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

Henderson, David; Burton, Jennifer; Lynch, Ellen; Clark, David; Rintoul, Julie; Bailey, Nick

doi:10.23889/ijpds.v4i1.1108

Cited by 6 publications

(10 citation statements)

References 22 publications

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“…Historically, there were two national data sources relevant to care home residents – The Social Care Survey (SCS) and Scottish Care Home Census. The exact content of these sources and their potential strengths and limitations are detailed elsewhere (Henderson, DAG, et al, 2019). However, as Table 2 shows, data harmonisation has not been achieved for basic profile data on residents.…”

Section: Resultsmentioning

confidence: 99%

The Development of a Care Home Data Platform in Scotland: Insights from the Care Home Innovation Partnership, Lothian

Johnston

Henderson

Hockley

et al. 2020

Preprint

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Care homes collect a large amount of data about their residents, and the care provided, but there is a lack of consistency in how this information is collected. There is also a need to minimise the burden of data collection on staff, ensure information informs and supports person-centred care, and that this data is then of use to regulatory agencies, policy makers and researchers. We examined the data collected in six Care Homes in Lothian, Scotland. We extracted the meta-data collected, cross-referenced definitions and assessed the degree of current harmonisation between individual care homes and with data sets currently in use in Scotland and internationally. We interviewed the care home managers to identify data collection processes, views and experiences of current data availability, gaps, access and issues of capacity and capability in relation to data management and analytics. Our work has illustrated the scale of the data collected by care homes, the varied formats and heterogeneity of scope and definition. The inventory of 15 core data items that emerged, serves to expose in detail the foundations of care home data sets. The groundwork illuminated the heterogeneity in tools and assessments used to generate the data and the way in which the data is to be used, affects how it is specified and frequency of collection. By making known the reality of how and why care home data is collected, we can understand better the nuances of each individual data item that collectively create a data platform. We make four recommendations for the development of a national care home data platform.

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Section: Resultsmentioning

confidence: 99%

The Development of a Care Home Data Platform in Scotland: Insights from the Care Home Innovation Partnership, Lothian

Johnston

Henderson

Hockley

et al. 2020

Preprint

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show abstract

“…Figure 1 summarises the multiple sources of care home data. Currently data linkage relies on probabilistic matching using variables including date of birth, name and address, which requires time and specialist skill (13,14). Linkage of care home data to other resources has facilitated useful research, for example by using care home admission as a long term outcome for randomised trial datasets [15].…”

Section: Shared Identifier To Facilitate Linkagementioning

confidence: 99%

Closing the UK care home data gap – methodological challenges and solutions

Burton¹,

Goodman²,

Guthrie³

et al. 2020

IJPDS

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UK care home residents are invisible in national datasets. The COVID-19 pandemic has exposed data failings that have hindered service development and research for years. Fundamental gaps, in terms of population and service demographics coupled with difficulties identifying the population in routine data are a significant limitation. These challenges are a key factor underpinning the failure to provide timely and responsive policy decisions to support care homes. In this commentary we propose changes that could address this data gap, priorities include: (1) Reliable identification of care home residents and their tenure; (2) Common identifiers to facilitate linkage between data sources from different sectors; (3) Individual-level, anonymised data inclusive of mortality irrespective of where death occurs; (4) Investment in capacity for large-scale, anonymised linked data analysis within social care working in partnership with academics; (5) Recognition of the need for collaborative working to use novel data sources, working to understand their meaning and ensure correct interpretation; (6) Better integration of information governance, enabling safe access for legitimate analyses from all relevant sectors; (7) A core national dataset for care homes developed in collaboration with key stakeholders to support integrated care delivery, service planning, commissioning, policy and research. Our suggestions are immediately actionable with political will and investment. We should seize this opportunity to capitalise on the spotlight the pandemic has thrown on the vulnerable populations living in care homes to invest in data-informed approaches to support care, evidence-based policy making and research.

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“…The Social Care Survey (SCS), collected by the Scottish Government, contains individuallevel data from each local authority detailing the types and amounts of social care they provide with recent probabilistic data linkage enabling matching to health data on a national scale [5]. Combined with the provision of Free Personal and Nursing Care (FPNC), this ability to link data means unique analyses regarding health and social care are now possible with Scottish data.…”

Section: Background and Objectivesmentioning

confidence: 99%

“…Receipt of social care was measured by presence or not in the SCS which has been fully described elsewhere including definitions of FPNC and other service types [5]. In brief, information on all individuals who have a social care assessment and go on to receive or use: home care, FPNC, meals, housing support, community alarm, telecare, self-directed support, or social worker/support worker services are included.…”

Section: Social Care Receiptmentioning

confidence: 99%

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Linkage of national health and social care data: a cross-sectional study of multimorbidity and social care use in people aged over 65 years in Scotland

et al. 2020

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Background little is known about the relationship between multimorbidity and social care use (also known as long-term care). The aim of this study was to assess the relationship between receipt of formal social care services and multimorbidity. Methods this retrospective data linkage, observational study included all individuals over the age of 65 in the population of Scotland in financial years 2014–15 and 2015–16 (n = 975,265). The main outcome was receipt of social care measured by presence in the Scottish Social Care Survey. Logistic regression models were used to assess the influence of multimorbidity, age, sex and socioeconomic position on the outcome reporting average marginal effects (AME). Findings 93.3% of those receiving social care had multimorbidity, 16.2% of those with multimorbidity received social care compared with 3.7% of those without. The strongest magnitudes of AME for receiving social care were seen for age and multimorbidity (respectively, 50 and 18% increased probability comparing oldest to youngest and most severe multimorbidity to none). A 5.5% increased probability of receiving social care was observed for the most-deprived compared with the least-deprived. Interpretation higher levels of social care receipt are observed in those with increasing age, severe multimorbidity and living in more deprived areas. Multimorbidity does not fully moderate the relationship between social care receipt and either age or deprivation.

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

Cited by 6 publications

References 22 publications

The Development of a Care Home Data Platform in Scotland: Insights from the Care Home Innovation Partnership, Lothian

The Development of a Care Home Data Platform in Scotland: Insights from the Care Home Innovation Partnership, Lothian

Closing the UK care home data gap – methodological challenges and solutions

Linkage of national health and social care data: a cross-sectional study of multimorbidity and social care use in people aged over 65 years in Scotland

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