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

depression engagement mental health mobile phone qualitative remote measurement technology telehealth

Journal

JMIR human factors
ISSN: 2292-9495
Titre abrégé: JMIR Hum Factors
Pays: Canada
ID NLM: 101666561

Informations de publication

Date de publication:
26 Jan 2023
Historique:
received: 13 05 2022
accepted: 07 11 2022
revised: 07 10 2022
entrez: 26 1 2023
pubmed: 27 1 2023
medline: 27 1 2023
Statut: epublish

Résumé

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. 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. 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. 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. 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.

Sections du résumé

BACKGROUND 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 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 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 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 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.

Identifiants

pubmed: 36701179
pii: v10i1e39479
doi: 10.2196/39479
pmc: PMC9945920
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e39479

Informations de copyright

©Katie M White, Erin Dawe-Lane, Sara Siddi, Femke Lamers, Sara Simblett, Gemma Riquelme Alacid, Alina Ivan, Inez Myin-Germeys, Josep Maria Haro, Carolin Oetzmann, Priya Popat, Aki Rintala, Elena Rubio-Abadal, Til Wykes, Claire Henderson, Matthew Hotopf, Faith Matcham. Originally published in JMIR Human Factors (https://humanfactors.jmir.org), 26.01.2023.

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Auteurs

Katie M White (KM)

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

Erin Dawe-Lane (E)

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

Sara Siddi (S)

Parc Sanitari Sant Joan de Déu, Fundació Sant Joan de Déu, CIBERSAM, Universitat de Barcelona, Barcelona, Spain.

Femke Lamers (F)

Department of Psychiatry, Amsterdam University Medical Center, Vrije Universiteit, Amsterdam, Netherlands.

Sara Simblett (S)

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

Gemma Riquelme Alacid (G)

Parc Sanitari Sant Joan de Déu, Fundació Sant Joan de Déu, CIBERSAM, Universitat de Barcelona, Barcelona, Spain.

Alina Ivan (A)

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

Inez Myin-Germeys (I)

Center for Contextual Psychiatry, Department of Neurosciences, UK Leuven, Leuven, Belgium.

Josep Maria Haro (JM)

Parc Sanitari Sant Joan de Déu, Fundació Sant Joan de Déu, CIBERSAM, Universitat de Barcelona, Barcelona, Spain.

Carolin Oetzmann (C)

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

Priya Popat (P)

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

Aki Rintala (A)

Center for Contextual Psychiatry, Department of Neurosciences, UK Leuven, Leuven, Belgium.

Elena Rubio-Abadal (E)

Parc Sanitari Sant Joan de Déu, Fundació Sant Joan de Déu, CIBERSAM, Universitat de Barcelona, Barcelona, Spain.

Til Wykes (T)

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

Claire Henderson (C)

Health Service & Population Research Department, King's College London, London, United Kingdom.

Matthew Hotopf (M)

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

Faith Matcham (F)

Department of Psychological Medicine, King's College London, London, United Kingdom.
School of Psychology, University of Sussex, Falmer, Sussex, United Kingdom.

Classifications MeSH