Evidence map›Paper›PMID 40698878›Full record

ArticleJournal of the International AIDS Society2023

Long-term usage patterns and clinical outcomes in a community-based differentiated antiretroviral therapy delivery programme in South Africa.

Lara Lewis, Yukteshwar Sookrajh, Johan van der Molen, Thokozani Khubone, Munthra Maraj, Phelelani Sosibo, Rose van Heerden, Francesca Little, Reshma Kassanjee, Nigel Garrett and 1 more

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Article in Journal of the International AIDS Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Trial
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  5. Observational
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Lara LewisCentre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, Durban, South Africa.ORCID https://orcid.org/0000-0001-5373-2086
Yukteshwar SookrajheThekwini Municipality Health Unit, eThekwini Municipality, Durban, South Africa.
Johan van der MolenCentre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, Durban, South Africa.
Thokozani KhuboneeThekwini Municipality Health Unit, eThekwini Municipality, Durban, South Africa.
Munthra MarajeThekwini Municipality Health Unit, eThekwini Municipality, Durban, South Africa.
Phelelani SosiboeThekwini Municipality Health Unit, eThekwini Municipality, Durban, South Africa.
Rose van HeerdeneThekwini Municipality Health Unit, eThekwini Municipality, Durban, South Africa.
Francesca LittleDepartment of Statistical Sciences, University of Cape Town, Cape Town, South Africa.
Reshma KassanjeeCentre for Infectious Disease Epidemiology and Research, School of Public Health, University of Cape Town, Cape Town, South Africa.ORCID https://orcid.org/0000-0002-1200-8726
Nigel GarrettCentre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, Durban, South Africa.
Jienchi DorwardCentre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, Durban, South Africa.ORCID https://orcid.org/0000-0001-6072-1430

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThere is little data on long-term implementation and outcomes for people living with HIV (PLHIV) in differentiated antiretroviral therapy (ART) delivery programmes. We aimed to analyse usage patterns of and associated treatment outcomes in a community ART programme, within the Centralized Chronic Medicines Dispensing and Distribution programme, in South Africa over 3.5 years.

methodsWe performed a retrospective cohort study among PLHIV on first-line ART who were eligible for community ART delivery between October 2016 and March 2019, from 56 urban clinics in KwaZulu-Natal, South Africa. Follow-up ended in March 2020. We measured referral rates and, among those referred, we characterized patterns of community ART usage using group-based trajectory modelling following referral. We used survival analysis to measure the association between community ART usage and loss-to-care (no visit for ≥365 days) and logistic regression to measure the association between community ART usage and viraemia (≥50 copies/ml).

resultsAmong the 80,801 patients eligible for community ART, the median age was 36 years, 69.8% were female and the median (interquartile range [IQR]) follow-up time was 22 (13-31) months. In total, 49,961 (61.8%) were referred after a median of 6 (IQR 2-13) months from first eligibility. After referral, time spent in community ART varied; 42% remained consistently in community ART, 15% returned to consistent clinic-based care and the remaining 43% oscillated between community ART and clinic-based care. Following referral, the incidence of loss-to-care was 3.93 (95% confidence interval [CI]: 3.71-4.15) per 100 person-years during periods of community ART usage compared to 5.75 (95% CI: 5.28-6.25) during clinic-based care. In multivariable models, community ART usage was associated with a 36% reduction in the hazards of loss-to-care (adjusted hazard ratio: 0.64 [95% CI: 0.57-0.72]). The proportion of patients who became viraemic after first community ART referral was 5.2% and a 10% increase in time in community ART was associated with a 3% reduction in odds of viraemia (adjusted odds ratio: 0.97 [95% CI: 0.95-0.99]).

conclusionsCommunity ART usage patterns vary considerably, while clinical outcomes were good. Promoting consistent community ART usage may reduce clinic burden and the likelihood of patients being lost to care, while sustaining viral suppression.

Indexed as

antiretroviral therapycohort studiesdifferentiated careHIV care continuumretentionviral suppression

Identifiers

PMID40698878
PMCPMC10354003

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.