Community-funded integrated care outreach clinics as a capacity building strategy to expand access to health care in remote areas of Uganda.

Most Ugandans live in rural, medically underserved communities where geography and poverty lead to reduced access to healthcare. We present a novel low-cost approach for supplemental primary care financing through 1) pooling community wealth to cover overhead costs for outreach clinic activities and 2) issuing microfinance loans to motorcycle taxi entrepreneurs to overcome gaps in access to transportation. The intervention described here, which leverages community participation as a means to extend the reach of government health service delivery, was developed and implemented by Health Access Connect (HAC), a non-governmental organization based in Uganda. HAC began its work in August 2015 in the Lake Victoria region and now serves over 40 sites in Uganda across 5 districts, helping government health-care workers to provide over 1,300 patient services per month (and over 35,000 since the program's inception) with an average administrative cost of $6.24 per patient service in 2020. In this article, we demonstrate how integrated and appropriately resourced monthly outreach clinics, based on a microfinance-linked model of wealth pooling and government cooperation, can expand the capacity of government-provided healthcare to reach more patients living in remote communities. This scalable, sustainable, and flexible model is responsive to shifting needs of patients and health systems and presents an alternative approach to healthcare financing in low-resource settings. More rigorous evaluation of health outcomes stemming from such community-based models of service delivery is warranted.

Replication of influential studies on biomedical, social, behavioural and structural interventions for HIV prevention and treatment.

Replication is an important tool to promote high quality research and ensure policy makers can rely on studies in making guidelines or funding programs. By ensuring influential studies are replicable we provide assurance that the policies based on these studies are well-founded and the conclusions and recommendations are robust-to different estimation models or different choices. In this paper, we argue that replication is not only useful but necessary to ensure that an author's choice in how to analyse data is not the only factor that determines whether an intervention is effective or not. We also show that while most research is done well and provides robust results, small differences can lead to different interpretations and these differences need to be acknowledged. This special issue highlights 5 such replication studies, which are replications of influential studies on biomedical, social, behavioural and structural interventions for HIV prevention and treatment. We reflect on their findings. Four out of five studies, which conduct push button replication and pure replication, were able to reproduce the results of the original studies with minor differences, mainly due to minor typographical errors or rounding differences. The analysis of the measurement and estimation analyses conducted in these five studies reveals that the original results are not very robust to alternative analytical approaches, especially when these results rely on a small number of observations. In these cases, the original results are weakened. Furthermore, in contrast to the original papers, two of the five included replication studies conducted a theory of change analysis-to explore how or why the interventions work (or do not) not just whether the intervention works or not. These two analyses indicate that the estimated impacts of the interventions are drawn from few mediators. In addition, they demonstrate that, in some cases, a lack of effect may be related to lack of adequate exposure to the intervention rather than inefficacy of the intervention per se. However, overall, the included replication studies show that the results presented in the original papers are trustworthy and robust, especially when based on larger sample sizes. Replication studies can not only verify the results of a study, they can also provide additional insights on the published results, such as how and why an intervention was effective or less effective than expected. They can thus be a tool to inform the research community and/ or policymakers about whether and how interventions could be adopted, which need to be tested further, and which should be discontinued because of their ineffectiveness. Thus, publishing these replication studies in peer-reviewed journals makes the work public and publicized. The work advances knowledge, and publication should be encouraged, as it is for other types of research.

Treatment of HIV among tuberculosis patients: A replication study of timing of antiretroviral therapy for HIV-1-associated tuberculosis.

Co-diagnosis of HIV and tuberculosis presents a treatment dilemma. Starting both treatments at the same time can cause a flood of immune response called immune reconstitution inflammatory syndrome (IRIS) which can be lethal. But, how long to delay HIV treatment is less understood. In 2011, based on the conclusions of three separate studies, WHO recommended starting HIV treatment earlier for those with later HIV disease progression. This paper conducts a replication study of one of the three studies, by Havlir and colleagues. Using their publicly available data, we were able to replicate most of the results presented in the original paper. In our measurement and estimation analyses we use different estimation techniques to assess the robustness of the results. We find that adjusting for loss to follow-up does not affect the main results of the paper. However, an ANCOVA estimation and an instrumental variable model weaken the main result of the paper of better outcomes with early HIV treatment only for those who are sicker, reducing significance from the 5% to the 10% level. A change-point analysis also detects no changes in effect by timing of HIV treatment initiation or different thresholds of CD4 count for the primary outcome. This result suggests that the choice of start time for HIV treatment initiation should be based on other factors including potential drug interactions, overlapping side effects, a high pill burden and severity of illness rather than CD4 threshold and preset timeframes. While we caution against overgeneralizing, the result of this replication is aligned with more recent studies that show no evidence that early initiation of HIV treatment reduces mortality for any patients.

Public readiness for HIV self-testing in Kenya.

High interest and a growing body of evidence suggest that HIV self-testing could help fill the HIV testing gap for populations who have been hesitant to access testing services through current mechanisms. Evidence from five of six studies funded by 3ie answers questions posed by the Kenyan government to understand the readiness of Kenyans for HIV self-testing. The findings suggest that Kenyans are generally ready for HIV self-testing. Most people would not only like to obtain self-test kits through public health facilities but also expect to be able to obtain them from pharmacies - easy access being a key factor for a distribution outlet. Respondents across the studies seem to understand the importance of counseling and confirmatory testing, although the decision to access services after an HIV self-test will certainly be influenced by the results of the test. Respondents do have some concerns about potential harms and abuses from HIV self-tests. These concerns are focused on what they expect others would do, rather than reflections of what they say they would do themselves. Additionally, most people believe that such concerns were mostly unwarranted and/or could be addressed.

Contracting urban primary healthcare services in Bangladesh - effect on use, efficiency, equity and quality of care.

OBJECTIVE: To evaluate a large, ongoing effort to improve urban primary health care (PHC) in Bangladesh through expansion of publicly funded urban health facilities and contracting with partner non-governmental organisations (NGOs). METHODS: A part of Chittagong was assigned to a contracted NGO while the other parts of the city were contracted to the local government. Performance was assessed by baseline and follow-on household surveys, an endline health facility survey and routinely collected data. RESULTS: The results of a health facility survey indicated that overall quality of care was better in the NGO area, and routinely collected data showed that the NGO provided many more services per capita. Based on household survey data, the NGO area of Chittagong was poorer and had lower coverage at baseline. There were significant improvements in both government and NGO-run areas. However, larger improvements were observed on some coverage indicators in the NGO area compared to the government area. Improvements in coverage among the poorest 50% of the population were greater in the NGO-run area. The cost per service delivered was 47% lower in the NGO area. CONCLUSIONS: Investments in urban PHC led to an improvement in the coverage of basic services. Contracting with an NGO had an additional effect in terms of improving coverage, equity, quality of care and efficiency. Increased investments in PHC facilities and contracting with NGOs may be effective in improving urban health services.

Predicting performance in contracting of basic health care to NGOs: experience from large-scale contracting in Uttar Pradesh, India.

Escalating costs and increasing pressure to improve health services have driven a trend toward contracting with the private sector to provide traditionally state-run services. Such contracting is seen as an opportunity to combine theorized advantages of contracting with the efficiency of the private sector. There is still a limited understanding of the preconditions for successful use of contracting and the resources needed for their appropriate use and sustainability. This study assesses the large-scale contracting of 294 non-governmental organizations (NGOs) for delivery of basic health services in Uttar Pradesh, a state with almost 170 million in India. Due to high rates of discontinuation or non-renewal of contracts based on poor performance in the project, a better method for selecting partners was requested. Data on characteristics of the NGOs (intake data) and performance/outcome monitoring indicators were combined to identify correlations. The results showed that NGOs selected were generally small but well-established, had implemented at least two large projects, and had more non-health experience than health experience. Bivariate regressions of outcome score on each input variable showed that training experience, proposal quality and having 'health' contained in the objectives of the organization were statistically significant predictors of good performance. Factors relating to financial capacity, staff qualification, previous experience with health or non-health projects, and age of establishment were not. A combined training plus proposal score was highly predictive of outcome score (ß = 1.37, P < 0.001). The combined score was found to be a much better predictor of outcome scores than a total score used to select NGOs (ß = 0.073, P = 0.539). The study provides valuable information from large-scale contracting. Conclusions on criteria for selecting NGOs for providing basic health care could guide other governments choosing to contract for such services.