ArticleJournal of medical radiation sciences2021
Research interest, experience and confidence of allied health professionals working in medical imaging: a cross-sectional survey.
Article in Journal of medical radiation sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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.
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Who cites it
6 citing papers in PubMed, 21 citations in OpenAlex.
- Building Research Capacity in Medical Radiation Sciences Through University-Clinical Partnerships: A Commentary on Working Smarter, Not Harder.Journal of medical radiation sciences · 2026Article
- Evidence-based practice in radiography: A strategy for shifting our culture.Journal of medical radiation sciences · 2024Article
- Survey of research attitudes of RTTs working in Scotland: A Scottish radiographer research forum collaboration.Technical innovations & patient support in radiation oncology · 2024Article
- Identification of research priorities of radiography science: A modified Delphi study in Europe.Nursing & health sciences · 2022Article
- Research interest, experience and confidence of allied health professionals working in medical imaging: a cross-sectional survey.Journal of medical radiation sciences · 2021Article
- We can do it: Improving research culture and capacity in medical radiation sciences.Journal of medical radiation sciences · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionThere is growing interest in developing research culture and opportunities for allied health professionals working in medical imaging. However, little attention has been given to identifying the research interest and needs of this group relative to the other allied health professions. We aimed to measure self-reported research participation, interest, experience and confidence of allied health professionals working in medical imaging and compare the findings to clinicians working in allied health therapies.
methodsA cross-sectional survey of allied health professionals from medical imaging (radiographers, sonographers and nuclear medicine technologists) was conducted. The primary outcome, the Research Spider survey, measures 10 domains of research interest/experience/confidence on a 5-point Likert scale. Results were compared to allied health therapy data.
resultsResponses were received by 82 medical imaging allied health professionals (65% response rate). Overall, medical imaging professionals rated themselves as having 'some interest' and 'little experience or confidence' in research. There was no difference in interest, experience and confidence among different imaging professions (interest P = 0.099, experience P = 0.380, confidence P = 0.212) or allied health therapists (interest P = 0.137, experience P = 0.363, confidence P = 0.791). Participants reported greatest interest in finding and reviewing literature and lowest interest in applying for funding.
conclusionThere are strong similarities between medical imaging allied health professionals and allied health therapy professionals. Therefore, strategies used to promote research culture in allied health therapy professions could be leveraged to provide opportunities for medical imaging allied health professionals.
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Registered trials
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.