Predictors of HIV testing among youth 15-24 years in urban Ethiopia, 2017-2018 Ethiopia population-based HIV impact assessment.

INTRODUCTION: Youth (adolescents and young adults) aged 15-24 years comprise approximately 22% of Ethiopia's total population and make up 0.73% of HIV cases in urban Ethiopia. However, only 63% of HIV-positive youth are aware of their HIV status. We describe the HIV testing behaviors of youth 15-24 years and determined the characteristics of those who were most likely to be tested for HIV within the past year. METHODS: Using data from the 2017-2018 Ethiopia Population-based HIV Impact Assessment, we provide survey-weighted estimates and prevalence risk ratios for engagement in HIV testing in the 12 months preceding the survey. We model the likelihood of HIV testing one year or more before the survey compared to never testing, using a multinomial logistic regression model. RESULTS: Among HIV-negative and unaware HIV-positive youth 15-24 years old (N = 7,508), 21.8% [95% Confidence Interval (CI): 20.4-23.3%] reported testing for HIV in the last 12 months. Female youth [Prevalence Ratio (PR) = 1.6, 95% CI: 1.4-1.8], those aged 20-24 years (PR = 2.6, 95% CI:2.3-2.9), and those ever married (PR = 2.8, 95% CI: 2.5-3.1) were more likely to have tested for HIV within the last year. Adjusting for select demographic characteristics, sex with a non-spousal or non-live-in partner [Relative Risk (RR) = 0.3, 95% CI:0.1-0.8] among males did not increase their likelihood to test for HIV in the prior 12 months. Female youth engaged in antenatal care (RR = 3.0, 95% CI: 1.7-5.3) were more likely to test for HIV in the past year. CONCLUSION: The Ethiopian HIV case finding strategy may consider approaches for reaching untested youth, with a specific focus on adolescent males,15-19 years of age. This is critical towards achieving the UNAIDS HIV testing goal of 95% of all individuals living with HIV aware of their status by 2030.

Is Interview Length Associated With Blood Test Participation? Evidence From Three Population-Based HIV Impact Assessment Surveys Conducted From 2016 to 2017.

BACKGROUND: High response rates in surveys are critical to ensuring that findings are unbiased and representative of the target population. Questionnaire length affects response rates, with long interviews associated with partially complete surveys, higher item nonresponse ("don't know" and "refuse" responses), and willingness to participate in future surveys. Our aim is to determine the impact of questionnaire length on blood test participation in population-based HIV surveys. METHODS: Data are from population-based HIV impact assessments conducted in Zambia, Eswatini, and Lesotho in 2016-2017. The population-based HIV impact assessments consist of an interview followed by a blood draw. Consent for blood draw was obtained before the interview in Eswatini and after the interview in Zambia and Lesotho. Interview length was measured by the survey tablet as the time to complete the survey (interview duration) and the number of questions answered by the participant (questionnaire length). We assessed the effects of questionnaire length and interview duration on blood test participation using logistic regression. RESULTS: Across all 3 surveys, the median interview duration was 16 minutes and the median number of questions was 77. In adjusted analyses, there was a negative impact of interview duration on blood draw consent for individuals with unknown status in Lesotho and a positive relationship between questionnaire length and blood draw consent in Zambia for those with HIV-negative and unknown status. CONCLUSION: Although interview length is an important consideration to reduce respondent burden, a longer questionnaire does not necessarily result in lower consent rates for blood testing.