Evidence map›Paper›PMID 25793270›Full record

ArticleMedical care2015

Sociodemographic and health characteristics, rather than primary care supply, are major drivers of geographic variation in preventable hospitalizations in Australia.

Michael O Falster, Louisa R Jorm, Kirsty A Douglas, Fiona M Blyth, Robert F Elliott, Alastair H Leyland

Abstract read
In one paragraph

Article in Medical care, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 1 pooled it
–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

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

  1. Pooled it
  2. Trial
  3. Income-related inequalities in ACSC hospitalization in Canada: evidence from 2005-2019 surveys linked with hospitalization and tax data.The European journal of health economics : HEPAC : health economics in prevention and care · 2026
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  10. Investigation of rural-urban differences in hospitalization for ambulatory care-sensitive conditions: Analysis of linked survey, hospitalization, and tax data from Canada.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2025
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  19. Characteristics of High-Resource Health System Users in Rural and Remote Regions: A Scoping Review.International journal of environmental research and public health · 2023
    Article
  20. 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

6 authors.

Michael O Falster*Centre for Health Research, University of Western Sydney, Sydney †The Sax Institute, Sydney, New South Wales ‡Australian National University Medical School, Australian National University, Canberra §Concord Clinical School, University of Sydney, Sydney, New South Wales, Australia ∥Health Economics Research Unit, University of Aberdeen, Aberdeen ¶MRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, UK.
Louisa R Jorm
Kirsty A Douglas
Fiona M Blyth
Robert F Elliott
Alastair H Leyland

Funding

Chief Scientist Office HERU1Chief Scientist Office SPHSU2Medical Research Council MC_UU_12017/13Medical Research Council MC_UU_12017/5
6 · The paper itself

Abstract

backgroundGeographic rates of preventable hospitalization are used internationally as an indicator of accessibility and quality of primary care. Much research has correlated the indicator with the supply of primary care services, yet multiple other factors may influence these admissions.

objectiveTo quantify the relative contributions of the supply of general practitioners (GPs) and personal sociodemographic and health characteristics, to geographic variation in preventable hospitalization.

methodsSelf-reported questionnaire data for 267,091 participants in the 45 and Up Study, Australia, were linked with administrative hospital data to identify preventable hospitalizations. Multilevel Poisson models, with participants clustered in their geographic area of residence, were used to explore factors that explain geographic variation in hospitalization.

resultsGP supply, measured as full-time workload equivalents, was not a significant predictor of preventable hospitalization, and explained only a small amount (2.9%) of the geographic variation in hospitalization rates. Conversely, more than one-third (36.9%) of variation was driven by the sociodemographic composition, health, and behaviors of the population. These personal characteristics explained a greater amount of the variation for chronic conditions (37.5%) than acute (15.5%) or vaccine-preventable conditions (2.4%).

conclusionsPersonal sociodemographic and health characteristics, rather than GP supply, are major drivers of preventable hospitalization. Their contribution varies according to condition, and if used for performance comparison purposes, geographic rates of preventable hospitalization should be reported according to individual condition or potential pathways for intervention.

Indexed as

Health BehaviorPrimary Health CareAgedAged, 80 and overAge FactorsAustraliaFemaleGeneral PractitionersHealth Services MisuseHealth StatusHospitalizationHumansMaleMiddle AgedResidence CharacteristicsSex Factors

Identifiers

PMID25793270
PMCPMC4396734

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.