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Mental ill-health among health and social care professionals: an analysis using administrative data
OBJECTIVE: Health and Social Care (HSC) workers are at high risk of job-related stress, burnout and mental ill-health. This study examines differences in self-reported mental health and psychotropic medication uptake across HSC occupational groups. METHOD: Northern Ireland (NI) data linkage study of...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Swansea University
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8318063/ https://www.ncbi.nlm.nih.gov/pubmed/34381877 http://dx.doi.org/10.23889/ijpds.v6i1.1649 |
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author | Curran, Emma Rosato, Michael Ferry, Finola Leavey, Gerard |
author_facet | Curran, Emma Rosato, Michael Ferry, Finola Leavey, Gerard |
author_sort | Curran, Emma |
collection | PubMed |
description | OBJECTIVE: Health and Social Care (HSC) workers are at high risk of job-related stress, burnout and mental ill-health. This study examines differences in self-reported mental health and psychotropic medication uptake across HSC occupational groups. METHOD: Northern Ireland (NI) data linkage study of people working in the Health and Care sector, aged between twenty and sixty-four years, enumerated at the 2011 Northern Ireland Census and living in private households, and their uptake of prescribed psychotropic medications during 2011-2012 (using data derived from routine electronically captured information on prescriptions issued within the NHS and linked at an individual level using a NI-specific Health and Care key identifier). Comparing HSC workers with all those professionals not involved in HSC occupations, we used multinomial logistic regression to examine (a) self-reported chronic mental illness and (b) uptake of psychotropic medication by occupational groups adjusting for age, sex and socio-demographic circumstance. RESULTS: When compared against other professionals highest risks for mental health problems (associated with psychotropic prescription uptake) were associated with nursing/midwifery (OR = 1.25: 95%CI = 1.17–1.33; OR = 1.84: 1.58–2.15 for females and males respectively), welfare (OR = 1.34: 1.21–1.48; OR = 1.71: 1.44–2.03) and formal caregiving roles (OR = 1.42: 1.31–1.53; OR = 1.70: 1.50–1.91), again for females/males respectively). These higher risk professions record notable increases in psychotropic medication use. CONCLUSION: Working in the Health and Social Care sector, irrespective of gender, may be more stressful than other jobs. Additionally, self-reported mental ill-health and psychotropic medication treatment both appear to be associated with social class inequity. |
format | Online Article Text |
id | pubmed-8318063 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Swansea University |
record_format | MEDLINE/PubMed |
spelling | pubmed-83180632021-08-10 Mental ill-health among health and social care professionals: an analysis using administrative data Curran, Emma Rosato, Michael Ferry, Finola Leavey, Gerard Int J Popul Data Sci Population Data Science OBJECTIVE: Health and Social Care (HSC) workers are at high risk of job-related stress, burnout and mental ill-health. This study examines differences in self-reported mental health and psychotropic medication uptake across HSC occupational groups. METHOD: Northern Ireland (NI) data linkage study of people working in the Health and Care sector, aged between twenty and sixty-four years, enumerated at the 2011 Northern Ireland Census and living in private households, and their uptake of prescribed psychotropic medications during 2011-2012 (using data derived from routine electronically captured information on prescriptions issued within the NHS and linked at an individual level using a NI-specific Health and Care key identifier). Comparing HSC workers with all those professionals not involved in HSC occupations, we used multinomial logistic regression to examine (a) self-reported chronic mental illness and (b) uptake of psychotropic medication by occupational groups adjusting for age, sex and socio-demographic circumstance. RESULTS: When compared against other professionals highest risks for mental health problems (associated with psychotropic prescription uptake) were associated with nursing/midwifery (OR = 1.25: 95%CI = 1.17–1.33; OR = 1.84: 1.58–2.15 for females and males respectively), welfare (OR = 1.34: 1.21–1.48; OR = 1.71: 1.44–2.03) and formal caregiving roles (OR = 1.42: 1.31–1.53; OR = 1.70: 1.50–1.91), again for females/males respectively). These higher risk professions record notable increases in psychotropic medication use. CONCLUSION: Working in the Health and Social Care sector, irrespective of gender, may be more stressful than other jobs. Additionally, self-reported mental ill-health and psychotropic medication treatment both appear to be associated with social class inequity. Swansea University 2021-07-27 /pmc/articles/PMC8318063/ /pubmed/34381877 http://dx.doi.org/10.23889/ijpds.v6i1.1649 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. |
spellingShingle | Population Data Science Curran, Emma Rosato, Michael Ferry, Finola Leavey, Gerard Mental ill-health among health and social care professionals: an analysis using administrative data |
title | Mental ill-health among health and social care professionals: an analysis using administrative data |
title_full | Mental ill-health among health and social care professionals: an analysis using administrative data |
title_fullStr | Mental ill-health among health and social care professionals: an analysis using administrative data |
title_full_unstemmed | Mental ill-health among health and social care professionals: an analysis using administrative data |
title_short | Mental ill-health among health and social care professionals: an analysis using administrative data |
title_sort | mental ill-health among health and social care professionals: an analysis using administrative data |
topic | Population Data Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8318063/ https://www.ncbi.nlm.nih.gov/pubmed/34381877 http://dx.doi.org/10.23889/ijpds.v6i1.1649 |
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