Evidence map›Paper›PMID 25390044›Full record

ArticlePloS one2014

Development of an electronic medical record based alert for risk of HIV treatment failure in a low-resource setting.

Nancy Puttkammer, Steven Zeliadt, Jean Gabriel Balan, Janet Baseman, Rodney Destiné, Jean Wysler Domerçant, Garilus France, Nathaelf Hyppolite, Valérie Pelletier, Nernst Atwood Raphael and 3 more

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

13 authors.

Nancy PuttkammerInternational Training and Education Center for Health, Department of Global Health, University of Washington, Seattle, Washington, United States of America; Department of Health Services, University of Washington, Seattle, Washington, United States of America.
Steven ZeliadtDepartment of Health Services, University of Washington, Seattle, Washington, United States of America.
Jean Gabriel BalanInternational Training and Education Center for Health-Haiti, Port-au-Prince, Haiti.
Janet BasemanDepartment of Epidemiology, University of Washington, Seattle, Washington, United States of America.
Rodney DestinéInternational Training and Education Center for Health-Haiti, Port-au-Prince, Haiti.
Jean Wysler DomerçantDivision of Global HIV/AIDS, Centers for Disease Control and Prevention, Port-au-Prince, Haiti.
Garilus FrancePopulation Division, Ministry of Public Health and Population, Port-au-Prince, Haiti.
Nathaelf HyppoliteInternational Training and Education Center for Health-Haiti, Port-au-Prince, Haiti.
Valérie PelletierDivision of Global HIV/AIDS, Centers for Disease Control and Prevention, Port-au-Prince, Haiti.
Nernst Atwood RaphaelInternational Training and Education Center for Health-Haiti, Port-au-Prince, Haiti.
Kenneth SherrHealth Alliance International, Department of Global Health, University of Washington, Seattle, Washington, United States of America.
Krista YuhasCenter for AIDS Research, Department of Global Health, University of Washington, Seattle, Washington, United States of America.
Scott BarnhartInternational Training and Education Center for Health, Department of Global Health, University of Washington, Seattle, Washington, United States of America; Department of Medicine, University of Washington, Seattle, Washington, United States of America.

Funding

University of Washington/Fred Hutch Center for AIDS ResearchP30AI027757 · NIAID · UNIVERSITY OF WASHINGTON · PI Kenneth Sherr · 1988 to 2026
$104.9M
CGH CDC HHS U2G GH000549NIAID NIH HHS P30 AI027757NIAID NIH HHS P30AI027757PEPFARPHS HHS 5U2GGH000549-03PHS HHS U91HA0680
6 · The paper itself

Abstract

backgroundThe adoption of electronic medical record systems in resource-limited settings can help clinicians monitor patients' adherence to HIV antiretroviral therapy (ART) and identify patients at risk of future ART failure, allowing resources to be targeted to those most at risk.

methodsAmong adult patients enrolled on ART from 2005-2013 at two large, public-sector hospitals in Haiti, ART failure was assessed after 6-12 months on treatment, based on the World Health Organization's immunologic and clinical criteria. We identified models for predicting ART failure based on ART adherence measures and other patient characteristics. We assessed performance of candidate models using area under the receiver operating curve, and validated results using a randomly-split data sample. The selected prediction model was used to generate a risk score, and its ability to differentiate ART failure risk over a 42-month follow-up period was tested using stratified Kaplan Meier survival curves.

resultsAmong 923 patients with CD4 results available during the period 6-12 months after ART initiation, 196 (21.2%) met ART failure criteria. The pharmacy-based proportion of days covered (PDC) measure performed best among five possible ART adherence measures at predicting ART failure. Average PDC during the first 6 months on ART was 79.0% among cases of ART failure and 88.6% among cases of non-failure (p<0.01). When additional information including sex, baseline CD4, and duration of enrollment in HIV care prior to ART initiation were added to PDC, the risk score differentiated between those who did and did not meet failure criteria over 42 months following ART initiation.

conclusionsPharmacy data are most useful for new ART adherence alerts within iSanté. Such alerts offer potential to help clinicians identify patients at high risk of ART failure so that they can be targeted with adherence support interventions, before ART failure occurs.

Indexed as

Electronic Health RecordsAdolescentAdultAnti-HIV AgentsArea Under CurveCD4 Lymphocyte CountCohort StudiesFemaleHealth ResourcesHIV InfectionsHumansMaleMiddle AgedPatient ComplianceRiskROC CurveAnti-HIV Agents

Identifiers

PMID25390044
PMCPMC4229190

What OpenQuestion holds

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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.