BACKGROUNDUniversal antiretroviral therapy (ART) with annual population testing and a multidisease, patient-centered strategy could reduce new human immunodeficiency virus (HIV) infections and improve community health. METHODSWe randomly assigned 32 rural communities in Uganda and Kenya to baseline HIV and multidisease testing and national guideline-restricted ART (control group) or to baseline testing plus annual testing, eligibility for universal ART, and patient-centered care (intervention group). The primary end point was the cumulative incidence of HIV infection at 3 years. Secondary end points included viral suppression, death, tuberculosis, hypertension control, and the change in the annual incidence of HIV infection (which was evaluated in the intervention group only). RESULTSA total of 150,395 persons were included in the analyses. Population-level viral suppression among 15,399 HIV-infected persons was 42% at baseline and was higher in the intervention group than in the control group at 3 years (79% vs. 68%; relative prevalence, 1.15; 95% confidence interval [CI], 1.11 to 1.20). The annual incidence of HIV infection in the intervention group decreased by 32% over 3 years (from 0.43 to 0.31 cases per 100 personyears; relative rate, 0.68; 95% CI, 0.56 to 0.84). However, the 3-year cumulative incidence (704 incident HIV infections) did not differ significantly between the intervention group and the control group (0.77% and 0.81%, respectively; relative risk, 0.95; 95% CI, 0.77 to 1.17). Among HIV-infected persons, the risk of death by year 3 was 3% in the intervention group and 4% in the control group (0.99 vs. 1.29 deaths per 100 person-years; relative risk, 0.77; 95% CI, 0.64 to 0.93). The risk of HIV-associated tuberculosis or death by year 3 among HIV-infected persons was 4% in the intervention group and 5% in the control group (1.19 vs. 1.50 events per 100 person-years; relative risk, 0.79; 95% CI, 0.67 to 0.94). At 3 years, 47% of adults with hypertension in the intervention group and 37% in the control group had hypertension control (relative prevalence, 1.26; 95% CI, 1.15 to 1.39). CONCLUSIONSUniversal HIV treatment did not result in a significantly lower incidence of HIV infection than standard care, probably owing to the availability of comprehensive baseline HIV testing and the rapid expansion of ART eligibility in the control group. (Funded by the National Institutes of Health and others; SEARCH ClinicalTrials.gov number, NCT01864603.
Background Despite large investments in HIV testing, only 45% of HIV-infected persons in sub-Saharan Africa are estimated to know their status. Optimal methods for maximizing population-level testing remain unknown. We sought to demonstrate the effectiveness at achieving population-wide testing coverage of a hybrid mobile HIV testing approach. Methods From 2013–2014, we enumerated 168,772 adult (≥15 years) residents of 32 communities in Uganda (N=20), and Kenya (N=12) using a door-to-door census. “Stable” residence was defined as living in community for ≥6 months over the past year. In each community we performed 2-week multi-disease community health campaigns (CHC) that included HIV testing, counseling, and referral to care if HIV-infected; CHC non-participants were approached for home-based testing (HBT) over 1–2 months. We determined population HIV testing coverage, and predictors of testing via HBT (vs. CHC) and non-testing. Findings HIV testing was achieved in 89% of stable adult residents (131,307/146,906). HIV prevalence was 9.6% (13,043/136,033 stable and non-stable adults); median CD4+ T-cell count was 514 cells/μL (IQR: 355–703). Among stable adults tested, 43% (56,106/131,307) reported no prior testing. Among HIV-infected adults, 38% (4,932/13,043) were unaware of their status. Among stable CHC attendees, 99.5% (104,635/105,170) accepted HIV testing. Of stable adults tested, 80% (104,635/131,307, range: 60–93%) tested via CHCs. In multivariable analyses of stable adults, predictors of non-testing included male gender (risk ratio [RR]: 1.52, 95% CI: 1.48–1.56), single marital status (RR: 1.70, 95% CI: 1.66–1.75), Kenyan residence (RR: 1.46, 95% CI: 1.41–1.50, vs. Ugandan), and out-of-community migration for ≥1 month in past year (RR: 1.60, 95% CI: 1.53–1.68). Testing was more common among farmers (RR: 0.73, 95% CI: 0.67–0.79) and adults with primary education (RR: 0.84, 95% CI: 0.80–0.89). Interpretation High HIV testing coverage was achieved in rural Ugandan and Kenyan communities using a hybrid, mobile approach of multi-disease CHCs followed by HBT. This approach allowed for flexibility at the community and individual level in reaching testing coverage goals. Men and mobile populations remain challenges for universal testing.
clinicaltrials.gov Identifier: NCT01864683.
Objective We sought to increase adolescent HIV testing across rural communities in east Africa and identify predictors of undiagnosed HIV. Design Hybrid mobile testing. Methods We enumerated 116,326 adolescents (10–24 years) in 32 communities of Uganda and Kenya (SEARCH:NCT01864603): 98,694 (85%) reported stable (≥6 months of prior year) residence. In each community we performed hybrid testing: 2- week multi-disease community health campaign (CHC) that included HIV testing, followed by home-based testing of CHC non-participants. We measured adolescent HIV testing coverage and prevalence, and determined predictors of newly-diagnosed HIV among HIV+ adolescents using multivariable logistic regression. Results 86,421 (88%) stable adolescents tested for HIV; coverage was 86%, 90%, and 88% in early (10–14), mid (15–17) and late (18–24) adolescents, respectively. Self- reported prior testing was 9%, 26%, and 55% in early, mid and late adolescents tested, respectively. HIV prevalence among adolescents tested was 1.6% and 0.6% in Ugandan women and men, and 7.1% and 1.5% in Kenyan women and men, respectively. Prevalence increased in mid-adolescence for women, and late adolescence for men. Among HIV+ adolescents, 58% reported newly-diagnosed HIV. In multivariate analysis of HIV+ adolescents, predictors of newly-diagnosed HIV included male gender (OR=1.97 [95%CI: 1.42–2.73]), Ugandan residence (OR=2.63 [95%CI: 2.08–3.31]), and single status (OR=1.62 [95%CI: 1.23–2.14] vs. married). Conclusions The SEARCH hybrid strategy tested 88% of stable adolescents for HIV, a substantial increase over the 28% reporting prior testing. The majority (57%) of HIV+ adolescents were new diagnoses. Mobile HIV testing for adults should be leveraged to reach adolescents for HIV treatment and prevention.
Background In 2013-14, we achieved 89% adult HIV testing coverage using a hybrid testing approach in 32 communities in Uganda and Kenya (SEARCH: NCT01864603). To inform scalability, we sought to determine: 1) overall cost and efficiency of this approach; and 2) costs associated with point-of-care (POC) CD4 testing, multi-disease services, and community mobilization. Methods We applied micro-costing methods to estimate costs of population-wide HIV testing in 12 SEARCH Trial communities. Main intervention components of the hybrid approach are census, multi-disease community health campaigns (CHC), and home-based testing (HBT) for CHC non-attendees. POC CD4 tests were provided for all HIV-infected participants. Data were extracted from expenditure records, activity registers, staff interviews, and time and motion logs. Results The mean cost per adult tested for HIV was $20.5 (range: $17.1 - $32.1) [2014 US$], including a POC CD4 test at $16 per HIV+ person identified. Cost per adult tested for HIV was $13.8 at CHC vs. $31.7 via HBT. The cost per HIV+ adult identified was $231 ($87 - $1,245), with variability due mainly to HIV prevalence among persons tested (i.e., HIV positivity rate). The marginal costs of multi-disease testing at CHCs were $1.16/person for hypertension and diabetes, and $0.90 for malaria. Community mobilization constituted 15.3% of total costs. Conclusions The hybrid testing approach achieved very high HIV testing coverage, with POC CD4, at costs similar to previously reported mobile, home-based, or venue-based HIV testing approaches in sub-Saharan Africa. By leveraging HIV infrastructure, multi-disease services were offered at low marginal costs.
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