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Insight and equality: A systematic review and meta-analysis of socio-demographic associations

BACKGROUND: Insight into illness is often used in clinical and legal contexts, for example, as evidence of decision-making capacity. However, it is unclear whether this disadvantages certain groups protected under equality legislation. To our knowledge, this question has yet to be addressed systemat...

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Autores principales: Ariyo, Kevin, Ruck Keene, Alex, David, Anthony S, Owen, Gareth S
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9549177/
https://www.ncbi.nlm.nih.gov/pubmed/34348507
http://dx.doi.org/10.1177/00207640211036174
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author Ariyo, Kevin
Ruck Keene, Alex
David, Anthony S
Owen, Gareth S
author_facet Ariyo, Kevin
Ruck Keene, Alex
David, Anthony S
Owen, Gareth S
author_sort Ariyo, Kevin
collection PubMed
description BACKGROUND: Insight into illness is often used in clinical and legal contexts, for example, as evidence of decision-making capacity. However, it is unclear whether this disadvantages certain groups protected under equality legislation. To our knowledge, this question has yet to be addressed systematically. Therefore, the present study reviews empirical studies that look at the relationship between insight and sociodemographic variables. METHODS: A systematic search of six bibliographic databases (CENTRAL, CINAHL, Cochrane Library of Systematic Reviews, EMBASE, MEDLINE and PsycINFO) was conducted, which yielded 6,192 results. Study characteristics and outcomes (associations between insight and socio-demographic variables) were then extracted from 207 eligible studies. This included protected characteristics under the Equality Act (2010): age, sex, ethnicity, marital status and religion. Weighted confidence estimates were calculated and relevant moderators included in a random effects meta-analysis. A study protocol was registered prospectively on PROSPERO, ID: CRD42019120117. RESULTS: Insight was not strongly associated with any sociodemographic variable. Better insight was weakly but significantly associated with white ethnicity, being employed, younger age and more years of education. The age associations were mostly explained by relevant moderating variables. For people with schizophrenia, the associations between sociodemographic variables and insight were comparable to associations with decision making capacity. CONCLUSIONS: Our results suggest that insight is not strongly associated with any sociodemographic variables. Further research is needed to clarify potential associations, particularly with non-white ethnicity and proxies for social support.
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spelling pubmed-95491772022-10-11 Insight and equality: A systematic review and meta-analysis of socio-demographic associations Ariyo, Kevin Ruck Keene, Alex David, Anthony S Owen, Gareth S Int J Soc Psychiatry Original Articles BACKGROUND: Insight into illness is often used in clinical and legal contexts, for example, as evidence of decision-making capacity. However, it is unclear whether this disadvantages certain groups protected under equality legislation. To our knowledge, this question has yet to be addressed systematically. Therefore, the present study reviews empirical studies that look at the relationship between insight and sociodemographic variables. METHODS: A systematic search of six bibliographic databases (CENTRAL, CINAHL, Cochrane Library of Systematic Reviews, EMBASE, MEDLINE and PsycINFO) was conducted, which yielded 6,192 results. Study characteristics and outcomes (associations between insight and socio-demographic variables) were then extracted from 207 eligible studies. This included protected characteristics under the Equality Act (2010): age, sex, ethnicity, marital status and religion. Weighted confidence estimates were calculated and relevant moderators included in a random effects meta-analysis. A study protocol was registered prospectively on PROSPERO, ID: CRD42019120117. RESULTS: Insight was not strongly associated with any sociodemographic variable. Better insight was weakly but significantly associated with white ethnicity, being employed, younger age and more years of education. The age associations were mostly explained by relevant moderating variables. For people with schizophrenia, the associations between sociodemographic variables and insight were comparable to associations with decision making capacity. CONCLUSIONS: Our results suggest that insight is not strongly associated with any sociodemographic variables. Further research is needed to clarify potential associations, particularly with non-white ethnicity and proxies for social support. SAGE Publications 2021-08-04 2022-11 /pmc/articles/PMC9549177/ /pubmed/34348507 http://dx.doi.org/10.1177/00207640211036174 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Articles
Ariyo, Kevin
Ruck Keene, Alex
David, Anthony S
Owen, Gareth S
Insight and equality: A systematic review and meta-analysis of socio-demographic associations
title Insight and equality: A systematic review and meta-analysis of socio-demographic associations
title_full Insight and equality: A systematic review and meta-analysis of socio-demographic associations
title_fullStr Insight and equality: A systematic review and meta-analysis of socio-demographic associations
title_full_unstemmed Insight and equality: A systematic review and meta-analysis of socio-demographic associations
title_short Insight and equality: A systematic review and meta-analysis of socio-demographic associations
title_sort insight and equality: a systematic review and meta-analysis of socio-demographic associations
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9549177/
https://www.ncbi.nlm.nih.gov/pubmed/34348507
http://dx.doi.org/10.1177/00207640211036174
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