The dynamics of the nursing and midwifery professions: Initial findings from analysis of longitudinal registrant data

Iain Atherton, Michelle Jamieson
{"title":"The dynamics of the nursing and midwifery professions: Initial findings from analysis of longitudinal registrant data","authors":"Iain Atherton, Michelle Jamieson","doi":"10.23889/ijpds.v8i2.2310","DOIUrl":null,"url":null,"abstract":"ObjectivesTo ascertain geographical differences in retention of nurses and midwives across the United Kingdom using registrant data.
 MethodsThe Nursing and Midwifery Council (NMC) are responsible for holding a register of all nurses and midwives in the United Kingdom. Registrants are required to revalidate every three years. Linking together resulting data creates a longitudinal dataset that follows registrants over time. The NMC is providing anonymised data through the ONS Safe Researcher Service (SRS). Data sharing agreements have been signed off and data is in process of being ingested by ONS. Initial analysis will focus on geographical differences in retention by for nurses by field of practice (adult, mental health, children, and learning disability) and midwifery.
 ResultsThere are estimated to be around 750 thousand nurses and midwives currently registered. Processes used to take this work forward will be described including public and stakeholder engagement. Early findings will be presented comparing demographic profiles of the professions and, for nursing, fields of practice in 2018 and 2021. Cox proportional hazard models will enable comparison of geographical differences in retention between England, Scotland, Wales, and Northern Ireland.
 ConclusionRegistrant data provides a basis that can inform policy. This is especially important given current challenges with regard to recruitment and retention in the nursing and midwifery professions. Future work will be outlined that will utilise registrant data including linkage to other administrative and census data sources.","PeriodicalId":132937,"journal":{"name":"International Journal for Population Data Science","volume":"53 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal for Population Data Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23889/ijpds.v8i2.2310","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

ObjectivesTo ascertain geographical differences in retention of nurses and midwives across the United Kingdom using registrant data. MethodsThe Nursing and Midwifery Council (NMC) are responsible for holding a register of all nurses and midwives in the United Kingdom. Registrants are required to revalidate every three years. Linking together resulting data creates a longitudinal dataset that follows registrants over time. The NMC is providing anonymised data through the ONS Safe Researcher Service (SRS). Data sharing agreements have been signed off and data is in process of being ingested by ONS. Initial analysis will focus on geographical differences in retention by for nurses by field of practice (adult, mental health, children, and learning disability) and midwifery. ResultsThere are estimated to be around 750 thousand nurses and midwives currently registered. Processes used to take this work forward will be described including public and stakeholder engagement. Early findings will be presented comparing demographic profiles of the professions and, for nursing, fields of practice in 2018 and 2021. Cox proportional hazard models will enable comparison of geographical differences in retention between England, Scotland, Wales, and Northern Ireland. ConclusionRegistrant data provides a basis that can inform policy. This is especially important given current challenges with regard to recruitment and retention in the nursing and midwifery professions. Future work will be outlined that will utilise registrant data including linkage to other administrative and census data sources.
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
护理和助产专业的动态:从纵向注册数据分析的初步发现
目的利用注册数据确定英国各地护士和助产士保留率的地理差异。 方法护理和助产委员会(NMC)负责持有英国所有护士和助产士的登记册。注册人必须每三年重新验证一次。将结果数据链接在一起创建纵向数据集,该数据集随时间跟踪注册人。NMC通过国家统计局安全研究服务(SRS)提供匿名数据。数据共享协议已经签署,数据正在被国家统计局吸收。初步分析将侧重于按执业领域(成人、心理健康、儿童和学习障碍)和助产学划分的护士保留率的地域差异。结果目前约有75万名注册护士和助产士。将描述用于推进这项工作的流程,包括公众和利益相关者的参与。初步调查结果将比较2018年和2021年专业和护理实践领域的人口统计概况。Cox比例风险模型将能够比较英格兰、苏格兰、威尔士和北爱尔兰在保留率方面的地理差异。结论注册数据为政策制定提供了依据。鉴于目前在招聘和保留护理和助产专业人员方面面临的挑战,这一点尤其重要。将概述今后的工作,将利用登记数据,包括与其他行政和人口普查数据源的联系。
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
期刊最新文献
Using novel data linkage of biobank data with administrative health data to inform genomic analysis for future precision medicine treatment of congenital heart disease Common governance model: a way to avoid data segregation between existing trusted research environment Federated learning for generating synthetic data: a scoping review Health Data Governance for Research Use in Alberta Establishment of a birth-to-education cohort of 1 million Palestinian refugees using electronic medical records and electronic education records
×
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