Evidence map›Paper›PMID 41307303›Full record

ArticleJournal of medical imaging and radiation oncology2026

Understanding Clinical Decision-Making in Medical Imaging Referrals: A Cross-Sectional Study of Public Health Practices in South Australia.

Marina Kostopoulos, Marc Agzarian, Kevin James Hickson, Chris Boyd, Kristin Graham, Anson Chau, Saravana Kumar

Abstract read
In one paragraph

Article in Journal of medical imaging and radiation oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

7 authors.

Marina KostopoulosSouth Australian Medical Imaging (SAMI), Adelaide, South Australia, Australia.ORCID https://orcid.org/0009-0003-3556-2935
Marc AgzarianSouth Australian Medical Imaging (SAMI), Adelaide, South Australia, Australia.
Kevin James HicksonSouth Australian Medical Imaging (SAMI), Adelaide, South Australia, Australia.
Chris BoydSouth Australian Medical Imaging (SAMI), Adelaide, South Australia, Australia.
Kristin GrahamAllied Health and Human Performance, University of South Australia City East Campus, Adelaide, South Australia, Australia.
Anson ChauAllied Health and Human Performance, University of South Australia City East Campus, Adelaide, South Australia, Australia.
Saravana KumarAllied Health and Human Performance, University of South Australia City East Campus, Adelaide, South Australia, Australia.ORCID https://orcid.org/0000-0002-4003-4411

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo assess what motivates medical imaging utilisation and to understand what referring clinicians, and those who operationalise these referrals, consider important when making decisions to refer to medical imaging in the South Australia Public Health System. DESIGN,

settingTwo cross-sectional surveys were purpose-built for online delivery. One was conducted from March-August 2023 for SA Health referring clinicians, and another was conducted from February-July 2023 for South Australia Medical Imaging (SAMI) clinical staff.

participantsTwo cohorts were surveyed: referring clinicians within SA Health (n = 138) and SAMI clinical staff (n = 251), from both metropolitan and regional locations.

main outcome measuresTwo customised survey instruments.

resultsA range of factors was reported to influence how clinicians' decisions to request medical imaging, including patient-related, staff-related and system-related factors. Both clinicians and SAMI staff agreed that 'improving overall patient health' and 'reassurance or confirmation of disease absence' were key motivators for requesting medical imaging. However, notable differences emerged in how other motivations were rated, as well as factors clinicians consider important when referring patients for medical imaging. While a small number of clinicians acknowledged over-requesting, a much larger proportion of SAMI staff perceived over-requesting as a common issue among referring clinicians.

conclusionsThis study is the first to explore the perspectives of South Australian clinicians on the factors that motivate medical imaging requests. It highlights a complex array of drivers influencing referral practices and differing perceptions of overuse between those who refer and those who operationalise those referrals. The findings can inform the development of targeted, evidence-based strategies to optimise medical imaging referrals, improve resource use and enhance healthcare delivery for the South Australian community.

Indexed as

Clinical Decision-MakingDiagnostic ImagingPractice Patterns, Physicians'Public Health PracticeReferral and ConsultationAdultAttitude of Health PersonnelCross-Sectional StudiesFemaleHumansMaleMiddle AgedMotivationSouth AustraliaSurveys and Questionnaires

Identifiers

PMID41307303
PMCPMC12865667

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.