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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.

Fiona Victoria Lugg-Widger, Rebecca Cannings-John Orcid Logo, Ashley Akbari Orcid Logo, Lucy Brookes-Howell, Kerenza Hood, Ann John Orcid Logo, Hywel Jones Orcid Logo, Hayley Prout Orcid Logo, Simon Schoenbuchner, Daniel Thomas, Michael Robling

International Journal of Population Data Science, Volume: 5, Issue: 4

Swansea University Authors: Ashley Akbari Orcid Logo, Ann John Orcid Logo

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DOI (Published version): 10.23889/ijpds.v5i4.1656

Abstract

IntroductionDomiciliary 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...

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Published in: International Journal of Population Data Science
ISSN: 2399-4908
Published: Swansea University 2021
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URI: https://cronfa.swan.ac.uk/Record/cronfa57453
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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.ObjectivesTo 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.MethodsMixed 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.DiscussionUsing 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. 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The Centre for Trials Research receives funding from Healthand Care Research Wales and Cancer Research UK. The dataacquisition and COVID-19 research was supported by HealthData Research UK [HDR-9006] which receives its funding fromHDR UK Ltd, and the ADR Wales programme of work) fundedADR UK (grant ES/S007393/1).</funders><projectreference/><lastEdited>2022-08-16T12:58:30.4832823</lastEdited><Created>2021-07-26T20:35:20.1644643</Created><path><level id="1">Faculty of Medicine, Health and Life Sciences</level><level id="2">Swansea University Medical School - Medicine</level></path><authors><author><firstname>Fiona Victoria</firstname><surname>Lugg-Widger</surname><order>1</order></author><author><firstname>Rebecca</firstname><surname>Cannings-John</surname><orcid>0000-0001-5235-6517</orcid><order>2</order></author><author><firstname>Ashley</firstname><surname>Akbari</surname><orcid>0000-0003-0814-0801</orcid><order>3</order></author><author><firstname>Lucy</firstname><surname>Brookes-Howell</surname><order>4</order></author><author><firstname>Kerenza</firstname><surname>Hood</surname><order>5</order></author><author><firstname>Ann</firstname><surname>John</surname><orcid>0000-0002-5657-6995</orcid><order>6</order></author><author><firstname>Hywel</firstname><surname>Jones</surname><orcid>0000-0001-8308-2002</orcid><order>7</order></author><author><firstname>Hayley</firstname><surname>Prout</surname><orcid>0000-0003-0170-7027</orcid><order>8</order></author><author><firstname>Simon</firstname><surname>Schoenbuchner</surname><order>9</order></author><author><firstname>Daniel</firstname><surname>Thomas</surname><order>10</order></author><author><firstname>Michael</firstname><surname>Robling</surname><order>11</order></author></authors><documents><document><filename>57453__20659__700122d7e9e54a0882c7ebdf22eb3f03.pdf</filename><originalFilename>57453.pdf</originalFilename><uploaded>2021-08-18T13:00:49.8455897</uploaded><type>Output</type><contentLength>736983</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><documentNotes>&#xA9;The Authors. 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spelling 2022-08-16T12:58:30.4832823 v2 57453 2021-07-26 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. aa1b025ec0243f708bb5eb0a93d6fb52 0000-0003-0814-0801 Ashley Akbari Ashley Akbari true false ed8a9c37bd7b7235b762d941ef18ee55 0000-0002-5657-6995 Ann John Ann John true false 2021-07-26 HDAT IntroductionDomiciliary 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.ObjectivesTo 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.MethodsMixed 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.DiscussionUsing 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. Journal Article International Journal of Population Data Science 5 4 Swansea University 2399-4908 domiciliary care worker; COVID-19; mortality; natural experiment; administrative data 14 7 2021 2021-07-14 10.23889/ijpds.v5i4.1656 COLLEGE NANME Health Data Science COLLEGE CODE HDAT Swansea University This research is funded by the Economic & Social ResearchCouncil (ESRC), as part of UK Research & Innovation’s rapidresponse to COVID-19. The Centre for Trials Research receives funding from Healthand Care Research Wales and Cancer Research UK. The dataacquisition and COVID-19 research was supported by HealthData Research UK [HDR-9006] which receives its funding fromHDR UK Ltd, and the ADR Wales programme of work) fundedADR UK (grant ES/S007393/1). 2022-08-16T12:58:30.4832823 2021-07-26T20:35:20.1644643 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Medicine Fiona Victoria Lugg-Widger 1 Rebecca Cannings-John 0000-0001-5235-6517 2 Ashley Akbari 0000-0003-0814-0801 3 Lucy Brookes-Howell 4 Kerenza Hood 5 Ann John 0000-0002-5657-6995 6 Hywel Jones 0000-0001-8308-2002 7 Hayley Prout 0000-0003-0170-7027 8 Simon Schoenbuchner 9 Daniel Thomas 10 Michael Robling 11 57453__20659__700122d7e9e54a0882c7ebdf22eb3f03.pdf 57453.pdf 2021-08-18T13:00:49.8455897 Output 736983 application/pdf Version of Record true ©The Authors. This work is licensed under a Creative Commons Attribution 4.0 International License. true eng https://creativecommons.org/licenses/by/4.0/
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.
spellingShingle 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.
Ashley Akbari
Ann John
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_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_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.
author_id_str_mv aa1b025ec0243f708bb5eb0a93d6fb52
ed8a9c37bd7b7235b762d941ef18ee55
author_id_fullname_str_mv aa1b025ec0243f708bb5eb0a93d6fb52_***_Ashley Akbari
ed8a9c37bd7b7235b762d941ef18ee55_***_Ann John
author Ashley Akbari
Ann John
author2 Fiona Victoria Lugg-Widger
Rebecca Cannings-John
Ashley Akbari
Lucy Brookes-Howell
Kerenza Hood
Ann John
Hywel Jones
Hayley Prout
Simon Schoenbuchner
Daniel Thomas
Michael Robling
format Journal article
container_title International Journal of Population Data Science
container_volume 5
container_issue 4
publishDate 2021
institution Swansea University
issn 2399-4908
doi_str_mv 10.23889/ijpds.v5i4.1656
publisher Swansea University
college_str Faculty of Medicine, Health and Life Sciences
hierarchytype
hierarchy_top_id facultyofmedicinehealthandlifesciences
hierarchy_top_title Faculty of Medicine, Health and Life Sciences
hierarchy_parent_id facultyofmedicinehealthandlifesciences
hierarchy_parent_title Faculty of Medicine, Health and Life Sciences
department_str Swansea University Medical School - Medicine{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}Swansea University Medical School - Medicine
document_store_str 1
active_str 0
description IntroductionDomiciliary 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.ObjectivesTo 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.MethodsMixed 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.DiscussionUsing 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.
published_date 2021-07-14T04:13:12Z
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