BackgroundWe analyzed HIV testing rates, prevalence of undiagnosed HIV, and predictors of testing in the Kenya AIDS Indicator Survey (KAIS) 2007.MethodsKAIS was a nationally representative sero-survey that included demographic and behavioral indicators and testing for HIV, HSV-2, syphilis, and CD4 cell counts in the population aged 15–64 years. We used gender-specific multivariable regression models to identify factors independently associated with HIV testing in sexually active persons.ResultsOf 19,840 eligible persons, 80% consented to interviews and blood specimen collection. National HIV prevalence was 7.1% (95% CI 6.5–7.7). Among ever sexually active persons, 27.4% (95% CI 25.6–29.2) of men and 44.2% (95% CI 42.5–46.0) of women reported previous HIV testing. Among HIV-infected persons, 83.6% (95% CI 76.2–91.0) were unaware of their HIV infection. Among sexually active women aged 15–49 years, 48.7% (95% CI 46.8–50.6) had their last HIV test during antenatal care (ANC). In multivariable analyses, the adjusted odds ratio (AOR) for ever HIV testing in women ≥35 versus 15–19 years was 0.2 (95% CI: 0.1–0.3; p<0.0001). Other independent associations with ever HIV testing included urban residence (AOR 1.6, 95% CI: 1.2–2.0; p = 0.0005, women only), highest wealth index versus the four lower quintiles combined (AOR 1.8, 95% CI: 1.3–2.5; p = 0.0006, men only), and an increasing testing trend with higher levels of education. Missed opportunities for testing were identified during general or pregnancy-specific contacts with health facilities; 89% of adults said they would participate in home-based HIV testing.ConclusionsThe vast majority of HIV-infected persons in Kenya are unaware of their HIV status, posing a major barrier to HIV prevention, care and treatment efforts. New approaches to HIV testing provision and education, including home-based testing, may increase coverage. Targeted interventions should involve sexually active men, sexually active women without access to ANC, and rural and disadvantaged populations.
Background HIV testing and counseling (HTC) is essential for successful HIV prevention and treatment programs. The national target for HTC is 80% of the adult population in Kenya. Population-based data to measure progress towards this HTC target are needed to assess the country’s changing needs for HIV prevention and treatment. Methods In 2012–2013, we conducted a national HIV survey among Kenyans aged 18 months to 64 years. Respondents aged 15–64 years were administered a questionnaire that collected information on demographics, HIV testing behavior, and self-reported HIV status. Blood samples were collected for HIV testing in a central laboratory. Participants were offered home-based testing and counseling to learn their HIV status in the home and point-of-care CD4 testing if they tested HIV-positive. Results Of 13,720 adults who were interviewed, 71.6% [95% confidence interval (CI): 70.2 to 73.1] had been tested for HIV. Among those, 56.1% (95% CI: 52.8 to 59.4) had been tested in the past year, 69.4% (95% CI: 68.0 to 70.8) had been tested more than once, and 37.2% (95% CI: 35.7 to 38.8) had been tested with a partner. Fifty-three percent (95% CI: 47.6 to 58.7) of HIV-infected persons were unaware of their infection. Overall 9874 (72.0%) of participants accepted home-based HIV testing and counseling; 4.1% (95% CI: 3.3 to 4.9) tested HIV-positive, and of those, 42.5% (95% CI 31.4 to 53.6) were in need of immediate treatment for their HIV infection but not receiving it. Conclusions HIV testing rates have nearly reached the national target for HTC in Kenya. However, knowledge of HIV status among HIV-infected persons remains low. HTC needs to be expanded to reach more men and couples, and strategies are needed to increase repeat testing for persons at risk for HIV infection.
This article describes the frequency of alcohol use among HIV-positive patients attending clinical care in sub-Saharan Africa and explores the association between alcohol use, medication adherence, and sexual risk behavior. Data from 3538 patients attending an HIV clinic in Kenya, Tanzania, or Namibia were captured through interview and medical record abstraction. Participants were categorized into three drinking categories: nondrinkers, nonharmful drinkers, and harmful/likely dependent drinkers. A proportional odds model was used to identify correlates associated with categories of alcohol use. Overall, 20% of participants reported alcohol use in the past 6 months; 15% were categorized as nonharmful drinkers and 5% as harmful/likely dependent drinkers. Participants who reported missing a dose of their HIV medications [adjusted odds ratio (AOR): 2.04, 95% confidence interval (CI): 1.67, 2.49]; inconsistent condom use (AOR: 1.49, 95% CI: 1.23, 1.79); exchanging sex for food, money, gifts, or a place to stay (AOR: 1.57, 95% CI: 1.06, 2.32); and having a sexually transmitted infection symptom (AOR: 1.40, 95% CI: 1.10, 1.77) were more likely to be categorized in the higher risk drinking categories. This research highlights the need to integrate alcohol screening and counseling into the adherence and risk reduction counseling offered to HIV-positive patients as part of their routine care. Moreover, given the numerous intersections between alcohol and HIV, policies that focus on reducing alcohol consumption and alcohol-related risk behavior should be integrated into HIV prevention, care, and treatment strategies.
The Kenyan experience suggests that a professional, intensive mass media campaign is likely to contribute to increases in utilization of testing. Expansion of programs for counseling and HIV testing in developing countries is likely to be facilitated by mass media promotion of these services.
The Deaf in Kenya are at risk of HIV and there is an urgent need for Deaf-friendly HIV services, supplemented by peer education programmes. This is the first published report describing HIV services run by the Deaf for the Deaf in the developing world.
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