Evidence map›Paper›PMID 34988284›Full record

ArticleJournal of recovery in mental health2020

INCRESE: Development of an Inventory to Characterize Recorded Mental Health Recovery Narratives.

Joy Llewellyn-Beardsley, Skye Barbic, Stefan Rennick-Egglestone, Fiona Ng, James Roe, Ada Hui, Donna Franklin, Emilia Deakin, Laurie Hare-Duke, Mike Slade

Abstract read
In one paragraph

Article in Journal of recovery in mental health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Joy Llewellyn-BeardsleySchool of Health Sciences, Institute of Mental Health, University of Nottingham, Nottingham, United Kingdom.ORCID https://orcid.org/0000-0003-0525-6358
Skye BarbicDepartment of Occupational Science and Occupational Therapy, Faculty of Medicine, University of British Columbia, Vancouver, Canada.
Stefan Rennick-EgglestoneSchool of Health Sciences, Institute of Mental Health, University of Nottingham, Nottingham, United Kingdom.
Fiona NgSchool of Health Sciences, Institute of Mental Health, University of Nottingham, Nottingham, United Kingdom.
James RoeNational Institute for Health Research, ARC East Midlands, University of Nottingham, Nottingham, United Kingdom.
Ada HuiSchool of Health Sciences, Institute of Mental Health, University of Nottingham, Nottingham, United Kingdom.
Donna FranklinNEON Lived Experience Advisory Panel, Nottingham, United Kingdom.
Emilia DeakinSchool of Health Sciences, Institute of Mental Health, University of Nottingham, Nottingham, United Kingdom.
Laurie Hare-DukeSchool of Health Sciences, Institute of Mental Health, University of Nottingham, Nottingham, United Kingdom.
Mike SladeSchool of Health Sciences, Institute of Mental Health, University of Nottingham, Nottingham, United Kingdom.

Funding

Department of Health RP-PG-0615-20016
6 · The paper itself

Abstract

objectiveMental health recovery narratives are increasingly used in clinical practice, public health campaigns, and as directly-accessed online resources. No instrument exists to describe characteristics of individual recovery narratives. The aims were to develop and evaluate an inventory to characterize recorded recovery narratives. RESEARCH DESIGN AND

methodsA preliminary version of the Inventory of Characteristics of Recovery Stories (INCRESE) was generated from an existing theory-base. Feasibility and acceptability were evaluated by two coders each rating 30 purposively-selected narratives. A refined version was produced and a formal evaluation conducted. Reliability was assessed by four coders each rating 95 purposively-selected narratives. Inter-coder reliability was assessed using Fleiss's kappa coefficients; test-retest reliability was assessed using intra-class correlation coefficients (ICCs).

resultsMultiple refinements to description, coding categories, and language were made. Data completeness was high, and no floor or ceiling effects were found. Intercoder reliability ranged from moderate (k=0.58) to perfect (k=1.00) agreement. Test-retest reliability ranged from moderate (ICC=0.57) to complete (ICC=1.00) agreement. The final INCRESE comprises 77 items spanning five sections: Narrative Eligibility; Narrative Mode; Narrator Characteristics; Narrative Characteristics; Narrative Content.

conclusionINCRESE is the first evaluated tool to characterize mental health recovery narratives. It addresses current concerns around normative recovery narratives being used to promote compulsory wellness, e.g. by identifying narratives that reject diagnosis as an explanatory model and those with non-upward trajectories. INCRESE can be used to establish the diversity of a narrative collection and will be used in the NEON trials (ISRCTN11152837, ISRCTN63197153, ISRCTN76355273) to allow a recommender system to match narratives to participants.

Indexed as

Content AnalysisDiversityInventoryMental HealthRecovery NarrativesReliability

Identifiers

PMID34988284
PMCPMC7612151

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.