Klawunn Ronny, Meyer Antje, Schmeer Regina, Sebastião Maria, Behrends Marianne, Kupka Thomas, Wolff Dominik, Dierks Marie-Luise
Institut für Epidemiologie, Sozialmedizin und Gesundheitssystemforschung, Medizinische Hochschule Hannover, Hannover, Deutschland.
Institut für Epidemiologie, Sozialmedizin und Gesundheitssystemforschung, Medizinische Hochschule Hannover, Hannover, Deutschland.
Z Evid Fortbild Qual Gesundhwes. 2021 Oct;165:83-91. doi: 10.1016/j.zefq.2021.06.006. Epub 2021 Aug 30.
In the joint project "Mobile Care Backup" funded by the German Federal Ministry of Education and Research, the smartphone-based app "MoCaB" was developed in close cooperation with informal caregivers. It provides individualized, algorithm-based information and can accompany and support caring relatives in everyday life. After a multi-step development, informal caregivers tested the MoCaB app in a home setting at the end of the research project. The goal was to find out how the test persons evaluate MoCaB and in which form the app can provide support to informal caregivers.
Eighteen test persons caring for relatives participated in a four-week test of MoCaB. Guideline-based qualitative interviews to record usage behavior and experiences with the app were conducted after two and four weeks of testing, transcribed and analyzed using qualitative content analysis.
The test persons described the care-related information as helpful. The individualized, algorithm-based mode of information delivery and the exercises provided for family caregivers were generally rated as helpful, but their use depends on the individual usage style. Three dimensions can describe the effects of MoCaB: 1) expansion of care-relevant knowledge, 2) stimulation of self-reflection, and 3) behavior towards the care recipients.
With few exceptions, the testing caregivers felt that the MoCaB app was enriching. The support dimensions have an effect at different points in everyday life and vary in intensity, depending on the duration of the existing care activity and the individual preferences of the users.
The way in which caregivers used the app was not always consistent with the expected behaviors. This demonstrates the relevance of open-ended, qualitative research methods in the evaluation of health apps.
在德国联邦教育与研究部资助的“移动护理支持”联合项目中,与非正式护理人员密切合作开发了基于智能手机的应用程序“MoCaB”。它提供个性化的、基于算法的信息,并能在日常生活中陪伴和支持护理亲属。经过多步骤开发,非正式护理人员在研究项目结束时在家中对MoCaB应用程序进行了测试。目的是了解测试人员如何评价MoCaB,以及该应用程序能以何种形式为非正式护理人员提供支持。
18名照顾亲属的测试人员参与了为期四周的MoCaB测试。在测试两周和四周后,进行了基于指南的定性访谈,以记录应用程序的使用行为和体验,并使用定性内容分析法进行转录和分析。
测试人员认为与护理相关的信息很有帮助。个性化的、基于算法的信息传递模式以及为家庭护理人员提供的练习总体上被认为是有帮助的,但它们的使用取决于个人使用方式。MoCaB的效果可以从三个维度来描述:1)护理相关知识的扩展,2)自我反思的激发,3)对护理对象的行为。
除了少数例外,参与测试的护理人员认为MoCaB应用程序很有意义。这些支持维度在日常生活的不同时间点产生影响,强度也有所不同,这取决于现有护理活动的持续时间和用户的个人偏好。
护理人员使用该应用程序的方式并不总是与预期行为一致。这表明在评估健康应用程序时,开放式定性研究方法具有重要意义。