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Journal of Epidemiology and Community Health 2004;58:958-962; doi:10.1136/jech.2003.017608
Copyright © 2004 by the BMJ Publishing Group Ltd.
Journal of Epidemiology and Community Health 2004;58:958-962
© 2004 BMJ Publishing Group Ltd

THEORY AND METHODS

Impact of nursing home deaths on life expectancy calculations in small areas

Edward S Williams1, Hywell Dinsdale1, Daniel Eayres2 and Farhang Tahzib1

1 Directorate of Public Health, Adur Arun and Worthing tPCT, UK
2 National Centre for Health Outcomes Development, London School of Hygiene and Tropical Medicine, UK

Correspondence to:
Correspondence to:
Mr H Dinsdale
Directorate of Public Health, Adur Arun and Worthing tPCT, The Causeway, Durrington, Worthing BN12 6BT, UK; hywell.dinsdale{at}aaw.nhs.uk

Study objective: The drive to tackle health inequalities at the local level has increased interest in mortality data for small populations. There is some concern that nursing homes may affect measures of mortality for small populations, but there has been little in depth analysis of this.

Design and setting: Deaths between 1997 and 2001 and population figures from the GP register (Exeter) database and census 2001 were used to produce life expectancy (LE) figures for all electoral wards in West Sussex. The proportion of those dying within each ward that had been residents of nursing homes was calculated and the relation between these variables and deprivation investigated.

Results: There was a significant linear relation between nursing home deaths and LE (p<0.0001), which explained 36% of variation in LE between wards. Deprivation accounted for around 35% of the variation in LE (p<0.0001) but was not correlated with nursing home deaths (p>=0.0982). Multiple linear regression shows that over 60% of the variation in LE at ward level can be explained by both nursing home deaths and deprivation (p<0.0001) and that the two variables explain similar proportions of this variation. The relation between LE and nursing home deaths within wards grouped by deprivation suggests that the impact of nursing homes is strongest in deprived wards.

Conclusions: This finding has important implications for LE calculations in small populations. Further investigation is now needed to examine the impact of nursing homes in other areas, on other mortality measures, and in larger populations.

Abbreviations: LE, life expectancy; LA, local authority; ONS, Office for National Statistics; SMR, standardised mortality ratio; PHMF, Public Health Mortality Files; DETR, Department of the Environment, Transport and the Regions

Keywords: life expectancy; nursing homes; small areas


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