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Measuring adherence to antiretroviral treatment in resource-poor settings: The feasibility of collecting routine data for key indicators

BACKGROUND: An East African survey showed that among the few health facilities that measured adherence to antiretroviral therapy, practices and definitions varied widely. We evaluated the feasibility of collecting routine data to standardize adherence measurement using a draft set of indicators. MET...

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Autores principales: Chalker, John C, Andualem, Tenaw, Gitau, Lillian N, Ntaganira, Joseph, Obua, Celestino, Tadeg, Hailu, Waako, Paul, Ross-Degnan, Dennis
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2836318/
https://www.ncbi.nlm.nih.gov/pubmed/20170479
http://dx.doi.org/10.1186/1472-6963-10-43
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author Chalker, John C
Andualem, Tenaw
Gitau, Lillian N
Ntaganira, Joseph
Obua, Celestino
Tadeg, Hailu
Waako, Paul
Ross-Degnan, Dennis
author_facet Chalker, John C
Andualem, Tenaw
Gitau, Lillian N
Ntaganira, Joseph
Obua, Celestino
Tadeg, Hailu
Waako, Paul
Ross-Degnan, Dennis
author_sort Chalker, John C
collection PubMed
description BACKGROUND: An East African survey showed that among the few health facilities that measured adherence to antiretroviral therapy, practices and definitions varied widely. We evaluated the feasibility of collecting routine data to standardize adherence measurement using a draft set of indicators. METHODS: Targeting 20 facilities each in Ethiopia, Kenya, Rwanda, and Uganda, in each facility we interviewed up to 30 patients, examined 100 patient records, and interviewed staff. RESULTS: In 78 facilities, we interviewed a total of 1,631 patients and reviewed 8,282 records. Difficulties in retrieving records prevented data collection in two facilities. Overall, 94.2% of patients reported perfect adherence; dispensed medicine covered 91.1% of days in a six month retrospective period; 13.7% of patients had a gap of more than 30 days in their dispensed medication; 75.8% of patients attended clinic on or before the date of their next appointment; and 87.1% of patients attended within 3 days. In each of the four countries, the facility-specific median indicators ranged from: 97%-100% for perfect self-reported adherence, 90%-95% of days covered by dispensed medicines, 2%-19% of patients with treatment gaps of 30 days or more, and 72%-91% of appointments attended on time. Individual facilities varied considerably. The percentages of days covered by dispensed medicine, patients with more than 95% of days covered, and patients with a gap of 30 days or more were all significantly correlated with the percentages of patients who attended their appointments on time, within 3 days, or within 30 days of their appointment. Self reported recent adherence in exit interviews was significantly correlated only with the percentage of patients who attended within 3 days of their appointment. CONCLUSIONS: Field tests showed that data to measure adherence can be collected systematically from health facilities in resource-poor settings. The clinical validity of these indicators is assessed in a companion article. Most patients and facilities showed high levels of adherence; however, poor levels of performance in some facilities provide a target for quality improvement efforts.
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spelling pubmed-28363182010-03-11 Measuring adherence to antiretroviral treatment in resource-poor settings: The feasibility of collecting routine data for key indicators Chalker, John C Andualem, Tenaw Gitau, Lillian N Ntaganira, Joseph Obua, Celestino Tadeg, Hailu Waako, Paul Ross-Degnan, Dennis BMC Health Serv Res Research article BACKGROUND: An East African survey showed that among the few health facilities that measured adherence to antiretroviral therapy, practices and definitions varied widely. We evaluated the feasibility of collecting routine data to standardize adherence measurement using a draft set of indicators. METHODS: Targeting 20 facilities each in Ethiopia, Kenya, Rwanda, and Uganda, in each facility we interviewed up to 30 patients, examined 100 patient records, and interviewed staff. RESULTS: In 78 facilities, we interviewed a total of 1,631 patients and reviewed 8,282 records. Difficulties in retrieving records prevented data collection in two facilities. Overall, 94.2% of patients reported perfect adherence; dispensed medicine covered 91.1% of days in a six month retrospective period; 13.7% of patients had a gap of more than 30 days in their dispensed medication; 75.8% of patients attended clinic on or before the date of their next appointment; and 87.1% of patients attended within 3 days. In each of the four countries, the facility-specific median indicators ranged from: 97%-100% for perfect self-reported adherence, 90%-95% of days covered by dispensed medicines, 2%-19% of patients with treatment gaps of 30 days or more, and 72%-91% of appointments attended on time. Individual facilities varied considerably. The percentages of days covered by dispensed medicine, patients with more than 95% of days covered, and patients with a gap of 30 days or more were all significantly correlated with the percentages of patients who attended their appointments on time, within 3 days, or within 30 days of their appointment. Self reported recent adherence in exit interviews was significantly correlated only with the percentage of patients who attended within 3 days of their appointment. CONCLUSIONS: Field tests showed that data to measure adherence can be collected systematically from health facilities in resource-poor settings. The clinical validity of these indicators is assessed in a companion article. Most patients and facilities showed high levels of adherence; however, poor levels of performance in some facilities provide a target for quality improvement efforts. BioMed Central 2010-02-19 /pmc/articles/PMC2836318/ /pubmed/20170479 http://dx.doi.org/10.1186/1472-6963-10-43 Text en Copyright ©2010 Chalker et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research article
Chalker, John C
Andualem, Tenaw
Gitau, Lillian N
Ntaganira, Joseph
Obua, Celestino
Tadeg, Hailu
Waako, Paul
Ross-Degnan, Dennis
Measuring adherence to antiretroviral treatment in resource-poor settings: The feasibility of collecting routine data for key indicators
title Measuring adherence to antiretroviral treatment in resource-poor settings: The feasibility of collecting routine data for key indicators
title_full Measuring adherence to antiretroviral treatment in resource-poor settings: The feasibility of collecting routine data for key indicators
title_fullStr Measuring adherence to antiretroviral treatment in resource-poor settings: The feasibility of collecting routine data for key indicators
title_full_unstemmed Measuring adherence to antiretroviral treatment in resource-poor settings: The feasibility of collecting routine data for key indicators
title_short Measuring adherence to antiretroviral treatment in resource-poor settings: The feasibility of collecting routine data for key indicators
title_sort measuring adherence to antiretroviral treatment in resource-poor settings: the feasibility of collecting routine data for key indicators
topic Research article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2836318/
https://www.ncbi.nlm.nih.gov/pubmed/20170479
http://dx.doi.org/10.1186/1472-6963-10-43
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