Factors affecting medication adherence in community-managed patients with hypertension based on the principal component analysis: evidence from Xinjiang, China
Autor: | Mingxia Jing, Wangfei Cui, Yuji Zhang, Hongpo Yin, Yinxia Zheng, Mei Zhang, Ke Li, Lu Mao, Yanli He, Xiaoju Li |
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Rok vydání: | 2018 |
Předmět: |
China
medicine.medical_specialty hypertension principal component analysis Medicine (miscellaneous) Medication adherence Disease 030204 cardiovascular system & hematology Logistic regression 03 medical and health sciences 0302 clinical medicine Community health care Internal medicine Diabetes mellitus medicine 030212 general & internal medicine Pharmacology Toxicology and Pharmaceutics (miscellaneous) Original Research business.industry Health Policy factors Community management community management medicine.disease Blood pressure Patient Preference and Adherence medication adherence Principal component analysis business Social Sciences (miscellaneous) |
Zdroj: | Patient preference and adherence |
ISSN: | 1177-889X |
DOI: | 10.2147/ppa.s158662 |
Popis: | Yuji Zhang,* Xiaoju Li,* Lu Mao, Mei Zhang, Ke Li, Yinxia Zheng, Wangfei Cui, Hongpo Yin, Yanli He, Mingxia Jing Department of Public Health, Shihezi University School of Medicine, Shihezi, Xinjiang, China *These authors contributed equally to this work Purpose: The analysis of factors affecting the nonadherence to antihypertensive medications is important in the control of blood pressure among patients with hypertension. The purpose of this study was to assess the relationship between factors and medication adherence in Xinjiang community-managed patients with hypertension based on the principal component analysis.Patients and methods: A total of 1,916 community-managed patients with hypertension, selected randomly through a multi-stage sampling, participated in the survey. Self-designed questionnaires were used to classify the participants as either adherent or nonadherent to their medication regimen. A principal component analysis was used in order to eliminate the correlation between factors. Factors related to nonadherence were analyzed by using a χ2-test and a binary logistic regression model.Results: This study extracted nine common factors, with a cumulative variance contribution rate of 63.6%. Further analysis revealed that the following variables were significantly related to nonadherence: severity of disease, community management, diabetes, and taking traditional medications.Conclusion: Community management plays an important role in improving the patients’ medication-taking behavior. Regular medication regimen instruction and better community management services through community-level have the potential to reduce nonadherence. Mild hypertensive patients should be monitored by community health care providers. Keywords: hypertension, medication adherence, factors, principal component analysis, community management, China |
Databáze: | OpenAIRE |
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