Lentferink Aniek, Oldenhuis Hilbrand, Velthuijsen Hugo, van Gemert-Pijnen Lisette
Department of Psychology, Health & Technology, University of Twente, Enschede, Netherlands.
Marian van Os Centre for Entrepreneurship, Hanze University of Applied Sciences, Groningen, Netherlands.
JMIR Hum Factors. 2023 Mar 10;10:e34331. doi: 10.2196/34331.
An eHealth tool that coaches employees through the process of reflection has the potential to support employees with moderate levels of stress to increase their capacity for resilience. Most eHealth tools that include self-tracking summarize the collected data for the users. However, users need to gain a deeper understanding of the data and decide upon the next step to take through self-reflection.
In this study, we aimed to examine the perceived effectiveness of the guidance offered by an automated e-Coach during employees' self-reflection process in gaining insights into their situation and on their perceived stress and resilience capacities and the usefulness of the design elements of the e-Coach during this process.
Of the 28 participants, 14 (50%) completed the 6-week BringBalance program that allowed participants to perform reflection via four phases: identification, strategy generation, experimentation, and evaluation. Data collection consisted of log data, ecological momentary assessment (EMA) questionnaires for reflection provided by the e-Coach, in-depth interviews, and a pre- and posttest survey (including the Brief Resilience Scale and the Perceived Stress Scale). The posttest survey also asked about the utility of the elements of the e-Coach for reflection. A mixed methods approach was followed.
Pre- and posttest scores on perceived stress and resilience were not much different among completers (no statistical test performed). The automated e-Coach did enable users to gain an understanding of factors that influenced their stress levels and capacity for resilience (identification phase) and to learn the principles of useful strategies to improve their capacity for resilience (strategy generation phase). Design elements of the e-Coach reduced the reflection process into smaller steps to re-evaluate situations and helped them to observe a trend (identification phase). However, users experienced difficulties integrating the chosen strategies into their daily life (experimentation phase). Moreover, the identified events related to stress and resilience were too specific through the guidance offered by the e-Coach (identification phase), and the events did not recur, which consequently left users unable to sufficiently practice (strategy generation phase), experiment (experimentation phase), and evaluate (evaluation phase) the techniques during meaningful events.
Participants were able to perform self-reflection under the guidance of the automated e-Coach, which often led toward gaining new insights. To improve the reflection process, more guidance should be offered by the e-Coach that would aid employees to identify events that recur in daily life. Future research could study the effects of the suggested improvements on the quality of reflection via an automated e-Coach.
一种通过反思过程指导员工的电子健康工具,有潜力支持压力水平中等的员工增强其恢复力。大多数包含自我跟踪功能的电子健康工具会为用户总结收集到的数据。然而,用户需要更深入地理解这些数据,并通过自我反思来决定下一步行动。
在本研究中,我们旨在考察自动化电子教练在员工自我反思过程中提供的指导,在帮助员工洞察自身状况以及了解其感知到的压力和恢复力方面的有效性,以及在此过程中电子教练设计元素的有用性。
28名参与者中,14名(50%)完成了为期6周的“实现平衡”项目,该项目允许参与者通过四个阶段进行反思:识别、策略生成、试验和评估。数据收集包括日志数据、电子教练提供的用于反思的生态瞬时评估(EMA)问卷、深度访谈以及一项前后测调查(包括简易恢复力量表和感知压力量表)。后测调查还询问了电子教练反思元素的效用。采用了混合方法。
完成者在感知压力和恢复力方面的前后测分数差异不大(未进行统计检验)。自动化电子教练确实使用户能够理解影响其压力水平和恢复力的因素(识别阶段),并学习有用策略的原则以提高其恢复力(策略生成阶段)。电子教练的设计元素将反思过程分解为更小的步骤,以便重新评估情况,并帮助他们观察趋势(识别阶段)。然而,用户在将所选策略融入日常生活方面遇到困难(试验阶段)。此外,通过电子教练提供的指导所识别出的与压力和恢复力相关的事件过于具体(识别阶段),且这些事件没有再次出现,结果导致用户无法在有意义的事件中充分练习(策略生成阶段)、试验(试验阶段)和评估(评估阶段)这些技巧。
参与者能够在自动化电子教练的指导下进行自我反思,这通常会带来新的见解。为了改进反思过程,电子教练应提供更多指导,以帮助员工识别日常生活中反复出现的事件。未来的研究可以通过自动化电子教练来研究建议改进措施对反思质量的影响。