BackgroundAlthough loss to follow-up after antiretroviral therapy (ART) initiation is increasingly recognized, little is known about pre-treatment losses to care (PTLC) after an initial positive HIV test. Our objective was to determine PTLC in newly identified HIV-infected individuals in South Africa.Methodology/Principal FindingsWe assembled the South African Test, Identify and Link (STIAL) Cohort of persons presenting for HIV testing at two sites offering HIV and CD4 count testing and HIV care in Durban, South Africa. We defined PTLC as failure to have a CD4 count within 8 weeks of HIV diagnosis. We performed multivariate analysis to identify factors associated with PTLC. From November 2006 to May 2007, of 712 persons who underwent HIV testing and received their test result, 454 (64%) were HIV-positive. Of those, 206 (45%) had PTLC. Infected patients were significantly more likely to have PTLC if they lived ≥10 kilometers from the testing center (RR = 1.37; 95% CI: 1.11–1.71), had a history of tuberculosis treatment (RR = 1.26; 95% CI: 1.00–1.58), or were referred for testing by a health care provider rather than self-referred (RR = 1.61; 95% CI: 1.22–2.13). Patients with one, two or three of these risks for PTLC were 1.88, 2.50 and 3.84 times more likely to have PTLC compared to those with no risk factors.Conclusions/SignificanceNearly half of HIV-infected persons at two high prevalence sites in Durban, South Africa, failed to have CD4 counts following HIV diagnosis. These high rates of pre-treatment loss to care highlight the urgent need to improve rates of linkage to HIV care after an initial positive HIV test.

Key Points Question How does an artificial intelligence (AI)–enabled decision aid generated using patient-reported outcome measurements compare with education only on decision quality, patient satisfaction, and functional outcomes among individuals with knee osteoarthritis considering total knee replacement? Findings This randomized clinical trial of 129 patients demonstrated statistically significant improvement in decision quality, level of shared decision-making, patient satisfaction, and functional outcomes in patients using an AI-enabled decision aid. Meaning These findings suggest that AI-enabled decision aids incorporating patient-reported outcome measurement data provide a personalized, data-driven approach to shared decision-making for the surgical management of knee osteoarthritis.

Objective To evaluate rates of antiretroviral therapy (ART) initiation within 12 months of a new HIV diagnosis in Durban, South Africa. Design Prospective observational cohort. Methods Adults (≥18 years) were enrolled before HIV testing at two outpatient clinics into the South African Test, Identify and Link cohort. Both sites offer comprehensive HIV care. HIV test results, CD4 cell counts, dates of ART initiation and dates of death were collected from medical records and 12-month patient/family interviews were conducted. ART eligibility was defined as a CD4 cell count less than 200 cells/μl within 90 days of HIV diagnosis. The primary endpoint was ART initiation within 12 months for ART-eligible subjects. Results From November 2006 to October 2008, 1474 newly diagnosed HIV-infected outpatients were enrolled, 1012 (69%) of whom underwent CD4 cell count testing within 90 days. The median CD4 cell count was 159 cells/μl (interquartile range 65–299). Of those who underwent CD4 cell count testing, 538 (53%) were ART-eligible. Only 210 (39%) eligible enrollees were known to have initiated ART within 12 months. Among ART-eligible subjects, there were 108 known deaths; 82% occurred before ART initiation or with unknown ART initiation status. Men [rate ratio (RR) 1.3, 95% confidence interval (CI) 1.1–1.5] and subjects without an HIV-infected family member/friend (RR 1.3, 95% CI 1.1–1.7) were more likely not to start ART. Conclusion Less than half of ART-eligible subjects started ART within 12 months. Substantial attrition and mortality follow HIV diagnosis before ART initiation in Durban, South Africa. Major efforts directed towards earlier HIV diagnosis, effective linkage to care and timely ART initiation are urgently needed.

Based on data from West Africa, Elena Losina and colleagues predict that interventions to reduce dropout rates from HIV treatment programs (such as eliminating copayments) will be cost-effective.

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