ArticleBJR open2024
Establishing the size and configuration of the imaging support workforce: a census of national workforce data in England.
Article in BJR open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed.
- Organisational practices in postoperative opioid prescribing at discharge in UK NHS day surgery units: the OPIOID-discharge survey.Anaesthesia · 2026Article
- Is Radiography Ready for More Assistant Practitioners? A Qualitative Case Study Approach to Examine the Contemporary Role in Diagnostic Imaging Services.Journal of multidisciplinary healthcare · 2026Article
- A maturity matrix and actionable tool for implementing best practices within the radiography support workforce: a mixed methods synthesis.BMC health services research · 2025Article
- 'What is Your Job?': A Qualitative Analysis of the Deployment, Utilisation, and Contribution of Support Workers in Diagnostic Imaging Services in England.The International journal of health planning and management · 2025Article
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objectives: The imaging support workforce is a key enabler in unlocking imaging capacity and capability, yet no evidence exists of the workforce size and configuration. This research provides the first comprehensive analysis of workforce data to explore the deployment of the support workforce within National Health Service (NHS) imaging services in England. Methods: Using a census methodology, an anonymized electronic staff record (ESR) data set extracted in December 2022 was analysed to identify support workers and their employment bandings at NHS Trust, regional and national (England) level. Support workforce proportions, median values, and Spearman's rank correlations were calculated. Results: Analysis of 137 NHS Trusts, comprising 100% of acute trusts ( Conclusions: Comprising almost one-quarter of the imaging establishment, models of deployment at bands 2 and 3 are highly variable. Assistant practitioners (band 4) are under-utilised, providing an opportunity to introduce innovations to address workforce demands. Advances in knowledge: This census is the first to provide evidence of the size and structure of the support workforce, the first step in enabling effective workforce transformation. Further research is required to explain the two opposing deployment models.
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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.