Evidence map›Paper›PMID 26485172›Full record

ArticleTropical medicine & international health : TM & IH2016

Variation in attrition at subnational level: review of the Botswana National HIV/AIDS Treatment (Masa) programme data (2002-2013).

Mansour Farahani, Natalie Price, Shenaaz El-Halabi, Naledi Mlaudzi, Koona Keapoletswe, Refeletswe Lebelonyane, Ernest Benny Fetogang, Tony Chebani, Poloko Kebaabetswe, Tiny Masupe and 4 more

Abstract read
In one paragraph

Article in Tropical medicine & international health : TM & IH, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

14 authors.

Mansour FarahaniHarvard T.H. Chan School of Public Health, Boston, MA, USA.
Natalie PriceHarvard T.H. Chan School of Public Health, Boston, MA, USA.
Shenaaz El-HalabiMinistry of Health, Gaborone, Botswana.
Naledi MlaudziMinistry of Health, Gaborone, Botswana.
Koona KeapoletsweMinistry of Health, Gaborone, Botswana.
Refeletswe LebelonyaneMinistry of Health, Gaborone, Botswana.
Ernest Benny FetogangMinistry of Health, Gaborone, Botswana.
Tony ChebaniMinistry of Health, Gaborone, Botswana.
Poloko KebaabetsweUniversity of Botswana, Gaborone, Botswana.
Tiny MasupeUniversity of Botswana, Gaborone, Botswana.
Keba GabaakeUniversity of Botswana, Gaborone, Botswana.
Andrew AuldCenters for Disease Control and Prevention, Atlanta, GA, USA.
Oathokwa NkomazanaUniversity of Botswana, Gaborone, Botswana.
Richard MarlinkHarvard T.H. Chan School of Public Health, Boston, MA, USA.

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

objectiveTo evaluate the variation in all-cause attrition [mortality and loss to follow-up (LTFU)] among HIV-infected individuals in Botswana by health district during the rapid and massive scale-up of the National Treatment Program.

methodsAnalysis of routinely collected longitudinal data from 226 030 patients who received ART through the Botswana National HIV/AIDS Treatment Program across all 24 health districts from 2002 to 2013. A time-to-event analysis was used to measure crude mortality and loss to follow-up rates (LTFU). A marginal structural model was used to evaluate mortality and LTFU rates by district over time, adjusted for individual-level risk factors (e.g. age, gender, baseline CD4, year of treatment initiation and antiretroviral regimen).

resultsMortality rates in the districts ranged from the lowest 1.0 (95% CI 0.9-1.1) in Selibe-Phikwe, to the highest 5.0 (95% CI 4.0-6.1), in Mabutsane. There was a wide range of overall LTFU across districts, including rates as low as 4.6 (95% CI 4.4-4.9) losses per 100 person-years in Ngamiland, and 5.9 (95% CI 5.6-6.2) losses per 100 person-years in South East district, to rates as high as 25.4 (95% CI 23.08-27.89) losses per 100 person-years in Mabutsane and 46.3 (95% CI 43.48-49.23) losses per 100 person-years in Okavango. Even when known risk factors for mortality and LTFU were adjusted for, district was a significant predictor of both mortality and LTFU rates.

conclusionWe found statistically significant variation in attrition (mortality and LTFU) and data quality among districts. These findings suggest that district-level contextual factors affect retention in treatment. Further research needs to investigate factors that can potentially cause this variation.

Indexed as

abandonoantiretroviral therapyà plusieurs niveauxARTattritionBotswanaHIVmarginal structural modelmodèle structurel marginalmodelo estructural marginalmultilevelmultinivelTARVIH

Identifiers

PMID26485172
PMCPMC4834839

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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.