Zhu Yaru, Song Yuting, Wang Yinuo, Ji Heqian, Wang Derong, Cai Shuo, Wang Aimin
School of Nursing, Qingdao University, Qingdao, China.
J Adv Nurs. 2023 Jan;79(1):161-169. doi: 10.1111/jan.15428. Epub 2022 Sep 2.
To explore the relationship between patient activation (subjective initiative of patients to participate in disease management in self-health care), social support, self-efficacy and online health information seeking among older patients with coronary heart disease.
A cross-sectional and survey-based design.
A total of 451 older patients with coronary heart disease were recruited from July to November 2021 from four communities in Qingdao, China. We collected data using the Patient Activation Measure, Social Support Rating Scale, Self-Efficacy Scale and Online Health Information Seeking Scale. We performed structural equation modelling to analyse the data.
The final model showed good model fit. Patient activation influenced online health information seeking directly (β = .39, p < .05) and indirectly through self-efficacy (β = .17, p < .05). Social support influenced online health information seeking directly (β = .23, p < .05) and indirectly through self-efficacy (β = .03, p < .05). Self-efficacy directly influenced online health information seeking (β = .26, p < .05).
We identified the interrelationships of patient activation, social support and self-efficacy and their influence on the online health information seeking of older patients with coronary heart disease. Our findings provide a theoretical basis for developing and evaluating interventions to enhance online health information seeking for older patients with coronary heart disease.
These findings add a better understanding of the relationship between patient activation, social support, self-efficacy and online health information seeking in older patients with coronary heart disease, and help community health workers to intervene in the early stage of disease diagnosis.
探讨老年冠心病患者的患者激活度(患者在自我保健中参与疾病管理的主观主动性)、社会支持、自我效能感与在线健康信息搜索之间的关系。
基于横断面调查的设计。
2021年7月至11月,从中国青岛的四个社区招募了451名老年冠心病患者。我们使用患者激活度量表、社会支持评定量表、自我效能感量表和在线健康信息搜索量表收集数据。我们进行了结构方程建模来分析数据。
最终模型显示出良好的模型拟合度。患者激活度直接影响在线健康信息搜索(β = 0.39,p < 0.05),并通过自我效能感间接影响(β = 0.17,p < 0.05)。社会支持直接影响在线健康信息搜索(β = 0.23,p < 0.05),并通过自我效能感间接影响(β = 0.03,p < 0.05)。自我效能感直接影响在线健康信息搜索(β = 0.26,p < 0.05)。
我们确定了患者激活度、社会支持和自我效能感之间的相互关系及其对老年冠心病患者在线健康信息搜索的影响。我们的研究结果为制定和评估增强老年冠心病患者在线健康信息搜索的干预措施提供了理论依据。
这些发现有助于更好地理解老年冠心病患者的患者激活度、社会支持、自我效能感与在线健康信息搜索之间的关系,并有助于社区卫生工作者在疾病诊断的早期阶段进行干预。