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Establishing the impact of COVID-19 on the health outcomes of domiciliary care workers in Wales using routine data: a protocol for the OSCAR study
INTRODUCTION: Domiciliary care workers (DCWs) continued providing social care to adults in their own homes throughout the COVID-19 pandemic. Evidence of the impact of COVID-19 on health outcomes of DCWs is currently mixed, probably reflecting methodological limitations of existing studies. The risk...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Swansea University
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8280712/ https://www.ncbi.nlm.nih.gov/pubmed/34345715 http://dx.doi.org/10.23889/ijpds.v5i4.1656 |
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author | Lugg-Widger, Fiona Cannings-John, Rebecca Akbari, Ashley Brookes-Howell, Lucy Hood, Kerenza John, Ann Jones, Hywel Prout, Hayley Schoenbuchner, Simon Thomas, Daniel Robling, Michael |
author_facet | Lugg-Widger, Fiona Cannings-John, Rebecca Akbari, Ashley Brookes-Howell, Lucy Hood, Kerenza John, Ann Jones, Hywel Prout, Hayley Schoenbuchner, Simon Thomas, Daniel Robling, Michael |
author_sort | Lugg-Widger, Fiona |
collection | PubMed |
description | INTRODUCTION: Domiciliary care workers (DCWs) continued providing social care to adults in their own homes throughout the COVID-19 pandemic. Evidence of the impact of COVID-19 on health outcomes of DCWs is currently mixed, probably reflecting methodological limitations of existing studies. The risk of COVID-19 to workers providing care in people’s homes remains unknown. OBJECTIVES: To quantify the impact of COVID-19 upon health outcomes of DCWs in Wales, to explore causes of variation, and to extrapolate to the rest of the UK DCW population. METHODS: Mixed methods design comprising cohort study of DCWs and exploratory qualitative interviews. Data for all registered DCWs in Wales is available via the SAIL Databank using a secured, privacy-protecting encrypted anonymisation process. Occupational registration data for DCWs working during the pandemic will be combined with EHR outcome data within the SAIL Databank including clinical codes that identify suspected and confirmed COVID-19 cases. We will report rates of suspected and confirmed COVID-19 infections and key health outcomes including mortality and explore variation (by factors such as age, sex, ethnicity, deprivation quintile, rurality, employer, comorbidities) using regression modelling, adjusting for clustering of outcome within Health Board, region and employer. A maximum variation sample of Welsh DCWs will be approached for qualitative interview using a strategy to include participants that vary across factors such as sex, age, ethnicity and employer. The interviews will inform the quantitative analysis modelling. We will generalise the quantitative findings to other UK nations. DISCUSSION: Using anonymised linked occupational and EHR data and qualitative interviews, the OSCAR study will quantify the risk of COVID-19 on DCWs’ health and explore sources of variation. This will provide a secure base for informing public health policy and occupational guidance. |
format | Online Article Text |
id | pubmed-8280712 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Swansea University |
record_format | MEDLINE/PubMed |
spelling | pubmed-82807122021-08-02 Establishing the impact of COVID-19 on the health outcomes of domiciliary care workers in Wales using routine data: a protocol for the OSCAR study Lugg-Widger, Fiona Cannings-John, Rebecca Akbari, Ashley Brookes-Howell, Lucy Hood, Kerenza John, Ann Jones, Hywel Prout, Hayley Schoenbuchner, Simon Thomas, Daniel Robling, Michael Int J Popul Data Sci Population Data Science INTRODUCTION: Domiciliary care workers (DCWs) continued providing social care to adults in their own homes throughout the COVID-19 pandemic. Evidence of the impact of COVID-19 on health outcomes of DCWs is currently mixed, probably reflecting methodological limitations of existing studies. The risk of COVID-19 to workers providing care in people’s homes remains unknown. OBJECTIVES: To quantify the impact of COVID-19 upon health outcomes of DCWs in Wales, to explore causes of variation, and to extrapolate to the rest of the UK DCW population. METHODS: Mixed methods design comprising cohort study of DCWs and exploratory qualitative interviews. Data for all registered DCWs in Wales is available via the SAIL Databank using a secured, privacy-protecting encrypted anonymisation process. Occupational registration data for DCWs working during the pandemic will be combined with EHR outcome data within the SAIL Databank including clinical codes that identify suspected and confirmed COVID-19 cases. We will report rates of suspected and confirmed COVID-19 infections and key health outcomes including mortality and explore variation (by factors such as age, sex, ethnicity, deprivation quintile, rurality, employer, comorbidities) using regression modelling, adjusting for clustering of outcome within Health Board, region and employer. A maximum variation sample of Welsh DCWs will be approached for qualitative interview using a strategy to include participants that vary across factors such as sex, age, ethnicity and employer. The interviews will inform the quantitative analysis modelling. We will generalise the quantitative findings to other UK nations. DISCUSSION: Using anonymised linked occupational and EHR data and qualitative interviews, the OSCAR study will quantify the risk of COVID-19 on DCWs’ health and explore sources of variation. This will provide a secure base for informing public health policy and occupational guidance. Swansea University 2021-07-14 /pmc/articles/PMC8280712/ /pubmed/34345715 http://dx.doi.org/10.23889/ijpds.v5i4.1656 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 Lugg-Widger, Fiona Cannings-John, Rebecca Akbari, Ashley Brookes-Howell, Lucy Hood, Kerenza John, Ann Jones, Hywel Prout, Hayley Schoenbuchner, Simon Thomas, Daniel Robling, Michael Establishing the impact of COVID-19 on the health outcomes of domiciliary care workers in Wales using routine data: a protocol for the OSCAR study |
title | Establishing the impact of COVID-19 on the health outcomes of domiciliary care workers in Wales using routine data: a protocol for the OSCAR study |
title_full | Establishing the impact of COVID-19 on the health outcomes of domiciliary care workers in Wales using routine data: a protocol for the OSCAR study |
title_fullStr | Establishing the impact of COVID-19 on the health outcomes of domiciliary care workers in Wales using routine data: a protocol for the OSCAR study |
title_full_unstemmed | Establishing the impact of COVID-19 on the health outcomes of domiciliary care workers in Wales using routine data: a protocol for the OSCAR study |
title_short | Establishing the impact of COVID-19 on the health outcomes of domiciliary care workers in Wales using routine data: a protocol for the OSCAR study |
title_sort | establishing the impact of covid-19 on the health outcomes of domiciliary care workers in wales using routine data: a protocol for the oscar study |
topic | Population Data Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8280712/ https://www.ncbi.nlm.nih.gov/pubmed/34345715 http://dx.doi.org/10.23889/ijpds.v5i4.1656 |
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