Hennemann Severin, Beutel Manfred E, Zwerenz Rüdiger
a Department of Psychosomatic Medicine and Psychotherapy , University Medical Center , Mainz , Germany.
b Department of Clinical Psychology , Psychotherapy, and Experimental Psychopathology, Institute of Psychology, University of Mainz , Mainz , Germany.
J Health Commun. 2017 Mar;22(3):274-284. doi: 10.1080/10810730.2017.1284286. Epub 2017 Feb 19.
eHealth interventions can be effective in treating health problems. However, adoption in inpatient routine care seems limited. The present study therefore aimed to investigate barriers and facilitators to acceptance of eHealth interventions and of online aftercare in particular in health professionals of inpatient treatment. A total of 152 out of 287 health professionals of various professional groups in four inpatient rehabilitation facilities filled out a self-administered web-based questionnaire (response rate: 53%); 128 individuals were eligible for further data analysis. Acceptance and possible predictors were investigated with a complex research model based on the Unified Theory of Acceptance and Use of Technology. Acceptance of eHealth interventions was rather low (M = 2.47, SD = 0.98); however, acceptance of online aftercare was moderate (M = 3.08, SD = 0.96, t(127) = 8.22, p < .001), and eHealth literacy was elevated. Social influence, performance expectancy, and treatment-related internet and mobile use significantly predicted overall acceptance. No differences were found between professional and age groups. Although acceptance of eHealth interventions was limited in health professionals of inpatient treatment, moderate acceptance of online aftercare for work-related stress implies a basis for future implementation. Tailored eHealth education addressing misconceptions about inferiority and incongruity with conventional treatment considering the systemic aspect of acceptance formation are needed.
电子健康干预措施在治疗健康问题方面可能有效。然而,在住院常规护理中的应用似乎有限。因此,本研究旨在调查接受电子健康干预措施,特别是住院治疗的医护人员接受在线后续护理的障碍和促进因素。四个住院康复机构中287名不同专业组别的医护人员中,共有152人填写了一份基于网络的自填式问卷(回复率:53%);128人符合进一步数据分析的条件。采用基于技术接受与使用统一理论的复杂研究模型,对接受度和可能的预测因素进行了调查。电子健康干预措施的接受度相当低(M = 2.47,标准差 = 0.98);然而,在线后续护理的接受度适中(M = 3.08,标准差 = 0.96,t(127) = 8.22,p <.001),并且电子健康素养有所提高。社会影响、绩效期望以及与治疗相关的互联网和移动使用显著预测了总体接受度。在专业组和年龄组之间未发现差异。尽管住院治疗的医护人员对电子健康干预措施的接受度有限,但对与工作相关压力的在线后续护理的适度接受意味着未来实施的基础。需要开展有针对性的电子健康教育,解决关于自卑感以及与传统治疗不一致的误解,同时考虑接受度形成的系统性方面。