Recorded Mental Health Recovery Narratives as a Resource for People Affected by Mental Health Problems: Development of the Narrative Experiences Online (NEON) Intervention.

internet intervention development mental health mobile phone narrative medicine narratives online intervention patient involvement recovery storytelling

Journal

JMIR formative research
ISSN: 2561-326X
Titre abrégé: JMIR Form Res
Pays: Canada
ID NLM: 101726394

Informations de publication

Date de publication:
27 May 2021
Historique:
received: 20 09 2020
accepted: 12 11 2020
revised: 06 11 2020
entrez: 27 5 2021
pubmed: 28 5 2021
medline: 28 5 2021
Statut: epublish

Résumé

The internet enables sharing of narratives about health concerns on a substantial scale, and some digital health narratives have been integrated into digital health interventions. Narratives describing recovery from health problems are a focus of research, including those presented in recorded (eg, invariant) form. No clinical trial has been conducted on a web-based intervention providing access to a collection of Recorded Recovery Narratives (RRNs). This study presents knowledge produced through the development of the Narrative Experiences Online (NEON) Intervention, a web-based intervention incorporating the algorithmic recommendation of RRNs. Knowledge was gathered through knowledge integration (KI) activities. KI1 synthesized previous studies to produce the NEON Impact Model describing how accessing RRNs produces health-related outcomes. KI2 developed curation principles for the NEON Collection of RRNs through consultation with the NEON Lived Experience Advisory Panel and the curation of a preliminary collection. KI3 identified harm minimization strategies for the NEON Intervention through consultation with the NEON International Advisory Board and Lived Experience Advisory Panel. The NEON Intervention was finalized through 2 research studies (RS). In RS1, mental health service users (N=40) rated the immediate impact of randomly presented narratives to validate narrative feedback questions used to inform the recommendation algorithm. In RS2, mental health service users (n=25) were interviewed about their immediate response to a prototype of the NEON Intervention and trial procedures and then were interviewed again after 1 month of use. The usability and acceptability of the prototype and trial procedures were evaluated and refinements were made. KI1 produced the NEON Impact Model, which identifies moderators (recipient and context), mechanisms of connection (reflection, comparison, learning, and empathy), processes (identification of change from narrative structure or content and internalization of observed change), and outcomes (helpful and unhelpful). KI2 identified 22 curation principles, including a mission to build a large, heterogeneous collection to maximize opportunities for connection. KI3 identified seven harm minimization strategies, including content warnings, proactive and reactive blocking of narratives, and providing resources for the self-management of emotional distress. RS1 found variation in the impact of narratives on different participants, indicating that participant-level feedback on individual narratives is needed to inform a recommender system. The order of presentation did not predict narrative feedback. RS2 identified amendments to web-based trial procedures and the NEON Intervention. Participants accessed some narratives multiple times, use reduced over the 4-week period, and narrative feedback was provided for 31.8% (105/330) of narrative accesses. RRNs can be integrated into web-based interventions. Evaluating the NEON Intervention in a clinical trial is feasible. The mixed methods design for developing the NEON Intervention can guide its extension to other clinical populations, the design of other web-based mental health interventions, and the development of narrative-based interventions in mental health.

Sections du résumé

BACKGROUND BACKGROUND
The internet enables sharing of narratives about health concerns on a substantial scale, and some digital health narratives have been integrated into digital health interventions. Narratives describing recovery from health problems are a focus of research, including those presented in recorded (eg, invariant) form. No clinical trial has been conducted on a web-based intervention providing access to a collection of Recorded Recovery Narratives (RRNs).
OBJECTIVE OBJECTIVE
This study presents knowledge produced through the development of the Narrative Experiences Online (NEON) Intervention, a web-based intervention incorporating the algorithmic recommendation of RRNs.
METHODS METHODS
Knowledge was gathered through knowledge integration (KI) activities. KI1 synthesized previous studies to produce the NEON Impact Model describing how accessing RRNs produces health-related outcomes. KI2 developed curation principles for the NEON Collection of RRNs through consultation with the NEON Lived Experience Advisory Panel and the curation of a preliminary collection. KI3 identified harm minimization strategies for the NEON Intervention through consultation with the NEON International Advisory Board and Lived Experience Advisory Panel. The NEON Intervention was finalized through 2 research studies (RS). In RS1, mental health service users (N=40) rated the immediate impact of randomly presented narratives to validate narrative feedback questions used to inform the recommendation algorithm. In RS2, mental health service users (n=25) were interviewed about their immediate response to a prototype of the NEON Intervention and trial procedures and then were interviewed again after 1 month of use. The usability and acceptability of the prototype and trial procedures were evaluated and refinements were made.
RESULTS RESULTS
KI1 produced the NEON Impact Model, which identifies moderators (recipient and context), mechanisms of connection (reflection, comparison, learning, and empathy), processes (identification of change from narrative structure or content and internalization of observed change), and outcomes (helpful and unhelpful). KI2 identified 22 curation principles, including a mission to build a large, heterogeneous collection to maximize opportunities for connection. KI3 identified seven harm minimization strategies, including content warnings, proactive and reactive blocking of narratives, and providing resources for the self-management of emotional distress. RS1 found variation in the impact of narratives on different participants, indicating that participant-level feedback on individual narratives is needed to inform a recommender system. The order of presentation did not predict narrative feedback. RS2 identified amendments to web-based trial procedures and the NEON Intervention. Participants accessed some narratives multiple times, use reduced over the 4-week period, and narrative feedback was provided for 31.8% (105/330) of narrative accesses.
CONCLUSIONS CONCLUSIONS
RRNs can be integrated into web-based interventions. Evaluating the NEON Intervention in a clinical trial is feasible. The mixed methods design for developing the NEON Intervention can guide its extension to other clinical populations, the design of other web-based mental health interventions, and the development of narrative-based interventions in mental health.

Identifiants

pubmed: 34042595
pii: v5i5e24417
doi: 10.2196/24417
pmc: PMC8193481
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e24417

Subventions

Organisme : NCATS NIH HHS
ID : UL1 TR001863
Pays : United States

Informations de copyright

©Mike Slade, Stefan Rennick-Egglestone, Joy Llewellyn-Beardsley, Caroline Yeo, James Roe, Sylvia Bailey, Roger Andrew Smith, Susie Booth, Julian Harrison, Adaresh Bhogal, Patricia Penas Morán, Ada Hui, Dania Quadri, Clare Robinson, Melanie Smuk, Marianne Farkas, Larry Davidson, Lian van der Krieke, Emily Slade, Carmel Bond, Joe Nicholson, Andrew Grundy, Ashleigh Charles, Laurie Hare-Duke, Kristian Pollock, Fiona Ng. Originally published in JMIR Formative Research (https://formative.jmir.org), 27.05.2021.

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Auteurs

Mike Slade (M)

School of Health Sciences, Institute of Mental Health, University of Nottingham, Nottingham, United Kingdom.

Stefan Rennick-Egglestone (S)

School of Health Sciences, Institute of Mental Health, University of Nottingham, Nottingham, United Kingdom.

Joy Llewellyn-Beardsley (J)

School of Health Sciences, Institute of Mental Health, University of Nottingham, Nottingham, United Kingdom.

Caroline Yeo (C)

School of Health Sciences, Institute of Mental Health, University of Nottingham, Nottingham, United Kingdom.

James Roe (J)

National Institute for Health Research, ARC East Midlands, University of Nottingham, Nottingham, United Kingdom.

Sylvia Bailey (S)

NEON Lived Experience Advisory Panel, Nottingham, United Kingdom.

Roger Andrew Smith (RA)

NEON Lived Experience Advisory Panel, Nottingham, United Kingdom.

Susie Booth (S)

NEON Lived Experience Advisory Panel, Nottingham, United Kingdom.

Julian Harrison (J)

NEON Lived Experience Advisory Panel, Nottingham, United Kingdom.

Adaresh Bhogal (A)

NEON Lived Experience Advisory Panel, Nottingham, United Kingdom.

Patricia Penas Morán (P)

Department of Personality, Assessment and Psychological Treatment, University of Deusto, Bilbao, Spain.

Ada Hui (A)

School of Health Sciences, Institute of Mental Health, University of Nottingham, Nottingham, United Kingdom.

Dania Quadri (D)

GKT School of Medical Education, King's College London, London, United Kingdom.

Clare Robinson (C)

Centre for Primary Care & Public Health, Pragmatic Clinical Trials Unit, Queen Mary University of London, London, United Kingdom.

Melanie Smuk (M)

Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, United Kingdom.

Marianne Farkas (M)

College of Health and Rehabilitation Sciences, Boston University, Boston, MA, United States.

Larry Davidson (L)

Yale School of Medicine, Yale University, New Haven, CT, United States.

Lian van der Krieke (L)

University Medical Center Groningen, University Center of Psychiatry, University of Groningen, Groningen, Netherlands.

Emily Slade (E)

Department of Computer Science, University of Oxford, Oxford, United Kingdom.

Carmel Bond (C)

Nottingham University Business School, University of Nottingham, Nottingham, United Kingdom.

Joe Nicholson (J)

School of Humanities, University of Nottingham, Nottingham, United Kingdom.

Andrew Grundy (A)

School of Health Sciences, Institute of Mental Health, University of Nottingham, Nottingham, United Kingdom.

Ashleigh Charles (A)

School of Health Sciences, Institute of Mental Health, University of Nottingham, Nottingham, United Kingdom.

Laurie Hare-Duke (L)

School of Health Sciences, Institute of Mental Health, University of Nottingham, Nottingham, United Kingdom.

Kristian Pollock (K)

School of Health Sciences, University of Nottingham, Nottingham, United Kingdom.

Fiona Ng (F)

School of Health Sciences, Institute of Mental Health, University of Nottingham, Nottingham, United Kingdom.

Classifications MeSH