Open AccessPredictors of poor medication adherence of older people with hypertension
Author(s) -
Wan Jingjing,
Wu Yinyin,
Ma Yuan,
Tao Xiubin,
Wang Anshi
Publication year - 2022
Publication title -
nursing open
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.55
H-Index - 12
ISSN - 2054-1058
DOI - 10.1002/nop2.1183
Subject(s) - medicine , checklist , logistic regression , blood pressure , medication adherence , cross sectional study , univariate analysis , guideline , physical therapy , multivariate analysis , psychology , pathology , cognitive psychology
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.