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Development of an Electronic Medical Record Based Alert for Risk of HIV Treatment Failure in a Low-Resource Setting

BACKGROUND: The 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. METHODS: A...

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Autores principales: Puttkammer, Nancy, Zeliadt, Steven, Balan, Jean Gabriel, Baseman, Janet, Destiné, Rodney, Domerçant, Jean Wysler, France, Garilus, Hyppolite, Nathaelf, Pelletier, Valérie, Raphael, Nernst Atwood, Sherr, Kenneth, Yuhas, Krista, Barnhart, Scott
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4229190/
https://www.ncbi.nlm.nih.gov/pubmed/25390044
http://dx.doi.org/10.1371/journal.pone.0112261
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author Puttkammer, Nancy
Zeliadt, Steven
Balan, Jean Gabriel
Baseman, Janet
Destiné, Rodney
Domerçant, Jean Wysler
France, Garilus
Hyppolite, Nathaelf
Pelletier, Valérie
Raphael, Nernst Atwood
Sherr, Kenneth
Yuhas, Krista
Barnhart, Scott
author_facet Puttkammer, Nancy
Zeliadt, Steven
Balan, Jean Gabriel
Baseman, Janet
Destiné, Rodney
Domerçant, Jean Wysler
France, Garilus
Hyppolite, Nathaelf
Pelletier, Valérie
Raphael, Nernst Atwood
Sherr, Kenneth
Yuhas, Krista
Barnhart, Scott
author_sort Puttkammer, Nancy
collection PubMed
description BACKGROUND: The 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. METHODS: Among 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. RESULTS: Among 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. CONCLUSIONS: Pharmacy 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.
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spelling pubmed-42291902014-11-18 Development of an Electronic Medical Record Based Alert for Risk of HIV Treatment Failure in a Low-Resource Setting Puttkammer, Nancy Zeliadt, Steven Balan, Jean Gabriel Baseman, Janet Destiné, Rodney Domerçant, Jean Wysler France, Garilus Hyppolite, Nathaelf Pelletier, Valérie Raphael, Nernst Atwood Sherr, Kenneth Yuhas, Krista Barnhart, Scott PLoS One Research Article BACKGROUND: The 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. METHODS: Among 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. RESULTS: Among 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. CONCLUSIONS: Pharmacy 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. Public Library of Science 2014-11-12 /pmc/articles/PMC4229190/ /pubmed/25390044 http://dx.doi.org/10.1371/journal.pone.0112261 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration, which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose.
spellingShingle Research Article
Puttkammer, Nancy
Zeliadt, Steven
Balan, Jean Gabriel
Baseman, Janet
Destiné, Rodney
Domerçant, Jean Wysler
France, Garilus
Hyppolite, Nathaelf
Pelletier, Valérie
Raphael, Nernst Atwood
Sherr, Kenneth
Yuhas, Krista
Barnhart, Scott
Development of an Electronic Medical Record Based Alert for Risk of HIV Treatment Failure in a Low-Resource Setting
title Development of an Electronic Medical Record Based Alert for Risk of HIV Treatment Failure in a Low-Resource Setting
title_full Development of an Electronic Medical Record Based Alert for Risk of HIV Treatment Failure in a Low-Resource Setting
title_fullStr Development of an Electronic Medical Record Based Alert for Risk of HIV Treatment Failure in a Low-Resource Setting
title_full_unstemmed Development of an Electronic Medical Record Based Alert for Risk of HIV Treatment Failure in a Low-Resource Setting
title_short Development of an Electronic Medical Record Based Alert for Risk of HIV Treatment Failure in a Low-Resource Setting
title_sort development of an electronic medical record based alert for risk of hiv treatment failure in a low-resource setting
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4229190/
https://www.ncbi.nlm.nih.gov/pubmed/25390044
http://dx.doi.org/10.1371/journal.pone.0112261
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