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了解抑郁症患者使用长期远程测量技术进行症状跟踪的主观体验:多地点纵向定性分析

Understanding the Subjective Experience of Long-term Remote Measurement Technology Use for Symptom Tracking in People With Depression: Multisite Longitudinal Qualitative Analysis.

作者信息

White Katie M, Dawe-Lane Erin, Siddi Sara, Lamers Femke, Simblett Sara, Riquelme Alacid Gemma, Ivan Alina, Myin-Germeys Inez, Haro Josep Maria, Oetzmann Carolin, Popat Priya, Rintala Aki, Rubio-Abadal Elena, Wykes Til, Henderson Claire, Hotopf Matthew, Matcham Faith

机构信息

Department of Psychological Medicine, King's College London, London, United Kingdom.

Department of Psychology, King's College London, London, United Kingdom.

出版信息

JMIR Hum Factors. 2023 Jan 26;10:e39479. doi: 10.2196/39479.

DOI:10.2196/39479
PMID:36701179
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9945920/
Abstract

BACKGROUND

Remote measurement technologies (RMTs) have the potential to revolutionize major depressive disorder (MDD) disease management by offering the ability to assess, monitor, and predict symptom changes. However, the promise of RMT data depends heavily on sustained user engagement over extended periods. In this paper, we report a longitudinal qualitative study of the subjective experience of people with MDD engaging with RMTs to provide insight into system usability and user experience and to provide the basis for future promotion of RMT use in research and clinical practice.

OBJECTIVE

We aimed to understand the subjective experience of long-term engagement with RMTs using qualitative data collected in a longitudinal study of RMTs for monitoring MDD. The objectives were to explore the key themes associated with long-term RMT use and to identify recommendations for future system engagement.

METHODS

In this multisite, longitudinal qualitative research study, 124 semistructured interviews were conducted with 99 participants across the United Kingdom, Spain, and the Netherlands at 3-month, 12-month, and 24-month time points during a study exploring RMT use (the Remote Assessment of Disease and Relapse-Major Depressive Disorder study). Data were analyzed using thematic analysis, and interviews were audio recorded, transcribed, and coded in the native language, with the resulting quotes translated into English.

RESULTS

There were 5 main themes regarding the subjective experience of long-term RMT use: research-related factors, the utility of RMTs for self-management, technology-related factors, clinical factors, and system amendments and additions.

CONCLUSIONS

The subjective experience of long-term RMT use can be considered from 2 main perspectives: experiential factors (how participants construct their experience of engaging with RMTs) and system-related factors (direct engagement with the technologies). A set of recommendations based on these strands are proposed for both future research and the real-world implementation of RMTs into clinical practice. Future exploration of experiential engagement with RMTs will be key to the successful use of RMTs in clinical care.

摘要

背景

远程测量技术(RMTs)有潜力通过提供评估、监测和预测症状变化的能力,彻底改变重度抑郁症(MDD)的疾病管理。然而,RMT数据的前景在很大程度上取决于用户在较长时间内的持续参与度。在本文中,我们报告了一项关于MDD患者使用RMTs的主观体验的纵向定性研究,以深入了解系统可用性和用户体验,并为未来在研究和临床实践中推广使用RMTs提供依据。

目的

我们旨在利用在一项监测MDD的RMTs纵向研究中收集的定性数据,了解长期使用RMTs的主观体验。目标是探索与长期使用RMTs相关的关键主题,并确定未来系统参与度的建议。

方法

在这项多地点纵向定性研究中,在一项探索RMTs使用的研究(疾病和复发远程评估 - 重度抑郁症研究)期间,在3个月、12个月和24个月的时间点,对英国、西班牙和荷兰的99名参与者进行了124次半结构化访谈。使用主题分析对数据进行分析,访谈进行了音频记录、转录,并以母语编码,所得引语翻译成英语。

结果

关于长期使用RMTs的主观体验有5个主要主题:研究相关因素、RMTs在自我管理中的效用、技术相关因素、临床因素以及系统的修改和添加。

结论

长期使用RMTs的主观体验可以从两个主要角度来考虑:体验因素(参与者如何构建他们使用RMTs的体验)和系统相关因素(与技术的直接互动)。基于这些方面,为未来的研究以及将RMTs实际应用于临床实践提出了一系列建议。未来对与RMTs的体验式互动的探索将是RMTs在临床护理中成功应用的关键。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5024/9945920/0d1c2f0b0889/humanfactors_v10i1e39479_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5024/9945920/8cb3c879d1fb/humanfactors_v10i1e39479_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5024/9945920/227dfcd29130/humanfactors_v10i1e39479_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5024/9945920/0d1c2f0b0889/humanfactors_v10i1e39479_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5024/9945920/8cb3c879d1fb/humanfactors_v10i1e39479_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5024/9945920/227dfcd29130/humanfactors_v10i1e39479_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5024/9945920/0d1c2f0b0889/humanfactors_v10i1e39479_fig3.jpg

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