Evidence map›Paper›PMID 15483314›Full record

ArticleJournal of epidemiology and community health2004

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

Edward S Williams, Hywell Dinsdale, Daniel Eayres, Farhang Tahzib

Abstract read
In one paragraph

Article in Journal of epidemiology and community health, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Edward S WilliamsDirectorate of Public Health, Adur Arun and Worthing tPCT, UK.
Hywell Dinsdale
Daniel Eayres
Farhang Tahzib

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

STUDY

objectiveThe 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

settingDeaths 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.

resultsThere 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> or =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.

conclusionsThis 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.

Indexed as

Life ExpectancyAgedAged, 80 and overBiasEnglandHomes for the AgedHumansMortalityNursing HomesPovertyPoverty AreasResidence Characteristics

Identifiers

PMID15483314
PMCPMC1732599

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.