Qu Wenran, Wang Xiaoli, Zhang Simeng, Wei Huimin, Zhou Peiyun, Zhang Bingyan, Long Zongke, Luan Xiaorong
School of Nursing and Rehabilitation, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.
Henan Provincial People's Hospital Nursing Department, Henan Provincial Intelligent Nursing and Transformation Engineering Research Center, Henan Provincial Key Medicine Laboratory of Nursing, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Henan University People's Hospital, Zhengzhou, Henan 450003, China.
Heart Lung. 2025 Mar-Apr;70:141-146. doi: 10.1016/j.hrtlng.2024.11.019. Epub 2024 Dec 11.
Treatment burden is a significant barrier to patient adherence that may lead to deterioration of health.
The purpose of this study was to understand the treatment burden of Chinese patients with coronary heart disease (CHD) and its associations with demographic, capacity, and workload-related factors.
We conducted an observational cross-sectional study. We recruited 396 patients with CHD in a tertiary hospital in Shandong Province, China. Self-report questionnaires were used to measure patients' sociodemographic information, clinical information, treatment burden, health literacy, illness perception, and chronic illness resources. Descriptive statistics and t-tests, one-way analysis of variance, Pearson's correlation analysis, and multiple linear regression analysis were used for data analysis.
A total of 396 participants were included, of whom 273 were male (68.9 %) and 123 were female (31.1 %). The mean age of the participants was 63.10 ± 9.75. The predictors for treatment burden included smoking, taking ≥ 6 kinds of medications/day, health literacy, illness perception, and chronic illness resources, which explained 50.9 % of the variance (p < 0.05).
Our findings indicate an association between treatment burden and factors such as smoking, taking ≥ 6 kinds of medications/day, health literacy, illness perception, and chronic illness resource survey. Healthcare staff should develop targeted interventions based on relevant factors and optimize treatment strategies to improve patient adherence.
治疗负担是患者依从性的一个重大障碍,可能导致健康状况恶化。
本研究旨在了解中国冠心病(CHD)患者的治疗负担及其与人口统计学、能力和工作量相关因素的关联。
我们进行了一项观察性横断面研究。在中国山东省的一家三级医院招募了396例冠心病患者。采用自填式问卷来测量患者的社会人口学信息、临床信息、治疗负担、健康素养、疾病认知和慢性病资源。数据分析采用描述性统计、t检验、单因素方差分析、Pearson相关分析和多元线性回归分析。
共纳入396名参与者,其中男性273名(68.9%),女性123名(31.1%)。参与者的平均年龄为63.10±9.75岁。治疗负担的预测因素包括吸烟、每天服用≥6种药物、健康素养、疾病认知和慢性病资源,这些因素解释了50.9%的方差(p<0.05)。
我们的研究结果表明治疗负担与吸烟、每天服用≥6种药物、健康素养、疾病认知和慢性病资源调查等因素之间存在关联。医护人员应根据相关因素制定有针对性的干预措施,并优化治疗策略以提高患者依从性。