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

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

doi:10.2196/39479

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

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

Department of Psychological Medicine
King's College Hospital
Centre for Pain Research, University of Bath, Department of Experimental Psychology, University of Oxford, Department of Anaesthesiology & Pain Medicine, University of Washington, Clinical Health Psychology, University College London, and University College London Hospitals, and Psychology Department, Kings College London.
Section on Clinical Psychology, Department of Education, Psychology, Philosophy, University of Cagliari, Italy; Unit of Research and development, Parc Sanitari Sant Joan de Déu, Barcelona, Spain.
Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam University Medical Center, Location VUmc, Amsterdam, the Netherlands; Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam University Medical Centers, Location Academic Medical Center, University of Amsterdam, Amsterdam, the Netherlands; Radiology, University Medical Center, Utrecht, the Netherlands; Kate Gleason College of Engineering, Rochester Institute of Technology, NY, USA; Ghent Institute for Functional and M
KU Leuven
Health Service & Population Research department
School of Applied Psychology, Griffith University, Australia; Health Psychology and Behavioural Medicine Research Group, Faculty of Health Sciences, School of Psychology, Curtin University, Australia. Electronic address: [email protected].
Sussex Univ Hosp, University of Sussex, Sussex Cardiac Ctr

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

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.

Original language	English
Article number	e39479
Pages (from-to)	e39479
Journal	JMIR Human Factors
Volume	10
DOIs	https://doi.org/10.2196/39479
Publication status	Published - 26 Jan 2023

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White, K. M., Dawe-Lane, E., Siddi, S., Lamers, F., Simblett, S., Riquelme Alacid, G., Ivan, A., Myin-Germeys, I., Haro, J. M., Oetzmann, C., Popat, P., Rintala, A., Rubio-Abadal, E., Wykes, T., Henderson, C., Hotopf, M., & Matcham, F. (2023). Understanding the Subjective Experience of Long-term Remote Measurement Technology Use for Symptom Tracking in People With Depression: Multisite Longitudinal Qualitative Analysis. JMIR Human Factors, 10, e39479. Article e39479. https://doi.org/10.2196/39479

@article{a1c83ecff5784d9a9c8de0b99443930b,

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

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.",

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

note = "{\textcopyright}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. Funding Information: MH is the principal investigator of the RADAR-CNS program, a precompetitive public-private partnership funded by the Innovative Medicines Initiative and the European Federation of Pharmaceutical Industries and Associations. The program received support from Janssen, Biogen, Merck & Co, Union Chimique Belge, and Lundbeck. JMH has received economic compensation for participating in advisory boards or giving educational lectures from Eli Lilly & Co, Sanofi, Lundbeck, and Otsuka. CO is supported by the UK Medical Research Council (MR/N013700/1) and King{\textquoteright}s College London member of the MRC Doctoral Training Partnership in Biomedical Sciences. Funding Information: This paper represents an independent research part funded by the National Institute for Health Research (NIHR) Maudsley Biomedical Research Centre at South London and Maudsley National Health Service (NHS) Foundation Trust and King{\textquoteright}s College London. The views expressed are those of the authors and not necessarily those of the NHS, the NIHR, or the Department of Health and Social Care. Funding Information: Participant recruitment in Amsterdam was partially accomplished through Hersenonderzoek.nl, a Dutch web-based registry that facilitates participant recruitment for neuroscience studies [39]. Hersenonderzoek.nl is funded by ZonMw-Memorabel (project number 73305095003), a project in the context of the Dutch Deltaplan Dementie, Gieskes-Strijbis Foundation, the Alzheimer{\textquoteright}s Society in the Netherlands, and Brain Foundation Netherlands. Participants in Spain were recruited through the following institutions: Parc Sanitari Sant Joan de D{\'e}u network of mental health services (Barcelona), Institut Catal{\`a} de la Salut primary care services (Barcelona), Institut Pere Mata-Mental Health Care (Terrassa), and Hospital Cl{\'i}nico San Carlos (Madrid). Funding Information: The RADAR-CNS project received funding from the Innovative Medicines Initiative (IMI) 2 Joint Undertaking under grant 115902. This joint undertaking received support from the European Union{\textquoteright}s Horizon 2020 research and innovation program and European Federation of Pharmaceutical Industries and Associations. This communication reflects the views of the RADAR-CNS consortium and neither IMI nor the European Union and European Federation of Pharmaceutical Industries and Associations are liable for any use that may be made of the information contained herein. The funding body was not involved in study design, data collection or analysis, or data interpretation. Publisher Copyright: {\textcopyright}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.",

year = "2023",

month = jan,

day = "26",

doi = "10.2196/39479",

language = "English",

volume = "10",

pages = "e39479",

journal = "JMIR Human Factors",

issn = "2292-9495",

publisher = "JMIR Publications",

}

White, KM , Dawe-Lane, E, Siddi, S, Lamers, F, Simblett, S, Riquelme Alacid, G, Ivan, A, Myin-Germeys, I, Haro, JM, Oetzmann, C , Popat, P, Rintala, A, Rubio-Abadal, E, Wykes, T , Henderson, C , Hotopf, M & Matcham, F 2023, 'Understanding the Subjective Experience of Long-term Remote Measurement Technology Use for Symptom Tracking in People With Depression: Multisite Longitudinal Qualitative Analysis', JMIR Human Factors, vol. 10, e39479, pp. e39479. https://doi.org/10.2196/39479

TY - JOUR

T1 - Understanding the Subjective Experience of Long-term Remote Measurement Technology Use for Symptom Tracking in People With Depression

T2 - Multisite Longitudinal Qualitative Analysis

AU - White, Katie M

AU - Dawe-Lane, Erin

AU - Siddi, Sara

AU - Lamers, Femke

AU - Simblett, Sara

AU - Riquelme Alacid, Gemma

AU - Ivan, Alina

AU - Myin-Germeys, Inez

AU - Haro, Josep Maria

AU - Oetzmann, Carolin

AU - Popat, Priya

AU - Rintala, Aki

AU - Rubio-Abadal, Elena

AU - Wykes, Til

AU - Henderson, Claire

AU - Hotopf, Matthew

AU - Matcham, Faith

N1 - ©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. Funding Information: MH is the principal investigator of the RADAR-CNS program, a precompetitive public-private partnership funded by the Innovative Medicines Initiative and the European Federation of Pharmaceutical Industries and Associations. The program received support from Janssen, Biogen, Merck & Co, Union Chimique Belge, and Lundbeck. JMH has received economic compensation for participating in advisory boards or giving educational lectures from Eli Lilly & Co, Sanofi, Lundbeck, and Otsuka. CO is supported by the UK Medical Research Council (MR/N013700/1) and King’s College London member of the MRC Doctoral Training Partnership in Biomedical Sciences. Funding Information: This paper represents an independent research part funded by the National Institute for Health Research (NIHR) Maudsley Biomedical Research Centre at South London and Maudsley National Health Service (NHS) Foundation Trust and King’s College London. The views expressed are those of the authors and not necessarily those of the NHS, the NIHR, or the Department of Health and Social Care. Funding Information: Participant recruitment in Amsterdam was partially accomplished through Hersenonderzoek.nl, a Dutch web-based registry that facilitates participant recruitment for neuroscience studies [39]. Hersenonderzoek.nl is funded by ZonMw-Memorabel (project number 73305095003), a project in the context of the Dutch Deltaplan Dementie, Gieskes-Strijbis Foundation, the Alzheimer’s Society in the Netherlands, and Brain Foundation Netherlands. Participants in Spain were recruited through the following institutions: Parc Sanitari Sant Joan de Déu network of mental health services (Barcelona), Institut Català de la Salut primary care services (Barcelona), Institut Pere Mata-Mental Health Care (Terrassa), and Hospital Clínico San Carlos (Madrid). Funding Information: The RADAR-CNS project received funding from the Innovative Medicines Initiative (IMI) 2 Joint Undertaking under grant 115902. This joint undertaking received support from the European Union’s Horizon 2020 research and innovation program and European Federation of Pharmaceutical Industries and Associations. This communication reflects the views of the RADAR-CNS consortium and neither IMI nor the European Union and European Federation of Pharmaceutical Industries and Associations are liable for any use that may be made of the information contained herein. The funding body was not involved in study design, data collection or analysis, or data interpretation. Publisher 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.

PY - 2023/1/26

Y1 - 2023/1/26

N2 - 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.

AB - 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.

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JO - JMIR Human Factors

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

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