Zhao Jianchun, Hu Danqing, Du Haowei, Wang Haichao, Tu Xiaomin, Wang Aimin
School of Nursing, Qingdao University, Qingdao, Shandong Province, People's Republic of China.
PLoS One. 2025 Jun 4;20(6):e0325202. doi: 10.1371/journal.pone.0325202. eCollection 2025.
The purpose of this study was to explore the relationship between social support, eHealth literacy, healthcare technology self-efficacy, and technophobia. It also analyzed the mediating effect of eHealth literacy and healthcare technology self-efficacy between social support and technophobia.
Older patients with coronary heart diseases (n = 396) from four communities in Qingdao were interviewed using the Technophobia Scale, Social Support Rating Scale, eHealth Literacy Scale and Healthcare Technology Self-Efficacy Scale. Data were analyzed using common method deviation test, Pearson's bivariate correlation analysis, and mediation analysis using the PROCESS macro.
Social support was significantly positively correlated with eHealth literacy (r = 0.614, p < 0.01) and healthcare technology self-efficacy (r = 0.635, p < 0.01), and significantly negatively correlated with technophobia (r = -0.578, p < 0.01). eHealth literacy was significantly positively correlated with healthcare technology self-efficacy (r = 0.822, p < 0.01), and significantly negatively correlated with technophobia (r = -0.651, p < 0.01). Healthcare technology self-efficacy was significantly negatively correlated with technophobia (r = -0.700, p < 0.01). Social support had a total indirect effect on technophobia of -0.410, with eHealth literacy and healthcare technology self-efficacy mediating 24.9% and 30.2% of this effect respectively, and the chain mediating effect accounting for 44.9%.
Our findings provide a theoretical reference for nursing to develop appropriate interventions to alleviate technophobia among older patients with CHD.
本研究旨在探讨社会支持、电子健康素养、医疗技术自我效能感与技术恐惧之间的关系。同时分析电子健康素养和医疗技术自我效能感在社会支持与技术恐惧之间的中介作用。
采用技术恐惧量表、社会支持评定量表、电子健康素养量表和医疗技术自我效能量表,对来自青岛四个社区的396名老年冠心病患者进行访谈。数据采用共同方法偏差检验、Pearson双变量相关分析以及使用PROCESS宏进行中介分析。
社会支持与电子健康素养(r = 0.614,p < 0.01)和医疗技术自我效能感(r = 0.635,p < 0.01)显著正相关,与技术恐惧(r = -0.578,p < 0.01)显著负相关。电子健康素养与医疗技术自我效能感显著正相关(r = 0.822,p < 0.01),与技术恐惧显著负相关(r = -0.651,p < 0.01)。医疗技术自我效能感与技术恐惧显著负相关(r = -0.700,p < 0.01)。社会支持对技术恐惧的总间接效应为-0.410,其中电子健康素养和医疗技术自我效能感分别中介了该效应的24.9%和30.2%,链式中介效应占44.9%。
我们的研究结果为护理人员制定适当干预措施以减轻老年冠心病患者的技术恐惧提供了理论参考。