Data Resource Profile The Scottish Social Care Survey (SCS) and the Scottish Care Home Census (SCHC)

Introduction Linked health care datasets have been used effectively in Scotland for some time. Use of social care data has been much more limited, partly because responsibility for these services is distributed across multiple local authorities. However, there are substantial interactions between he...

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Main Authors: David Alexander Gunn Henderson, Jennifer Kirsty Burton, Ellen Lynch, David Clark, Julie Rintoul, Nick Bailey
Format: Article
Language:English
Published: Swansea University 2019-09-01
Series:International Journal of Population Data Science
Subjects:
Online Access:https://ijpds.org/article/view/1108
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author David Alexander Gunn Henderson
Jennifer Kirsty Burton
Ellen Lynch
David Clark
Julie Rintoul
Nick Bailey
author_facet David Alexander Gunn Henderson
Jennifer Kirsty Burton
Ellen Lynch
David Clark
Julie Rintoul
Nick Bailey
author_sort David Alexander Gunn Henderson
collection DOAJ
description Introduction Linked health care datasets have been used effectively in Scotland for some time. Use of social care data has been much more limited, partly because responsibility for these services is distributed across multiple local authorities. However, there are substantial interactions between health and social care (also known internationally as long-term care) services, and keen policy interest in better understanding these. We introduce two social care resources that can now be linked to health datasets at a population level across Scotland to study these interdependencies. These data emerge from the Scottish Government’s centralised collation of data from mandatory returns provided by local authorities and care homes. Methods Deterministic and Probabilistic methods were used to match the Social Care Survey (SCS) and Scottish Care Home Census (SCHC) to the Community Health Index (CHI) number via the National Records of Scotland (NRS) Research Indexing Spine. Results For the years 2010/11 to 2015/16, an overall match rate of 91.2% was achieved for the SCS to CHI from 31 of Scotland’s 32 local authority areas. This rate varied from 76.7% to 98.5% for local authority areas. A match rate of 89.8% to CHI was achieved for the SCHC in years 2012/13 to 2015/16 but only 52.5% for the years 2010/11 to 2011/12. Conclusion Indexing of the SCS and SCHC to CHI offers a new and rich resource of data for health and social care research.
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spelling doaj.art-a500d90d84d14cdb978514671dff0d3d2023-12-02T04:53:34ZengSwansea UniversityInternational Journal of Population Data Science2399-49082019-09-014110.23889/ijpds.v4i1.1108Data Resource Profile The Scottish Social Care Survey (SCS) and the Scottish Care Home Census (SCHC)David Alexander Gunn Henderson0Jennifer Kirsty Burton1Ellen Lynch2David Clark3Julie Rintoul4Nick Bailey5Urban Big Data Centre, University of Glasgow, 7 Lilybank Gardens, Glasgow, G12 8RZ, UKInstitute of Cardiovascular and Medical Sciences, University of Glasgow, BHF Glasgow Cardiovascular Research Centre (GCRC) 126 University Place Glasgow G12 8TAHealth and Social Care Analysis Division, Scottish Government, St. Andrew's House Regent Road Edinburgh EH1 3DGNational Records for Scotland, HM General Register House 2 Princes Street Edinburgh EH1 3YYHealth and Social Care Analysis Division, Scottish Government, St. Andrew's House Regent Road Edinburgh EH1 3DGUrban Big Data Centre, University of Glasgow, 7 Lilybank Gardens, Glasgow, G12 8RZ, UKIntroduction Linked health care datasets have been used effectively in Scotland for some time. Use of social care data has been much more limited, partly because responsibility for these services is distributed across multiple local authorities. However, there are substantial interactions between health and social care (also known internationally as long-term care) services, and keen policy interest in better understanding these. We introduce two social care resources that can now be linked to health datasets at a population level across Scotland to study these interdependencies. These data emerge from the Scottish Government’s centralised collation of data from mandatory returns provided by local authorities and care homes. Methods Deterministic and Probabilistic methods were used to match the Social Care Survey (SCS) and Scottish Care Home Census (SCHC) to the Community Health Index (CHI) number via the National Records of Scotland (NRS) Research Indexing Spine. Results For the years 2010/11 to 2015/16, an overall match rate of 91.2% was achieved for the SCS to CHI from 31 of Scotland’s 32 local authority areas. This rate varied from 76.7% to 98.5% for local authority areas. A match rate of 89.8% to CHI was achieved for the SCHC in years 2012/13 to 2015/16 but only 52.5% for the years 2010/11 to 2011/12. Conclusion Indexing of the SCS and SCHC to CHI offers a new and rich resource of data for health and social care research.https://ijpds.org/article/view/1108Social Care; Care Homes; Data Linkage; Administrative data
spellingShingle David Alexander Gunn Henderson
Jennifer Kirsty Burton
Ellen Lynch
David Clark
Julie Rintoul
Nick Bailey
Data Resource Profile The Scottish Social Care Survey (SCS) and the Scottish Care Home Census (SCHC)
International Journal of Population Data Science
Social Care; Care Homes; Data Linkage; Administrative data
title Data Resource Profile The Scottish Social Care Survey (SCS) and the Scottish Care Home Census (SCHC)
title_full Data Resource Profile The Scottish Social Care Survey (SCS) and the Scottish Care Home Census (SCHC)
title_fullStr Data Resource Profile The Scottish Social Care Survey (SCS) and the Scottish Care Home Census (SCHC)
title_full_unstemmed Data Resource Profile The Scottish Social Care Survey (SCS) and the Scottish Care Home Census (SCHC)
title_short Data Resource Profile The Scottish Social Care Survey (SCS) and the Scottish Care Home Census (SCHC)
title_sort data resource profile the scottish social care survey scs and the scottish care home census schc
topic Social Care; Care Homes; Data Linkage; Administrative data
url https://ijpds.org/article/view/1108
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