The Differential Effects of an Opt-Out HIV Testing Policy for Pregnant Women in Ethiopia When Accounting for Stigma: Secondary Analysis of DHS Data.

Individual factors associated with HIV testing have been studied across multiple populations; however, testing is not just an individual-level phenomenon. This secondary analysis of 2005 and 2011 Ethiopia Demographic and Health Survey data was conducted to determine the extent to which the 2007 institution of an opt-out policy of HIV testing during antenatal care increased testing among women, and whether effects differed by women's stigmatizing beliefs about HIV. A logit model with interaction between pre-/post-policy year and policy exposure (birth in the past year) was used to estimate the increased probability of past-year testing, which may be attributable to the policy. Results suggested the policy contributed to a nine-point increase in the probability of testing (95% CI 0.06-0.13, p < 0.0001). A three-way interaction was used to compare the effects of exposure to the policy among women holding higher and lower HIV stigmatizing beliefs. The increase in the probability of past-year testing was 16 percentage points greater among women with lower stigmatizing beliefs (95% CI 0.06-0.27, p = 0.002). Women with higher stigmatizing beliefs were less likely to report attending antenatal care (ANC), testing at their last ANC visit, or being offered a test at their last ANC visit. We encourage researchers and practitioners to explore interventions that operate at multiple levels of socio-ecological spheres of influence, addressing both stigma and structural barriers to testing, in order to achieve the greatest results in preventing HIV.

What is the role of community capabilities for maternal health? An exploration of community capabilities as determinants to institutional deliveries in Bangladesh, India, and Uganda.

BACKGROUND: While community capabilities are recognized as important factors in developing resilient health systems and communities, appropriate metrics for these have not yet been developed. Furthermore, the role of community capabilities on access to maternal health services has been underexplored. In this paper, we summarize the development of a community capability score based on the Future Health System (FHS) project's experience in Bangladesh, India, and Uganda, and, examine the role of community capabilities as determinants of institutional delivery in these three contexts. METHODS: We developed a community capability score using a pooled dataset containing cross-sectional household survey data from Bangladesh, India, and Uganda. Our main outcome of interest was whether the woman delivered in an institution. Our predictor variables included the community capability score, as well as a series of previously identified determinants of maternal health. We calculate both population-averaged effects (using GEE logistic regression), as well as sub-national level effects (using a mixed effects model). RESULTS: Our final sample for analysis included 2775 women, of which 1238 were from Bangladesh, 1199 from India, and 338 from Uganda. We found that individual-level determinants of institutional deliveries, such as maternal education, parity, and ante-natal care access were significant in our analysis and had a strong impact on a woman's odds of delivering in an institution. We also found that, in addition to individual-level determinants, greater community capability was significantly associated with higher odds of institutional delivery. For every additional capability, the odds of institutional delivery would increase by up to almost 6 %. CONCLUSION: Individual-level characteristics are strong determinants of whether a woman delivered in an institution. However, we found that community capability also plays an important role, and should be taken into account when designing programs and interventions to support institutional deliveries. Consideration of individual factors and the capabilities of the communities in which people live would contribute to the vision of supporting people-centered approaches to health.