Evidence map›Paper›PMID 33075094›Full record

ArticlePloS one2020

Patient-mix, programmatic characteristics, retention and predictors of attrition among patients starting antiretroviral therapy (ART) before and after the implementation of HIV "Treat All" in Zimbabwe.

Richard Makurumidze, Jozefien Buyze, Tom Decroo, Lutgarde Lynen, Madelon de Rooij, Trevor Mataranyika, Ngwarai Sithole, Kudakwashe C Takarinda, Tsitsi Apollo, James Hakim and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
0.7field-weighted citation impact, top 18% of its field
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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 29 citations in OpenAlex.

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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

12 authors at 4 institutions in 3 countries.

Richard MakurumidzeCollege of Health Sciences, University of Zimbabwe, Harare, Zimbabwe.ORCID 0000-0001-6490-1818
Jozefien BuyzeInstitute of Tropical Medicine, Antwerp, Belgium.
Tom DecrooInstitute of Tropical Medicine, Antwerp, Belgium.
Lutgarde LynenInstitute of Tropical Medicine, Antwerp, Belgium.
Madelon de RooijCollege of Health Sciences, University of Zimbabwe, Harare, Zimbabwe.
Trevor MataranyikaAIDS & TB Unit, Ministry of Health & Child Care, Harare, Zimbabwe.
Ngwarai SitholeAIDS & TB Unit, Ministry of Health & Child Care, Harare, Zimbabwe.
Kudakwashe C TakarindaAIDS & TB Unit, Ministry of Health & Child Care, Harare, Zimbabwe.
Tsitsi ApolloAIDS & TB Unit, Ministry of Health & Child Care, Harare, Zimbabwe.
James HakimCollege of Health Sciences, University of Zimbabwe, Harare, Zimbabwe.
Wim Van DammeInstitute of Tropical Medicine, Antwerp, Belgium.
Simbarashe RusakanikoCollege of Health Sciences, University of Zimbabwe, Harare, Zimbabwe.
Ministry of Health and Child Welfare · ZWUniversity of Zimbabwe · ZWInstituut voor Tropische Geneeskunde · BEResearch Foundation - Flanders · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSince the scale-up of the HIV "Treat All" recommendation, evidence on its real-world effect on predictors of attrition (either death or lost to follow-up) is lacking. We conducted a retrospective study using Zimbabwe ART program data to assess the association between "Treat All" and, patient-mix, programmatic characteristics, retention and predictors of attrition.

methodsWe used patient-level data from the electronic patient monitoring system (ePMS) from the nine districts, which piloted the "Treat All" recommendation. We compared patient-mix, programme characteristics, retention and predictors of attrition (lost to follow-up, death or stopping ART) in two cohorts; before (April/May 2016) and after (January/February 2017) "Treat All". Retention was estimated using survival analysis. Predictors of attrition were determined using a multivariable Cox regression model. Interactions were used to assess the change in predictors of attrition before and after "Treat All".

resultsWe analysed 3787 patients, 1738 (45.9%) and 2049 (54.1%) started ART before and after "Treat All", respectively. The proportion of men was higher after "Treat All" (39.4.% vs 36.2%, p = 0.044). Same-day ART initiation was more frequent after "Treat All" (43.2% vs 16.4%; p<0.001) than before. Retention on ART was higher before "Treat All" (p<0.001). Among non-pregnant women and men, the adjusted hazard ratio (aHR) of attrition after compared to before "Treat All" was 1.73 (95%CI: 1.30-2.31). The observed hazard of attrition for women being pregnant at ART initiation decreased by 17% (aHR: 1.73*0.48 = 0.83) after "Treat All". Being male (vs female; aHR: 1.45; 95%CI: 1.12-1.87) and WHO Stage IV (vs WHO Stage I-III; aHR: 2.89; 95%CI: 1.16-7.11) predicted attrition both before and after "Treat All" implementation.

conclusionAttrition was higher after "Treat All"; being male, WHO Stage 4, and pregnancy predicted attrition in both before and after Treat All. However, pregnancy became a less strong risk factor for attrition after "Treat All" implementation.

Indexed as

Drug MonitoringAdultAnti-HIV AgentsAntiretroviral Therapy, Highly ActiveCD4 Lymphocyte CountCohort StudiesFemaleHIV InfectionsHumansLost to Follow-UpMalePregnancyProportional Hazards ModelsRetrospective StudiesRisk FactorsSex FactorsAnti-HIV Agents

Identifiers

PMID33075094
PMCPMC7571688
OpenAlexW3092998073

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.