Liu Zhimin, Lu Xingyao, Li Yunyun, Luo Yanfang, Ye Fen, Sun Renjuan
Department of Neurology, Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu Province, People's Republic of China.
Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu Province, People's Republic of China.
Patient Prefer Adherence. 2025 Apr 7;19:941-953. doi: 10.2147/PPA.S507404. eCollection 2025.
To investigate medication self-management in patients with stroke and its relationship with general demographics, self-efficacy and medication literacy.
This was a cross-sectional study. Patients with stroke who received treatment in Jiangnan University Affiliated Hospital between July 2023 and January 2024 were selected as the study participants. The General Characteristics Questionnaire, the Self-Efficacy for Appropriate Medication Use Scale (SEAMS), the Chinese version of the Drug Literacy Scale and the Self-Administration of Medication tool were used to investigate patients with stroke and to analyse the factors influencing the self-management of their medication.
A total of 210 patients were included in this study. The average score of medication self-management was 66.71 (standard deviation = 9.55), and SEAMS and medication literacy scores were positively correlated with the total score of medication self-management behaviour. Furthermore, we found that the Barthel index (BI), SEAMS and medication literacy scores were the main predictors of medication self-management behaviour ( = 0.790, < 0.001).
This study found that patients with stroke with a lower BI and higher SEAMS or medication literacy scores also had higher levels of medication self-management. The factors discussed in this study may help develop individualised interventions in medication self-management for patients with stroke.
探讨脑卒中患者的药物自我管理及其与一般人口统计学、自我效能感和药物知识水平的关系。
这是一项横断面研究。选取2023年7月至2024年1月在江南大学附属医院接受治疗的脑卒中患者作为研究对象。采用一般情况调查问卷、合理用药自我效能量表(SEAMS)、中文版药物知识量表和药物自我管理工具对脑卒中患者进行调查,并分析影响其药物自我管理的因素。
本研究共纳入210例患者。药物自我管理平均得分为66.71(标准差=9.55),SEAMS和药物知识水平得分与药物自我管理行为总分呈正相关。此外,我们发现巴氏指数(BI)、SEAMS和药物知识水平得分是药物自我管理行为的主要预测因素(=0.790,<0.001)。
本研究发现,BI较低、SEAMS或药物知识水平得分较高的脑卒中患者药物自我管理水平也较高。本研究讨论的因素可能有助于为脑卒中患者制定个性化的药物自我管理干预措施。