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Predictors of poor medication adherence of older people with hypertension
AIMS: To explore the risk factors for poor medication adherence in older people with hypertension. DESIGN: A cross‐sectional study. METHODS: Participants were administered with a self‐report questionnaire about their demographic characteristics; additionally, their four‐item Morisky Medication Adher...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8859025/ https://www.ncbi.nlm.nih.gov/pubmed/35094495 http://dx.doi.org/10.1002/nop2.1183 |
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author | Wan, Jingjing Wu, Yinyin Ma, Yuan Tao, Xiubin Wang, Anshi |
author_facet | Wan, Jingjing Wu, Yinyin Ma, Yuan Tao, Xiubin Wang, Anshi |
author_sort | Wan, Jingjing |
collection | PubMed |
description | AIMS: To explore the risk factors for poor medication adherence in older people with hypertension. DESIGN: A cross‐sectional study. METHODS: Participants were administered with a self‐report questionnaire about their demographic characteristics; additionally, their four‐item Morisky Medication Adherence Scale scores were calculated. The STROBE checklist was applied as the reporting guideline for this study (File S1). RESULTS: Univariate analysis indicated that the following five factors were statistically significantly associated with medication adherence: education level (χ (2) = 8.073, p = .045), co‐living (χ (2) = 11.364, p = .010), hypertension complications (χ (2) = 10.968, p = .001), admission blood pressure (χ (2) = 8.876, p = .003), and falls (χ (2) = 6.703, p = .010). Multivariable binary logistic regression analysis showed that there were four statistically significant predictors, such as people who lived with spouses and offspring (OR = 3.004, p = .017), and those who had high admission blood pressure (OR = 1.910, p = .003) had a greater risk of poor medication adherence, whereas those without hypertension complications (OR = 0.591, p = .026) and those without falls (OR = 0.530, p = .046) had a lower risk. RELEVANCE TO CLINICAL PRACTICE: We believe that these findings contribute to the identification of high‐risk people with poor adherence, allowing nurses to identify people with poor adherence in a timely manner, and pay attention to the people's medication. |
format | Online Article Text |
id | pubmed-8859025 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-88590252022-03-31 Predictors of poor medication adherence of older people with hypertension Wan, Jingjing Wu, Yinyin Ma, Yuan Tao, Xiubin Wang, Anshi Nurs Open Research Articles AIMS: To explore the risk factors for poor medication adherence in older people with hypertension. DESIGN: A cross‐sectional study. METHODS: Participants were administered with a self‐report questionnaire about their demographic characteristics; additionally, their four‐item Morisky Medication Adherence Scale scores were calculated. The STROBE checklist was applied as the reporting guideline for this study (File S1). RESULTS: Univariate analysis indicated that the following five factors were statistically significantly associated with medication adherence: education level (χ (2) = 8.073, p = .045), co‐living (χ (2) = 11.364, p = .010), hypertension complications (χ (2) = 10.968, p = .001), admission blood pressure (χ (2) = 8.876, p = .003), and falls (χ (2) = 6.703, p = .010). Multivariable binary logistic regression analysis showed that there were four statistically significant predictors, such as people who lived with spouses and offspring (OR = 3.004, p = .017), and those who had high admission blood pressure (OR = 1.910, p = .003) had a greater risk of poor medication adherence, whereas those without hypertension complications (OR = 0.591, p = .026) and those without falls (OR = 0.530, p = .046) had a lower risk. RELEVANCE TO CLINICAL PRACTICE: We believe that these findings contribute to the identification of high‐risk people with poor adherence, allowing nurses to identify people with poor adherence in a timely manner, and pay attention to the people's medication. John Wiley and Sons Inc. 2022-01-30 /pmc/articles/PMC8859025/ /pubmed/35094495 http://dx.doi.org/10.1002/nop2.1183 Text en © 2022 The Authors. Nursing Open published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Research Articles Wan, Jingjing Wu, Yinyin Ma, Yuan Tao, Xiubin Wang, Anshi Predictors of poor medication adherence of older people with hypertension |
title | Predictors of poor medication adherence of older people with hypertension |
title_full | Predictors of poor medication adherence of older people with hypertension |
title_fullStr | Predictors of poor medication adherence of older people with hypertension |
title_full_unstemmed | Predictors of poor medication adherence of older people with hypertension |
title_short | Predictors of poor medication adherence of older people with hypertension |
title_sort | predictors of poor medication adherence of older people with hypertension |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8859025/ https://www.ncbi.nlm.nih.gov/pubmed/35094495 http://dx.doi.org/10.1002/nop2.1183 |
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