Assessing performance using maturity model: a multiple case study of public health supply chains in Nigeria

Ramatu Abdulkadir (School of Engineering, Liverpool John Moores University, Liverpool, UK and Department of Pharmacy, National Ear Care Centre Kaduna, Kaduna State, Nigeria)
Dante Benjamin Matellini (School of Engineering, Liverpool John Moores University, Liverpool, UK)
Ian D. Jenkinson (School of Engineering, Liverpool John Moores University, Liverpool, UK)
Robyn Pyne (School of Engineering, Liverpool John Moores University, Liverpool, UK)
Trung Thanh Nguyen (School of Engineering, Liverpool John Moores University, Liverpool, UK)

Journal of Humanitarian Logistics and Supply Chain Management

ISSN: 2042-6747

Article publication date: 8 February 2023

Issue publication date: 4 January 2024

2100

Abstract

Purpose

This study aims to determine the factors and dynamic systems behaviour of essential medicine stockout in public health-care supply chains. The authors examine the constraints and effects of mental models on medicine stockout to develop a dynamic theory of medicine availability towards saving patients’ lives.

Design/methodology/approach

This study uses a mixed-method approach. Starting with a survey method, followed by in-depth interviews with stakeholders within five health-care supply chains to determine the dynamic feedback leading to stockout and conclude by developing a network mental model for medicines availability.

Findings

The authors identified five constraints and developed five case mental models. The authors develop a dynamic theory of medicine availability across cases and identify feedback loops and variables leading to medicine availability.

Research limitations/implications

The need to include mental models of stakeholders like manufacturers and distributors of medicines to understand the system completely. Group surveys are prone to power dynamics and bias from group thinking. This survey’s quantitative output could minimize the bias.

Originality/value

This study uniquely uses a mixed-method of survey method and in-depth interviews of experts to assess the essential medicine stockout in Nigeria. To improve medicine availability, the authors develop a dynamic network mental model to understand the system structure, feedback and behaviour driving stockouts. This research will benefit public policymakers and hospital managers in designing policies that reduce medicine stockout.

Keywords

Citation

Abdulkadir, R., Matellini, D.B., Jenkinson, I.D., Pyne, R. and Nguyen, T.T. (2024), "Assessing performance using maturity model: a multiple case study of public health supply chains in Nigeria", Journal of Humanitarian Logistics and Supply Chain Management, Vol. 14 No. 1, pp. 17-70. https://doi.org/10.1108/JHLSCM-05-2022-0053

Publisher

:

Emerald Publishing Limited

Copyright © 2023, Ramatu Abdulkadir, Dante Benjamin Matellini, Ian D. Jenkinson, Robyn Pyne and Trung Thanh Nguyen.

License

Published by Emerald Publishing Limited. This article is published under the Creative Commons Attribution (CC BY 4.0) licence. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial & non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this licence may be seen at http://creativecommons.org/licences/by/4.0/legalcode


1. Introduction

Essential medicines (EM) cater to the medical needs of most of a country’s population. Hence, medicines stockout is the bane of achieving goal three of the United Nations Sustainable Development Goals (SDGs), which focuses on the global attainment of good health and well-being for citizens (WHO, 2019; Olutuase et al., 2022). Nigeria is a developing country in West Africa that runs a federal political system with Abuja as the capital city. Nigeria has 36 states comprising of 774 Local Government Areas (LGAs) (Federal Ministry of Health, 2020). Health-care services in Nigeria are public sector driven (67%) in contrast to private health facilities, constituting only 33% of health facilities (Federal Ministry of Health, 2020). The public health sector has three levels of care, primary, secondary and tertiary care levels. Public Health-care Supply Chains (PHSCs) provide EM for the citizens through clinics and hospitals at all levels under the supervision of authorities at LGAs, state and federal governments (Hafez, 2018). These PHSCs are mainly fragmented and vertical, with inadequate funding, infrastructure and coordination with ongoing efforts to integrate public health programmes at the national level (Byrnes, 2004; Federal Ministry of Heath, 2016). Though the health sector is social and not profit-driven, the availability of EM is a priority for saving lives.

Kaduna State is in the northwestern part of Nigeria and operates the Drug Revolving Fund (DRF) model to deliver EM to patients. The DRF model is a brainchild of the Bamako initiative, introduced in 1987 to sub-Saharan African countries as a financing mechanism for the continuous availability of EM (Hardon, 1990). The DRF model provides medicines to patients at a subsidised rate, and the cash from sales is used to procure more medicines. Different versions of the model have evolved over the years while stakeholders still grapple with the implementation and sustainability of the DRF model (Tran et al., 2020; Ogunsola et al., 2021). Success stories of the model abound from extant studies, but some studies have also questioned the inequities and rational use of medicines that arise in different implementation settings (Uzochukwu and Onwujekwe, 2004; Uzochukwu and Onwujekwe, 2005; Tran et al., 2021). The controversies surrounding different DRF models make it imperative for user countries to continue to research methods and strategies for ensuring equitable drug distribution models to save the lives of citizens and ensure economic development in line with the SDGs (WHO, 2019). Thus, measuring and improving the EM Supply Chains (SCs) is critical for developing countries to achieve the SDGs.

To improve the EM SC, Kaduna State launched a transformation initiative to save lives and promote the well-being of its citizens through an integrated, gold-standard SC management system. The transformation initiative seeks to foster a performance-driven and self-sustaining system to deliver quality and sustainable health supplies to end-users and minimise medicines stockout. Essential medicine stockout in hospitals leads to treatment failures and loss of lives. The health-care industry is complex, where different stakeholders have varying expectations and attempting to reform a particular aspect might have an unwanted effect on another (Paina and Peters, 2011; Bigdeli et al., 2012). Hence, the need to assess the effect of these reform initiatives on the availability of medicines in the DRF SC. Research on medicines performance measurement (PM) in health-care SCs are scarce, particularly in developing countries where health-care systems are weak and rely on government support (Dixit et al., 2020). This study aims to determine the essential medicine stockout factors and dynamic systems behaviour in revolving fund SCs. The specific objectives of this study are:

  1. To determine the constraints leading to medicine stockout;

  2. To examine whether mental models improve understanding of medicine availability (MA); and

  3. To develop a dynamic theory for improving medicine availability performance (MAP).

This article attempts to answer the following research questions (RQ):

RQ1.

What are the constraints preventing medicine availability in essential medicines supply chains?

RQ2.

Did using a dynamic approach identify the structure, feedback and delays leading to medicine stockout in essential medicines supply chains?

RQ3.

How has a dynamic approach affected medicine availability in essential medicine supply chains?

Our theoretical proposition for this case study will show why MA only increases in organisations with a network systems perspective and not just internal and external organisational focus on increasing EM availability. This research will also show why staff monitoring of medicine stockout alone was insufficient to increase EM in the PHSCs.

1.1 Sequence of the research article

We arrange our article in the following sequence: firstly, we conduct a comprehensive review of the literature on EM stockout in health-care SCs to determine the research gaps and propose using system thinking and dynamics to fill the gaps. Secondly, we conduct the main study to measure MA and constraints with the Global Health Supply Chain Maturity Model (GHSCMM) tool and build on the process by determining key informants’ perceptions and mental models using the dynamics approach. Thirdly, we provide a case-by-case causal loop diagram (CLD) of individual mental models, which leads to the developing of a cross-case network mental model. Fourthly, we develop the network mental model as a dynamic theory for improving MAP. Finally, we conclude by considering the benefits and limitations of this study and propose areas for future studies.

2. Literature review on medicine stockout in public health-care supply chains

There is a frequent stockout of medicines in health-care facilities across Africa, including Nigeria (Kuwawenaruwa et al., 2020), where local markets drive the prices of medicines (Russo and McPake, 2009). Medicines stockout in PHSCs prevents access to care, leading to increased cost of care in private hospitals and inequitable distribution of medicines (Fitzpatrick, 2022). Medicines must be available and affordable to improve the elimination of diseases such as malaria (Lussiana, 2015; Lee et al., 2017), diabetes (Gong et al., 2018) and the treatment of childhood diseases (Kiplagat et al., 2014). Strategies to reform ineffective health-care SCs have been investigated over the years to save costs, make medicines accessible (Fu et al., 2017; Orubu et al., 2019) and improve efficiency and performance (Geng et al., 2017). Lack of competent personnel to handle medicines and manual inventory management practices lead to medicine stockout (Zuma, 2022). Countries receiving medicines as donor support have also experienced stockout due to funding uncertainty and inadequate performance monitoring (Gallien et al., 2017). The multi-tiered structure of EM SCs, complex delivery channels and delayed information flow prevent access to medicines (Vledder et al., 2019). Table 1 below summarizes the factors responsible for medicine stockouts in health-care SCs.

2.1 Measuring medicine availability performance

To determine the efficiency of SCs, measurements of service, asset and speed performance metrics across functions and organisations support continuous improvement across extended networks (Hausman, 2004). Avelar-Sosa et al. (2019) define SC performance as the capacity of organisations to understand the needs of their customers and fulfil customer needs with sufficient inventory levels through product availability and on-time deliveries. Besides the use of online measurements to improve information sharing and time to order and deliver medicines (Kasparis et al., 2021), the use of PM, information and technology and other management practices is crucial to MA in government hospitals (Dixit et al., 2019). The use of digital technology platforms for PM reduces medicines stockout by tracking and enabling decision-making through enhanced information flows and reduced delays in order fulfilment (Wang et al., 2022). PHSCs are humanitarian with a focus on service and not profit-driven. A lack of robust PM systems in non-profit SCs, when compared to commercial businesses (Adair et al., 2006), can lead to medicines stockout (Gallien et al., 2017). Measuring health-care systems’ performance guides the development of suitable policies (Aristovnisc, 2015) and affirms the value creation process from multiple stakeholders (Nuti et al., 2018). Medicine stockout rate, a critical component of SC performance, decreases with information technology platforms (Mwencha et al., 2017). Poor inventory management performance, budget and funding constraints and oversupply of medicines with short shelf lives contribute to medicine stockout (Gurmu and Ibrahim, 2017; Kebede and Tilahun, 2021), leading to calls for strengthening demand forecasting capacities (Leung et al., 2016).

2.2 Identifying the research gaps

Most studies identified some of the causes of medicine stockout in PHSCs and proposed strategies to prevent stockout (Table 2). However, none of the studies explores the dynamic role of mental models of the system operators in improving MA. In contrast, system dynamics studies like Bam et al. (2017) and Kumar and Kumar (2018) use dynamic models to measure and prevent specific medicine stockouts. Hence, our research attempts to fill these gaps by using system dynamic methods to understand the structure, feedback and delays leading to medicines stockout and develop the mental models of system operators to build a dynamic theory for improving MA. This research will benefit from using multiple case study methods as essential medicine stockout in hospitals is a contemporary issue globally. We do not have control over the hospitals, which necessitates using the case study method (Yin, 2015). Using a multiple case study approach will allow comparisons between cases and support building a dynamic theory for improving MA in hospitals using replication, pattern matching (Eisenhardt, 1989) and combining multiple mental models.

This study presents five case studies assessing medicine stockout from a system thinking and dynamics perspective. We use the GHSCMM tool to measure SCs operations and constraints leading to stockout (Association for Supply Chain Management, 2020). Furthermore, we use the interview protocol to explore the feedback mechanisms responsible for medicine stockouts, develop SC for the managers’ mental models and propose a dynamic theory of MA. We build on the works of Kim and Andersen (2012), Turner et al. (2013) and Tomoaia-Cotisel et al. (2022) that use only qualitative interviews for system dynamics model. In contrast, our study combines output from quantitative surveys and in-depth interviews to design and interpret CLDs in a mixed-method framework for building a systems dynamics model (Figure 1).

3. Methodology

3.1 Rationale for using quantitative and qualitative methods

Firstly, we use the quantitative GHSCMM survey to measure MA and the constraints leading to medicine stockout. The survey helps address objective one by identifying the factors hindering MA and providing vital input into developing interview protocol to evoke the causal statements responsible for medicine stockout. Using statistical data analysis from the survey provides details of the pattern of responses across cases and identifies the SC operations constraints responsible for stockout. We collect data on all the processes of providing medicines, from procurement planning to customer fulfilment, to understand the end-to-end operations of the DRF programme and identify underperforming areas that lead to stockout. The questions are analysed using statistical analysis on Qualtrics and viewed online with participants. Secondly, we collect interview data on participants’ perceptions of managing the DRF SC to understand the challenges affecting the provision of medicines in conformance to objective two. The interview questions probe causal statements from stakeholders working in the SCs. We rigorously interpret, analyse and standardise quotations from interview transcripts into variables to draw words and arrow diagrams and CLDs (Tomoaia-Cotisel et al., 2022). This grounded theory approach clarifies participants’ mental models of how the systems operate within the identified constraints to provide medicines and deepens understanding of factors leading to medicine stockout. We analyse the standardised variables into categories of MAP that affect the organisations internally, externally, and at the network level to help address objective three by developing a dynamic theory of MA. The rationale for mixed methods supports data triangulation (Yin, 2015) by building scientifically sound and transferable results (Ivankova and Wingo, 2018) through the integration of findings into a general theory (Kopainsky and Luna‐Reyes, 2008). See the methodology roadmap in Figure 2 below.

3.2 Quantitative and qualitative pilot study

We test the GHSCMM online assessment questionnaire (Appendix 1) for reliability using test-retest and content validity in a pilot study (Polit and Beck, 2006). The insights gleaned from the qualitative study pilot (Appendix 2) led to the design of an in-depth interview protocol for the main study (Figure 3). The in-depth interview is necessary from the systems perspective to understand how the hospital network operates to provide medicines to patients. The pilot was important as this study started in 2020 at the beginning of the COVID-19 pandemic. Adjustments were required to minimise the risk of exposure to the disease, like changing face-to-face interviews into telephone sessions.

We use an explanatory multiple-case method with replication logic design (Yin, 2015) to explore medicine stockout performance in five PHSCs, as described in Table 3. Multiple case studies broaden the analysis of result and provide convincing proof of this study’s robustness (Yin, 2015). The case study selection criteria include PHSCs in Kaduna State that operate a DRF programme (Figure 4). Ethical clearance was received from Liverpool John Moores University and the five case study organisations.

3.3 Medicine availability performance measurement

We conduct a 4-h workshop from March to May 2021 in each of the five case study organisations using the ASCM GHSCMM version 8.0 (Association for Supply Chain Management, 2020) to determine five public health SC MAP (Appendix 1). We administered 72 questions to 78 respondents that were selected using criterion sampling (Miles and Huberman, 1994) from departments responsible for DRF operations with inclusion criteria in Figure 4. Case A had 15 respondents, Case B (9), Case C (19), Case D (20) and Case E (15) respondents, as shown in Table 4. The workshops were a combination of virtual for Case A and face-to-face for Cases B, C, D and E. COVID-19 protocols were strictly adhered to, including physical distancing and use of personal protective equipment during face-to-face workshop sessions. We compute the data electronically and analyse it with Qualtrics software (2021). At the end of each session, we review the results with the respondents.

3.4 Semi-structured key informant interview for the main study

We use in-depth interview questions to elicit responses from heads of pharmacy departments and SC managers selected based on the criteria in Figure 5. The interview provides detailed information about the operations of EM and challenges leading to stockouts. We conducted interviews with five purposively selected respondents from July to August 2021. Each interview session lasted 40–60 min and was recorded and transcribed with Otter software. The respondents included four pharmacists (PH) and one supply chain manager (SM). We use open-text analysis of the transcripts to identify cause and effect statements and draw words and arrow diagrams which is combined and pruned into participants’ mental models (Kim and Andersen, 2012; Turner et al., 2013; Tomoaia-Cotisel et al., 2022). This article uses the Tomoaia-Cotisel et al., 2022 quotation analysis method to build the mental model of each manager in the system with Vensim PLE Plus 2022. The mental models allow us to visualise the system’s structure and comprehend how the participants perceive their operations structure, feedback and delays leading to medicine stockout.

4. Results and discussion

4.1 Global health maturity model assessment output

The GHSCMM findings showed that Case A had previously measured the DRF SC operations once, while Case B, C, D and E have never measured their entire DRF operations. In total, 80% of the case study sites reported never measuring the SCs, while 20% reported measuring operations using the online GHSCMM version once. The average scores for the five SCs were Case A (75%), Case B (66%), Case C (61%), Case D (55%) and Case E (45%) across categories of SC operations. The lowest category and constraint for Case A was infrastructure and assets (50%), fund and financial management was the lowest category and constraint for Case B (46.7%), Case C (40%), Case D (36%) and Case E (28.9%). The results showed that 80% of the case study sites (Case B, C, D and E) had funds and financial management as the constraint, while 20% (Case A) had infrastructure and assets (Table 5).

4.1.1 Medicine stockout performance at case study sites

We identify the connection between the constraints from the MM assessment and medicine stockout performance. The availability of medicines was 50%–75% in Cases A, B, D and E. Cases A, B, D and E reported a 25%–50% medicine stockout. While Case C had availability of less than 50% of the product with a stockout greater than 50%. More than 70% of products were affordable, within the health facility budgets and could be acquired for patients in Cases A, B and C. In total, 30% to 50% of products were cost-prohibitive and above the health facility budget in Cases D and E.

4.2 Case-by-case quotation analysis of interview transcript

System dynamics methods help us explore the structure and feedback driving the dynamics of the DRF system (Sterman, 2000). We use open-text analysis and systems dynamics methods of interpreting quotations from in-depth interviews with participants to draw words and arrow diagrams for each quotation (Kim and Andersen, 2012; Tomoaia-Cotisel et al., 2022). We use the words and arrow diagram to draw CLDs, which represent the mental model of each participant as the hospitals try to provide EM for the treatment of diseases and the perception of DRF operations in meeting the needs of patients.

4.2.1 Case A interview quotation analysis

Case A is experiencing problems in delivering medicines to patients, as observed by the response of the SC manager (SM01). For example, when asked about teamwork and getting medicines to patients:

[…] They should communicate information, get information together to get work done to achieve our goals as an organisation. […] The procurement [team] will need to know what the budget looks like, before they start quantifying or forecasting on what they will […] procure for the organisation. The data visibility [team] will have to come up with the data. […] The warehousing will have to inform the team […] to keep all the commodities that are needed to be procured. There has to be information sharing and communication among teams. It can be in form of […] sharing of reports […] or having data so that everybody could see or […] use the data to create a dashboard that every team can see and interpret what is going on in the organisation.

From this response, we can see that time delay in getting information across teams affects MA. When teams do not get information on time, it reduces the effectiveness of the process and leads to stockout. Information sharing delays affect medicine production by manufacturers. Teamwork and aligning processes increase the ability of cross-functional teams to get medicines to patients and minimises competition among functional units. The MM constraint of infrastructure and assets could be information and technology systems to provide visibility, as shown in the visibility loop where an increase in information sharing increases the production of medicine by the manufacturer. The mental model of SM01 and interpretation captures the feedback and delays in Figure 6. Full details of the quotation analysis for SM01 is shown in Appendix 3.

4.2.2 Case B interview quotation analysis

We observe fund leakages and disharmony between the treasury single account policies and the DRF, which connects to the financial constraint that prevents access to funds for the procurement of medicines. Inadequate staff inventory and procurement management capacity hinder the provision of medicines and information to patients and SC partners, as noted by the pharmacist (PH01):

[…] Only the head of department that has direct communication with the suppliers, no other person is expected to communicate with suppliers regarding any medication or drugs supply, […] the pharmacist communicates with the head of department[…] when the stock gets too low. […] usually the restocking is quarterly, due to procurement bureaucracy, It usually goes into like six months before drugs get replenished.

This statement and the mental model in Figure 7 show that bureaucracy and system’s structure delay information sharing leading to extended periods of stockout. Full details of the quotation analysis are in Appendix 4.

4.2.3 Case C interview quotation analysis

Quantification of medicines for procurement depends on available funds. Using digital platforms to share information with SC partners increases trust, which improves the ability to deliver medicines to the hospital. Transparency and accountability with digital tools increase sales and cash flow in the DRF programme and reduce patient wait time by increasing fill rate as indicated by PH02 statement:

Working together means, we should have a transparent policy, transparent in the sense that what goes on in pharmacy should be open to accounts at any time. […] transparency can be enhanced maybe through electronic data collection. […] when we digitalize or computerise the whole process, everybody will see what is happening at one point or the other. So, there should be no hidden agenda. […] that can only be done when all processes are computerised.

This statement shows that a lack of trust in the system and the perception of a “hidden agenda” affects the procurement process in a reinforcing loop and links to the fund and financial management constraint as shown in Figure 8. See full details of quotation analysis in Appendix 5.

4.2.4 Case D interview quotation analysis

Improving staff procurement capacity and deploying technology platforms ensures on-time ordering before stockout. Supply delays reduce with increasing payment of outstanding invoices, as stated by PH03:

For patients, we make sure there's constant supply of drugs. […] sustainability of medicines so that patients can have access to the drugs it's important to reduce lead times during order to be able to meet customer needs. Make sure we prepare list of medicines that are about to be exhausted on time. […] timely submission of data for procurement. There should be prompt payment of suppliers whenever they deliver medicine.

Delays from manual processes and minimal alignment of the DRF programme lead to a reinforcing stockout loop impervious to the balancing loops of initiating procurement and sending multiple orders (Figure 9). Shrinking inventory due to pilferages and expiries links to MM constraints of financial management, which affect the procurement planning process due to inaccurate inventory records (Appendix 6).

4.2.5 Case E interview quotation analysis

Delays in medicine shipment led to medicine stockout in a reinforcing loop, while external government funding will increase MA through procurement and better customer satisfaction. Procurement is hampered by bureaucracy as stated by PH04:

[…] The collaboration can be better, if the pharmacist is given more to operate like sometimes, because before a major decision is taken, every part of this team […] has to be carried along, or when […] purchases are made, the approval has to come from somewhere, this can affect how often we get drug into the facility. I think that if the pharmacists are given more free room to operate and we get drug into the facility, […] people can see the need that we don't have to wait for bureaucracy for drugs to be brought in […].

Delays due to an increase in lead times decrease MA of the DRF programme and increase medicine stockout (Figure 10). Measuring performance and working hard, as seen in the performance balancing loop does not prevent stockout as delays in shipment continue to deplete medicine inventory. The inability to pay suppliers on time due to financial constraints and the subsequent reluctance of suppliers to deliver orders traps the system in a vicious cycle (Appendix 7). See the sample quotation analysis of PH04 in Figure 11.

4.3 Dynamic hypothesis across cases

We combine and prune the CLDs from Cases A, B, C, D and E (Kim and Andersen, 2012; Tomoaia-Cotisel, 2018) to draw the network mental model of medicines stockout in public health-care DRF SCs. The reinforcing feedback loops of sending multiple orders and paying suppliers outstanding invoices increase stockout as shrinkage and associated leakage of funds makes stockout worst. The staff need visibility of the cash collected from patients and available for procurement. Suppliers continue receiving orders for replenishment but cannot deliver the products leading to supply delays as they demand outstanding payments from the hospitals. The staff selling the medicines presuppose that the accounts staff have collected all cash from customer sales. The accounts department cannot pay suppliers for previous deliveries, and suppliers are not delivering medicines fast enough leading to continuous medicine stockout. The balancing loops of initiating procurement and replenishment do not prevent stockout as the suppliers do not get paid on time to enable the delivery of new orders, as shown in Figure 12 below. The dynamic hypothesis of MA proposes the consideration of four internal medicines availability loops, which includes sending multiple orders, restocking medicines, procurement capacity and MA. The five external MA loops of interest include paying suppliers, initiating procurement, trust, increased collaboration and performance. The two network medicines availability loops of collecting cash and sharing information with stakeholders complete the 11 loops driving MA.

A cross-case analysis of mental model variables shows that Case A is gravitating towards network MA performance compared to Cases B, C, D and E, which are more internally focused. Case A considers collaboration, medicine production and equity as critical factors in making medicines available at the network level. We observe that supplier and stakeholder trust is a big issue at the level of external MA performance for all cases. Cases C and E note the influence of government and partner trust on external supplier and customer performance. We observe that price visibility was only mentioned by Case A as a factor in satisfying customer medicine orders. Case B has no variables for network performance, while Cases A, C, D and E indicate the importance of the visibility of medicines in the network (Table 6).

4.4 Discussion

Findings from this study show that all five cases are similar as they struggle with internal and external MA challenges, but Case A is advanced in the provision of medicines as the SC uses data analysis and demand-driven decision-making to provide medicine to patients. Case A also has nine SM, while the remaining cases did not have a single SM. Inadequate SC capacity hinders operations for Cases B, C, D and E, likely the reason behind their slow external and network progress towards MA. Staff capacity is a requirement for medicine stockout performance improvement. In addition, the network orientation of Case A towards collaboration, medicine production and equity in increasing MA supports our theoretical proposition for this case study that MA only increases in organisations with a network systems perspective and not just internal and external organisational focus to increasing EM availability. Monitoring medicines stockout alone does not increase MA as internal, external and network variables drive the provision of medicines in PHSCs. Exploring collaboration with manufacturers and medicines suppliers can reduce stockout by fostering trust and visibility. The price visibility variable observed in Case A improves trust in the network, which leads to an increase in medicines availability corresponding to Nakambale and Bangalee’s (2022) findings. We use grounded theory and case study approach for model conceptualisation by rigorously interpreting interview data to develop a dynamic hypothesis and identify the concepts of internal, external and network MA. Our mixed-method research helps us to assess the relationships between variables and compare data to validate the working hypothesis. In addition, the multiple case study method integrates findings across cases into a general theory of MA (Kopainsky and Luna‐Reyes, 2008). This study’s dynamic hypothesis mental model helps users dissect and understand the underlying variables behind medicine stockout in their SCs and shift their thinking towards network MAP. Understanding the medicine SC as a network helps users see beyond the boundaries of their organisations to explore other external variables affecting suppliers and customers, such as trust and price visibility. A lack of understanding of dynamic health-care systems is likely responsible for the failed implementation of strategies to reduce essential medicine stockouts in the performance-based financing system (Sieleunou et al., 2020).

The network mental model combines the perceptions of the five participants, SM01, PH01, PH02, PH02 and PH04, across five cases to understand the behaviours driving medicine stockout and serves as a dynamic framework for shifting participants’ mental models in health-care SCs for network medicine stockout improvement. The network model gives a clear picture of the behaviours that need to be addressed to reduce medicine stockout and improve availability of medicines. Systems thinking and dynamics clarifies the structure, feedback and delays leading to stockout in the DRF system. Increasing MA at the hospital level is sub-optimization when medicine production constraints from external suppliers and price sensitivity of customers are not considered. We propose the network mental model as a grounded dynamic theory of MA in revolving fund SCs. The network orientation of Case A might be responsible for the higher MAP, as observed with the MM assessment. Even though Case E considers visibility for network performance, it is the only organisation with staff attrition which could explain its poor performance during the MM assessment. Staff attrition limits the capacity to deliver the needed services even when funds are available to procure medicines. Overworked staff will make mistakes in the customer fulfilment process and increase lead times, further reinforcing staff dissatisfaction and reducing internal MA performance.

5. Conclusions

Our study identifies the dynamic variables driving medicine stockout in PHSCs. The dynamic network mental model shifts the perceptions and understanding of health-care SC practitioners away from internal to a network systems orientation of increasing MAP. The network model serves as a dynamic theory of MA and a learning tool for advocacy to stakeholders. The model helps users reflect on their roles and stakeholders towards improving MAP by working on the structure, feedback and delays in the DRF system. We recommend that Cases B, C, D and E collaborate and leverage the SC capacity of Case A to reduce capacity gaps. Knowledge sharing across the SCs will improve the network’s MAP since they all share the same suppliers, customers and other stakeholders as reference hospitals. The five cases can explore other areas of synergy like pooled procurement, sharing technologies and best inventory management practices to increase the availability of EM to serve patients.

Our study bridges the gap between practice and theory by proposing a dynamic theory of MAP in PHSCs. We contribute to the systems thinking and dynamics body of knowledge by fusing five PHSCs mental models into a network model. This study helps SC managers see the mental models of medicine stockout and the dynamic complexity of increasing MA building on Tomoaia-Cotisel et al. (2022) study. We develop a dynamic theory of MA in revolving fund SCs to bridge the gap between theory and practice and support our theoretical proposition that MA only increases in organisations with a network systems perspective and not internal and external organisational focus to increasing EM availability.

Healthy citizens contribute positively to societies and the economic development of nations. This research will benefit public policymakers and hospital managers as they strive to improve MA by providing a dynamic systems perspective of health-care SCs to address the challenges towards achieving goal three of SDGs. Hospital managers and policymakers will design sustainable policies with an increased understanding of system feedback and behaviours to improve essential MA and save lives, as noted in Aristovnisc’s, 2015 study. The findings from this study can be generalised to revolving fund PHSCs in other African countries and can help increase MA in other donor-supported programme SCs.

The limitations of this study include the need to expand the model boundary to gain insights from other stakeholders like medicine manufacturers and suppliers, which we will be addressing in subsequent studies. The dynamic theory will be tested and validated in subsequent studies. We also need to build a stock and flow model for simulating and testing policies to improve the availability of medicines in the PHSCs. Finally, we will expand this study by modelling and simulating policies to reduce medicine stockout and improve availability in the DRF network.

Figures

Dynamic theory framework to improve medicine availability in PHSCs

Figure 1

Dynamic theory framework to improve medicine availability in PHSCs

Methodology roadmap for developing a dynamic theory of MA

Figure 2

Methodology roadmap for developing a dynamic theory of MA

Outline of in-depth interview questions derived from the pilot study

Figure 3

Outline of in-depth interview questions derived from the pilot study

Inclusion and exclusion criteria for selection of case study organisation

Figure 4

Inclusion and exclusion criteria for selection of case study organisation

Inclusion and exclusion criteria for key informant interview

Figure 5

Inclusion and exclusion criteria for key informant interview

Case A participant mental model and interpretation of findings

Figure 6

Case A participant mental model and interpretation of findings

Case B participant mental model and interpretation of findings

Figure 7

Case B participant mental model and interpretation of findings

Case C participant mental model and interpretation of findings

Figure 8

Case C participant mental model and interpretation of findings

Case D participant mental model and interpretation of findings

Figure 9

Case D participant mental model and interpretation of findings

Case E participant mental model and interpretation of findings

Figure 10

Case E participant mental model and interpretation of findings

Sample quotation analysis for participant (PH04)

Figure 11

Sample quotation analysis for participant (PH04)

Dynamic hypothesis of MA across Case A, B, C, D and E

Figure 12

Dynamic hypothesis of MA across Case A, B, C, D and E

Factors responsible for medicines stockout in health-care SCs

Authors Data collection approaches Data analysis techniques Factors responsible for medicine stockout
Aigbavboa and Mbohwa (2020) Quantitative survey Exploratory factor analysis Inadequate competent staff, lack of infrastructure and regulatory capacities
Bate et al. (2010) Sampling technique Statistical analysis Diversion of medicines from public to private health-care sector
Okoye et al. (2022) Survey, interviews, observation and document reviews Statistical analysis Lack of inventory management capacities, inadequate competent staff, inadequate funds and procurement delays from bureaucracy
Nditunze et al. (2015) Document reviews Statistical analysis Medicine campaigns, importation delays, personnel turnover, proliferation of medicine brands
Mikkelsen-Lopez et al. (2014) Data reviews Statistical analysis Inadequate medicine supplies and delivery delays
Zakumumpa et al. (2019) Interviews Thematic analysis Supply of short-dated medicines, deficient quantification leading to supply of inadequate or excess medicine inventory
Hwang et al. (2019) Survey Statistical analysis Inadequate visibility, monitoring and medicine transparency
Kuwawenaruwa et al. (2020) Survey, interviews, observation and document reviews Statistical analysis Inadequate forecasts, replenishment delays, upstream shortages
Gils et al. (2018) Document reviews, observation and interviews Statistical analysis Insufficient planning for stocking medicines
Koomen et al. (2019) Survey and data reviews Regression analysis Increase poverty which prevents patient access to medicines
Martei et al. (2018) Data reviews and interviews Statistical analysis Inefficient procurement practices
Kumar and Kumar (2018) Survey System dynamics modelling and simulation Inadequate safety stock
Bam et al. (2017) Data reviews System dynamics modelling and simulation Prolonged supplier lead times, excessive medicine inventory
Kefale and Shebo (2019) Survey Statistical analysis Lack of inventory management capacities

Measurement of medicines stockout and improvement strategies in public health-care SCs

Type of supply chain Measurement of medicines stockout Medicine availability improvement strategies Authors
Pharmaceuticals Use of national data to track and prevent medicine shortages Collaboration between national stakeholders Bouvy and Rotaru (2021)
Public-private partnerships in hospitals Effective contract management in direct purchasing from selected and reputable vendors Kuwawenaruwa et al. (2021)
Price differentials between local and international sourcing Strategies to improve pricing of medicines locally Nakambale and Bangalee (2022)
Cold chain Sensory networking and computer hardware to improve cold chain logistics Affordable warehouse cold chain systems Schon and Streit-Juotsa (2015), Shafiq et al. (2019)
Measures availability, stockout and storage conditions of vaccines Intervention of top management, training and supervision of staff Feyisa et al. (2021)
Generic medicines Considers use of value stream map and ordering to from a supply chain wide perspective Enhance the use of resources Dixit et al. (2019)
Essential medicines Dynamics of SC systems and policies that affect cost and availability of paediatric cancer medicines Regional integration of forecasting and procurement Boateng et al. (2021)
Direct distribution of medicines through cross-docking to last mile Working with political actors and stakeholders for the successful implementation of strategies Vledder et al. (2019)
Determine health outcomes derived from digitizing last mile medicine delivery Deploy hospital logistics management information systems to hospitals to save children’s lives Fritz, Herrick and Gilbert (2021)
Measures donor fund disbursement vis-à-vis medicine procurement Managing timing risk in disbursing fund for procurement Gallien et al. (2017)
Impact of COVID-19 on prices of medicine and stockout Increased funding from government and medicine exchange collaborative efforts between hospitals Aljadeed et al. (2021)
Weak systems of procuring medicines Buying from local suppliers with improved production capacity and robust contract management with the state actors Chebolu-Subramanian and Sundarraj (2021), Magadzire et al. (2017)
Determine optimum inventory in hospitals Build system dynamic model for prediction, measuring and improving the SC. Maintaining safety stock and reducing supplier lead times Kumar and Kumar (2018), Bam et al. (2017)
Sexual and reproductive medicines Barriers to sexual and reproductive care Strategies to reduce medicine delivery delays Ooms et al. (2022)

Descriptions of public health-care SCs with revolving fund distribution channels

Case study Supply chain description Ownership structure Distribution channels Location in Kaduna
Case Study A A supply chain organisation that procures and distributes essential medicines to all clinics and hospitals at the primary, secondary and tertiary level of care State Government Primary health-care clinics (1051), Secondary health-care hospitals (35) and Tertiary health-care hospital (1) Kaduna South LGA
Case Study B A tertiary specialist hospital that provides essential medicines for the treatment of ear, nose and throat diseases Federal Government Active stores (3) Kaduna North LGA
Case Study C A tertiary teaching hospital that provides essential medicines for the treatment of diseases Federal Government Outstation pharmacy (3), Active stores (2) Zaria LGA
Case Study D A tertiary specialist hospital that provides essential medicines for the treatment of neuro-psychiatric disorders Federal Government Active stores (8) Kaduna South LGA
Case Study E A tertiary specialist hospital that provides essential medicines for the treatment of eye diseases Federal Government Active stores (2) Kaduna South LGA

List of maturity model assessment participants’ department

Participants Case A Case B Case C Case D Case E Total
Pharmacy 0 2 15 14 7 38
Supply chain management 9 0 0 0 0 9
Administration and planning 4 2 0 0 2 8
Accountant 1 1 1 1 2 6
Store 0 2 1 1 3 7
Procurement 1 1 0 1 1 4
Quality control 0 0 2 0 0 2
Audit 0 1 0 1 0 2
Laboratory 0 0 0 1 0 1
Maintenance 0 0 0 1 0 1
Total 15 9 19 20 15 78

MAP measurement output

Categories Case A (%) Case B (%) Case C (%) Case D (%) Case E (%)
Score obtained
Service-delivery point (SDP)/health facility (HF) visibility 66.7 62.2 56.7 53.3 45.9
SDP/HF inventory management 90 80 75 72 66.7
SDP/HF order management 80 66.7 58.3 56 51.1
Warehouse/store visibility 86.7 77.8 70 65.3 56.3
Warehouse/store inventory management 90 80 75 70 62.2
Warehouse/store order management 80 75 62.5 54 41.7
Warehouse/store operations 93.3 91.1 73.3 64 47.4
Transportation 60 57.8 51.7 45.3 36.5
Expiry management 90 73.3 70 60 46.7
Procurement 73.3 64.4 60 57.3 51.9
Infrastructure and assets 50 50 52.5 46 37.8
Performance management 80 66.7 60 53.3 41.5
Analysis and evaluation 100 80 75 64 44.4
Demand planning 70 70 67.5 58 42.2
Supply planning 80 73.3 70 60 42.2
Fund management 60 46.7 40 36 28.9
Financial management 60 46.7 40 36 28.9
Governance 60 53.3 47.5 42 32.2
Staff training/development 70 53.3 50 44 33.3
Patient-focused performance 60 60 56.7 54.7 52.6
Average score 75 66 61 55 45

Cross-case mental model variable analysis to improve MA

Performance level Case A variables Case B variables Case C variables Case D variables Case E variables
Internal medicine availability performance Process integration
Information sharing
Internal integration
Internal performance
Fill rate
Data analysis
Data-driven decisions
Committed funds
Available funds
Customer order
Internal performance
Time delay
Medicine inventory
Available funds
Process integration
Procurement
Staff satisfaction
Staff capacity
Information sharing
Stockout
Procurement
Staff capacity
Information sharing
Time delay
Supply delay
Cash collected
Medicine inventory
Performance
Customer orders
Fill rate
Leakage
Internal integration
Time delay
Hospital medicine order
Available funds
Procurement
Internal trust
Customer orders
Cash collected
Selling
Shipment
Supply delay
Procurement
Medicine inventory
Information sharing
Medicine order
Process integration
Internal performance
Fill rate
Procurement
Delivery
Information sharing
Available funds
Time delay
Medicine inventory
Time delay
Customer order
Time to reconcile inventory
Time to average orders
Selling price
Information sharing
Stockout
Capacity
Stockout
Customer orders
Supply delay
Time to correct inventory
Shrinking inventory
Time delay
Medicine availability
Fill rate
Process integration
Procurement
Shipment
Customer orders
Cash collected
Medicine inventory
Available funds
Stockout
Productivity
Information sharing
Staff satisfaction
Performance
Medicine inventory
Staff attrition
External medicine availability performance Supplier integration
Process integration
Technology integration
Customer integration
Hospital-supplier relationship (trust)
Contract management
Transactional relationship
Collaboration
Non-alignment
Communication
Information sharing
Price visibility
Medicine in transit
Information sharing
Technology integration
Funding
Hospital-stakeholder relationship (trust)
Hospital-supplier relationship (trust)
Communication
Shipment
Supply delay
Information integration
Information sharing
Patient waiting time
Supplier performance
Supplier integration
Medicine in transit
Technology integration
Hospital-supplier relationship (trust)
Hospital-government relationship (trust)
Information sharing
Funding
Hospital-stakeholders relationship (trust)
Supply delay
Customer satisfaction
Technology integration
Funding
Partner satisfaction
Hospital-partner relationship (trust)
Network medicine availability performance Visibility
Collaboration
Production
Medicine equity
Visibility Visibility Visibility

Interview quotation analysis for supply chain manager (SM01)

ParticipantNumber-Quote number) “… variables in Phrase(s)” (word count in variables/total word count in causal statement) Phrase(s) from participant quote denoting model variables Interpreted model variables Causal link between model variables (→=causal link, --‖→=causal link with delay, +/− =positive or negative polarity) Comments
SM01-01) “…They communicate information, get information together to get work done to achieve our goals as an organisation. …The procurement will need to know what the budget looks like, before they start quantifying or forecasting on what will … procured for the organisation. The data visibility will have to come up with the data. …The warehousing will have to inform the team …to keep all the commodities that are needed to be procure. There has to be information sharing and communication among teams. It can be in form of … sharing of reports …or having data so that everybody could see or … use the data to create a dashboard that every team can see and interpret what is going on in the organisation.” (123/186) - get information together to get work done
- will need to know
- will have to come up with
- will have to inform the team
- before they start quantifying or forecasting
- create a dashboard that every team can see
- There has to be information sharing and communication among teams
- having data so that everybody could see
Time delay
Process integration
Information sharing
Visibility
Process integration–‖→+Information sharing–‖→+Visibility The time delay in getting information across teams affects medicine availability. When teams do not get information at the same time reduces process integration
SM01-02) “…The teams will have to first understand that they need each other to be successful, it’s not a competition. …it needs to be an integration and a collaboration within the team. Then secondly based on how the operation of that organisation flow, …will have to look at their process and pinpoint the best way to communicate, communication is key, so if they are good in technology, that’ll be fine.” (69/133) - it needs to be an integration and a collaboration
- based on how the operation of that organisation flow
- will have to look
- if they are good in technology
Internal integration
Time delay
Process integration
Technology integration
Internal integration–‖→+Process integration→+Technology integration Teamwork increases internal integration, and the need to align processes and increase flow of information can be achieved with technology
SM01-03) “…communication with patients is providing the needed commodities that the patient needs as our clients, … transcribe to getting the records of what was given to the patient directly. This consumption is used to quantify what we need. …to communicate with suppliers is … we don’t share data with them. …we only tell them what we need, and how much of it we need. We also communicate with the suppliers on our processes for them to understand the organization’s goal. So we can work better. … when it comes to performance on the supplies needed by the organisation, I will say that the communication with the patients are minimal.” (109/186) - providing the needed commodities
- quantify what we need
- we don’t share data with them
- communicate with the suppliers on our processes
- when it comes to performance
- communication with the patients are minimal
Customer orders
Medicine inventory
Time delay
Supplier integration
Internal performance
Customer integration
Customer order--‖→+Medicine inventory
Supplier integration→+Internal performance--‖→−Customer integration
Increasing communication with suppliers leads to availability of more medicines, but also a reduced interaction with patients prevents them from stocking what the patients’ needs
SM01-04) “I would say by doing their best to ensure that the patient gets their medicines when they need it, …everybody will seek to ensure that happens to improve communication with patients.” (31/49) - ensure that the patient gets their medicine
- improve communication with patients
Fill rate
Customer integration
Fill rate→+Customer integration Better communication with patients enables stocking of the right medicines
SM01-05) “… improve our working relationship with the suppliers by sharing information. …i think that is lacking. Currently, there’s no information sharing especially data. …sharing information with the suppliers, that can help the suppliers to serve us better. Then also improving communication with the suppliers on contract terms and reviewing contracts so that it will not be just …selling and buying kind of relationship.” (63/90) - improve our working relationship with the suppliers
- no information sharing, especially data
- improving communication with the suppliers on contract terms
- it will not be just …selling and buying kind of relationship
Hospital-supplier relationship (Trust)
Time delay
Contract management
Transactional relationship
Hospital-supplier relationship (trust)--‖→+Contract management→−Transactional relationship Building closer ties with suppliers is hindered by the delay in building trust, which leads to transactions with suppliers and prevents optimal stocking of medicines
SM01-06) “The best way to improve …is to collaborate with stakeholders by engaging them in whatever we are doing. Always ready with … our … plans so that we don't have partners doing their own plans or activity on the organisation. And we will support them as they also support us in achieving our goals. I also think that the information sharing with other partners include sharing achievements of the organisation. Sharing the plans of the organisation to help with better collaboration.” (81/137) - collaborate with stakeholders
- Always ready with … our … plans
- don’t have partners doing their own plans or activity
- information sharing with other partners
Collaboration
Time delay
Non-alignment
communication
Partner collaboration--‖→−Non-alignment of partners→+Communication Partners working independently is caused by delay in collaboration and shared vision which is improved with communication
SM01-07) “…for patients we share limited information …. What we share currently is the prices, the unified selling prices of the medicines we have at the facility, i.e. giving the patient’s visibility for them to know the cost of the medicines they’re using, thereby improving relationships with patients and improving visibility as a way of the patient to trust in government in hospitals. With higher stakeholders we share information on summary report of the basic performance including performance on medicine availability at the facility which translates to whether patients got medicines when they visited those facilities.” (95/165) - for them to know the cost of the medicines they are using
- improving relationships with patients
- medicine availability
Price visibility
Customer integration
Fill rate
Price visibility→+Customer integration→+Fill rate Customers can access more medicines when there’s transparency in pricing
SM01-08) “I love technology. However, I know that basically we’ve not gone far on technology. However, if wishes were horses we can ride, i’ll prefer that we have a platform like a dashboard and all the stakeholders depending on the level can have access to the data and information. They can view them and readily accessible. However, …we can have newsletter, maybe quarterly report sharing whether hardcopy or e-copy, a summary of supply chain performance at different levels. Information sharing should be part of the culture of the organisation.” (88/134) - we have not gone far on technology
- have access to the data and information
- should be part of the culture of the organisation
Technology integration Technology integration→+Access to information→+Information sharing culture Information sharing culture is improved with technology and access to information
SM01-09) “The …dashboard is used to analyse and … we use to make decisions, good … from all the data we're getting from operations.” (23/79) - dashboard is used to analyse
- use to make decisions
Data analysis
Data-driven decisions
Data analysis→+Data-driven decisions Analysing data enhance decision-making
SM01-10) “…we can only improve performance by using the real consumption data to drive our activities and operations. The data should be available and visible for use to everyone. The information should be shared with the suppliers to collaborate better to understand …our consumption rate to plan for production of needed medicines.” (50/96) - real consumption data
- data should be available and visible
- to collaborate better to understand … our consumption rate
- plan for production of needed medicines
Time delay
Information sharing
Collaboration
Production
Information sharing--‖→+Supplier collaboration--‖→+Medicine production Collaboration is delayed by information sharing, which also delays production of medicines
SM01–11) “It will help the donor to know what is already available so that they don’t duplication effort by doing what the organization is already doing.
… help government by encouraging accountability and lead to more support from the government,…the government can go ahead to support more because Government wants to see accountability of whatever resources that have been allocated to any organisation. for the Civil Society Organizations … visibility will help them work with the community to get people to patronize hospital and create demand that will increase the population of people attending the hospitals and the volume of demand will increase economy of scale and trust at the community.” (110/130)
- what is already available
- duplication effort
- encouraging accountability
- can go ahead to
- allocated to any organisation
- create demand
- increase economy of scale
Medicine inventory
Medicine in transit
Committed funds
Time delay
Available funds
Customer order
Medicine inventory
Medicine inventory--‖→+Medicine in transit--‖→+Committed funds→+Available funds
Customer order--‖→Medicine inventory
When receiving medicines is delayed from the supplier, available funds for procurement of medicines is depleted and customer orders cannot be fulfilled
SM01-12) “Yes, because it means that the organization is achieving its goals …and it’s an incentive for the organisations to do better. There is increased demand and on-shelf availability of products which will lead to higher turnover for the drug revolving fund even though it is a government organisation … is not for profit. However, it will reduce out of pocket expenses for the patients.” (64/66) - incentive for the organisations to do better
- on-shelf availability
- which will lead
- turnover
- reduce out of pocket expenses
Internal performance
Medicine inventory
Time delay
Available funds
Medicine equity
Performance--‖→+Medicine inventory--‖→+Available funds--‖→+Medicine equity The subsidised medicines from government will increase equity after time delays

Interview quotation analysis for pharmacist (PH01)

ParticipantNumber-Quote number) “… variables in Phrase(s)” (word count in variables/total word count in causal statement) Phrase(s) from participant quote denoting model variables Interpreted model variables Causal link between model variables (→=causal link, --‖→=causal link with delay, +/−=positive or negative polarity) Comments
PH01-01) “…if you identify such companies and pay them when due, that means you developed a good relationship with the supplier. if you have expired items or they’re about to expire, you can call on their attention to come and retrieve those medications or if you have any other formulation preferences, they can be called upon to replenish your stock. When you establish a pattern for purchase or replenishment where interests are considered …this system tries to delay the supply of medication, so we go into out of stock.” (88/144) - when due
- pay them
- relationship with the supplier
- where interests are considered
- call on their attention
- out of stock
Time delay
Available funds
Hospital-supplier relationship (trust)
Information sharing
Stockout
Available funds--‖→+Hospital-supplier relationship (trust)→+Information sharing→−Stockout Payment of suppliers and information delays lead to stockout of medicines. Conflict of interest during procurement disrupts leads distrust and medicine stockout
PH01-02) “… let's have a team that works together all through the process and ensures that at the end of day the patient gets what he needs.” (25/36) - works together all through the process
- patient gets what he needs
Process integration
Medicine inventory
Process integration→+Medicine inventory Alignment of internal processes improves medicine availability
PH01-03) “we give them specifications of drug names, that’s all, we don’t recommend. They are registered companies already, so those companies key into the bidding. I think having laid down rules and everyone takes his own responsibilities stating it legally or officially will go a long way in improving such relationship with the … drugs should not be treated as general commodities.” (61/199) - specifications of drug names
- key into the bidding
- improving such relationship
- drugs should not be treated
Medicine inventory
Procurement
Hospital-supplier relationship (trust)
Staff satisfaction
Medicine inventory→+Procurement→+Hospital-supplier relationship (trust)→+IS satisfaction Pharmacists are happy when medicines are prioritised during procurement
PH01-04) “…all committee members should undergo training on … logistics so that they will know what they ought to do and how they will improve on the quality of services rendered to the patient. They should establish good relationship with the stakeholders. (41/60) - undergo training
- quality of services
- good relationship with the stakeholders
Staff capacity
Medicine inventory
Hospital-stakeholder relationship (trust)
Staff capacity→+Medicine inventory→+Hospital-stakeholder relationship (trust) Developing competency in staff will improve the image of the hospital
PH01-05) “…only the head of department that has direct communication with the suppliers, no other person is expected to communicate with suppliers regarding any medication or drugs supply, …the pharmacist communicates with the head of department… when the stock gets too low. …usually the restocking is quarterly, due to procurement bureaucracy, It usually goes into like six months before drugs get replenished.” (61/118) - direct communication
- stock gets too low
- procurement bureaucracy
- six months
- drugs get replenished
Information sharing
Stockout
Time delay
Procurement
Information sharing→+Procurement--‖→−Stockout Delay in information sharing with suppliers and supply chain partners increase stockouts
PH01-06) “…training and retraining of staff in the pharmacy. Having them knowing so much about the work on the drugs so that they will have enough knowledge to disseminate to the patients’ during dispensing is very important.” (36/69) - training and retraining of staff
- disseminate to the patients
Staff capacity
Information sharing
Staff capacity→+Information sharing Increased capacity enhances knowledge sharing in the hospital
PH01-07) “…online platforms for purchasing commodities if such platforms could be used for drugs, we’ll get prompt supply of medications and easy payment because mostly you have to pay then get your commodities or pay on delivery such things will improve the availability of medication. So it makes the … supply time shorter, and you get to have drugs, whenever you need them.” (62/134) - online platforms for purchasing commodities
- prompt supply
- supply time shorter
- easy payment
- availability of medication
Technology integration
Time delay
Supply delay
Cash collected
Medicine inventory
Technology integration--‖→−Supply delay→−Medicine inventory→+Cash collected Improving visibility with technology improves medicine availability and cash management
PH01-08) “…if i dispense good number of drugs and prescription without having an out of stock. …that is a yard stick for measuring performance. …the account, I expect them to make a smooth payment to suppliers.” (/56) - out of stock
- measuring performance
- smooth payment to suppliers
Stockout
Performance
Available funds
Available funds→−Stockout→−Performance When suppliers are not paid, they do not supply medicines to the hospital, which increases stockout rate
PH01-09) “…the pharmacist, makes sure that he raises request when due, he doesn't go out of stock before raising a request he has …a timeframe to have that stock. …the procurement people should make sure the right supplier supplies the medication at the right amount considering the best quality.” (48/77) -raises request when due
- out of stock
- a timeframe
- supplies the medication at the right amount
Customer orders
Stockout
Time delay
Procurement
Customer orders--‖→+Stockout→+Procurement The pharmacist should not wait to go out of stock before restocking. Knowing when to restock is important to prevent stockout
PH01–10) “if I had the power, I would want government to look at the purpose of setting up a drug revolving fund. Because having a drug revolving fund means the drug, the proceed from the sales of drugs is what you use to replenish the drug and you’re expected to be revolving the fund. …the government has defied those rules by merging all accounts into Treasury Single Account and it makes the DRF not to access the funds directly, it brings about a delay in the whole procurement process to at the end of the day, you go out of stock for a very long time due to inaccessibility of funds, and mostly they don’t give priority to buying drugs… instead, they go on other projects with the proceeds from DRF.” (130/159) - I had the power
- purpose of setting up a drug revolving fund
- sales of drugs
- replenish the drug
- access the funds directly
- a delay
- a very long time
- out of stock
- don’t give priority to buying drugs
- they go on other projects with the proceeds from DRF
Staff satisfaction
Fill rate
Cash collected
Procurement
Available funds
Time delay
Stockout
Funding
Leakage
Staff satisfaction--‖→+Fill rate ---//→+Procurement→+Cash collected→+Available funds--‖→+Leakage--‖→+Funding--‖→−Stockout Government and hospital management do not prioritise medicine procurement. The Treasury Single Account policy prevents access to DRF funds. Lack of access to funds leads to stockout of medicines for extended periods of time

Interview quotation analysis for pharmacist (PH02)

ParticipantNumber-Quote number) “… variables in Phrase(s)” (word count in variables/total word count in causal statement) Phrase(s) from participant quote denoting model variables Interpreted model variables Causal link between model variables (→=causal link, --‖→=causal link with delay, +/−=positive or negative polarity) Comments
PH02-01) “The way we work together in specifically, pharmacy, accounts, procurement is that during tendering process, … normally we make purchases through tender. … the pharmacy department will go around to all the clinical department and collect their needs. … so the pharmacy departments initiate the quantification process for whatever is going to be procured. … the accounts department will now inform the pharmacy department of the available funds in the accounts for procuring the needed medicines. … the account is ready with the money then we can go ahead and do tender to award the medicines to the suppliers.” (99/176) - we work together
- will go around to all the clinical department
- for whatever is going to be procured
- available funds
- award the medicines to the suppliers
Internal integration
Time delay
Hospital medicine order
Available funds
Procurement
Internal integration--‖→+Hospital medicine order→+Available funds--‖→+Procurement Working across departments takes time which delays procurement of medicines
PH02-02)Working together means we should have a transparent policy, transparent in the sense that what goes on in pharmacy should be open to accounts at any time. … transparency can be enhanced maybe through electronic data collection. …when we digitalize or computerise the whole process, everybody will see what is happening at one point or the other. So there should be no hidden agenda. … that can only be done when all processes are computerised.” (75/185) - Working together
- when we digitalise
- everybody will see what is happening
- no hidden agenda
Internal integration
Time delay
Visibility
Internal trust
Internal integration--‖→+Visibility--‖→+Internal trust Delay in working together and lack of data openness breeds distrust
PH02-03) with patients, what we normally do is … verify the prescription. … everything that the patient needs is actually in the prescription. … a pharmacist does a thorough verification. … the accounting department are now the ones … that will collect the cash from the patient. … the prescription comes back to the pharmacist to dispense the drugs.
… the way we make medicines available through the suppliers is that when quantifications are done and when tender process is done, the pharmacy department will issue out a local purchase order
(LPO) to the supplier to make the drugs available. within a certain time, maybe one week or two weeks as stated on the LPO.” (114/276)
- everything that the patient needs
- does a thorough verification
- collect the cash from the patient
- to dispense the drugs
- will issue out a local purchase order
- to make the drugs available
- maybe one week or two weeks
Customer orders
Time delay
Cash collected
Selling
Hospital medicine order
Shipment
Supply delay
Customer orders--‖→+Cash collected→+Selling→+Hospital medicine order--‖→_Shipment Delay in delivering supplies affect the level of medicines available to serve customers
PH02-04) “… we do what we call an emergency purchase … before tender process is ready. …to buy any out-of-stock drug. There’s another process called a standing order. A particular company is being given a standing order because we feel that the medicines that they are supplying as something that is all is available and it’s always needed in the hospital, because it’s always needed like infusion, it should be readily available in the hospital. As the medicines are about to finish… or at the reorder level, the supplier is informed to supply another batch of products and not necessarily waiting for the tender process.” (103/213) - emergency purchase
- to buy any out-of-stock drug
- it should be readily available
- not necessarily waiting
Procurement
Medicine inventory
Time delay
Time delay
Procurement--‖→+Medicine inventory Buying medicines hurriedly leads to further delay in the procurement cycle
PH02-05) “… pharmacist can see what the physician has prescribed for the patient immediately even before the patient appear in the pharmacy department, the pharmacist can go ahead to immediately prepare for the patient. In that way, waiting time will be reduced by the time the patient … appears in the pharmacy department. … an electronic system. … the only way … teams could improve working with patients is by computerising, making everything electronic from the physician … to the pharmacist to the accounting department.” (83172) - can see
- patient waiting time
- an electronic system
- by computerising
Visibility
Patient waiting time
Information integration
Information sharing
Visibility--‖→+Information integration→+Information sharing--‖→−Patient waiting time Sharing information is facilitated digitally with electronic systems, which is affected when there’s delay in implementation
PH02-06) “After quantification and medicine selection, we ask suppliers to quote for drugs before sending it to us. we improve the process by putting the list of medications in a flash drive and sharing with suppliers. I envisage a process in which there will be an interface with the organisation and the supplier. An interface that allows suppliers to key into the system from their end automatically.All wasted time (1–2 weeks) in the current system will be saved and improve working relationship with the suppliers. Lack of immediate payment for supplies delivered to the hospital … hinders working relationship with the suppliers.” (102/142) - before sending it to us
- all wasted time
- interface with the organisation and the supplier
- improve working relationship with the suppliers
- lack of immediate payment
Time delay
Time delay
Supplier integration
Hospital-supplier relationship (trust)
Available funds
Supplier integration--‖→+Hospital-supplier relationship (trust)→+Available funds Improving relationship with suppliers will increase trust and level of inventory making more funds available to procure medicines
PH02-07) “The only way that we can improve working relationship with all these critical stakeholders is by letting them realise what our situation is, what our needs are. … to improve services…” (31/96) - improve working relationship
- by letting them realise what our situation is
Hospital-supplier relationship (trust)
Visibility
Hospital-supplier relationship (trust)→+Visibility Increasing access to information will improve services
PH02-08) “we give information to patients verbally and some patients also call through our phones to get information to ask if we have a particular drug. … For suppliers, we collate list of medicines in a computer and share the list in a flash drive or on a printed paper. when critical stakeholders sometimes ask for information, especially for the donor/partner as we do in our chemotherapy access partnership. we send information through emails … and send via email. … usually, drugs availability and quantity of drugs needed.” (87/154) - to get information
- ask if we have a particular drug
- we send information through emails
Information sharing
Medicine inventory
Technology integration
Technology integration→+Information sharing→+Medicine inventory Sharing information improves levels of medicine inventory
PH02-09) “The supplier, for example … I need to tell these companies the stock levels of …for them to be able to know my reorder level so that they can actually supply me more. I share this information through email, WhatsApp messages. So I give all these logistics information to my supplier for a specific drug that …have to supply. Sometimes the suppliers give information (feedback) about available medicines and expected drugs that will be available in the country.” (78/166) - I need to tell
- reorder level
- supply me more
- through email, WhatsApp messages
- to supply
- expected drugs that will be available
Information sharing
Medicine order
Medicine inventory
Technology integration
Medicine in transit
Supply delay
Technology integration→+Information sharing→+Medicine order--‖→+Medicine inventory--‖→+Medicine in transit Sharing information with suppliers increase inventory levels and reduces supply delay
PH02-10) “When we digitalize and computerise every .. processes, it makes …information sharing easy for patients, suppliers and all critical stakeholders.” (20/106) - digitalize and computerise every … processes
- information sharing easy
Process integration
Information sharing
Process integration→+Information sharing Sharing information Improves with digitalisation
PH02-11) “… information sharing and communications should be across all the levels. …immediately everybody will know that this drug is at reorder level and escalate the information to the supplier. … a process where suppliers are connected to the organization and can see that a particular drug is at reorder level in a particular hospital and make resupply immediately….” (57/207) - information sharing and communications
- reorder level
- suppliers are connected to the organisation
- resupply immediately
Communication
Medicine order
Supplier integration
Shipment
Communication→+Medicine order→+ Supplier integration→+Shipment Information sharing and communication with suppliers improves delivery of medicines
PH02-12)It is only … that I have used but I know there are … technology out there. … connected to some units that are important for now due to lack of funds.” (32/35) - it is only x, that I have used
- lack of funds
Technology integration
Available funds
Technology integration→+Available funds Technology improves medicine inventory and increases funds
PH02-13) “The way we measure the performance of medicine availability in my organisation … and the supplier supplies seven out of 10. …the supplier has scored 70%. It is possible that the medicine is out of stock at the time of supply. … if we’re able to make the 200 items available, then we will say our performance is 100% but if we’re not able to, we count the number of available medicines and say maybe 75% performance. … we believe we will satisfy our customers, …when prepare our list of medicines and we see that at least … we make available 75% or 80% or 90% of the stock.” (109/247) - the supplier has scored 70%
- our performance is 100%
- satisfy our customers
Supplier performance
Internal performance
Fill rate
Supplier performance→+Internal performance→+Fill rate When patients get all their medicine, and the suppliers and hospital are performing optimally
PH02-14) “…we can improve performance by achieving patient satisfaction by providing the drug needs of the patients. … we can improve the … by making patient drugs available at all times … and then by reducing the patient waiting time when they come to access these drugs in the pharmacy.” (49/52) - patient satisfaction
- waiting time
- access these drugs
Fill rate
Patient waiting time
Medicine inventory
Fill rate--‖→−Patient waiting time→− Medicine inventory Available medicines increase fill rate and reduce wait times
PH02-15) “For the suppliers, we can improve performance by making sure that the suppliers get payment for the supply to the institution as soon as possible. Computerising and digitalising all processes makes it easier for you to inform the supplier immediately that a drug is at reorder level. …this information can be shared with the supplier to make medicines available. … we pay suppliers and … improve performance for all critical stakeholders.” (71/119) - as soon as possible
- inform the supplier
- medicines available
- we pay suppliers and … improve performance for all critical stakeholders
Time delay
Information sharing
Medicine inventory
Information sharing--‖→+Medicine inventory Network partners benefit from information sharing, and the patient gets medicines
PH02-16) “With government, I think the only way we can improve is to remove … bottlenecks. …The only way to remove bottlenecks is … government … to give funds, … directly to the hospitals for certain activities. The hospitals should strictly use the funds for the intended purpose and not divert funds …, funds allocated for drugs should not be used to fund building or other capital projects in the hospital. … government can strengthen institutions through … improving communication. …through digitalization. There should be transparency and accountability in use of funds at the hospital.” (/158) - remove … bottlenecks
- not divert funds
- improving communication
- transparency and accountability
Time delays
Hospital-government relationship (trust)
Communication
Visibility
Hospital-government relationship (trust)→+Communication→+Visibility Reduced trust and communication decreases transparency

Interview quotation analysis for pharmacist (PH03)

ParticipantNumber-Quote number) “… variables in Phrase(s)” (word count in variables/total word count in causal statement) Phrase(s) from participant quote denoting model variables Interpreted model variables Causal link between model variables (→=causal link, --‖→=causal link with delay, +/−=positive or negative polarity) Comments
PH03-01) “…pharmacy department provide data and forward to procurement unit to work on it to send order to the suppliers. pharmacy makes sales of drugs dispensed to patients and send sales to accounts departments/finance unit. the money is used to pay for suppliers after delivery of products by suppliers. we share information, when there’s need for any medicine, we work on it and send it to procurement unit to place order for the purchase of medicines. After management approval, the account s will pay for the drugs and we give the drug to patients.” (93/97) - to send order to the suppliers
- delivery of products
- share information
- pay for the drugs
Procurement
Delivery
Information sharing
Available funds
Procurement→+Delivery→+Information sharing→+Available funds Information sharing is only shared when there’s need for products which hamper planning on the part of the suppliers
PH03-02) “we share information with our patient’s. some patients make request through phone calls to find out about drugs that are not readily available e.g. xxx. …we display our drugs prices list publicly so that patients can know the prices of medicines. we interact with suppliers by keeping stock inventory of the patients. … purchase drugs directly from them or through contracts. for management, we periodically send them reports quarterly on all activities.” (72/82) - share information
- can know the prices
- purchase drugs directly
- periodically
Information sharing
Visibility
Procurement
Time delay
Information sharing →+Visibility--//→+Procurement Information sharing is not real time for all stakeholders
PH03-03) “for patients, we make sure there’s constant supply of drugs. …sustainability of medicines so that patients can have access to the drugs it’s important to reduce lead times during order to be able to meet customer needs. Make sure we prepare list of medicines that are about to be exhausted on time. .timely submission of data for procurement. there should be prompt payment of suppliers whenever they deliver medicine.” (69/79) - constant supply of drugs
- reduce lead times
- on time
- should be prompt
- customer needs
- prepare list of medicines that are about to be exhausted
- timely submission of data for procurement
Medicine inventory
Time delay
Customer order
Time to reconcile inventory
Time to average orders
Medicine inventory--//→+Customer order--//→+Time to reconcile inventory--//→+Time to average orders Delayed payment of suppliers affects the delivery of medicines to the hospital
PH03-04) “we have friends of hospital where management reach out to people that are ready to assist the less privilege because our patients cannot take care of themselves. … hospital reach out to people that can … help financially to the treatment of some of the less privilege patients that cannot afford their medication.” (53/78) - friends of hospital
- assist the less privilege
- cannot afford their medication
Hospital-stakeholders relationship (trust)
funding
Selling price
Hospital-stakeholders relationship (trust)--//→−funding→+Selling price External funding from stakeholders supports the provision of medicines to indigent patients
PH03-05) “We share information through reports. for patients, everything is done manually, we display our list of drugs pricing for patients to know how much, it costs to take their medicines. we also keep manual documentation.” (/35) - share information
- done manually
- to know how much, it costs
Information sharing
Time delay
Visibility
Information sharing--//→+Visibility Communication with patients is through physical display of price list
PH03-06) “…we make phone calls if there are problems or if there’s any urgent need for some drugs. …they come to the hospital for us to discuss what the problem is and how to resolve it. For CSOs and government, we document manually.” (42/58) - urgent
- there are problems
- and how to resolve it
Time delay
Stockout
Medicine inventory
Stockout--//→−Medicine inventory Even though the suppliers can reach the staff by phone, constraints are resolved at the hospital manually
PH03 −07) “…Use of digital technology, internet, computers is faster, more reliable. The whole process will be more efficient. it can be used to analyse or reproduce any information. … we don’t have digital tools. whatever request can be done electronically. it is the best.” (43/47) - is faster
- reproduce any information
- don’t have digital tools
Time delay
Information sharing
Visibility
Information sharing--//→+Visibility The staff long for the use of technology to ease difficulty in information management
PH03-08) “…makes the whole process faster and it also eliminates interruption or disruption. …meet the target you set for the patients, reliable, easy to use. …can be used to analyse data or reproduce data which is not possible manually especially if you’re looking for an information that takes a length of time to reproduce, you will not finish on time. by clicking a button or two, you get all information you need.” (71/73) - makes the whole process faster
- takes a length of time
- not finish on time
- target you set for the patients
- looking for an information
Time delay
Medicine inventory
Information sharing
Information sharing--//→+Medicine inventory The staff experience delay in replenishment of medicines which is attributed to manual inventory management techniques
PH03-09) “… We use computers for our stock balances on monthly basis, we keep record of issuance and the stock available at the end of every month. … some places provide computerized provider order systems. we need something like that in our systems. …also learned about radio-frequency identification technology (RFID). I don't have any idea about it.” (55/94) - our stock balances
- issuance and the stock available
- computerized provider order systems
- radio-frequency identification technology
- I don’t have any idea about it
Time to reconcile inventory
Time to average orders
Information sharing
Visibility
Capacity
Information sharing→+Visibility→+Capacity→−Time to reconcile inventory→+Time to average orders The staff are curious to the perceived gains from the use of digital technology for inventory management
PH03-10) “…we use maximum and minimum inventory management system. we use visual method to determine stock levels. we know the drugs that are available, and we know the drugs that are about to be exhausted. the method is not effective 100%, depending on a particular period …you may not have many cases or patients … we run into problems when prescribing patterns changes which affects us. when new drugs are introduced to the system, you start seeing prescriptions on it. then all of a sudden demand decreases for the new drug.” (90/125) - to determine stock levels
- about to be exhausted
- period
- all of a sudden
- many cases
- we run into problems when prescribing patterns changes
Medicine inventory
Stockout
Time delay
Customer orders
Supply delay
Medicine inventory--//→−Stockout→−Customer orders--//→−Supply delay Sudden changes in prescribing patterns and demand of customers lead to stockout of medicines and delays in supply
PH03-11) “…we keep adequate record so that when we need drugs we can order quickly. inventory accuracy improve the supplies and minimising wastages through pilferages, theft, damages and expiries increases availability of drugs. for patients, by keeping accurate records, …don’t allow drugs to finish before requesting for more keeps drugs readily available.” (/58) - adequate record
- order quickly
- inventory accuracy
- wastages through pilferages, theft, damages and expiries
- availability of drugs
- allow drugs to finish
Time to average orders
Medicine procurement
Time to correct inventory
Shrinking inventory
Medicine inventory
Stockout
Time to average orders→−Medicine procurement→+Medicine inventory→− Stockout→+Shrinking inventory→+Time to correct inventory Shrinking inventory plays a huge role in stockout of medicines by distorting the accuracy of medicine records and delaying replenishment
PH03-11) “I think supply chain knowledge is very good. …if we can encourage stakeholders to take it serious and key into the drug revolving fund. it will motivate people to work better.” (31/46) - supply chain knowledge
- motivate people to work better
Capacity
Medicine inventory
Capacity→+Medicine inventory Building capacity will make the staff happy and increase productivity

Interview quotation analysis for pharmacist (PH04)

ParticipantNumber-Quote number) “… variables in Phrase(s)” (word count in variables/total word count in causal statement) Phrase(s) from participant quote denoting model variables Interpreted model variables Causal link between model variables (→=causal link, --‖→=causal link with delay, +/−=positive or negative polarity) Comments
PH04-01) “There's an EDRF committee…Essential Drug Revolving Fund which is a team of professionals, which includes the medical doctor, includes the account, the pharmacy, and then the stores. we all work together to make sure that drugs are readily available from time-to-time meetings are held, to see how the EDRF functions and whether we're making progress or if there're areas that need to that we need to improve upon.” (70/91) - from time-to-time
- to make sure that drugs are readily available
- whether we’re making progress
Time delay
Medicine availability
Fill rate
Medicine inventory--‖→+Fill rate Even though the teams work together, there is delay in getting the required medicine for the patient
PH04-02)the collaboration can be better, if the pharmacist is given more to operate like, sometimes because before a major decision is taken, every part of this team … has to be carried along, or when … purchases are made, the approval has to come from somewhere, this can affect how often we get drug into the facility. I think that if the pharmacists are given more free room to operate and we get drug into the facility, …people can see the need that we don’t have to wait for bureaucracy for drugs to be brought in …” (96/101) - has to be carried along
- can affect how often
- and take decisions instantly
- have to wait
- given more free room to operate
- when … purchases are made
- we get drug into the facility
Time delay
Process integration
Procurement
Shipment
Process integration--‖→+Procurement--‖→+Shipment Bottlenecks are preventing the teams from seamless operations
PH04-03) “…And depending on the volume of patients we have in particular times like there are certain seasons, that we have a higher turnover than others. … we make sure that we always have drugs readily to meet the particular needs of patients … particular clinic days to make sure that those drugs they'll be needed in clinics…very available, … during the rainy season we see a spike in allergies. For this season we make sure that we do not run out of anti-allergic agents and we get the accounts department to make sure that when this drugs are supplied payments are made in good time. so that when we call upon the suppliers for more supplies or other supplies, they will not be reluctant to supply.” (126/208) - volume of patients
- we see a spike in allergies
- turnover
- needs of patients
- those drugs they’ll be needed in clinics…very available
- payments are made in good time
- reluctant to supply
Customer orders
Cash collected
Fill rate
Medicine inventory
Available funds
Supply delay
Customer orders→+Cash collected --‖→+Available funds--‖→+Supply delay→-Medicine inventory--‖→+Fill rate High number of orders depletes inventory which cannot be replenished when suppliers are not paid on time
PH04-04) “When a patient comes to the hospital, … …making drugs readily available for them is uppermost in our mind …so we make sure that drugs are always readily available for our patients, when they come to the pharmacy, which keeps them happy. A lot of times, when patients come and they're told that certain drugs are not available, they are not always happy. …we always have this consciousness, we are always working hard to make sure that drugs are available because that is what pleases our customers, our patients.” (89/196) - making drugs readily available
- which keeps them happy
- they are not always happy
- certain drugs are not available
- we are always working hard
- a lot of times
Fill rate
Customer satisfaction
Stockout
Productivity
Time delay
Productivity--‖→+Fill rate→−Stockout→− Customer satisfaction The staff work hard to fill prescriptions, but sometimes the drugs are not available
PH04-05)we can make it better by making sure that suppliers …paid even more promptly. Now, I know that we're trying but it can be better. … the processes involved in getting the payment done, everybody that's involved in that chain, should take up their responsibility and do it as quickly as possible.” (52/135) - making sure that suppliers …paid
- promptly
- as quickly as possible
- everybody that's involved in that chain
Available funds
Time delay
Process integration
Process integration--‖→+Available funds Alignment of processes will get suppliers paid at the right time
PH04-06) “we can improve our working relationships with them when we are very transparent about everything that we do for donor partners when drugs have been donated, we should be open to let them know how these drugs have been utilised. I think it will make them happy to see that the drug finally gets to the people that they were meant for and every other person involved …transparency is key.” (70/89) - improve our working relationships
- we should be open
- transparency is key
- make them happy
Hospital-partner relationship (trust)
Visibility
Partner satisfaction
Visibility→+Hospital-Partner relationship (trust)→+Partner satisfaction Transparency builds trust and ensures every partner achieves their goals
PH04-07) “for patients during …during dispensing and counseling. … we make sure that this information is made available to the patient. …we listen to the patient. … we get a lot of questions during fasting, whether eye drops can break their fast or interrupt the fasting. …we answer their question in a way to assure them that they can still carry on their religious obligations while they use their medication.” (69/188) - information is made available
- use their medication
Information sharing
Customer orders
Information sharing→+Customer orders Sharing information enables customers to get the best of their orders
PH04-08) “Everything we do is documented most of this information is …documented, …written maybe not in soft copies, some already on soft copies most are in hard copies. …whenever …need this information if they're requested for, they are always readily available.” (40/45) - maybe not in soft copies
- readily available
Technology integration
Visibility
Technology integration→+Visibility Technology makes information available
PH04-09) “…we review the prescriptions, the ones that are available, we let them know immediately, the ones that are not available…we tell them and give them specific periods within which it will be available, …we let them know that we do not have these drugs, …may have to get it elsewhere. …The best we can tell… is make sure you go to a reputable pharmacy to get your drug, that's what we do with the patients.” (75/157) - we review the prescriptions
- the ones that are available
- the ones that are not available
- specific periods within which it will be available
- may have to get it elsewhere
Customer orders
Medicine inventory
Stockout
Shipment
Customer satisfaction
Customer orders→−Medicine inventory→−Stockout→−Shipment→+Customer satisfaction Customers are unhappy when medicines are out of stock
PH04-10)technology…is the way to go. … it can make things to make things easier. But there are challenges that are associated with that…because the network was very poor… it will impact on going digital…(/132) - technology…is the way to go
- because the network was very poor
- impact on going digital
Technology integration
Visibility
Technology integration→+Visibility Technology use is hindered by network connectivity
PH04-11) “…what we have now is the electronic medical record, …yes, I like it very well. it helps a lot, it makes the work easier. And then it's has taken away a lot of writing.” (34/99) - electronic medical record
- yes, I like it very well
Technology integration
Staff satisfaction
Technology integration→+Staff satisfaction Using technology reduces manual effort of dealing with prescriptions
PH04-12) “…will measure performance by the number of out of stock. As a dispensing pharmacist, so I'm always in touch with the patient. And my goal is to make sure that the patient that whatever number of drugs are on the patient's prescription, the patient’s gets all of them. … I measure performance by the out of stock or the availability of drugs. The more drugs are available… the higher I will rate our performance.” - number of out of stock
- always in touch
- number of drugs
- the patient's gets all of them
- availability of drugs
- rate our performance
Stockout
Information sharing
Medicine inventory
Fill rate
Fill rate
Performance
Information sharing→+Medicine inventory→+Fill rate→−Stockout→−Performance Performance is measured by availability of medicine and out of stock
PH04-13) “…everybody doing their own bit at the right time as quickly as possible. If everybody does that, drugs will be more readily available to the patient. Sometimes when drugs are out of stock there's not much that the pharmacist can do after he has done their roles and informed the necessary authorities that drugs are out of stock the list has to be taken to someone who will approve if the approval doesn't come on time, there’s nothing you can do about that, when the approval comes and the order needs to be written out and given to the suppliers immediately. So whoever needs to do that should do it promptly. ..when the order gets to the supplier, the supplier should do it promptly too, when everybody has done their parts as soon as possible, then drugs will be readily available to the patient.” (144/147) - as quickly as possible
- come on time
- should do it promptly
- drugs will be more readily available
- drugs are out of stock
- there’s not much that the pharmacist can do
- should do it promptly too
Time delay
Medicine inventory
Stockout
Productivity
Shipment
Stockout →−Medicine inventory--‖→+ Productivity--‖→+Shipment Staff productivity decreases with more stockout
PH04-14) “By letting the suppliers know that whatever order is given to them needs to be acted upon immediately. Because those drugs need to get to the end users as soon as possible. …whatever order they get should be acted on within a timeframe to make it available for the patient.” (50/54) - acted upon immediately
- as soon as possible
- whatever order
- to make it available
Time delay
Customer orders
Medicine inventory
Customer orders--‖→+Medicine inventory The is some frustration on the part of the pharmacist with the delay in sending orders to the suppliers and supply delay to the hospital
PH04-15) …government can help by engaging more hands on ground to do the work. then … making funds available. lack of manpower is our main challenge for now. human resource is a challenge. - engaging more hands
- lack of manpower
- making funds available
Staff attrition
Funding
Funding→−Staff attrition The hospital does not have autonomy to employ staff. Staff attribution and lack of funds reduces productivity

Appendix 1. Global health supply chain maturity model v8.0

Appendix 2. Pilot study interview protocol

Stage 1 – Pilot key informant interview questions

  1. How does the organisation carry out demand forecasting of medicines?

  2. How does the organisation carry out procurement of medicines?

  3. How does the organisation carry out warehousing of medicines?

  4. How does the organisation carry out inventory management of medicines?

  5. How does the organisation carry out delivery of medicines to patients?

  6. Which departments/units are responsible for making medicines available to end-users?

  7. Has the organisation experienced stock out of medicines?

  8. How do you manage stockout of essential medicines?

Stage 2 – Revised in-depth interview questions derived from pilot study to be used for the main study

  1. How do inter-departmental teams (pharmacy, accounts, procurement, etc.) work together in the organisation to make medicines available?

  2. What should be done to improve how teams work together?

  3. Can you describe how your inter-departmental teams work with your patients and suppliers to provide medicines?

  4. Can you describe how the teams work with suppliers to make medicines available?

  5. In your own perspective, how can inter-departmental teams improve working relationship with patients?

  6. In your own opinion, how can inter-departmental teams improve working relationship with suppliers?

  7. In your own opinion, how can inter-departmental teams improve working relationship with critical stakeholders (donor/partner, government/regulators/civil society organisations (CSOs), etc.)

  8. Can you describe how you share information about medicines and other health supplies with patients, suppliers and other critical stakeholders (donor/partner, government/regulators/CSOs)?

  9. Describe how you share logistic information (stock level, available medicines, expiries, expected medicines, etc.)?

  10. In your opinion, what should be done to improve information-sharing with patients, suppliers and other critical stakeholders (donor/partner, government/regulators/CSOs)?

  11. In your opinion, what do you think about the use of digital technology for making medicines available?

  12. What type of digital technology do you have experience with in making medicine available?

  13. In your opinion, explain how would you measure the performance of medicine availability in your organisation?

  14. In your opinion, describe how the inter-departmental teams can improve performance by working with patients, suppliers and other critical stakeholders (donor/partner, government/regulators/CSOs)?

Appendix 3

Table A1

Appendix 4

Table A2

Appendix 5

Table A3

Appendix 6

Table A4

Appendix 7

Table A5

References

Adair, C.E., Simpson, E., Casebeer, A.L., Birdsell, J.M., Hayden, K.A. and Lewis, S. (2006), “Performance measurement in healthcare: part II–state of the science findings by stage of the performance measurement process”, Healthcare policy Politiques de Sante, Vol. 2 No. 1, pp. 56-78.

Aigbavboa, S. and Mbohwa, C. (2020), “The headache of medicines’ supply in Nigeria: an exploratory study on the most critical challenges of pharmaceutical outbound value chains”, Procedia Manufacturing, Vol. 43, pp. 336-343.

Aljadeed, R., AlRuthia, Y., Balkhi, B., Sales, I., Alwhaibi, M., Almohammed, O., Alotaibi, A.J., Alrumaih, A.M. and Asiri, Y. (2021), “The Impact of COVID-19 on essential medicines and personal protective equipment availability and prices in Saudi Arabia”, Healthcare, Vol. 9 No. 3, p. 290.

Aristovnisc, A. (2015), “Regional Performance measurement of healthcare systems in the EU: a non-parametric approach”, Lex localis-Journal of Local Self-Government, Vol. 13 No. 3, pp. 579-593.

Association for Supply Chain Management (2020), “ASCM global health supply chain”, available at: https://ascm-ghsc.org/maturity-model/ (accessed 5 May 2021).

Avelar-Sosa, L., García-Alcaraz, J.L. and Maldonado-Macías, A.A. (2019), 'Evaluation of Supply Chain Performance', Management and Industrial Engineering, Springer International Publishing, Cham.

Bam, L., McLaren, Z.M., Coetzee, E. and von Leipzig, K.H. (2017), “Reducing stock-outs of essential tuberculosis medicines: a system dynamics modelling approach to supply chain management”, Health Policy and Planning, Vol. 32 No. 8, pp. 1127-1134.

Bate, R., Hess, K. and Mooney, L. (2010), “Antimalarial medicine diversion: stock-outs and other public health problems”, Research and Reports in Tropical Medicine, Vol. 1, pp. 19-24.

Bigdeli, M., Jacobs, B., Tomson, G., Laing, R., Ghaffar, A., Dujardin, B. and Van Damme, W. (2012), “Access to medicines from a health system perspective”, Health Policy and Planning, Vol. 28 No. 7, pp. 692-704.

Boateng, R., Petricca, K., Tang, B., Parikh, S., SinQuee-Brown, C., Alexis, C., Browne-Farmer, C., Reece-Mills, M., Salmon, S.M., Bodkyn, C., Gupta, S., Maguire, B. and Denburg, A.E. (2021), “Determinants of access to childhood cancer medicines: a comparative, mixed-methods analysis of four Caribbean countries”, The Lancet Global Health, Vol. 9 No. 9, pp. E1314-E1324.

Bouvy, F. and Rotaru, M. (2021), “Medicine Shortages: from assumption to evidence to Action - A proposal for using the FMD data repositories for shortages monitoring”, Frontiers in Medicine, Vol. 8, p. 579822.

Byrnes, J. (2004), “Fixing the healthcare supply chain”, Harvard Business School: Working Knowledge, available at: https://jlbyrnes.com/uploads/Main/Fixing%20the%20Healthcare%20Supply%20Chain%20HBSWK%205-04.pdf (accessed 15 March 2021).

Chebolu-Subramanian, V. and Sundarraj, R.P. (2021), “Essential medicine shortages, procurement process and supplier response: a normative study across Indian states”, Social Science & Medicine, Vol. 278, p. 113926.

Dixit, A., Routroy, S. and Dubey, S.K. (2019), “Analysis of government-supported health-care supply chain enablers: a case study”, Journal of Global Operations and Strategic Sourcing, Vol. 13 No. 1, pp. 1-16.

Dixit, A., Routroy, S. and Dubey, S.K. (2020), “Measuring performance of government-supported drug warehouses using DEA to improve quality of drug distribution”, Journal of Advances in Management Research, Vol. 17 No. 4, pp. 567-581.

Eisenhardt, K.M. (1989), “Building theories from case study research”, The Academy of Management Review, Vol. 14 No. 4, pp. 532-550.

Federal Ministry of Health (2020), “National Health products supply chain strategy and implementation plan 2021-2025”, Abuja, Nigeria, available at: www.msh.org/resources/the-national-health-product-supply-chain-strategic-development-and-implementation-plan?field_resource_type%5B0%5D=Publication&page=14 (accessed 4 May 2021).

Federal Ministry of Heath (2016), “National Health Facility Survey”, Abuja, Nigeria, available at: http://somlpforr.org.ng/wp-content/uploads/2017/05/NHFS-Final-Report-for-Printing_VI.pdf (accessed 4 May 2021).

Feyisa, D., Jemal, A., Aferu, T., Ejeta, F. and Endeshaw, A. (2021), “Evaluation of cold chain management performance for Temperature-Sensitive pharmaceuticals at public health facilities supplied by the Jimma pharmaceuticals supply agency hub, southwest Ethiopia: pharmaceuticals logistic management perspective using a multicentered, mixed-method approach”, Advances in Pharmacological and Pharmaceutical Sciences, Vol. 2021, pp. 1-13, doi: 10.1155/2021/5167858, (accessed 4 January 2022).

Fitzpatrick, A. (2022), “The impact of public health sector stockouts on private sector prices and access to healthcare: evidence from the anti-malarial drug market”, Journal of Health Economics, Vol. 81, p. 102544.

Fritz, J., Herrick, T. and Gilbert, S.S. (2021), “Estimation of health impact from digitalizing last-mile logistics management information systems (LMIS) in Ethiopia, Tanzania, and Mozambique: a lives saved tool (LiST) model analysis”, Plos One, Vol. 16 No. 10.

Fu, H., Li, L., Li, M., Yang, C. and Hsiao, W. (2017), “An evaluation of systemic reforms of public hospitals: the sanming model in China”, Health Policy and Planning, Vol. 32 No. 8, pp. 1135-1145.

Gallien, J., Rashkova, I., Atun, R. and Yadav, P. (2017), “National drug stockout risks and the global fund disbursement process for procurement”, Production and Operations Management, Vol. 26 No. 6, pp. 997-1014.

Geng, F., Suharlim, C., Brenzel, L., Resch, S.C. and Menzies, N.A. (2017), “The cost structure of routine infant immunization services: a systematic analysis of six countries”, Health Policy and Planning, Vol. 32 No. 8, pp. 1174-1184.

Gils, T., Bossard, C., Verdonck, K., Owiti, P., Casteels, I., Mashako, M., Van Cutsem, G. and Ellman, T. (2018), “Stockouts of HIV commodities in public health facilities in Kinshasa: barriers to end HIV”, Plos One, Vol. 13 No. 1, p. e0191294.

Gong, S., Cai, H., Ding, Y., Li, W., Juan, X., Peng, J. and Jin, S. (2018), “The availability, price and affordability of antidiabetic drugs in Hubei province, China”, Health Policy and Planning, Vol. 33 No. 8, pp. 937-947.

Gurmu, T.G. and Ibrahim, A.J. (2017), “Inventory management performance of key essential medicines in health facilities of East Shewa Zone, Oromia regional state, Ethiopia”, Cukurova Medical Journal (Çukurova Üniversitesi Tıp Fakültesi Dergisi), Vol. 42 No. 2, pp. 277-291.

Hafez, R. (2018), “Nigeria health financing system assessment”, Health, Nutrition and Population Discussion Paper, World Bank, Washington, DC. © World Bank, License: CC BY 3.0 IGO, available at: https://openknowledge.worldbank.org/handle/10986/30174 (accessed 9 April 2021).

Hardon, A. (1990), “Ten best readings in… the Bamako initiative”, Health Policy and Planning, Vol. 5 No. 2, pp. 186-189.

Hausman, W.H. (2004), “Supply chain performance metrics”, in The Practice of Supply Chain Management: Where Theory and Application Converge, International Series in Operations Research & Management Science, Springer, Boston, MA, Vol. 62, pp. 61-73.

Hwang, B., Shroufi, A., Gils, T., Steele, S.J., Grimsrud, A., Boulle, A., Yawa, A., Stevenson, S., Jankelowitz, L. and Versteeg-Mojanaga, M. (2019), “Stock-outs of antiretroviral and tuberculosis medicines in South Africa: a national cross-sectional survey”, Plos One, Vol. 14 No. 3, p. e0212405.

Ivankova, N. and Wingo, N. (2018), “Applying mixed methods in action research: methodological potentials and advantages”, American Behavioral Scientist, Vol. 62 No. 7, pp. 978-997.

Kasparis, E., Huang, Y.F., Lin, W. and Vasilakis, C. (2021), “Improving timeliness in the neglected tropical diseases preventive chemotherapy donation supply chain through information sharing: a retrospective empirical analysis”, PLOS Neglected Tropical Diseases, Vol. 15 No. 11, p. e0009523.

Kebede, O. and Tilahun, G. (2021), “Inventory management performance for family planning, maternal and child health medicines in public health facilities of west wollega zone, Ethiopia”, Journal of Pharmaceutical Policy and Practice, Vol. 14 No. 1, pp. 1-11.

Kefale, A.T. and Shebo, H.H. (2019), “Availability of essential medicines and pharmaceutical inventory management practice at health centers of Adama town, Ethiopia”, BMC Health Services Research, Vol. 19 No. 1, pp. 1-7.

Kim, H. and Andersen, D.F. (2012), “Building confidence in causal maps generated from purposive text data: mapping transcripts of the federal reserve”, System Dynamics Review, Vol. 28 No. 4, pp. 311-328.

Kiplagat, A., Musto, R., Mwizamholya, D. and Morona, D. (2014), “Factors influencing the implementation of integrated management of childhood illness (IMCI) by healthcare workers at public health centers & dispensaries in Mwanza, Tanzania”, BMC Public Health, Vol. 14 No. 1, pp. 1-10.

Koomen, L., Burger, R. and Van Doorslaer, E. (2019), “Effects and determinants of tuberculosis drug stockouts in South Africa”, BMC Health Services Research, Vol. 19 No. 1, pp. 1-10.

Kopainsky, B. and Luna‐Reyes, L.F. (2008), “Closing the loop: promoting synergies with other theory building approaches to improve system dynamics practice”, Systems Research and Behavioral Science, Vol. 25 No. 4, pp. 471-486.

Kumar, D. and Kumar, D. (2018), “Managing the essential medicines stock at rural healthcare systems in India”, International Journal of Health Care Quality Assurance, Vol. 31 No. 8, pp. 950-965.

Kuwawenaruwa, A., Wyss, K., Wiedenmayer, K., Metta, E. and Tediosi, F. (2020), “The effects of medicines availability and stock-outs on household’s utilization of healthcare services in Dodoma region, Tanzania”, Health Policy and Planning, Vol. 35 No. 3, pp. 323-333.

Kuwawenaruwa, A., Tediosi, F., Metta, E., Obrist, B., Wiedenmayer, K., Msamba, V.S. and Wyss, K. (2021), “Acceptability of a prime vendor system in public healthcare facilities in Tanzania”, International Journal of Health Policy and Management, Vol. 10 No. 10, pp. 625-637.

Lee, E.H., Olsen, C.H., Koehlmoos, T., Masuoka, P., Stewart, A., Bennett, J.W. and Mancuso, J. (2017), “A cross-sectional study of malaria endemicity and health system readiness to deliver services in Kenya, Namibia and Senegal”, Health Policy and Planning, Vol. 32 No. 3, p. iii75-iii87.

Leung, N.-H.Z., Chen, A., Yadav, P. and Gallien, J. (2016), “The impact of inventory management on stock-outs of essential drugs in Sub-Saharan Africa: secondary analysis of a field experiment in Zambia”, Plos One, Vol. 11 No. 5, p. e0156026.

Lussiana, C. (2015), “Towards subsidized malaria rapid diagnostic tests. Lessons learned from programmes to subsidise artemisinin-based combination therapies in the private sector: a review”, Health Policy and Planning, Vol. 31 No. 7, pp. 928-939.

Magadzire, B.P., Marchal, B., Mathys, T., Laing, R.O. and Ward, K. (2017), “Analyzing implementation dynamics using theory-driven evaluation principles: lessons learnt from a South African centralized chronic dispensing model”, BMC Health Services Research, Vol. 17 No. S2, pp. 15-23.

Martei, Y.M., Chiyapo, S., Grover, S., Ramogola-Masire, D., Dryden-Peterson, S., Shulman, L.N. and Tapela, N. (2018), “Availability of WHO essential medicines for cancer treatment in Botswana”, Journal of Global Oncology, Vol. 4 No. 4, pp. 1-8.

Mikkelsen-Lopez, I., Shango, W., Barrington, J., Ziegler, R., Smith, T. and deSavigny, D. (2014), “The challenge to avoid anti-malarial medicine stock-outs in an era of funding partners: the case of Tanzania”, Malaria Journal, Vol. 13 No. 1, pp. 1-9.

Miles, M.B. and Huberman, A.M. (1994), Qualitative Data Analysis: An Expanded Sourcebook, 2nd ed., Sage, Thousand Oaks, CA.

Mwencha, M., Rosen, J.E., Spisak, C., Watson, N., Kisoka, N. and Mberesero, H. (2017), “Upgrading supply chain management systems to improve availability of medicines in Tanzania: evaluation of performance and cost effects”, Global Health: Science and Practice, Vol. 5 No. 3, pp. 399-411.

Nakambale, H.N. and Bangalee, V. (2022), “Global Outsourcing and local tendering supply chain systems in the public healthcare sector: a cost comparison analysis, Namibia”, Value in Health Regional Issues, Vol. 30, pp. 1-8.

Nditunze, L., Makuza, S., Amoroso, C.L., Odhiambo, J., Ntakirutimana, E., Cedro, L., Mushinzimana, J. and Hedt-Gauthier, B. (2015), “Assessment of essential medicines stock-outs at health centers in Burera district in Northern Rwanda”, Rwanda Journal, Vol. 2 No. 1, pp. 85-88.

Nuti, S., Noto, G., Vola, F. and Vainieri, M. (2018), “Let’s play the patients music”, Management Decision, Vol. 56 No. 10, pp. 2252-2272.

Ogunsola, M.T., Yusuf, A.Nand. and Fagbamila, S.O. (2021), “Assessment of knowledge and attitude of stakeholders towards sustainability of drug revolving scheme of primary health care in Irepodun local government, Kwara state, Nigeria”, Global Journal of Health Related Researches, Vol. 1 No. 1, pp. 1-10.

Okoye, B.I., Ndugba, C., Okonkwo, I., Udemba, C., Okafor, E. and Orji, U. (2022), “Evaluation of essential medicines management in public health facilities in Ekiti state Nigeria”, International Journal of Science Academic Research, Vol. 3 No. 9, pp. 4359-4365.

Olutuase, V.O., Iwu-Jaja, C.J., Akuoko, C.P., Adewuyi, E.O. and Khanal, V. (2022), “Medicines and vaccines supply chains challenges in Nigeria: a scoping review”, BMC Public Health, Vol. 22 No. 1, pp. 1-15.

Ooms, G.I., van Oirschot, J., Okemo, D., Reed, T., van den Ham, H.A. and Mantel-Teeuwisse, A.K. (2022), “Healthcare workers' perspectives on access to sexual and reproductive health services in the public, private and private not-for-profit sectors: insights from Kenya, Tanzania, Uganda and Zambia”, BMC Health Services Research, Vol. 22 No. 1, pp. 1-11.

Orubu, E.S.F., Robert, F.O., Samuel, M. and Megbule, D. (2019), “Access to essential cardiovascular medicines for children: a pilot study of availability, price and affordability in Nigeria”, Health Policy and Planning, Vol. 34 No. 3, pp. iii20-iii26.

Paina, L. and Peters, D.H. (2011), “Understanding pathways for scaling up health services through the lens of complex adaptive systems”, Health Policy and Planning, Vol. 27 No. 5, pp. 365-373.

Polit, D.F. and Beck, C.T. (2006), “The content validity index: are you sure you know what's being reported? Critique and recommendations”, Research in Nursing & Health, Vol. 29 No. 5, pp. 489-497.

Russo, G. and McPake, B. (2009), “Medicine prices in urban Mozambique: a public health and economic study of pharmaceutical markets and price determinants in low-income settings”, Health Policy and Planning, Vol. 25 No. 1, pp. 70-84.

Schon, A.M. and Streit-Juotsa, L. (2015), “Raspberry Pi and sensor networking for African health supply chains”, Operations and Supply Chain Management: An International Journal, Vol. 8 No. 3, pp. 137-145.

Shafiq, Y., Gibson, J.S., Kim, H., Ambulo, C.P., Ware, T.H. and Georgakopoulos, S.V. (2019), “A Reusable Battery-Free RFID temperature sensor”, IEEE Transactions on Antennas and Propagation, Vol. 67 No. 10, pp. 6612-6626.

Sieleunou, I., De Allegri, M., Roland Enok Bonong, P., Ouédraogo, S. and Ridde, V. (2020), “Does performance‐based financing curb stock‐outs of essential medicines? Results from a randomised controlled trial in Cameroon”, Tropical Medicine & International Health, Vol. 25 No. 8, pp. 944-961.

Sterman, J. (2000), Business dynamics, McGraw-Hill, New York.

Tomoaia-Cotisel, A. (2018), The Journey toward the Patient-Centered Medical Home: A Grounded, Dynamic Theory of Primary Care Transformation, London School of Hygiene & Tropical Medicine, available at: https://researchonline.lshtm.ac.uk/id/eprint/4647856/ (accessed 11 January 2022).

Tomoaia-Cotisel, A., Allen, S.D., Kim, H., Andersen, D. and Chalabi, Z. (2022), “Rigorously interpreted quotation analysis for evaluating causal loop diagrams in late-stage conceptualization”, System Dynamics Review, Vol. 38 No. 1, pp. 41-80.

Tran, D.N., Manji, I., Njuguna, B., Kamano, J., Laktabai, J., Tonui, E., Vedanthan, R. and Pastakia, S. (2020), “Solving the problem of access to cardiovascular medicines: revolving fund pharmacy models in rural Western Kenya”, BMJ Global Health, Vol. 5 No. 11, p. e003116.

Tran, D.N., Were, P.M., Kangogo, K., Amisi, J.A., Manji, I., Pastakia, S.D. and Vedanthan, R. (2021), “Supply-chain strategies for essential medicines in rural Western Kenya during COVID-19”, Bulletin of the World Health Organization, Vol. 99 No. 5, pp. 388-392.

Turner, B.L., Kim, H. and Andersen, D.F. (2013), “Improving coding procedures for purposive text data: researchable questions for qualitative system dynamics modeling”, System Dynamics Review, Vol. 29 No. 4, pp. 253-263.

Uzochukwu, B.S.C. and Onwujekwe, O.E. (2004), “Socio-economic differences and health seeking behaviour for the diagnosis and treatment of malaria: a case study of four local government areas operating the Bamako initiative programme in South-east Nigeria”, International Journal for Equity in Health, Vol. 3 No. 1, p. 6.

Uzochukwu, B. and Onwujekwe, O. (2005), “Healthcare reform involving the introduction of user fees and drug revolving funds: influence on health workers’ behavior in southeast Nigeria”, Health Policy, Vol. 75 No. 1, pp. 1-8.

Vledder, M., Friedman, J., Sjoblom, M., Brown, T. and Yadav, P. (2019), “Improving Supply chain for essential drugs in Low-Income countries: results from a large scale randomized experiment in Zambia”, Health Systems & Reform, Vol. 5 No. 2, pp. 158-177.

Wang, D., Kerh, R., Jun, S., Lee, S., Mayega, R.W., Ssentongo, J., Oumer, A., Haque, M., Brunese, P. and Yih, Y. (2022), “Demand sensing and digital tracking for maternal child health (MCH) in Uganda: a pilot study for ‘E+TRA health”, BMC Medical Informatics and Decision Making, Vol. 22 No. 1, p. 239.

WHO (2019), “World health statistics overview 2019: monitoring health for the SDGs, sustainable development goals”, available at: https://apps.who.int/iris/bitstream/handle/10665/311696/WHO-DAD-2019.1-eng.pdf (accessed: 8th February 2022).

Yin, R.K. (2015), Case study Research: Design and Methods, Sage, Thousand Oaks, CA.

Zakumumpa, H., Kiweewa, F.M., Khuluza, F. and Kitutu, F.E. (2019), “The number of clients is increasing but the supplies are reducing”: provider strategies for responding to chronic antiretroviral (ARV) medicines stock-outs in resource-limited settings: a qualitative study from Uganda”, BMC Health Services Research, Vol. 19 No. 1, pp. 1-11.

Zuma, S.M. (2022), “Assessment of medicine stock-outs challenges in public health services”, Africa’s Public Service Delivery & Performance Review, Vol. 10 No. 1, p. 6.

Acknowledgements

The authors would like to thank the management and staff of the National Ear Care Centre, Kaduna State Health Supplies Management Agency, National Eye Centre, Ahmadu Bello University Teaching Hospital, and Federal Neuropsychiatric Hospital who participated in this study.

Corresponding author

Ramatu Abdulkadir can be contacted at: R.Abdulkadir@2020.ljmu.ac.uk

Related articles