Evidence map›Paper›PMID 36962073›Full record

ArticlePLOS global public health2021

Incidence and predictors of attrition among patients receiving ART in eastern Zimbabwe before, and after the introduction of universal 'treat-all' policies: A competing risk analysis.

Malebogo Tlhajoane, Freedom Dzamatira, Noah Kadzura, Constance Nyamukapa, Jeffrey W Eaton, Simon Gregson

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Article in PLOS global public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 pooled it
–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, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
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

6 authors.

Malebogo TlhajoaneDepartment for Infectious Disease Epidemiology, Imperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0002-0601-5516
Freedom DzamatiraBiomedical Research and Training Institute, Harare, Zimbabwe.
Noah KadzuraBiomedical Research and Training Institute, Harare, Zimbabwe.
Constance NyamukapaDepartment for Infectious Disease Epidemiology, Imperial College London, London, United Kingdom.
Jeffrey W EatonDepartment for Infectious Disease Epidemiology, Imperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0001-7728-728X
Simon GregsonDepartment for Infectious Disease Epidemiology, Imperial College London, London, United Kingdom.

Funding

Medical Research Council MR/R015600/1
6 · The paper itself

Abstract

As HIV treatment is expanded, attention is focused on minimizing attrition from care. We evaluated the impact of treat-all policies on the incidence and determinants of attrition amongst clients receiving ART in eastern Zimbabwe. Data were retrospectively collected from the medical records of adult patients (aged≥18 years) enrolled into care from July 2015 to June 2016-pre-treat-all era, and July 2016 to June 2017-treat-all era, selected from 12 purposively sampled health facilities. Attrition was defined as an absence from care >90 days following ART initiation. Survival-time methods were used to derive incidence rates (IRs), and competing risk regression used in bivariate and multivariable modelling. In total, 829 patients had newly initiated ART and were included in the analysis (pre-treat-all 30.6%; treat-all 69.4%). Incidence of attrition (per 1000 person-days) increased between the two time periods (pre-treat-all IR = 1.18 (95%CI: 0.90-1.56) versus treat-all period IR = 1.62 (95%CI: 1.37-1.91)). In crude analysis, patients at increased risk of attrition were those enrolled into care during the treat-all period, <34 years of age, WHO stage I at enrolment, and had initiated ART on the same day as HIV diagnosis. After accounting for mediating clinical characteristics, the difference in attrition between the pre-treat-all, and treat-all periods ceased to be statistically significant. In a full multivariable model, attrition was significantly higher amongst same-day ART initiates (aSHR = 1.47, 95%CI:1.05-2.06). Implementation of treat-all policies was associated with an increased incidence of ART attrition, driven largely by ART initiation on the same day as HIV diagnosis which increased significantly in the treat all period. Differentiated adherence counselling for patients at increased risk of attrition, and improved access to clinical monitoring may improve retention in care.

Identifiers

PMID36962073
PMCPMC10021537

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