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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...

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Detalles Bibliográficos
Autores principales: Wan, Jingjing, Wu, Yinyin, Ma, Yuan, Tao, Xiubin, Wang, Anshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
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
Descripción
Sumario: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.