Establishing the size and configuration of the imaging support workforce: a census of national workforce data in England.

BJR open Pub Date : 2024-09-05 eCollection Date: 2024-01-01 DOI:10.1093/bjro/tzae026
Julie Nightingale, Sarah Etty, Beverley Snaith, Trudy Sevens, Rob Appleyard, Shona Kelly
{"title":"Establishing the size and configuration of the imaging support workforce: a census of national workforce data in England.","authors":"Julie Nightingale, Sarah Etty, Beverley Snaith, Trudy Sevens, Rob Appleyard, Shona Kelly","doi":"10.1093/bjro/tzae026","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>Analysis of 137 NHS Trusts, comprising 100% of acute trusts (<i>n</i> = 124) and specialist trusts with imaging services (<i>n</i> = 13), identified that the support workforce (pay bands 2-4) constitutes 23.6% of the imaging staff base. Ranking trusts into 3 categories based on the proportion of support workers in their imaging establishment, median values ranged from 30.7% (high) to 22.2% (medium) and 10.5% (low). Two opposing deployment models of band 2 and band 3 support workers were identified.</p><p><strong>Conclusions: </strong>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.</p><p><strong>Advances in knowledge: </strong>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.</p>","PeriodicalId":72419,"journal":{"name":"BJR open","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11405087/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"BJR open","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/bjro/tzae026","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

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 (n = 124) and specialist trusts with imaging services (n = 13), identified that the support workforce (pay bands 2-4) constitutes 23.6% of the imaging staff base. Ranking trusts into 3 categories based on the proportion of support workers in their imaging establishment, median values ranged from 30.7% (high) to 22.2% (medium) and 10.5% (low). Two opposing deployment models of band 2 and band 3 support workers were identified.

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.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
确定成像支持人员的规模和配置:英格兰全国人员数据普查。
目标:影像支持人员是释放影像容量和能力的关键因素,但目前还没有关于人员规模和配置的证据。这项研究首次对劳动力数据进行了全面分析,以探讨英国国家医疗服务系统(NHS)成像服务中辅助劳动力的部署情况:采用普查方法,对 2022 年 12 月提取的匿名电子员工记录 (ESR) 数据集进行分析,以确定 NHS 信托基金会、地区和国家(英格兰)层面的辅助人员及其就业等级。结果:对 137 家英国国家医疗服务系统信托机构(包括 100%的急症信托机构(124 家)和提供影像服务的专科信托机构(13 家))进行的分析表明,辅助人员(工资级别 2-4)占影像工作人员总数的 23.6%。根据影像机构中辅助人员的比例将信托机构分为三类,中值从 30.7%(高)到 22.2%(中)和 10.5%(低)不等。我们还发现了 2 级和 3 级辅助人员的两种对立部署模式:结论:2 级和 3 级辅助人员几乎占造影机构的四分之一,其配置模式差异很大。助理从业人员(4 级)的使用率较低,这为引入创新以满足劳动力需求提供了机会:本次普查首次提供了有关辅助人员队伍规模和结构的证据,这是实现有效人员队伍转型的第一步。还需要进一步的研究来解释两种截然相反的部署模式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
审稿时长
18 weeks
期刊最新文献
Coronary stent imaging in photon counting computed tomography: improved imaging of in-stent stenoses in a phantom with optimized reconstruction kernels. Future implications of artificial intelligence in lung cancer screening: a systematic review. A review on optimization of Wilms tumour management using radiomics. A 3-year national DRL for CT in hybrid imaging study in Kuwait health environment-impact and implementation. A retrospective audit of an artificial intelligence software for the detection of intracranial haemorrhage used by a teleradiology company in the United Kingdom.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1