Predictive Model of Self-Management and Quality of Life for Patients on Hemodialysis Using Information-Motivation-Behavioral Skills Model: A Cross-Sectional Study.
Sung Reul Kim, Hye Young Kim, Eun Ko, No Eul Kang, Kang Sun Lee
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引用次数: 0
Abstract
The aim of this study was to develop and validate a predictive model to enhance self-management and quality of life in patients undergoing hemodialysis, using the Information-Motivation-Behavioral (IMB) skills model. A cross-sectional study design was employed, with data collected from 245 participants selected through convenience sampling from seven hemodialysis centers in the Republic of Korea. Data were gathered using a structured questionnaire and analyzed with descriptive statistics, Pearson's correlation coefficients, and path analysis, utilizing Statistical Package for the Social Sciences 27 and Amos 23.0. In patients undergoing hemodialysis, family income, self-management knowledge, attitude toward self-management, and social support were found to influence quality of life indirectly through self-efficacy and self-management. In contrast, comorbidities and duration of hemodialysis were found to have a direct impact on quality of life. The IMB model, incorporating individual-level factors proves to be an effective framework for predicting self-management and quality of life in patients undergoing hemodialysis. Enhancing self-management and quality of life remains a critical issue for this population.
本研究的目的是利用信息-动机-行为(IMB)技能模型,建立并验证一个预测模型,以提高血液透析患者的自我管理和生活质量。采用横断面研究设计,从大韩民国七个血液透析中心通过方便抽样从245名参与者中收集数据。采用结构化问卷收集数据,采用描述性统计、Pearson相关系数和通径分析,利用Statistical Package for the Social Sciences 27和Amos 23.0进行分析。在血液透析患者中,家庭收入、自我管理知识、自我管理态度和社会支持通过自我效能感和自我管理间接影响生活质量。相反,合并症和血液透析持续时间对生活质量有直接影响。纳入个体水平因素的IMB模型被证明是预测血液透析患者自我管理和生活质量的有效框架。加强自我管理和生活质量仍然是这一人口的一个关键问题。
期刊介绍:
NHS has a multidisciplinary focus and broad scope and a particular focus on the translation of research into clinical practice, inter-disciplinary and multidisciplinary work, primary health care, health promotion, health education, management of communicable and non-communicable diseases, implementation of technological innovations and inclusive multicultural approaches to health services and care.