Reaching the 'first 90': Gaps in coverage of HIV testing among people living with HIV in 16 African countries.

BACKGROUND: UNAIDS has recently proposed a set of three ambitious targets that, if achieved, are predicted to end the AIDS epidemic by 2030. The targets, known as 90-90-90, call for 90% of people living with HIV (PLHIV) to know their status, 90% of PLHIV to receive antiretroviral therapy, and 90% of those on antiretroviral therapy to achieve viral suppression by the year 2020. We examine the first of these targets, focusing on sub-Saharan Africa, the region of the world most affected by HIV, to measure the proportion of PLHIV estimated to know their HIV status, and to identify background and behavioral characteristics significantly associated with gaps in ever testing among PLHIV. METHODS AND FINDINGS: We analyze cross-sectional population-based data from the Demographic and Health Surveys (DHS) and AIDS Indicator Surveys (AIS) fielded since 2010 in 16 sub-Saharan African countries where voluntary serological testing was recently conducted: Burkina Faso, Cameroon, Chad, Cote d'Ivoire, Ethiopia, Gabon, Lesotho, Malawi, Namibia, Rwanda, Sierra Leone, Tanzania, Togo, Uganda, Zambia, and Zimbabwe. Survey response rates averaged 95.0% (range 89.3-99.5%), while consent to serotesting averaged 94.9% (range 88.7-99.6%). This study, which includes more than 14,000 respondents living with HIV, finds that 69% of PLHIV in the average study country have ever been tested for HIV (range 34-95%). Based on timing of the last test and on ART coverage, we estimate that 54% of PLHIV in the average country are aware of their status (range 26-84%). Adjusted logistic regression finds that men (median adjusted odds ratio [AOR] = 0.38), adults with less than primary education (median AOR = 0.31), and adolescents (median AOR = 0.32) are consistently less likely to have ever been tested for HIV than women, adults with secondary and above education, and adults age 30-39, respectively. In most countries unadjusted logistic regression also finds significant gaps in testing among the poorest groups and those reporting never having had sex. CONCLUSION: The fact that an average of 54% of PLHIV in these 16 countries are estimated to know their status reflects encouraging progress. However, not only is this average far short of the 90% target set by UNAIDS for 2020, but it also implies that in the average study country nearly one-half of PLHIV are unable to access lifesaving care and treatment because they are unaware that they are HIV-positive. Several gaps in HIV testing coverage exist, particularly among adolescents, the least educated, and men. While the need to target demographic groups at greatest risk of HIV continues, additional interventions focused on reaching men and on reaching socially vulnerable populations such as adolescents, the poorest, and the least educated are essential.

Fear, opposition, ambivalence, and omission: Results from a follow-up study on unmet need for family planning in Ghana.

INTRODUCTION: Despite a relatively strong family planning program and regionally modest levels of fertility, Ghana recorded one of the highest levels of unmet need for family planning on the African continent in 2008. Unmet need for family planning is a composite measure based on apparent contradictions between women's reproductive preferences and practices. Women who want to space or limit births but are not using contraception are considered to have an unmet need for family planning. The study sought to understand the reasons behind high levels of unmet need for family planning in Ghana. METHODS: A mixed methods follow-up study was embedded within the stratified, two-stage cluster sample of the 2014 Ghana Demographic and Health Survey (GDHS). Women in 13 survey clusters who were identified as having unmet need, along with a reference group of current family planning users, were approached to be reinterviewed within an average of three weeks from their GDHS interview. Follow-up respondents were asked a combination of closed- and open-ended questions about fertility preferences and contraceptive use. Closed-ended responses were compared against the original survey; transcripts were thematically coded and analyzed using qualitative analysis software. RESULTS: Among fecund women identified by the 2014 GDHS as having unmet need, follow-up interviews revealed substantial underreporting of method use, particularly traditional methods. Complete postpartum abstinence was sometimes the intended method of family planning but was overlooked during questions about method use. Other respondents classified as having unmet need had ambivalent fertility preferences. In several cases, respondents expressed revised fertility preferences upon follow-up that would have made them ineligible for inclusion in the unmet need category. The reference group of family planning users also expressed unstable fertility preferences. Aversion to modern method use was generally more substantial than reported in the GDHS, particularly the risk of menstrual side effects, personal or partner opposition to family planning, and religious opposition to contraception.

Design and methodology of a mixed methods follow-up study to the 2014 Ghana Demographic and Health Survey.

BACKGROUND: The intended meaning behind responses to standard questions posed in large-scale health surveys are not always well understood. Systematic follow-up studies, particularly those which pose a few repeated questions followed by open-ended discussions, are well positioned to gauge stability and consistency of data and to shed light on the intended meaning behind survey responses. Such follow-up studies require extensive coordination and face challenges in protecting respondent confidentiality during the process of recontacting and reinterviewing participants. OBJECTIVES: We describe practical field strategies for undertaking a mixed methods follow-up study during a large-scale health survey. METHODS: The study was designed as a mixed methods follow-up study embedded within the 2014 Ghana Demographic and Health Survey (GDHS). The study was implemented in 13 clusters. Android tablets were used to import reference data from the parent survey and to administer the questionnaire, which asked a mixture of closed- and open-ended questions on reproductive intentions, decision-making, and family planning. RESULTS: Despite a number of obstacles related to recontacting respondents and concern about respondent fatigue, over 92 percent of the selected sub-sample were successfully recontacted and reinterviewed; all consented to audio recording. A confidential linkage between GDHS data, follow-up tablet data, and audio transcripts was successfully created for the purpose of analysis. CONCLUSIONS: We summarize the challenges in follow-up study design, including ethical considerations, sample size, auditing, filtering, successful use of tablets, and share lessons learned for future such follow-up surveys.