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慢性病中的药物依从性与患者特征:一项全国多中心研究。

Medication Adherence and Patients' Characteristics in Chronic Diseases: A National Multi-Center Study.

作者信息

Al-Noumani Huda, Al-Harrasi Maryam, Jose Jimmy, Al-Naamani Zakariya, Panchatcharam Sathiya M

机构信息

Sultan Qaboos University, Muscat, Oman.

University of Nizwa, Oman.

出版信息

Clin Nurs Res. 2022 Mar;31(3):426-434. doi: 10.1177/10547738211033754. Epub 2021 Jul 21.

Abstract

Chronic diseases constitute a significant threat to health. Worldwide, medication adherence in chronic diseases remains unsatisfactory. Understanding factors affecting adherence is essential. This study examined medication adherence by characteristics of patients with chronic diseases. This cross-sectional study included 800 patients. The Adherence to Chronic Diseases Scale was used to measure adherence. Descriptive statistics and logistic regression was used to examine factors influencing medication adherence. Low adherence was found in 19.5% of the patients, 45% had medium adherence, and 35.5% had high adherence. Logistic regression showed that retired ( 0.496, 95% CI [0.33-0.75]), having COPD ( 0.460, 95% CI [0.32-0.67]) and duration of disease ≤5 years ( 1.554, 95% CI [1.11-2.17]) remain independent predictors for high adherence. Mixed findings regarding the relationship between medication adherence and patients' characteristics were noticed. Patients' characteristics should be examined with the individual population when examining and attempting to improve medication adherence in clinical practice.

摘要

慢性病对健康构成重大威胁。在全球范围内,慢性病患者的药物依从性仍不尽人意。了解影响依从性的因素至关重要。本研究根据慢性病患者的特征来考察药物依从性。这项横断面研究纳入了800名患者。采用慢性病依从性量表来测量依从性。运用描述性统计和逻辑回归分析来考察影响药物依从性的因素。结果发现,19.5%的患者依从性低,45%的患者依从性中等,35.5%的患者依从性高。逻辑回归分析显示,退休(0.496,95%置信区间[0.33 - 0.75])、患有慢性阻塞性肺疾病(COPD)(0.460,95%置信区间[0.32 - 0.67])以及病程≤5年(1.554,95%置信区间[1.11 - 2.17])仍是高依从性的独立预测因素。研究注意到药物依从性与患者特征之间的关系存在混合性结果。在临床实践中检查并试图提高药物依从性时,应针对个体人群考察患者特征。

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