homes for older people A data linkage study of factors associated - - PowerPoint PPT Presentation

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homes for older people A data linkage study of factors associated - - PowerPoint PPT Presentation

Admission to care homes for older people A data linkage study of factors associated with entry to care Dr Mark McCann 1 , Dr Michael Donnelly 2 , Prof. Emily Grundy 3 , Dr Dermot OReilly 4 1 MRC/CSO Social and Public Health Sciences Unit,


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Admission to care homes for older people

A data linkage study of factors associated with entry to care

Dr Mark McCann1, Dr Michael Donnelly2, Prof. Emily Grundy3, Dr Dermot O’Reilly4

1MRC/CSO Social and Public Health Sciences Unit,

University of Glasgow

2UKCRC Centre of Excellence for Public Health,

Queen’s University Belfast

3Dept of Social Policy, London School of Economics 4Administrative Data Research Centre, Queen’s

University Belfast

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The changing population

  • Life expectancy has steadily increased
  • Young people today can expect to live longer than ever before
  • Greater numbers will live into very old age
  • BUT......Age isn’t everything!
  • Greater proportion of childless people
  • Change in living arrangements
  • Smaller families
  • Two generation households, extended family less common
  • Economic upturns & downturns
  • Cumulative experience of inequality and poverty
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Future population health

  • Social situation today Health situation tomorrow
  • Information about care home utilisation can
  • Give insight into the causes of current patterns
  • Provide clues as to ‘what works’
  • Forecast the direction of travel for social causes
  • Health research as part of the toolkit for crafting policy
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NILS linkages Health Card Registration Change of address - every six months General registrar’s office Deaths – at regular intervals 2001 Census forms Age, sex, health, house tenure, living arrangements Co-resident age, health

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Additional linkages Regulation & Quality Improvement Authority Residential & Nursing homes Land & Property Services Rateable value of houses Geo-referencing Health & Social Care Trust Boundaries Multiple Deprivation Measures Delineation of Settlements

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Health Card Register Census 2001 Change of address 2007 Care home addresses RQIA

Urban/Rural House value Living arrangement Settlements LPS Census Household

Death records

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All NILS members 65 + years not in care 51,619 individuals Six year follow up from Census day 2,138 (4%) admitted Cox proportional hazard regression Time to admission as outcome Right censored at time of death or end of 6 years Several risk factors considered All research carried out in a “secure setting”

The study cohort

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Living arrangements

The importance of living with others versus living alone Specific issues: Living with family versus non family? One person, more than one person, many people? Broader question – what sort of households provide support?

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Males Females

Lives alone: Never married 7% 7% Widowed 11% 32% Separated 3% 2% Married 1% Lives with: Partner 50% 29% Partner & Children 17% 9% Partner & others 2% 4% Siblings 3% Children 4% 12% Others 3% 5%

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MRC/CSO Social and Public Health Sciences Unit, University of Glasgow.

0.5 1 1.5 2 2.5 3 3.5 4 4.5

M F M F M F M F M F M F M F M F M F Never married Widowed Separated Married Partner Partner and children Partner and

  • thers

Siblings Children Others Lives alone: Lives with:

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Housing tenure and value

Wealth = health Wealth = greater purchasing power? Wealth = more unpaid care?

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0% 10% 20% 30% 40% 50% 60% 70% 80%

Renting < £75k £75k to <£95k £95k to <£120k £120k to <£160k £160k or more

Self reported health by house tenure and value

Fairly/Not good health (% of group) LLTI (% of group)

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0.5 0.6 0.7 0.8 0.9 1 1.1 Renting < £75k £75k to <£95k £95k to <£120k £120k to <£160k £160k or more

Admission risk relative to ‘renting’ admission rate

Care home admission risk by house tenure and value

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Urban and rural areas

Different lifestyle and health experience Difference in family support Difference in community support

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0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

Urban Intermediate Rural

General Health by Area Type

Not good Fair Good

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Gender difference

5 10 15 20 25 30 35 40 45

Percentage in each living arrangement by area type

Urban Intermediate Rural

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0.4 0.6 0.8 1 1.2 1.4 1.6

Urban Intermediate Rural Urban Intermediate Rural Urban Intermediate Rural Full Males Females Relative risk of admission

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Findings & Implications

Living arrangements Variation in support in the home more important than levels of support outside the home Spouses more supportive than siblings Living with children and spouse particularly supportive Current trends in family structure suggests less supportive environments for future generations Increase formal services or change household structures

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Findings & Implications

House ownership and value “We won’t pay with our homes” Greater caring burden for less affluent groups, knock on consequences for carers’ employment and health Financial crises - fewer deprived people (more often in poor health) will own their homes Future house values may not recoup care costs Funding sources other than housing: will be popular may well be necessary

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Findings & Implications

Urban and rural areas Different levels of health, different service needs More supportive household structures in rural areas Different family cultures? More space in rural houses? Less care home admission in rural areas Demand induced supply? Moves closer to home? Different deployment of formal home care? Can the rural experience be copied in urban areas?

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Thank you for listening

The help provided by the staff of the Northern Ireland Longitudinal Study (NILS) and the NILS Research Support Unit is acknowledged. The NILS is funded by the Health and Social Care Research and Development Division of the Public Health Agency (HSC R&D Division) and NISRA. The NILS-RSU is funded by the ESRC and the Northern Ireland Government. The authors alone are responsible for the interpretation of the data and any views or opinions presented are solely those of the author and do not necessarily represent those of NISRA/NILS. Many thanks to the staff at the Regulation and Quality Improvement Authority for their help with the care home data. Mark McCann holds a Medical Research Council (MRC)/University of Glasgow fellowship supported by MRC partnership grant MC/PC/13027. Twitter @Mark_McCann

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