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。

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
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引用次数: 0

摘要

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

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.

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