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Better adherence to pre-antiretroviral therapy guidelines after implementing an electronic medical record system in rural Kenyan HIV clinics: a multicenter pre–post study()

INTRODUCTION: The monitoring of pre-antiretroviral therapy (pre-ART) is a key indicator of HIV quality of care. This study investigated the association of an electronic medical record system (EMR) with adherence to pre-ART guidelines in rural HIV clinics in Kenya. METHODS: A retrospective study was...

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Autores principales: Oluoch, Tom, Kwaro, Daniel, Ssempijja, Victor, Katana, Abraham, Langat, Patrick, Okeyo, Nicky, Abu-Hanna, Ameen, de Keizer, Nicolette
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4987124/
https://www.ncbi.nlm.nih.gov/pubmed/25281905
http://dx.doi.org/10.1016/j.ijid.2014.06.004
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author Oluoch, Tom
Kwaro, Daniel
Ssempijja, Victor
Katana, Abraham
Langat, Patrick
Okeyo, Nicky
Abu-Hanna, Ameen
de Keizer, Nicolette
author_facet Oluoch, Tom
Kwaro, Daniel
Ssempijja, Victor
Katana, Abraham
Langat, Patrick
Okeyo, Nicky
Abu-Hanna, Ameen
de Keizer, Nicolette
author_sort Oluoch, Tom
collection PubMed
description INTRODUCTION: The monitoring of pre-antiretroviral therapy (pre-ART) is a key indicator of HIV quality of care. This study investigated the association of an electronic medical record system (EMR) with adherence to pre-ART guidelines in rural HIV clinics in Kenya. METHODS: A retrospective study was carried out to assess the quality of pre-ART care using three indicators: (1) the performance of a baseline CD4 test, (2) time from enrollment in care to first CD4 test, and (3) time from baseline CD4 to second CD4 test. A comparison of these indicators was made pre and post the introduction of an EMR system in 17 rural HIV clinics. RESULTS: A total of 18 523 patients were receiving pre-ART care, of whom 38.8% in the paper group had had at least one CD4 test compared to 53.4% in the EMR group (p < 0.001). The adjusted odds of performing a CD4 test in clinics using an EMR was 1.59 (95% confidence interval 1.49–1.69). The median time from enrolment into HIV care to first CD4 test was 1.40 months (interquartile range (IQR) 0.47–4.87) for paper vs. 0.93 months (IQR 0.43–3.37) for EMR. The median time from baseline to first CD4 follow-up was 7.5 months (IQR 5.97–10.73) for paper and 6.53 months (IQR 5.57–7.87) for EMR. CONCLUSION: The use of the EMR system was associated with better compliance to HIV guidelines for pre-ART care. EMRs have a potential positive impact on quality of care for HIV patients in resource-constrained settings.
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spelling pubmed-49871242016-08-16 Better adherence to pre-antiretroviral therapy guidelines after implementing an electronic medical record system in rural Kenyan HIV clinics: a multicenter pre–post study() Oluoch, Tom Kwaro, Daniel Ssempijja, Victor Katana, Abraham Langat, Patrick Okeyo, Nicky Abu-Hanna, Ameen de Keizer, Nicolette Int J Infect Dis Article INTRODUCTION: The monitoring of pre-antiretroviral therapy (pre-ART) is a key indicator of HIV quality of care. This study investigated the association of an electronic medical record system (EMR) with adherence to pre-ART guidelines in rural HIV clinics in Kenya. METHODS: A retrospective study was carried out to assess the quality of pre-ART care using three indicators: (1) the performance of a baseline CD4 test, (2) time from enrollment in care to first CD4 test, and (3) time from baseline CD4 to second CD4 test. A comparison of these indicators was made pre and post the introduction of an EMR system in 17 rural HIV clinics. RESULTS: A total of 18 523 patients were receiving pre-ART care, of whom 38.8% in the paper group had had at least one CD4 test compared to 53.4% in the EMR group (p < 0.001). The adjusted odds of performing a CD4 test in clinics using an EMR was 1.59 (95% confidence interval 1.49–1.69). The median time from enrolment into HIV care to first CD4 test was 1.40 months (interquartile range (IQR) 0.47–4.87) for paper vs. 0.93 months (IQR 0.43–3.37) for EMR. The median time from baseline to first CD4 follow-up was 7.5 months (IQR 5.97–10.73) for paper and 6.53 months (IQR 5.57–7.87) for EMR. CONCLUSION: The use of the EMR system was associated with better compliance to HIV guidelines for pre-ART care. EMRs have a potential positive impact on quality of care for HIV patients in resource-constrained settings. 2014-10-02 2015-04 /pmc/articles/PMC4987124/ /pubmed/25281905 http://dx.doi.org/10.1016/j.ijid.2014.06.004 Text en This is an open access article under the CC BY-NC-SA license (http://creativecommons.org/licenses/by-nc-sa/3.0/)
spellingShingle Article
Oluoch, Tom
Kwaro, Daniel
Ssempijja, Victor
Katana, Abraham
Langat, Patrick
Okeyo, Nicky
Abu-Hanna, Ameen
de Keizer, Nicolette
Better adherence to pre-antiretroviral therapy guidelines after implementing an electronic medical record system in rural Kenyan HIV clinics: a multicenter pre–post study()
title Better adherence to pre-antiretroviral therapy guidelines after implementing an electronic medical record system in rural Kenyan HIV clinics: a multicenter pre–post study()
title_full Better adherence to pre-antiretroviral therapy guidelines after implementing an electronic medical record system in rural Kenyan HIV clinics: a multicenter pre–post study()
title_fullStr Better adherence to pre-antiretroviral therapy guidelines after implementing an electronic medical record system in rural Kenyan HIV clinics: a multicenter pre–post study()
title_full_unstemmed Better adherence to pre-antiretroviral therapy guidelines after implementing an electronic medical record system in rural Kenyan HIV clinics: a multicenter pre–post study()
title_short Better adherence to pre-antiretroviral therapy guidelines after implementing an electronic medical record system in rural Kenyan HIV clinics: a multicenter pre–post study()
title_sort better adherence to pre-antiretroviral therapy guidelines after implementing an electronic medical record system in rural kenyan hiv clinics: a multicenter pre–post study()
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4987124/
https://www.ncbi.nlm.nih.gov/pubmed/25281905
http://dx.doi.org/10.1016/j.ijid.2014.06.004
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