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Clinical and demographic correlates of medication and visit adherence in a large randomized controlled trial

BACKGROUND: Patient characteristics are associated with adherence, which has implications for planning clinical research or designing payment systems that reward superior outcomes. It is unclear to what extent clinician efforts to improve adherence can attenuate these associations. METHODS: To ident...

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Autores principales: Whittle, Jeff, Yamal, José-Miguel, Williamson, Jeffrey D., Ford, Charles E., Probstfield, Jeffrey L., Beard, Barbara L., Marginean, Horia, Hamilton, Bruce P., Suhan, Pamela S., Davis, Barry R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4938977/
https://www.ncbi.nlm.nih.gov/pubmed/27391223
http://dx.doi.org/10.1186/s12913-016-1471-x
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author Whittle, Jeff
Yamal, José-Miguel
Williamson, Jeffrey D.
Ford, Charles E.
Probstfield, Jeffrey L.
Beard, Barbara L.
Marginean, Horia
Hamilton, Bruce P.
Suhan, Pamela S.
Davis, Barry R.
author_facet Whittle, Jeff
Yamal, José-Miguel
Williamson, Jeffrey D.
Ford, Charles E.
Probstfield, Jeffrey L.
Beard, Barbara L.
Marginean, Horia
Hamilton, Bruce P.
Suhan, Pamela S.
Davis, Barry R.
author_sort Whittle, Jeff
collection PubMed
description BACKGROUND: Patient characteristics are associated with adherence, which has implications for planning clinical research or designing payment systems that reward superior outcomes. It is unclear to what extent clinician efforts to improve adherence can attenuate these associations. METHODS: To identify factors predicting visit and medication adherence in settings designed to optimize adherence, we did a retrospective analysis of participants in the Antihypertensive and Lipid-Lowering Treatment to Prevent Heart Attack Trial (ALLHAT). ALLHAT recruited participants at 632 sites in North America, Puerto Rico, and the U.S. Virgin Islands for random assignment to antihypertensive treatment with amlodipine, chlorthalidone, or lisinopril. Site investigators reported clinic characteristics at the time they applied to participate in the study and research coordinators used standardized methods to measure patient characteristics. We defined adequate visit adherence as attending at least 80 % of scheduled visits; adequate medication adherence was defined as taking 80 % or more of the randomly assigned medication at all study visits. RESULTS: The 31,250 ALLHAT participants eligible for the visit adherence analysis attended 78.5 % of scheduled study visits; 68.9 % attended more than 80 % of scheduled visits. Clinic setting was predictive of both forms of adherence; adherence was worst at private clinics; clinics that enrolled more study participants had superior adherence. Adjusting for clinic characteristics and clinical factors, women, younger participants, Blacks and smokers were less likely to have adequate visit adherence. Among the 28,967 participants eligible for the medication adherence analysis, 21,261 (73.4 %) reported adequate medication adherence. In adjusted analyses, younger and less educated participants, Blacks, and smokers were less likely to report adequate adherence. CONCLUSIONS: Participant demographics were associated with adherence despite strenuous efforts to optimize adherence. Our results could inform decisions by researchers planning trials and policymakers designing payment systems. TRIAL REGISTRATION: NCT00000542. Registered 27 October 1999. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12913-016-1471-x) contains supplementary material, which is available to authorized users.
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spelling pubmed-49389772016-07-10 Clinical and demographic correlates of medication and visit adherence in a large randomized controlled trial Whittle, Jeff Yamal, José-Miguel Williamson, Jeffrey D. Ford, Charles E. Probstfield, Jeffrey L. Beard, Barbara L. Marginean, Horia Hamilton, Bruce P. Suhan, Pamela S. Davis, Barry R. BMC Health Serv Res Research Article BACKGROUND: Patient characteristics are associated with adherence, which has implications for planning clinical research or designing payment systems that reward superior outcomes. It is unclear to what extent clinician efforts to improve adherence can attenuate these associations. METHODS: To identify factors predicting visit and medication adherence in settings designed to optimize adherence, we did a retrospective analysis of participants in the Antihypertensive and Lipid-Lowering Treatment to Prevent Heart Attack Trial (ALLHAT). ALLHAT recruited participants at 632 sites in North America, Puerto Rico, and the U.S. Virgin Islands for random assignment to antihypertensive treatment with amlodipine, chlorthalidone, or lisinopril. Site investigators reported clinic characteristics at the time they applied to participate in the study and research coordinators used standardized methods to measure patient characteristics. We defined adequate visit adherence as attending at least 80 % of scheduled visits; adequate medication adherence was defined as taking 80 % or more of the randomly assigned medication at all study visits. RESULTS: The 31,250 ALLHAT participants eligible for the visit adherence analysis attended 78.5 % of scheduled study visits; 68.9 % attended more than 80 % of scheduled visits. Clinic setting was predictive of both forms of adherence; adherence was worst at private clinics; clinics that enrolled more study participants had superior adherence. Adjusting for clinic characteristics and clinical factors, women, younger participants, Blacks and smokers were less likely to have adequate visit adherence. Among the 28,967 participants eligible for the medication adherence analysis, 21,261 (73.4 %) reported adequate medication adherence. In adjusted analyses, younger and less educated participants, Blacks, and smokers were less likely to report adequate adherence. CONCLUSIONS: Participant demographics were associated with adherence despite strenuous efforts to optimize adherence. Our results could inform decisions by researchers planning trials and policymakers designing payment systems. TRIAL REGISTRATION: NCT00000542. Registered 27 October 1999. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12913-016-1471-x) contains supplementary material, which is available to authorized users. BioMed Central 2016-07-08 /pmc/articles/PMC4938977/ /pubmed/27391223 http://dx.doi.org/10.1186/s12913-016-1471-x Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Whittle, Jeff
Yamal, José-Miguel
Williamson, Jeffrey D.
Ford, Charles E.
Probstfield, Jeffrey L.
Beard, Barbara L.
Marginean, Horia
Hamilton, Bruce P.
Suhan, Pamela S.
Davis, Barry R.
Clinical and demographic correlates of medication and visit adherence in a large randomized controlled trial
title Clinical and demographic correlates of medication and visit adherence in a large randomized controlled trial
title_full Clinical and demographic correlates of medication and visit adherence in a large randomized controlled trial
title_fullStr Clinical and demographic correlates of medication and visit adherence in a large randomized controlled trial
title_full_unstemmed Clinical and demographic correlates of medication and visit adherence in a large randomized controlled trial
title_short Clinical and demographic correlates of medication and visit adherence in a large randomized controlled trial
title_sort clinical and demographic correlates of medication and visit adherence in a large randomized controlled trial
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4938977/
https://www.ncbi.nlm.nih.gov/pubmed/27391223
http://dx.doi.org/10.1186/s12913-016-1471-x
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