The Causal Effect of Tracing by Peer Health Workers on Return to Clinic Among Patients Who Were Lost to Follow-up From Antiretroviral Therapy in Eastern Africa: A "Natural Experiment" Arising From Surveillance of Lost Patients.

BACKGROUND.: The effect of tracing human immunodeficiency virus (HIV)-infected patients who are lost to follow-up (LTFU) on reengagement has not been rigorously assessed. We carried out an ex post analysis of a surveillance study in which LTFU patients were randomly selected for tracing to identify the effect of tracing on reengagement. METHODS.: We evaluated HIV-infected adults on antiretroviral therapy who were LTFU (>90 days late for last visit) at 14 clinics in Uganda, Kenya, and Tanzania. A random sample of LTFU patients was selected for tracing by peer health workers. We assessed the effect of selection for tracing using Kaplan-Meier estimates of reengagement among all patients as well as the subset of LTFU patients who were alive, contacted in person by the tracer, and out of care. RESULTS.: Of 5781 eligible patients, 991 (17%) were randomly selected for tracing. One year after selection for tracing, 13.3% (95% confidence interval [CI], 11.1%-15.3%) of those selected for tracing returned compared with 10.0% (95% CI, 9.1%-10.8%) of those not randomly selected, an adjusted risk difference of 3.0% (95% CI, .7%-5.3%). Among patients found to be alive, personally contacted, and out of care, tracing increased the absolute probability of return at 1 year by 22% (95% CI, 7.1%-36.2%). The effect of tracing on rate of return to clinic decayed with a half-life of 7.0 days after tracing (95% CI, 2.6 %-12.9%). CONCLUSIONS.: Tracing interventions increase reengagement, but developing methods for targeting LTFU patients most likely to benefit can make this practice more efficient.

Patient-reported factors associated with reengagement among HIV-infected patients disengaged from care in East Africa.

OBJECTIVE: Engagement in care is key to successful HIV treatment in resource-limited settings; yet little is known about the magnitude and determinants of reengagement among patients out of care. We assessed patient-reported reasons for not returning to clinic, identified latent variables underlying these reasons, and examined their influence on subsequent care reengagement. DESIGN: We used data from the East Africa International Epidemiologic Databases to Evaluate AIDS to identify a cohort of patients disengaged from care (>3 months late for last appointment, reporting no HIV care in preceding 3 months) (n = 430) who were interviewed about reasons why they stopped care. Among the 399 patients for whom follow-up data were available, 104 returned to clinic within a median observation time of 273 days (interquartile range: 165-325). METHODS: We conducted exploratory and confirmatory factor analyses (EFA, CFA) to identify latent variables underlying patient-reported reasons, then used these factors as predictors of time to clinic return in adjusted Cox regression models. RESULTS: EFA and CFA findings suggested a six-factor structure that lent coherence to the range of barriers and motivations underlying care disengagement, including poverty, transport costs, and interference with work responsibilities; health system 'failures,' including poor treatment by providers; fearing disclosure of HIV status; feeling healthy; and treatment fatigue/seeking spiritual alternatives to medicine. Factors related to poverty and poor treatment predicted higher rate of return to clinic, whereas the treatment fatigue factor was suggestive of a reduced rate of return. CONCLUSION: Certain barriers to reengagement appear easier to overcome than factors such as treatment fatigue. Further research will be needed to identify the easiest, least expensive interventions to reengage patients lost to HIV care systems. Interpersonal interventions may continue to play an important role in addressing psychological barriers to retention.

Retention in Care and Patient-Reported Reasons for Undocumented Transfer or Stopping Care Among HIV-Infected Patients on Antiretroviral Therapy in Eastern Africa: Application of a Sampling-Based Approach.

BACKGROUND: Improving the implementation of the global response to human immunodeficiency virus requires understanding retention after starting antiretroviral therapy (ART), but loss to follow-up undermines assessment of the magnitude of and reasons for stopping care. METHODS: We evaluated adults starting ART over 2.5 years in 14 clinics in Uganda, Tanzania, and Kenya. We traced a random sample of patients lost to follow-up and incorporated updated information in weighted competing risks estimates of retention. Reasons for nonreturn were surveyed. RESULTS: Among 18 081 patients, 3150 (18%) were lost to follow-up and 579 (18%) were traced. Of 497 (86%) with ascertained vital status, 340 (69%) were alive and, in 278 (82%) cases, updated care status was obtained. Among all patients initiating ART, weighted estimates incorporating tracing outcomes found that 2 years after ART, 69% were in care at their original clinic, 14% transferred (4% official and 10% unofficial), 6% were alive but out of care, 6% died in care (<60 days after last visit), and 6% died out of care (≥ 60 days after last visit). Among lost patients found in care elsewhere, structural barriers (eg, transportation) were most prevalent (65%), followed by clinic-based (eg, waiting times) (33%) and psychosocial (eg, stigma) (27%). Among patients not in care elsewhere, psychosocial barriers were most prevalent (76%), followed by structural (51%) and clinic based (15%). CONCLUSIONS: Accounting for outcomes among those lost to follow-up yields a more informative assessment of retention. Structural barriers contribute most to silent transfers, whereas psychological and social barriers tend to result in longer-term care discontinuation.

Early Tracking after a Missed Return Visit Reduces the Proportion of Untraceable Patients at a Large HIV Clinic in Kampala, Uganda.

To determine the optimal time to track patients, we evaluated the outcomes of patients traced after missing their return visits at 3 periods, 8, 30, or 90 days, at the Infectious Diseases Clinic in Kampala, Uganda. During the study period from January to December 2011, the proportion of untraceable patients was 2 (4%) after 8 days, 12 (10%) after 30 days, and 13 (15%) after 90 days. More than 75% of the patients who died had a CD4 count of <200 cells/mm(3) at their last visit. In conclusion, tracking patients after 1 week of a missed return visit should be the preferred method of tracking. If resources are limited, patients with CD4 counts <200 cells/mm(3) need to be targeted for tracking, as they are most at risk of dying if they interrupt treatment.

Estimation of mortality among HIV-infected people on antiretroviral treatment in East Africa: a sampling based approach in an observational, multisite, cohort study.

BACKGROUND: Mortality in HIV-infected people after initiation of antiretroviral treatment (ART) in resource-limited settings is an important measure of the effectiveness and comparative effectiveness of the global public health response. Substantial loss to follow-up precludes accurate accounting of deaths and limits our understanding of effectiveness. We aimed to provide a better understanding of mortality at scale and, by extension, the effectiveness and comparative effectiveness of public health ART treatment in east Africa. METHODS: In 14 clinics in five settings in Kenya, Uganda, and Tanzania, we intensively traced a sample of patients randomly selected using a random number generator, who were infected with HIV and on ART and who were lost to follow-up (>90 days late for last scheduled visit). We incorporated the vital status outcomes for these patients into analyses of the entire clinic population through probability-weighted survival analyses. FINDINGS: We followed 34 277 adults on ART from Mbarara and Kampala in Uganda, Eldoret, and Kisumu in Kenya, and Morogoro in Tanzania. The median age was 35 years (IQR 30-42), 11 628 (34%) were men, and median CD4 count count before therapy was 154 cells per µL (IQR 70-234). 5780 patients (17%) were lost to follow-up, 991 (17%) were selected for tracing between June 10, 2011, and Aug 27, 2012, and vital status was ascertained for 860 (87%). With incorporation of outcomes from the patients lost to follow-up, estimated 3 year mortality increased from 3·9% (95% CI 3·6-4·2) to 12·5% (11·8-13·3). The sample-corrected, unadjusted 3 year mortality across settings was lowest in Mbarara (7·2%) and highest in Morogoro (23·6%). After adjustment for age, sex, CD4 count before therapy, and WHO stage, the sample-corrected hazard ratio comparing the settings with highest and lowest mortalities was 2·2 (95% CI 1·5-3·4) and the risk difference for death at 3 years was 11% (95% CI 5·0-17·7). INTERPRETATION: A sampling-based approach is widely feasible and important to an understanding of mortality after initiation of ART. After adjustment for measured biological drivers, mortality differs substantially across settings despite delivery of a similar clinical package of treatment. Implementation research to understand the systems, community, and patients' behaviours driving these differences is urgently needed. FUNDING: The US National Institutes of Health and President's Emergency Fund for AIDS Relief.

A pharmacy-only refill program at a large HIV clinic in Uganda: experience and satisfaction of patients.

BACKGROUND: The purpose of this study was to assess patients' experience and satisfaction with pharmacy-only refill program (PRP) and to compare those who were removed from the PRP with those still in the program. METHODS: A sample of 446 patients was selected from 1503 patients on antiretroviral therapy that had been enrolled in the PRP for at least 24 months. The study used interviewer-administered questionnaires to assess patients' experience and satisfaction with PRP. RESULTS: Of the 446 patients, 133 (29.8%) were removed from the PRP. By multivariate analysis, it was found that wanting to see a clinician before their scheduled clinic visit, Christian religion, and not understanding why they were enrolled in PRP were associated with having been removed from the PRP. Patients felt that the greatest benefit from the program was the time that they saved to do other activities. Patients preferred to collect their medication every 3 months instead of every month. CONCLUSION: All patients interviewed scored the program high, and all recommended that the PRP should continue. Stable patients prefer to see clinicians less frequently and visit clinic less often.

Inadequate monitoring in advanced stages of disease with lack of supportive counseling increases attrition among patients on antiretroviral treatment at a large urban clinic in Uganda.

BACKGROUND: The purpose of this case-control study was to identify risk factors for loss to follow-up (LTFU). METHODS: Cases and controls were selected from HIV-positive patients, aged 18 years and older, on antiretroviral therapy (ART) at the Infectious Diseases Clinic (IDC) in January 2008. As cases, we selected 209 patients who in 2008 did not return to the clinic within 90 days of their scheduled appointment date. As controls, we randomly selected 626 patients from the 5872 patients who were following up at the end of December 2008. RESULTS: In multivariable logistic regression analysis, urban or semiurban residence, World Health Organization disease stage III or IV at ART initiation, a median CD4 count at last visit <200 cells/mm(3), tuberculosis (TB) in the 6 months before the last visit, absence of counseling before ART initiation, and no disclosure of HIV status were associated with LTFU. CONCLUSION: This study demonstrates the importance of close patient monitoring in advanced stages of disease, supportive counseling for patients initiating ART, extra psychosocial support for patients with TB and HIV coinfection, assisting patients with disclosure, and setting up a good referral system to retain patients on ART.