Evidence map›Paper›PMID 39821922›Full record

ArticleThe Medical journal of Australia2025

Evaluating primary care expenditure in Australia: the Primary Care Spend (PC Spend) model.

Michael Wright, Shona Bates, Andrew W Bazemore, Michael R Kidd

Abstract read
In one paragraph

Article in The Medical journal of Australia, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Michael WrightInternational Centre for Future Health Systems, University of New South Wales, Sydney, NSW.ORCID 0000-0003-2708-4753
Shona BatesInternational Centre for Future Health Systems, University of New South Wales, Sydney, NSW.
Andrew W BazemoreAmerican Board of Family Medicine Inc, Lexington, KY, United States of America.
Michael R KiddInternational Centre for Future Health Systems, University of New South Wales, Sydney, NSW.

Funding

Royal Australian College of General Practitioners Foundation Grant
6 · The paper itself

Abstract

objectivesTo assess the distribution of health care expenditure (public and private) for primary care and primary health care as proportions of overall health care funding. STUDY

designThe Primary Care Spend model; estimated distribution of expenditure for three tiers of primary care services by provider and function.

settingPrimary Care Spend model applied to Australian health expenditure, public and private, 2020-21, from a health sector perspective, as recorded by the Australian Institute of Health and Welfare.

main outcome measuresProportions of all health care spending for essential community and primary health care functions (tier A), comprehensive primary care (services delivered in general practices and family physician clinics; tier B), and enhanced primary care services (long-term holistic patient care; tier C).

resultsIn 2020-21, 33.2% of health spending in Australia was classified as primary health care spending (tier A), 6.0% as comprehensive primary care services (tier B), and 0.8% as long term holistic patient care services (tier C).

conclusionsThe application of the Primary Care Spend model to Australian data provides a more nuanced analysis of expenditure for primary health care than routine health expenditure reports. Its output could be used to inform targets for spending on different tiers, types, and locations of primary care, especially comprehensive and other high value primary care services, and to monitor progress toward these targets.

Indexed as

Health ExpendituresPrimary Health CareAustraliaHumansModels, EconomicGeneral practiceHealth financingHealth policyHealth services researchPrimary carePrimary health care

Identifiers

PMID39821922
PMCPMC11830223

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.