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Who knows best? A Q methodology study to explore perspectives of professional stakeholders and community participants on health in low-income communities

BACKGROUND: Health inequalities in the UK have proved to be stubborn, and health gaps between best and worst-off are widening. While there is growing understanding of how the main causes of poor health are perceived among different stakeholders, similar insight is lacking regarding what solutions sh...

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Autores principales: McHugh, Neil, Baker, Rachel, Biosca, Olga, Ibrahim, Fatma, Donaldson, Cam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6332861/
https://www.ncbi.nlm.nih.gov/pubmed/30642316
http://dx.doi.org/10.1186/s12913-019-3884-9
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author McHugh, Neil
Baker, Rachel
Biosca, Olga
Ibrahim, Fatma
Donaldson, Cam
author_facet McHugh, Neil
Baker, Rachel
Biosca, Olga
Ibrahim, Fatma
Donaldson, Cam
author_sort McHugh, Neil
collection PubMed
description BACKGROUND: Health inequalities in the UK have proved to be stubborn, and health gaps between best and worst-off are widening. While there is growing understanding of how the main causes of poor health are perceived among different stakeholders, similar insight is lacking regarding what solutions should be prioritised. Furthermore, we do not know the relationship between perceived causes and solutions to health inequalities, whether there is agreement between professional stakeholders and people living in low-income communities or agreement within these groups. METHODS: Q methodology was used to identify and describe the shared perspectives (‘subjectivities’) that exist on i) why health is worse in low-income communities (‘Causes’) and ii) the ways that health could be improved in these same communities (‘Solutions’). Purposively selected individuals (n = 53) from low-income communities (n = 25) and professional stakeholder groups (n = 28) ranked ordered sets of statements – 34 ‘Causes’ and 39 ‘Solutions’ – onto quasi-normal shaped grids according to their point of view. Factor analysis was used to identify shared points of view. ‘Causes’ and ‘Solutions’ were analysed independently, before examining correlations between perspectives on causes and perspectives on solutions. RESULTS: Analysis produced three factor solutions for both the ‘Causes’ and ‘Solutions’. Broadly summarised these accounts for ‘Causes’ are: i) ‘Unfair Society’, ii) ‘Dependent, workless and lazy’, iii) ‘Intergenerational hardships’ and for ‘Solutions’: i) ‘Empower communities’, ii) ‘Paternalism’, iii) ‘Redistribution’. No professionals defined (i.e. had a significant association with one factor only) the ‘Causes’ factor ‘Dependent, workless and lazy’ and the ‘Solutions’ factor ‘Paternalism’. No community participants defined the ‘Solutions’ factor ‘Redistribution’. The direction of correlations between the two sets of factor solutions – ‘Causes’ and ‘Solutions’ – appear to be intuitive, given the accounts identified. CONCLUSIONS: Despite the plurality of views there was broad agreement across accounts about issues relating to money. This is important as it points a way forward for tackling health inequalities, highlighting areas for policy and future research to focus on. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12913-019-3884-9) contains supplementary material, which is available to authorized users.
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spelling pubmed-63328612019-01-23 Who knows best? A Q methodology study to explore perspectives of professional stakeholders and community participants on health in low-income communities McHugh, Neil Baker, Rachel Biosca, Olga Ibrahim, Fatma Donaldson, Cam BMC Health Serv Res Research Article BACKGROUND: Health inequalities in the UK have proved to be stubborn, and health gaps between best and worst-off are widening. While there is growing understanding of how the main causes of poor health are perceived among different stakeholders, similar insight is lacking regarding what solutions should be prioritised. Furthermore, we do not know the relationship between perceived causes and solutions to health inequalities, whether there is agreement between professional stakeholders and people living in low-income communities or agreement within these groups. METHODS: Q methodology was used to identify and describe the shared perspectives (‘subjectivities’) that exist on i) why health is worse in low-income communities (‘Causes’) and ii) the ways that health could be improved in these same communities (‘Solutions’). Purposively selected individuals (n = 53) from low-income communities (n = 25) and professional stakeholder groups (n = 28) ranked ordered sets of statements – 34 ‘Causes’ and 39 ‘Solutions’ – onto quasi-normal shaped grids according to their point of view. Factor analysis was used to identify shared points of view. ‘Causes’ and ‘Solutions’ were analysed independently, before examining correlations between perspectives on causes and perspectives on solutions. RESULTS: Analysis produced three factor solutions for both the ‘Causes’ and ‘Solutions’. Broadly summarised these accounts for ‘Causes’ are: i) ‘Unfair Society’, ii) ‘Dependent, workless and lazy’, iii) ‘Intergenerational hardships’ and for ‘Solutions’: i) ‘Empower communities’, ii) ‘Paternalism’, iii) ‘Redistribution’. No professionals defined (i.e. had a significant association with one factor only) the ‘Causes’ factor ‘Dependent, workless and lazy’ and the ‘Solutions’ factor ‘Paternalism’. No community participants defined the ‘Solutions’ factor ‘Redistribution’. The direction of correlations between the two sets of factor solutions – ‘Causes’ and ‘Solutions’ – appear to be intuitive, given the accounts identified. CONCLUSIONS: Despite the plurality of views there was broad agreement across accounts about issues relating to money. This is important as it points a way forward for tackling health inequalities, highlighting areas for policy and future research to focus on. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12913-019-3884-9) contains supplementary material, which is available to authorized users. BioMed Central 2019-01-14 /pmc/articles/PMC6332861/ /pubmed/30642316 http://dx.doi.org/10.1186/s12913-019-3884-9 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
McHugh, Neil
Baker, Rachel
Biosca, Olga
Ibrahim, Fatma
Donaldson, Cam
Who knows best? A Q methodology study to explore perspectives of professional stakeholders and community participants on health in low-income communities
title Who knows best? A Q methodology study to explore perspectives of professional stakeholders and community participants on health in low-income communities
title_full Who knows best? A Q methodology study to explore perspectives of professional stakeholders and community participants on health in low-income communities
title_fullStr Who knows best? A Q methodology study to explore perspectives of professional stakeholders and community participants on health in low-income communities
title_full_unstemmed Who knows best? A Q methodology study to explore perspectives of professional stakeholders and community participants on health in low-income communities
title_short Who knows best? A Q methodology study to explore perspectives of professional stakeholders and community participants on health in low-income communities
title_sort who knows best? a q methodology study to explore perspectives of professional stakeholders and community participants on health in low-income communities
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6332861/
https://www.ncbi.nlm.nih.gov/pubmed/30642316
http://dx.doi.org/10.1186/s12913-019-3884-9
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