Human-Technology Interaction Group, Department of Industrial Engineering & Innovation Sciences, Eindhoven University of Technology, Eindhoven, Netherlands.
Digital Engagement, Cognition & Behavior Group, Philips Research, Eindhoven, Netherlands.
J Med Internet Res. 2021 Sep 17;23(9):e28518. doi: 10.2196/28518.
The last few decades have witnessed significant advances in the development of digital tools and applications for mental health care. Despite growing evidence for their effectiveness, acceptance and use of these tools in clinical practice remain low. Hence, a validated and easy-to-use instrument for assessing professionals' readiness to adopt eMental health (EMH) is necessary to gain further insights into the process of EMH adoption and facilitate future research on this topic.
The aim of this study is to develop and validate an instrument for assessing mental health care professionals' readiness to adopt EMH.
Item generation was guided by literature and inputs from mental health care professionals and experts in survey development. Exploratory factor analyses were conducted on an initial set of 29 items completed by a sample of mental health care professionals (N=432); thereafter, the scale was reduced to 15 items in an iterative process. The factor structure thus obtained was subsequently tested using a confirmatory factor analysis with a second sample of mental health care professionals (N=363). The internal consistency, convergent validity, and predictive validity of the eMental Health Adoption Readiness (eMHAR) Scale were assessed.
Exploratory factor analysis resulted in a 3-factor solution with 15 items. The factors were analyzed and labeled as perceived benefits and applicability of EMH, EMH proactive innovation, and EMH self-efficacy. These factors were confirmed through a confirmatory factor analysis. The total scale and subscales showed a good internal consistency (Cronbach α=.73-.88) along with acceptable convergent and predictive relationships with related constructs.
The constructed eMHAR Scale showed a conceptually interpretable 3-factor structure having satisfactory characteristics and relationships with relevant concepts. Its ease of use allows for quick acquisition of data that can contribute to understanding and facilitating the process of adoption of EMH by clinical professionals.
过去几十年见证了数字工具和应用程序在精神卫生保健领域的显著发展。尽管这些工具的有效性证据越来越多,但它们在临床实践中的接受度和使用率仍然很低。因此,需要开发和验证一种经过验证且易于使用的工具,以评估专业人员采用电子心理健康(eMental health,EMH)的准备情况,从而进一步深入了解 EMH 采用的过程,并促进该主题的未来研究。
本研究旨在开发和验证一种评估精神卫生保健专业人员采用 EMH 准备情况的工具。
通过文献和精神卫生保健专业人员和调查开发专家的投入指导项目生成。对一组由精神卫生保健专业人员(N=432)完成的初始 29 项进行探索性因素分析;此后,通过迭代过程将量表缩减至 15 项。随后使用第二组精神卫生保健专业人员(N=363)的验证性因素分析测试获得的因子结构。评估 eMental Health Adoption Readiness(eMHAR)量表的内部一致性、收敛效度和预测效度。
探索性因素分析得出了一个包含 15 个项目的 3 因子解决方案。对这些因子进行了分析和标记,分别为 EMH 的感知益处和适用性、EMH 主动创新和 EMH 自我效能。这些因子通过验证性因素分析得到了确认。总量表和分量表均显示出良好的内部一致性(Cronbach α=.73-.88),以及与相关构念的可接受的收敛和预测关系。
构建的 eMHAR 量表显示出具有可理解概念的 3 因子结构,具有令人满意的特征和与相关概念的关系。其易用性允许快速获取数据,有助于理解和促进临床专业人员采用 EMH 的过程。