HIV drug and supply stock-outs in Latin America

Promising Practices in Capacity Development for Health Supply Chains in Resource-Constrained Countries

Performance gaps in health supply chains in low- and middle-income countries contribute significantly to inefficiencies and underperformance of their health systems. Some significant factors hindering the performance of supply chains in low and middle-income countries include low human resource capacity and capability, weak structures for monitoring supply chain performance, weak in-service and pre-service training programs, chronic underfunding, lack of transparency and an overdependence on obsolete methods, like manual data gathering, record-keeping, and analyses. Although proven health supply chain strengthening techniques exist, the level of adoption of these practices has varied across countries, resulting in multiple capacity gaps and underperforming supply chains. The resulting challenges require complementary and needs-based practices to address the gaps. While it is recognized that there is no "one-size-fits-all" solution to these issues, we demonstrate that real benefits can be achieved by using "promising practices"-that is, using targeted, innovative interventions. To demonstrate the potential of using promising practices in the health supply chain in Africa and the breadth of possible solutions available, we present 3 case studies from different contexts and with different objectives.

Challenges and the Way Forward in Demand-Forecasting Practices within the Ethiopian Public Pharmaceutical Supply Chain

This study delves into the challenges of pharmaceutical forecasting within the Ethiopian public pharmaceutical supply chain, which is vital for ensuring medicine availability and optimizing healthcare delivery. t It aims to identify and analyze key hindrances to pharmaceutical forecasting in Ethiopia, employing qualitative analysis through semi-structured interviews with stakeholders. Thematic analysis using NVIVO 14 software reveals challenges including finance-related constraints, workforce shortages, and data quality issues. Financial challenges arise from funding uncertainties, causing delayed procurement and stockouts. Workforce shortages hinder accurate forecasting, while data quality issues result from incomplete and untimely reporting. Recommendations include prioritizing healthcare financing, investing in workforce development, and improving data quality through technological advancements and enhanced coordination among stakeholders.

The impact of public health sector stockouts on private sector prices and access to healthcare: Evidence from the anti-malarial drug market

In developing countries, public sector health facilities frequently run out of essential medicines ("stockouts"). I test whether anti-malarial drug stockouts affect prices, quality, and overall access to anti-malarial drugs in private sector outlets in Uganda. I combine data from four sources: 1) standardized patient drug purchases; 2) vendor surveys; 3) real customer surveys; 4) public sector supply delivery dates. Using a difference-in-differences approach, I find that stockouts increase private-sector antimalarial drug prices by $0.68, or 35 percent. I find few changes in quality. Real customer characteristics change, suggesting that stockouts lead less educated and poorer customers to drop out of the market. Analysis using the 2016 Demographic and Health Survey additionally shows stockouts reduce treatment at public sector facilities and reduce the likelihood that children receive medicine. My results suggest that stockouts increase prices in the private sector and lead to less equitable health outcomes.

Antiretroviral therapy use in selected countries in Latin America during 2013-2017: results from the Latin American Workshop in HIV Study Group

OBJECTIVE

To document antiretroviral use in Latin America during the last decade.

METHODS

We collected indicators from 79 HIV health care centres in 14 Latin American Spanish-speaking countries for 2013-2017. Indicators were analysed by age, sex and other characteristics and weighted by the estimated people under care (PUC) population in each country.

RESULTS

We gathered information on 116 299 PUC. One-third belonged to centres reporting a shortage of at least one antiretroviral therapy (ART) drug for >30 days during 2017. At end 2017, 95.1% of PUC were receiving ART. During 2013-2017, 45 329 people living with HIV were admitted to 39 centres. ART initiated during the first year after admission increased from 76.7% in 2013 to 83.8% in 2017. In 35 centres across the study period, 71.7% of PUC started ART with tenofovir disoproxil fumarate and lamivudine, and zidovudine use decreased. The third most common ART drug, EFV, reached 64.8%. Raltegravir and other alternatives increased annually to almost 10% of total use in 2017.

CONCLUSIONS

Initial ART in Latin America is not based on the most recent scientific evidence and recommendations; use of drugs with higher efficacy and safety profiles and guarantee of ART availability continues to be a public health challenge.

Estimating optimal dynamic treatment strategies under resource constraints using dynamic marginal structural models

Methods for estimating optimal treatment strategies typically assume unlimited access to resources. However, when a health system has resource constraints, such as limited funds, access to medication, or monitoring capabilities, medical decisions must account for competition between individuals in resource usage. The problem of incorporating resource constraints into optimal treatment strategies has been solved for point exposures (1), that is, treatment strategies entailing a decision at just one time point. However, attempts to directly generalize the point exposure solution to dynamic time-varying treatment strategies run into complications. We sidestep these complications by targeting the optimal strategy within a clinically defined subclass. Our approach is to employ dynamic marginal structural models to estimate (counterfactual) resource usage under the class of candidate treatment strategies and solve a constrained optimization problem to choose the optimal strategy for which expected resource usage is within acceptable limits. We apply this method to determine the optimal dynamic monitoring strategy for people living with HIV when resource limits on monitoring exist using observational data from the HIV-CAUSAL Collaboration.

Tracking health commodity inventory and notifying stock levels via mobile devices: a mixed methods systematic review

BACKGROUND

Health systems need timely and reliable access to essential medicines and health commodities, but problems with access are common in many settings. Mobile technologies offer potential low-cost solutions to the challenge of drug distribution and commodity availability in primary healthcare settings. However, the evidence on the use of mobile devices to address commodity shortages is sparse, and offers no clear way forward.

OBJECTIVES

Primary objective To assess the effects of strategies for notifying stock levels and digital tracking of healthcare-related commodities and inventory via mobile devices across the primary healthcare system Secondary objectives To describe what mobile device strategies are currently being used to improve reporting and digital tracking of health commodities To identify factors influencing the implementation of mobile device interventions targeted at reducing stockouts of health commodities SEARCH METHODS: We searched CENTRAL, MEDLINE Ovid, Embase Ovid, Global Index Medicus WHO, POPLINE K4Health, and two trials registries in August 2019. We also searched Epistemonikos for related systematic reviews and potentially eligible primary studies. We conducted a grey literature search using mHealthevidence.org, and issued a call for papers through popular digital health communities of practice. Finally, we conducted citation searches of included studies. We searched for studies published after 2000, in any language.

SELECTION CRITERIA

For the primary objective, we included individual and cluster-randomised trials, controlled before-after studies, and interrupted time series studies. For the secondary objectives, we included any study design, which could be quantitative, qualitative, or descriptive, that aimed to describe current strategies for commodity tracking or stock notification via mobile devices; or aimed to explore factors that influenced the implementation of these strategies, including studies of acceptability or feasibility. We included studies of all cadres of healthcare providers, including lay health workers, and others involved in the distribution of health commodities (administrative staff, managerial and supervisory staff, dispensary staff); and all other individuals involved in stock notification, who may be based in a facility or a community setting, and involved with the delivery of primary healthcare services. We included interventions aimed at improving the availability of health commodities using mobile devices in primary healthcare settings. For the primary objective, we included studies that compared health commodity tracking or stock notification via mobile devices with standard practice. For the secondary objectives, we included studies of health commodity tracking and stock notification via mobile device, if we could extract data relevant to our secondary objectives.

DATA COLLECTION AND ANALYSIS

For the primary objective, two authors independently screened all records, extracted data from the included studies, and assessed the risk of bias. For the analyses of the primary objectives, we reported means and proportions where appropriate. We used the GRADE approach to assess the certainty of the evidence, and prepared a 'Summary of findings' table. For the secondary objective, two authors independently screened all records, extracted data from the included studies, and applied a thematic synthesis approach to synthesise the data. We assessed methodological limitation using the Ways of Evaluating Important and Relevant Data (WEIRD) tool. We used the GRADE-CERQual approach to assess our confidence in the evidence, and prepared a 'Summary of qualitative findings' table.

MAIN RESULTS

Primary objective For the primary objective, we included one controlled before-after study conducted in Malawi. We are uncertain of the effect of cStock plus enhanced management, or cStock plus effective product transport on the availability of commodities, quality and timeliness of stock management, and satisfaction and acceptability, because we assessed the evidence as very low-certainty. The study did not report on resource use or unintended consequences. Secondary objective For the secondary objectives, we included 16 studies, using a range of study designs, which described a total of eleven interventions. All studies were conducted in African (Tanzania, Kenya, Malawi, Ghana, Ethiopia, Cameroon, Zambia, Liberia, Uganda, South Africa, and Rwanda) and Asian (Pakistan and India) countries. Most of the interventions aimed to make data about stock levels and potential stockouts visible to managers, who could then take corrective action to address them. We identified several factors that may influence the implementation of stock notification and tracking via mobile device. These include challenges tied to infrastructural issues, such as poor access to electricity or internet, and broader health systems issues, such as drug shortages at the national level which cannot be mitigated by interventions at the primary healthcare level (low confidence). Several factors were identified as important, including strong partnerships with local authorities, telecommunication companies, technical system providers, and non-governmental organizations (very low confidence); availability of stock-level data at all levels of the health system (low confidence); the role of supportive supervision and responsive management (moderate confidence); familiarity and training of health workers in the use of the digital devices (moderate confidence); availability of technical programming expertise for the initial development and ongoing maintenance of the digital systems (low confidence); incentives, such as phone credit for personal use, to support regular use of the system (low confidence); easy-to-use systems built with user participation (moderate confidence); use of basic or personal mobile phones to support easier adoption (low confidence); consideration for software features, such as two-way communication (low confidence); and data availability in an easy-to-use format, such as an interactive dashboard (moderate confidence).

AUTHORS' CONCLUSIONS

We need more, well-designed, controlled studies comparing stock notification and commodity management via mobile devices with paper-based commodity management systems. Further studies are needed to understand the factors that may influence the implementation of such interventions, and how implementation considerations differ by variations in the intervention.

Closing the gap in implementation of HIV clinical guidelines in a low resource setting using electronic medical records

BACKGROUND

Universal health coverage promises equity in access to and quality of health services. However, there is variability in the quality of the care (QoC) delivered at health facilities in low and middle-income countries (LMICs). Detecting gaps in implementation of clinical guidelines is key to prioritizing the efforts to improve quality of care. The aim of this study was to present statistical methods that maximize the use of existing electronic medical records (EMR) to monitor compliance with evidence-based care guidelines in LMICs.

METHODS

We used iSanté, Haiti's largest EMR to assess adherence to treatment guidelines and retention on treatment of HIV patients across Haitian HIV care facilities. We selected three processes of care - (1) implementation of a 'test and start' approach to antiretroviral therapy (ART), (2) implementation of HIV viral load testing, and (3) uptake of multi-month scripting for ART, and three continuity of care indicators - (4) timely ART pick-up, (5) 6-month ART retention of pregnant women and (6) 6-month ART retention of non-pregnant adults. We estimated these six indicators using a model-based approach to account for their volatility and measurement error. We added a case-mix adjustment for continuity of care indicators to account for the effect of factors other than medical care (biological, socio-economic). We combined the six indicators in a composite measure of appropriate care based on adherence to treatment guidelines.

RESULTS

We analyzed data from 65,472 patients seen in 89 health facilities between June 2016 and March 2018. Adoption of treatment guidelines differed greatly between facilities; several facilities displayed 100% compliance failure, suggesting implementation issues. Risk-adjusted continuity of care indicators showed less variability, although several facilities had patient retention rates that deviated significantly from the national average. Based on the composite measure, we identified two facilities with consistently poor performance and two star performers.

CONCLUSIONS

Our work demonstrates the potential of EMRs to detect gaps in appropriate care processes, and thereby to guide quality improvement efforts. Closing quality gaps will be pivotal in achieving equitable access to quality care in LMICs.

Towards 90-90-90 Target: Factors Influencing Availability, Access, and Utilization of HIV Services-A Qualitative Study in 19 Ugandan Districts

Background

UNAIDS has set a new target 90-90-90 by 2020. To achieve this target, current programs need to address challenges that limit access, availability, and utilization of HIV testing and treatment services. Therefore, the aim of this study was to identify the barriers that influence access, availability, and utilization of HIV services in rural Uganda within the setting of a large donor funded program.

Methods

We conducted key informant interviews with stakeholders at the district level, staff of existing HIV/AIDS projects, and health facilities in 19 districts. Data were also collected from focus group discussions comprised of clients presenting for HIV care and treatment. Data were transcribed and analyzed using content analysis. Results. Barriers identified were as follows: (1) drug shortages including antiretroviral drugs at health facilities. Some patients were afraid to start ART because of worrying about shortages; (2) distance and (3) staffing shortages; (4) stigma persistence; (5) lack of social and economic support initiatives that enhance retention in treatment.

Conclusions

In conclusion, our study has identified several factors that influence access, availability, and utilization of HIV services. Programs need to address drug and staff shortages, HIV stigma, and long distances to health facilities to broaden access and utilization in order to realize the UNAIDS target.

Health Product Supply Chains in Developing Countries: Diagnosis of the Root Causes of Underperformance and an Agenda for Reform

Abstract-Well-functioning supply chains to deliver medicines, vaccines, and other health products form the backbone of the health system. Health product supply chains in developing countries are fraught with many problems. Ineffective supply chains weaken the overall health system's ability to respond to the healthcare needs of the population and put treatment programs at risk. This article provides an overview of the structure of health product supply chains in developing countries and outlines the main challenges and their root causes. It aims to identify key areas of reform to ensure that supply chains enable-or at least do not impede-achieving the targeted health outcomes from the increased investments in global health.

Community views: balancing the public health benefits of earlier antiretroviral treatment with the implications for individual patients - perspectives from the community

PURPOSE OF REVIEW

When should people with HIV start treatment? This question is widely debated. The recent momentum to initiate treatment at a CD4 cell count above 350 cells/mm3 is driven by the potential population benefits of antiretroviral treatment reducing infectiousness together with operational concerns. These are important. However, we focus on the clinical benefits and risks for the person taking treatment, and how this may vary depending on the background health setting.

RECENT FINDINGS

We refer to the recent guideline changes and the limited evidence on which they are based. Many studies that have informed guideline changes reference plausible benefits, but have limited follow-up and are not designed to assess the potential risks. We note historical examples to show that expert opinion in the absence of data warrants caution.

SUMMARY

Results from well powered studies designed to look at the question of when to start treatment are essential for quantifying the benefits and risks of earlier treatment. Meanwhile, the decision of when to start must be taken by the HIV-positive person in consultation with their health worker based on accurate information. That choice will vary depending on a person's individual health, their reason to want to treat and the resources of the health-care facility.

Multiplicity in public health supply systems: a learning agenda

Supply chain integration—merging products for health programs into a single supply chain—tends to be the dominant model in health sector reform. However, multiplicity in a supply system may be justified as a risk management strategy that can better ensure product availability, advance specific health program objectives, and increase efficiency.

Current strategies for improving access and adherence to antiretroviral therapies in resource-limited settings

The rollout of antiretroviral therapy (ART) significantly reduced human immunodeficiency virus (HIV)-related morbidity and mortality, but good clinical outcomes depend on access and adherence to treatment. In resource-limited settings, where over 90% of the world's HIV-infected population resides, data on barriers to treatment are emerging that contribute to low rates of uptake in HIV testing, linkage to and retention in HIV care systems, and suboptimal adherence rates to therapy. A review of the literature reveals limited evidence to inform strategies to improve access and adherence with the majority of studies from sub-Saharan Africa. Data from observational studies and randomized controlled trials support home-based, mobile and antenatal care HIV testing, task-shifting from doctor-based to nurse-based and lower level provider care, and adherence support through education, counseling and mobile phone messaging services. Strategies with more limited evidence include targeted HIV testing for couples and family members of ART patients, decentralization of HIV care, including through home- and community-based ART programs, and adherence promotion through peer health workers, treatment supporters, and directly observed therapy. There is little evidence for improving access and adherence among vulnerable groups such as women, children and adolescents, and other high-risk populations and for addressing major barriers. Overall, studies are few in number and suffer from methodological issues. Recommendations for further research include health information technology, social-level factors like HIV stigma, and new research directions in cost-effectiveness, operations, and implementation. Findings from this review make a compelling case for more data to guide strategies to improve access and adherence to treatment in resource-limited settings.