Evidence map›Paper›PMID 24209979›Full record

ArticleHealth research policy and systems2013

Exploring productivity and collaboration in Australian Indigenous health research, 1995-2008.

Alice R Rumbold, Joan Cunningham, Brydie Purbrick, Jenny M Lewis

Abstract read
In one paragraph

Article in Health research policy and systems, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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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

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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.

Alice R RumboldRobinson Institute, The University of Adelaide, Adelaide, SA 5005, Australia. alice.rumbold@adelaide.edu.au.
Joan Cunningham
Brydie Purbrick
Jenny M Lewis

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBuilding research capacity in Indigenous health has been recognised as integral in efforts to reduce the significant health disparities between Indigenous and other Australian populations. The past few decades have seen substantial changes in funding policy for Australian Indigenous health research, including increases in overall expenditure and a greater focus on collaborative and priority-driven research. However, whether these policy shifts have resulted in any change to the structure of the research workforce in this field is unclear. We examine research publications in Australian Indigenous health from 1995-2008 to explore trends in publication output, key themes investigated, and research collaborations.

methodsA comprehensive literature search was undertaken to identify research publications about Australian Indigenous health from 1995-2008. Abstracts of all publications identified were reviewed by two investigators for relevance. Eligible publications were classified according to key themes. Social network analyses of co-authorship patterns were used to examine collaboration in the periods 1995-1999, 2000-2004 and 2005-2008.

resultsNine hundred and fifty three publications were identified. Over time, the number of publications per year increased, particularly after 2005, and there was a substantial increase in assessment of health service-related issues. Network analyses revealed a highly collaborative core group of authors responsible for the majority of outputs, in addition to a series of smaller separate groups. In the first two periods there was a small increase in the overall network size (from n = 583 to n = 642 authors) due to growth in collaborations around the core. In the last period, the network size increased considerably (n = 1,083), largely due to an increase in the number and size of separate groups. The general size of collaborations also increased in this period.

conclusionsIn the past few decades there has been substantial development of the research workforce in Indigenous health, characterised by an increase in authors and outputs, a greater focus on some identified priority areas and sustained growth in collaborations. This has occurred in conjunction with significant changes to funding policy for Indigenous health research, suggesting that both productivity and collaboration may be sensitive to reform, including the provision of dedicated funding.

Indexed as

BibliometricsCommunity-Based Participatory ResearchCooperative BehaviorHealth Status DisparitiesResearchResearch PersonnelAustraliaCapacity BuildingHealth PolicyHealth Services, IndigenousHealth WorkforceHumansPublicationsWork

Identifiers

PMID24209979
PMCPMC3827998

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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.