Joy Llewellyn-Beardsley, Skye Barbic, Stefan Rennick-Egglestone, Fiona Ng, James Roe, Ada Hui, Donna Franklin, Emilia Deakin, Laurie Hare-Duke, Mike Slade
{"title":"INCRESE：编制一份记录心理健康康复叙述特征的清单。","authors":"Joy Llewellyn-Beardsley, Skye Barbic, Stefan Rennick-Egglestone, Fiona Ng, James Roe, Ada Hui, Donna Franklin, Emilia Deakin, Laurie Hare-Duke, Mike Slade","doi":"","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>Mental 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.</p><p><strong>Research design and methods: </strong>A 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).</p><p><strong>Results: </strong>Multiple 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.</p><p><strong>Conclusion: </strong>INCRESE 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.</p>","PeriodicalId":73927,"journal":{"name":"Journal of recovery in mental health","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7612151/pdf/","citationCount":"0","resultStr":"{\"title\":\"INCRESE: Development of an Inventory to Characterize Recorded Mental Health Recovery Narratives.\",\"authors\":\"Joy Llewellyn-Beardsley, Skye Barbic, Stefan Rennick-Egglestone, Fiona Ng, James Roe, Ada Hui, Donna Franklin, Emilia Deakin, Laurie Hare-Duke, Mike Slade\",\"doi\":\"\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>Mental 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.</p><p><strong>Research design and methods: </strong>A 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).</p><p><strong>Results: </strong>Multiple 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.</p><p><strong>Conclusion: </strong>INCRESE 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.</p>\",\"PeriodicalId\":73927,\"journal\":{\"name\":\"Journal of recovery in mental health\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7612151/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of recovery in mental health\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of recovery in mental health","FirstCategoryId":"1085","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
INCRESE: Development of an Inventory to Characterize Recorded Mental Health Recovery Narratives.
Objective: Mental 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 methods: A 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).
Results: Multiple 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.
Conclusion: INCRESE 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.
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