Evidence map›Paper›PMID 41085197›Full record

ArticleThe Australian journal of rural health2025

How Can Research Have Greater Beneficial Impact in Rural Australia?

Timothy A Carey

Abstract read
In one paragraph

Article in The Australian journal of rural health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. How Can Research Have Greater Beneficial Impact in Rural Australia?The Australian journal of rural health · 2025
    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

1 author.

Timothy A CareyCentre > Health Equity in Regional and Remote Communities, Central Queensland University, Rockhampton, Queensland, Australia.ORCID 0000-0003-2882-1508

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsTo exponentially amplify the impact of health research in regional, rural, remote, and very remote (RRRvR) communities for improved health outcomes and reduced health inequities. CONTEXT: RRRvR health inequities are severe, enduring, and largely impervious to our best efforts to address them. It is unjust that, simply because of where they live, some people do not have the health they need to live the life they want. Although research has been one of our greatest inventions for solving problems, it has had little impact on the problems with which RRRvR communities grapple. Improving the beneficial impact of RRRvR research was the focus of a recent Research Australia University Roundtable. APPROACH: As someone with an abiding interest in research methodologies and the research process more generally, I read widely on research matters, am research active, review research funding applications, and train others in research processes. This commentary is a synthesis of my insights from the Roundtable as well as the published literature, including my own published work.

conclusionFor people in RRRvR communities to reap the benefits that research has the potential to offer, far more substantive changes are required than adjusting assessment criteria or funding streams. It is the context within which research is conceived and conducted that must be reimagined. Without changing the context, other alterations are likely to be ineffective. When research becomes a genuine partnership between researchers and RRRvR communities to answer locally prioritised problems, we might finally achieve the impact that is required.

Indexed as

Health Services ResearchRural Health ServicesRural PopulationAustraliaHumans

Identifiers

PMID41085197
PMCPMC12519915

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.