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从一项新型数字心理健康评估的用户反馈中获得的经验教训。

Learnings from user feedback of a novel digital mental health assessment.

作者信息

Funnell Erin Lucy, Spadaro Benedetta, Benacek Jiri, Martin-Key Nayra A, Metcalfe Tim, Olmert Tony, Barton-Owen Giles, Bahn Sabine

机构信息

Cambridge Centre for Neuropsychiatric Research, Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, United Kingdom.

Psyomics Ltd., Cambridge, United Kingdom.

出版信息

Front Psychiatry. 2022 Oct 20;13:1018095. doi: 10.3389/fpsyt.2022.1018095. eCollection 2022.

DOI:10.3389/fpsyt.2022.1018095
PMID:36339864
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9630572/
Abstract

Digital mental health interventions (DMHI) have the potential to address barriers to face-to-face mental healthcare. In particular, digital mental health assessments offer the opportunity to increase access, reduce strain on services, and improve identification. Despite the potential of DMHIs there remains a high drop-out rate. Therefore, investigating user feedback may elucidate how to best design and deliver an engaging digital mental health assessment. The current study aimed to understand 1304 user perspectives of (1) a newly developed digital mental health assessment to determine which features users consider to be positive or negative and (2) the Composite International Diagnostic Interview (CIDI) employed in a previous large-scale pilot study. A thematic analysis method was employed to identify themes in feedback to three question prompts related to: (1) the questions included in the digital assessment, (2) the homepage design and reminders, and (3) the assessment results report. The largest proportion of the positive and negative feedback received regarding the questions included in the assessment ( = 706), focused on the quality of the assessment ( = 183, 25.92% and = 284, 40.23%, respectively). Feedback for the homepage and reminders ( = 671) was overwhelmingly positive, with the largest two themes identified being positive usability (i.e., ease of use; = 500, 74.52%) and functionality (i.e., reminders; = 278, 41.43%). The most frequently identified negative theme in results report feedback ( = 794) was related to the report content ( = 309, 38.92%), with users stating it was lacking in-depth information. Nevertheless, the most frequent positive theme regarding the results report feedback was related to wellbeing outcomes ( = 145, 18.26%), with users stating the results report, albeit brief, encouraged them to seek professional support. Interestingly, despite some negative feedback, most users reported that completing the digital mental health assessment has been worthwhile ( = 1,017, 77.99%). Based on these findings, we offer recommendations to address potential barriers to user engagement with a digital mental health assessment. In summary, we recommend undertaking extensive co-design activities during the development of digital assessment tools, flexibility in answering modalities within digital assessment, customizable additional features such as reminders, transparency of diagnostic decision making, and an actionable results report with personalized mental health resources.

摘要

数字心理健康干预措施(DMHI)有潜力消除面对面心理保健的障碍。特别是,数字心理健康评估提供了增加可及性、减轻服务压力并改善识别的机会。尽管DMHI有潜力,但仍存在较高的退出率。因此,调查用户反馈可能有助于阐明如何以最佳方式设计和提供引人入胜的数字心理健康评估。本研究旨在了解1304名用户对以下两方面的看法:(1)一项新开发的数字心理健康评估,以确定用户认为哪些功能是积极的或消极的;(2)在之前一项大规模试点研究中使用的综合国际诊断访谈(CIDI)。采用主题分析方法,从与以下三个问题提示相关的反馈中识别主题:(1)数字评估中包含的问题;(2)主页设计和提醒;(3)评估结果报告。关于评估中包含的问题(n = 706)收到的正面和负面反馈中,最大比例集中在评估质量上(分别为n = 183,25.92%和n = 284,40.23%)。关于主页和提醒(n = 671)的反馈绝大多数是积极的,确定的最大两个主题是积极的可用性(即易用性;n = 500,74.52%)和功能(即提醒;n = 278,41.43%)。结果报告反馈(n = 794)中最常确定的负面主题与报告内容有关(n = 309,38.92%),用户表示报告缺乏深入信息。然而,关于结果报告反馈最常见的正面主题与幸福感结果有关(n = 145,18.26%),用户表示结果报告虽然简短,但鼓励他们寻求专业支持。有趣的是,尽管有一些负面反馈,但大多数用户报告称完成数字心理健康评估是值得的(n = 1017,77.99%)。基于这些发现,我们提出了一些建议,以解决用户参与数字心理健康评估的潜在障碍。总之,我们建议在数字评估工具的开发过程中开展广泛的协同设计活动,数字评估中回答方式的灵活性,可定制的附加功能如提醒,诊断决策的透明度,以及包含个性化心理健康资源的可操作结果报告。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/75bf/9630572/1965c2dd9674/fpsyt-13-1018095-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/75bf/9630572/883d364db938/fpsyt-13-1018095-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/75bf/9630572/02856daa19eb/fpsyt-13-1018095-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/75bf/9630572/0bea7c2bec9f/fpsyt-13-1018095-g003.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/75bf/9630572/895b714960a3/fpsyt-13-1018095-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/75bf/9630572/4e7138336074/fpsyt-13-1018095-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/75bf/9630572/1965c2dd9674/fpsyt-13-1018095-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/75bf/9630572/883d364db938/fpsyt-13-1018095-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/75bf/9630572/02856daa19eb/fpsyt-13-1018095-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/75bf/9630572/0bea7c2bec9f/fpsyt-13-1018095-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/75bf/9630572/5b9134a393d4/fpsyt-13-1018095-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/75bf/9630572/895b714960a3/fpsyt-13-1018095-g005.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/75bf/9630572/1965c2dd9674/fpsyt-13-1018095-g007.jpg

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Indian J Psychol Med. 2022 Jul;44(4):332-340. doi: 10.1177/02537176211034578. Epub 2021 Sep 21.
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