Dataset Information

Outcomes of patients lost to follow-up after antiretroviral therapy initiation in rural north-eastern South Africa.

ABSTRACT:

Objective

The vital status of patients lost to follow-up often remains unknown in antiretroviral therapy (ART) programmes in sub-Saharan Africa because medical records are no longer updated once the patient disengages from care. Thus, we aimed to assess the outcomes of patients lost to follow-up after ART initiation in north-eastern South Africa.

Methods

Using data from a rural area in north-eastern South Africa, we estimated the cumulative incidence of patient outcomes (i) after treatment initiation using clinical records, and (ii) after loss to follow-up (LTFU) using data from clients that have been individually linked to Agincourt Health and Demographic Surveillance System (AHDSS) database. Aside from LTFU, we considered mortality, re-engagement and migration out of the study site. Cox proportional hazards regression was used to identify covariates of these patient outcomes.

Results

Between April 2014 and July 2017, 3700 patients initiated ART and contributed a total of 6818 person-years of follow-up time. Three years after ART initiation, clinical record-based estimates of LTFU, mortality and documented transfers were 41.0% (95% CI: 38.5-43.4%), 1.9% (95% CI 1.0-3.2%) and 0.1% (95% CI 0.0-0.9%), respectively. Among those who were LTFU, the cumulative incidence of re-engagement, out-migration and mortality at 3 years were 38.1% (95% CI 33.1-43.0%), 49.4% (95% CI 43.1-55.3%) and 4.7% (95% CI 3.5-6.2%), respectively. Pregnant or breastfeeding women, foreigners and those who initiated ART most recently were at an increased risk of LTFU.

Conclusion

LTFU among patients starting ART in north-eastern South Africa is relatively high and has increased in recent years as more asymptomatic patients have initiated treatment. Even though this tendency is of concern in light of the prevention of onwards transmission, we also found that re-engagement in care is common and mortality among persons LTFU relatively low.

SUBMITTER: Ambia J

PROVIDER: S-EPMC6563456 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature

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Publications

Outcomes of patients lost to follow-up after antiretroviral therapy initiation in rural north-eastern South Africa.

Ambia Julie J Kabudula Chodziwadziwa C Risher Kathryn K Xavier Gómez-Olivé Francesc F Rice Brian D BD Etoori David D Reniers Georges G

Tropical medicine & international health : TM & IH 20190409 6

<h4>Objective</h4>The vital status of patients lost to follow-up often remains unknown in antiretroviral therapy (ART) programmes in sub-Saharan Africa because medical records are no longer updated once the patient disengages from care. Thus, we aimed to assess the outcomes of patients lost to follow-up after ART initiation in north-eastern South Africa.<h4>Methods</h4>Using data from a rural area in north-eastern South Africa, we estimated the cumulative incidence of patient outcomes (i) after ...[more]

PMID: 30920699

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Project description:BackgroundIt is known that 'drop out' from human immunodeficiency virus (HIV) treatment, the so called lost-to-follow-up (LTFU) occurs to persons enrolled in HIV care services. However, in sub-Saharan Africa (SSA), the risk factors for the LTFU are not well understood.MethodsWe performed a systematic review and meta-analysis of risk factors for LTFU among adults living with HIV in SSA. A systematic search of literature using identified keywords and index terms was conducted across five databases: MEDLINE, PubMed, CINAHL, Scopus, and Web of Science. We included quantitative studies published in English from 2002 to 2019. The Joanna Briggs Institute Meta-Analysis of Statistics Assessment and Review Instrument (JBI-MAStARI) was used for methodological validity assessment and data extraction. Mantel Haenszel method using Revman-5 software was used for meta-analysis. We demonstrated the meta-analytic measure of association using pooled odds ratio (OR), 95% confidence interval (CI) and heterogeneity using I2 tests.ResultsThirty studies met the search criteria and were included in the meta-analysis. Predictors of LTFU were: demographic factors including being: (i) a male (OR = 1.2, 95% CI 1.1-1.3, I2 = 59%), (ii) between 15 and 35 years old (OR = 1.3, 95% CI 1.1-1.3, I2 = 0%), (iii) unmarried (OR = 1.2, 95% CI 1.2-1.3, I2 = 21%), (iv) a rural dweller (OR = 2.01, 95% CI 1.5-2.7, I2 = 40%), (v) unemployed (OR = 1.2, 95% CI 1.04-1.4, I2 = 58%); (vi) diagnosed with behavioral factors including illegal drug use(OR = 13.5, 95% CI 7.2-25.5, I2 = 60%), alcohol drinking (OR = 2.9, 95% CI 1.9-4.4, I2 = 39%), and tobacco smoking (OR = 2.6, 95% CI 1.6-4.3, I2 = 74%); and clinical diagnosis of mental illness (OR = 3.4, 95% CI 2.2-5.2, I2 = 1%), bed ridden or ambulatory functional status (OR = 2.2, 95% CI 1.5-3.1, I2 = 74%), low CD4 count in the last visit (OR = 1.4, 95% CI 1.1-1.9, I2 = 75%), tuberculosis co-infection (OR = 1.2, 95% CI 1.02-1.4, I2 = 66%) and a history of opportunistic infections (OR = 2.5, 95% CI 1.7-2.8, I2 = 75%).ConclusionsThe current review identifies demographic, behavioral and clinical factors to be determinants of LTFU. We recommend strengthening of HIV care services in SSA targeting the aforementioned group of patients. Trial registration Protocol: the PROSPERO Registration Number is CRD42018114418.

Project description:ObjectivesWe assessed cumulative incidence rates of and factors associated with re-engagement in HIV care for PLHIV lost to follow-up in Mali.MethodsHIV-1-infected individuals lost to follow-up before 31/12/2013, ≥ 18 years old, who started ART from 2006 to 2012 at one of 16 care centres were considered. Loss to follow-up (LTFU) was defined as an interruption of ≥ 6 months during follow-up. The re-engagement in care in PLHIV lost to follow-up before 31/12/2013 was defined as having at least one clinical visit after LTFU. The cumulative incidence rates of re-engagement in care was estimated by Kaplan-Meier and its predictive factors were assessed using Cox models. Socio-demographic characteristics, clinical and immune status, period, region, centre expertise level, and distance from home at the start of ART plus a combined variable of duration of ART until LTFU and 12-month change in CD4 count were assessed. Multiple imputation was used to deal with missing data.ResultsWe included 3,650 PLHIV lost to follow-up before December 2013, starting ART in nine outpatient clinics and seven hospitals (5+2 in Bamako and 4+5 in other regions): 35% male, median (IQR) age 35 (29-43), and duration of ART until LTFU 11 months (5-22). Among these PLHIV, 1,975 (54%) were definitively LTFU and 1,675 (46%) subsequently returned to care. The cumulative incidence rates of re-engagement in care rose from 39.0% at one year to 47.0% at three years after LTFU. Predictors of re-engagement in care were starting ART with WHO stage 1-2 and CD4 counts ≥ 200 cells/μL, being treated for ≥ 12 months with CD4 count gain ≥ 50 cells/μL, or being followed in Bamako. People followed at regional hospitals or outpatient clinics ≥ 5 km away, or being treated for ≥ 12 months with CD4 count gain < 50 cells/μL were less likely to return to care.ConclusionsStarting ART with a higher CD4 count, better gain in CD4 count, and being followed either in Bamako or close to home in the regions were associated with re-engagement in care.

Dataset Information

Outcomes of patients lost to follow-up after antiretroviral therapy initiation in rural north-eastern South Africa.

Objective

Methods

Results

Conclusion

Publications

Outcomes of patients lost to follow-up after antiretroviral therapy initiation in rural north-eastern South Africa.

Similar Datasets

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