Evidence map›Paper›PMID 16449782›Full record

ArticleJournal of the Royal Society of Medicine2006

Association of population and practice factors with potentially avoidable admission rates for chronic diseases in London: cross sectional analysis.

Sonia Saxena, Julie George, Julie Barber, Justine Fitzpatrick, Azeem Majeed

Open access · greenAbstract readMulticenter Study
In one paragraph

Article in Journal of the Royal Society of Medicine, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 3 pooled it
3.8field-weighted citation impact, top 6% of its field
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

38 citing papers in PubMed, 3 syntheses or guidelines pooled it, 90 citations in OpenAlex.

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  13. Quality of diabetes follow-up care and hospital admissions.International journal of health economics and management · 2018
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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

5 authors at 1 institution in 1 country.

Sonia SaxenaDepartment of Primary Care and Social Medicine, Imperial College Faculty of Medicine, London W6 8RP. s.saxena@imperial.ac.uk
Julie George
Julie Barber
Justine Fitzpatrick
Azeem Majeed
Imperial College London · GB

Funding

Department of Health PDA/02/06/076
6 · The paper itself

Abstract

objectivesTo examine the association between underlying ill health, material deprivation and primary care supply factors and hospital admission rates for potentially avoidable admissions in primary care trusts in London.

designCross sectional analysis at primary care trusts level using routine data from multiple sources.

settingAll 31 primary care trusts in London with a total resident population of 7 million patients.

main outcome measuresAge-standardized hospital admission rates for asthma, diabetes, heart failure, hypertension and chronic obstructive pulmonary disease.

resultsAdmission rates varied widely for the conditions examined across the 31 primary care trusts. In 2001, age adjusted admission rates for asthma varied from 76 to 189 per 100,000 and for diabetes from 38 to 183 per 100,000. There was a significant association between higher admission rates and measures of underlying ill health and material deprivation but not quantitative measures of primary care service provision. Provision of specialist chronic disease services in primary care for diabetes but not for asthma were significantly associated with reduced admission rates. There was no association of prescribing levels in primary care trusts with admission rates for any of the conditions examined.

conclusionsAlthough hospital admission for some chronic diseases is potentially avoidable and rates of hospital admission for these conditions are possible indicators of the quality of care, they should be interpreted in conjunction with measures of population composition and deprivation. Failure to do this may result in primary care trusts and general practitioners being criticized for aspects of health care utilization that are not under their direct control.

Indexed as

AdolescentAdultAgedChildChild, PreschoolChronic DiseaseHospitalizationHumansInfantInfant, NewbornLondonMiddle AgedPrimary Health CareRegression AnalysisSocioeconomic Factors

Identifiers

PMID16449782
PMCPMC1360495
OpenAlexW2158335102

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.