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Risk factors for medication non-adherence among atrial fibrillation patients
BACKGROUND: Atrial fibrillation (AF) patients are routinely prescribed medications to prevent and treat complications, including those from common co-occurring comorbidities. However, adherence to such medications may be suboptimal. Therefore, we sought to identify risk factors for general medicatio...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6371431/ https://www.ncbi.nlm.nih.gov/pubmed/30744554 http://dx.doi.org/10.1186/s12872-019-1019-1 |
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author | Reading, Stephanie R. Black, Mary Helen Singer, Daniel E. Go, Alan S. Fang, Margaret C. Udaltsova, Natalia Harrison, Teresa N. Wei, Rong X. Liu, In-Lu Amy Reynolds, Kristi |
author_facet | Reading, Stephanie R. Black, Mary Helen Singer, Daniel E. Go, Alan S. Fang, Margaret C. Udaltsova, Natalia Harrison, Teresa N. Wei, Rong X. Liu, In-Lu Amy Reynolds, Kristi |
author_sort | Reading, Stephanie R. |
collection | PubMed |
description | BACKGROUND: Atrial fibrillation (AF) patients are routinely prescribed medications to prevent and treat complications, including those from common co-occurring comorbidities. However, adherence to such medications may be suboptimal. Therefore, we sought to identify risk factors for general medication non-adherence in a population of patients with atrial fibrillation. METHODS: Data were collected from a large, ethnically-diverse cohort of Kaiser Permanente Northern and Southern California adult members with incident diagnosed AF between January 1, 2006 and June 30, 2009. Self-reported questionnaires were completed between May 1, 2010 and September 30, 2010, assessing patient socio-demographics, health behaviors, health status, medical history and medication adherence. Medication adherence was assessed using a previously validated 3-item questionnaire. Medication non-adherence was defined as either taking medication(s) as the doctor prescribed 75% of the time or less, or forgetting or choosing to skip one or more medication(s) once per week or more. Electronic health records were used to obtain additional data on medical history. Multivariable logistic regression analyses examined the associations between patient characteristics and self-reported general medication adherence among patients with complete questionnaire data. RESULTS: Among 12,159 patients with complete questionnaire data, 6.3% (n = 771) reported medication non-adherence. Minority race/ethnicity versus non-Hispanic white, not married/with partner versus married/with partner, physical inactivity versus physically active, alcohol use versus no alcohol use, any days of self-reported poor physical health, mental health and/or sleep quality in the past 30 days versus 0 days, memory decline versus no memory decline, inadequate versus adequate health literacy, low-dose aspirin use versus no low-dose aspirin use, and diabetes mellitus were associated with higher adjusted odds of non-adherence, whereas, ages 65–84 years versus < 65 years of age, a Charlson Comorbidity Index score ≥ 3 versus 0, and hypertension were associated with lower adjusted odds of non-adherence. CONCLUSIONS: Several potentially preventable and/or modifiable risk factors related to medication non-adherence and a few non-modifiable risk factors were identified. These risk factors should be considered when assessing medication adherence among patients diagnosed with AF. |
format | Online Article Text |
id | pubmed-6371431 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-63714312019-02-21 Risk factors for medication non-adherence among atrial fibrillation patients Reading, Stephanie R. Black, Mary Helen Singer, Daniel E. Go, Alan S. Fang, Margaret C. Udaltsova, Natalia Harrison, Teresa N. Wei, Rong X. Liu, In-Lu Amy Reynolds, Kristi BMC Cardiovasc Disord Research Article BACKGROUND: Atrial fibrillation (AF) patients are routinely prescribed medications to prevent and treat complications, including those from common co-occurring comorbidities. However, adherence to such medications may be suboptimal. Therefore, we sought to identify risk factors for general medication non-adherence in a population of patients with atrial fibrillation. METHODS: Data were collected from a large, ethnically-diverse cohort of Kaiser Permanente Northern and Southern California adult members with incident diagnosed AF between January 1, 2006 and June 30, 2009. Self-reported questionnaires were completed between May 1, 2010 and September 30, 2010, assessing patient socio-demographics, health behaviors, health status, medical history and medication adherence. Medication adherence was assessed using a previously validated 3-item questionnaire. Medication non-adherence was defined as either taking medication(s) as the doctor prescribed 75% of the time or less, or forgetting or choosing to skip one or more medication(s) once per week or more. Electronic health records were used to obtain additional data on medical history. Multivariable logistic regression analyses examined the associations between patient characteristics and self-reported general medication adherence among patients with complete questionnaire data. RESULTS: Among 12,159 patients with complete questionnaire data, 6.3% (n = 771) reported medication non-adherence. Minority race/ethnicity versus non-Hispanic white, not married/with partner versus married/with partner, physical inactivity versus physically active, alcohol use versus no alcohol use, any days of self-reported poor physical health, mental health and/or sleep quality in the past 30 days versus 0 days, memory decline versus no memory decline, inadequate versus adequate health literacy, low-dose aspirin use versus no low-dose aspirin use, and diabetes mellitus were associated with higher adjusted odds of non-adherence, whereas, ages 65–84 years versus < 65 years of age, a Charlson Comorbidity Index score ≥ 3 versus 0, and hypertension were associated with lower adjusted odds of non-adherence. CONCLUSIONS: Several potentially preventable and/or modifiable risk factors related to medication non-adherence and a few non-modifiable risk factors were identified. These risk factors should be considered when assessing medication adherence among patients diagnosed with AF. BioMed Central 2019-02-11 /pmc/articles/PMC6371431/ /pubmed/30744554 http://dx.doi.org/10.1186/s12872-019-1019-1 Text en © The Author(s). 2019 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 Reading, Stephanie R. Black, Mary Helen Singer, Daniel E. Go, Alan S. Fang, Margaret C. Udaltsova, Natalia Harrison, Teresa N. Wei, Rong X. Liu, In-Lu Amy Reynolds, Kristi Risk factors for medication non-adherence among atrial fibrillation patients |
title | Risk factors for medication non-adherence among atrial fibrillation patients |
title_full | Risk factors for medication non-adherence among atrial fibrillation patients |
title_fullStr | Risk factors for medication non-adherence among atrial fibrillation patients |
title_full_unstemmed | Risk factors for medication non-adherence among atrial fibrillation patients |
title_short | Risk factors for medication non-adherence among atrial fibrillation patients |
title_sort | risk factors for medication non-adherence among atrial fibrillation patients |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6371431/ https://www.ncbi.nlm.nih.gov/pubmed/30744554 http://dx.doi.org/10.1186/s12872-019-1019-1 |
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