Introduction HIV testing during pregnancy provides an entry point to prevention of mother-to-child transmission of HIV and to access treatment for HIV positive women. The study aimed to assess the uptake of HIV testing during pregnancy and associated factors among Ethiopian women. Methods We analyzed the 2016 Ethiopian Demographic and Health Survey dataset. Women who gave birth within one year prior to the survey were included in the analysis. Uptake of HIV testing during pregnancy is defined as receiving HIV testing service during pregnancy and/ or at the time of delivery and knew the test results. Adjusted odds ratios (AORs) and 95% confidence intervals (95% CIs) were calculated by using step-wise backward logistic regression analyses to identify factors associated with HIV testing during pregnancy. Results A total of 2114 women who were pregnant in the last one year prior to the survey were included in the analysis. Of these, only 35.1% were tested for HIV and received the test results during pregnancy. About one third of women who had antenatal care follow-up missed the opportunity to be tested for HIV. Compared to women who had no formal education, those who had primary level education (AOR = 1.55; 95% CI: 1.12–2.15), secondary level education (AOR = 2.56 95%CI: 1.36–3.82), or higher education (AOR = 3.95, 95%CI: 1.31–11.95) were more likely to be tested for HIV during pregnancy. Similarly, having awareness about mother-to-child transmission of HIV (AOR = 2.03, 95%CI: 1.48–2.78), and living in urban areas (AOR = 3.30, 95%CI: 1.39–7.85) were positively and independently associated with uptake of HIV during pregnancy. Women who have stigmatizing attitude towards HIV positive people were less likely to be tested for HIV (AOR = 0.57, 95%CI: 0.40–0.79). Conclusion Uptake of HIV testing during pregnancy is low. Missed opportunity among women who had antenatal care visits was very high. Integrating HIV testing with antenatal care services, improving HIV testing service quality and access are essential to increase uptake of HIV testing during pregnancy and reach the goal of eliminating MTCT.
We used data from the EDHS 2016 survey. The survey was conducted between January 18, 2016 and June 27, 2016. It covered all nine regions and two city administrations of Ethiopia. The survey was designed to be representative of the country and each region by taking a sampling frame from the 2007 population census of Ethiopia. The current study focuses on analyzing coverage of HIV counseling and testing service during pregnancy with a primary purpose of preventing mother-to-child transmission of HIV. The survey employed a stratified, two-stage cluster sampling technique. Ethiopia has nine administrative regions and two city administrations. The regions are divided in to zones, districts and kebeles (the lowest administrative units). A total of 84,915 census enumeration areas (EAs) were created by dividing kebeles with an average of 181 households per EA. Samples of 645 EAs (202 from urban and 443 from rural areas) were randomly selected, and 28 households from each EA were included in the survey by applying a systematic random sampling strategy. The survey administered questionnaires and collected biological sample from women of reproductive age group (15 to 49 years), children under five years old and men age between 15 to 59 years. However, for this particular study, women of reproductive age group were the source population, and women who gave birth to their last child in the last one year prior to the survey were the study populations (we restricted the sample to birth in the last one year so as to minimize recall bias).We used data collected from women of reproductive age group (15–49 years) using DHS’s women’s questionnaire [21], The questionnaire was a standardized and field tested tool used in different countries and only a subset of variables were included in the current study. Data quality was preserved by pre-testing the survey tools preceding the survey, and data were collected by trained survey teams consisted of one team supervisor, one field editor, four female interviewers, and two male interviewers. In addition, independent quality control team was used to check the quality of the collected data. The outcome variable is uptake of HIV testing during pregnancy (yes or no). Uptake HIV testing during pregnancy is defined as receiving HIV testing service during pregnancy and/or at the time of delivery and knew the test results. We included potential predictors of HIV counseling and testing, such as maternal age in years, marital status (never married, married and divorced/widowed/separated), religion (Orthodox, Muslim, Protestant and Others), region, residence (urban and rural), educational status (no education, primary, secondary, and higher), wealth index (poorest, poorer, middle, richer, and richest), and awareness of MTCT of HIV was defined as awareness of women about possibility of HIV transmission from HIV positive mother to a child (yes or no). Employment status was defined as having any kind of job other than their housework in the last 12 months before the survey (not employed, or employed). Finally, stigmatizing attitude towards HIV positive people was measured by respondents’ refusal to buy vegetable form known HIV positive vendor (yes or no). The survey employed a stratified two stage sampling and there was over sampling of some populations, as a result complex survey data analysis and weighting were employed as recommended by DHS [22], to make the data more representative of the national population and all the findings are based on weighted analysis. Descriptive statistics were computed to summarize socio-demographic characteristics of study participants. We compared the socio demographic characteristics of women who had HIV testing during their last pregnancy with those who were not tested for HIV using weighted chi-square tests. Moreover, we run a weighted bivariate and multivariate logistic regression analysis, reporting odds ratio (OR) and 95% confidence interval (CI). The multivariate logistic regression analysis was conducted by using step-wise backward elimination technique after including all relevant covariates in the model and eliminating one variable at a time. Variables which had P values <0.05 were considered significant. Data analysis was carried out by STATA version 14 (Stata Corp., College Station, TX). The study was approved by the Federal Democratic Republic of Ethiopia Ministry of Science and Technology and the Institutional Review Board of ICF International. Moreover, the respondents gave written consent to participate in the survey. Data collectors were trained for one month on different aspects of the data collection process, including ethical issues.
N/A