Evidence map›Paper›PMID 40317196›Full record

ArticleHealth information management : journal of the Health Information Management Association of Australia2026

Attitudes towards data access and sharing health data for research: a case study of Australian data custodian perspectives.

Richard J Varhol, Suzanne Robinson, Crystal Man Ying Lee, Sean Randall, James H Boyd

Abstract read
In one paragraph

Article in Health information management : journal of the Health Information Management Association of Australia, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Richard J VarholCurtin University, Bentley, WA, Australia.ORCID 0000-0003-3608-400X
Suzanne RobinsonCurtin University, Bentley, WA, Australia.ORCID 0000-0001-5703-6475
Crystal Man Ying LeeCurtin University, Bentley, WA, Australia.ORCID 0000-0001-6613-5491
Sean RandallCurtin University, Bentley, WA, Australia.
James H BoydLa Trobe University, Melbourne, VIC, Australia.ORCID 0000-0002-8925-8811

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe effective sharing of health data is critical for advancing public health research and improving health outcomes. Data custodians responsible for managing these data encounter various obstacles that prevent the efficient exchange of this information for research purposes. This study explores specific challenges to effective data custodianship and how they can be addressed to improve data sharing within the Australian health and human services sectors.

objectivesA case study to explore the complex landscape of data sharing from the perspective of data custodians. This includes identifying legislative complexities and related organisational cultural challenges associated with data requests that accompany the role of a data custodian and suggesting strategies to facilitate data sharing.

methodUtilising qualitative thematic analysis, semi-structured interviews were conducted to collect detailed perspectives on the practices and challenges of sharing health data from 11 data custodians across nine Australian healthcare organisations.

resultsThe study highlighted several common challenges affecting data sharing for research, including legislative hurdles, lack of uniform standards for data access, and inconsistent consent protocols across datasets. Internal organisational factors, such as data request assessment processes, organisational culture, and attitudes towards data sharing, emerged as critical barriers to the efficient sharing of data.

conclusionOvercoming data-sharing barriers necessitates a multifaceted approach, requiring clear and consistent legislative frameworks for data access and establishing standards for transparent and efficient request assessment processes.Implications for health information management:Shifting data from a liability to a valuable asset can enhance decision-making, foster collaboration, and drive health sector innovation.

Indexed as

Access to InformationAttitude of Health PersonnelInformation DisseminationAustraliaHumansInterviews as TopicOrganizational Case StudiesQualitative Researchdata governancedata sharingelectronic medical recordsgovernancehealth datahealth information managementprivacyresearchsecondary usestakeholders

Identifiers

PMID40317196
PMCPMC13187238

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LicenceCC BY
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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.