Assessing Diversity and Inclusivity is the Next Frontier in Mental Health Recovery Narrative Research and Practice.

clinical practice collective action curation demographic digital health diversity inclusivity mental health narrative research recovery narrative telemedicine web-based mental health interventions

Journal

JMIR mental health
ISSN: 2368-7959
Titre abrégé: JMIR Ment Health
Pays: Canada
ID NLM: 101658926

Informations de publication

Date de publication:
17 Apr 2023
Historique:
received: 25 11 2022
accepted: 01 01 2023
revised: 24 12 2022
medline: 18 4 2023
entrez: 17 4 2023
pubmed: 18 4 2023
Statut: epublish

Résumé

Demand for digital health interventions is increasing in many countries. The use of recorded mental health recovery narratives in digital health interventions is becoming more widespread in clinical practice. Mental health recovery narratives are first-person lived experience accounts of recovery from mental health problems, including struggles and successes over time. Helpful impacts of recorded mental health recovery narratives include connectedness with the narrative and validation of experiences. Possible harms include feeling disconnected and excluded from others. Diverse narrative collections from many types of narrators and describing multiple ways to recover are important to maximize the opportunity for service users to benefit through connection and to minimize the likelihood of harm. Mental health clinicians need to know whether narrative collections are sufficiently diverse to recommend to service users. However, no method exists for assessing the diversity and inclusivity of existing or new narrative collections. We argue that assessing diversity and inclusivity is the next frontier in mental health recovery narrative research and practice. This is important, but methodologically and ethically complex. In this viewpoint, we propose and evaluate one diversity and two inclusivity assessment methods. The diversity assessment method involves use of the Simpson Diversity Index. The two inclusivity assessment methods are based on comparator demographic rates and arbitrary thresholds, respectively. These methods were applied to four narrative collections as a case study. Refinements are needed regarding a narrative assessment tool in terms of its practicality and cultural adaptation.

Identifiants

pubmed: 37067882
pii: v10i1e44601
doi: 10.2196/44601
pmc: PMC10152384
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e44601

Informations de copyright

©Yasuhiro Kotera, Stefan Rennick-Egglestone, Fiona Ng, Joy Llewellyn-Beardsley, Yasmin Ali, Chris Newby, Caroline Fox, Emily Slade, Simon Bradstreet, Julian Harrison, Donna Franklin, Olamide Todowede, Mike Slade. Originally published in JMIR Mental Health (https://mental.jmir.org), 17.04.2023.

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Auteurs

Yasuhiro Kotera (Y)

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.

Fiona Ng (F)

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.

Yasmin Ali (Y)

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

Chris Newby (C)

School of Medicine, Queen's Medical Centre, University of Nottingham, Nottingham, United Kingdom.

Caroline Fox (C)

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

Emily Slade (E)

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

Simon Bradstreet (S)

School of Health & Wellbeing, University of Glasgow, Glasgow, United Kingdom.

Julian Harrison (J)

Narrative Experiences Online Lived Experience Advisory Panel, Nottingham, United Kingdom.

Donna Franklin (D)

Narrative Experiences Online Lived Experience Advisory Panel, Nottingham, United Kingdom.

Olamide Todowede (O)

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

Mike Slade (M)

School of Health Sciences, Institute of Mental Health, University of Nottingham, Nottingham, United Kingdom.
Faculty of Nursing and Health Sciences, Health and Community Participation Division, Nord University, Namsos, Norway.

Classifications MeSH