Background Partner services (PSs) are a long-standing component of HIV control programs in the United States and some parts of Europe. Small randomized trials suggest that HIV PS can be effective in identifying persons with undiagnosed HIV infection. However, the scalability and effectiveness of HIV PS in low-income countries are unknown. Methods We used data collected from 2009 to 2010 through a large HIV PS program in Cameroon to evaluate HIV PS in a developing country. HIV-positive index cases diagnosed in antenatal care, voluntary counseling and testing, and inpatient facilities were interviewed to collect information on their sexual partners. Partners were contacted via telephone or home visit to notify, test, and enroll those found to be HIV positive in medical care. Results Health advisors interviewed 1462 persons with HIV infection during the evaluation period; these persons provided information about 1607 sexual partners. Health advisors notified 1347 (83.8%) of these partners, of whom 900 (66.8%) were HIV tested. Of partners tested, 451 (50.1%) were HIV positive, of whom 386 (85.6%) enrolled into HIV medical care. An average 3.2 index cases needed to be interviewed to identify 1 HIV case. Conclusions HIV PS can be successfully implemented in a developing country and is highly effective in identifying persons with HIV infection and linking them to care.

BackgroundWell-functioning health systems need to utilize data at all levels, from the provider, to local and national-level decision makers, in order to make evidence-based and needed adjustments to improve the quality of care provided. Over the last 7 years, the Doris Duke Charitable Foundation’s African Health Initiative funded health systems strengthening projects at the facility, district, and/or provincial level to improve population health. Increasing data-driven decision making was a common strategy in Mozambique, Rwanda and Zambia. This paper describes the similar and divergent approaches to increase data-driven quality of care improvements (QI) and implementation challenge and opportunities encountered in these three countries.MethodsEight semi-structured in-depth interviews (IDIs) were administered to program staff working in each country. IDIs for this paper included principal investigators of each project, key program implementers (medically-trained support staff, data managers and statisticians, and country directors), as well as Ministry of Health counterparts. IDI data were collected through field notes; interviews were not audio recorded. Data were analyzed using thematic analysis but no systematic coding was conducted. IDIs were supplemented through donor report abstractions, a structured questionnaire, one-on-one phone calls, and email exchanges with country program leaders to clarify and expand on key themes emerging from IDIs.ResultsProject successes ranged from over 450 collaborative action-plans developed, implemented, and evaluated in Mozambique, to an increase from <10% to >80% of basic clinical protocols followed in intervention facilities in rural Zambia, and a shift from a lack of awareness of health data among health system staff to collaborative ownership of data and using data to drive change in Rwanda.ConclusionBased on common successes across the country experiences, we recommend future data-driven QI interventions begin with data quality assessments to promote that rapid health system improvement is possible, ensure confidence in available data, serve as the first step in data-driven targeted improvements, and improve staff data analysis and visualization skills. Explicit Ministry of Health collaborative engagement can ensure performance review is collaborative and internally-driven rather than viewed as an external “audit.”Electronic supplementary materialThe online version of this article (10.1186/s12913-017-2661-x) contains supplementary material, which is available to authorized users.

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