Evidence map›Paper›PMID 11791810›Full record

ArticleThe British journal of general practice : the journal of the Royal College of General Practitioners2002

Variance in practice emergency medical admission rates: can it be explained?

Rebecca Duffy, Ron Neville, Harry Staines

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Article in The British journal of general practice : the journal of the Royal College of General Practitioners, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

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10citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

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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

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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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  8. A simple tool to predict admission at the time of triage.Emergency medicine journal : EMJ · 2015
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  10. 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

3 authors.

Rebecca DuffyTayside Centre for General Practice, University of Dundee. r.j.duffy@dundee.ac.uk
Ron Neville
Harry Staines

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEmergency admission rates have been rising steadily in recent years, with the majority of the increase owing to emergency medical admissions. Possible causative factors include changing demography, incidence of disease, admission thresholds, multiple admissions, and appropriateness of admission.

aimTo investigate the impact of patient and practice factors on variance in general practices' emergency medical admissions rates. DESIGN OF STUDY: Multiple regression analysis relating emergency medical admission rates of general practices to patient and practice characteristics.

settingThe study was conducted between 1996 and 1997 in the acute hospital trust serving the study area, Dundee, Scotland.

methodScottish Morbidity Record 1 (SMR1) data, which contains details of all hospital consultant episodes, was used to calculate individual practices emergency medical admission rates. These rates were then standardised to an expected value of 100. Forward selection was used to find a suitable multiple regression model to predict each practice's emergency medical admission rate from practice and patient variables.

resultsCrude emergency medical admission rates for general practices showed a 1.8-fold variation between the top and bottom deciles. The deprivation status and age of patients explained 42% of the variance in admission rates (64% with the exclusion of one practice that had a poor fit to the model). After correcting for age and deprivation there was a 1.2-fold variation in general practices' emergency medical admission rates.

conclusionThe most important factors in explaining variance in general practices' emergency medical admission rates are socio-demographic, with age and deprivation explaining a large proportion of the variation. We found no evidence to support the contention that general practice factors were linked with admission rates.

Indexed as

AgedAged, 80 and overAnalysis of VarianceEmergenciesEmergency Service, HospitalFamily PracticeHumansPatient AdmissionReferral and ConsultationRegression AnalysisScotlandSocioeconomic Factors

Identifiers

PMID11791810
PMCPMC1314195

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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.