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  • 标题:Data Resource Profile The Scottish Social Care Survey (SCS) and the Scottish Care Home Census (SCHC)
  • 本地全文:下载
  • 作者:David Alexander Gunn Henderson ; Jennifer Kirsty Burton ; Ellen Lynch
  • 期刊名称:International Journal of Population Data Science
  • 电子版ISSN:2399-4908
  • 出版年度:2019
  • 卷号:4
  • 期号:1
  • 页码:1-11
  • DOI:10.23889/ijpds.v4i1.1108
  • 出版社:Swansea University
  • 摘要:IntroductionLinked 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. MethodsDeterministic 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. ResultsFor 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. ConclusionIndexing of the SCS and SCHC to CHI offers a new and rich resource of data for health and social care research.
  • 关键词:Social Care; Care Homes; Data Linkage; Administrative data
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