Davina Allen , Heather Strange , Nina Jacob , Anne Marie Rafferty
{"title":"我们如何优化护士配备系统?从10个广泛使用的模型的比较文件分析和实施经验的重点解释性审查的见解","authors":"Davina Allen , Heather Strange , Nina Jacob , Anne Marie Rafferty","doi":"10.1016/j.ijnurstu.2025.105056","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>A diverse range of formal systems have been implemented in high income countries to ensure safe nurse staffing. Evidence reviews indicate that no one best model exists and recommends optimising existing systems. As a result of the Covid-19 pandemic and a global nursing workforce crisis, healthcare systems and the nursing profession face a challenging future. Nurse staffing systems must be fit for purpose.</div></div><div><h3>Aim</h3><div>Identify, describe and compare the core components of nurse staffing systems, assess the conditioning effects of context on their mechanisms of action, and explore front-line implementation experiences to inform system optimisation.</div></div><div><h3>Sample</h3><div>Ten widely used nurse staffing systems deployed in high-income western healthcare systems.</div></div><div><h3>Theory</h3><div>Complex interventions thinking and Actor Network Theory.</div></div><div><h3>Methods</h3><div>Phase 1: Document analysis of formal published accounts of nurse staffing systems. Phase 2: Focused interpretative review of evidential fragments on implementation experiences and contextual influences from available evaluation studies.</div></div><div><h3>Conclusions</h3><div>Systems varied in their complexity, core components, and organising logics. Nurses experience a range of implementation challenges, but workforce shortages and budgetary constraints were the principal contextual influences. Prospective strategies to optimise nurse staffing systems must be tailored to system and context but include strategies and tools to augment professional authority, more granular workload measurement, improved outcome measurements, strengthened digital infrastructures, enhanced governance arrangements and increased public accountability. Benchmarking approaches should be used with caution, given the normative impulse to depress staffing levels. In the context of a global workforce shortage, consideration should also be given to the impacts of nurse staffing models on the wider healthcare system.</div><div><strong>Tweetable abstract</strong>: How can we optimise safe nurse staffing systems? Insights from a document analysis and interpretative review informed by actor network theory.</div></div>","PeriodicalId":50299,"journal":{"name":"International Journal of Nursing Studies","volume":"167 ","pages":"Article 105056"},"PeriodicalIF":7.5000,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"How can we optimise nurse staffing systems? Insights from a comparative document analysis of 10 widely used models and focused interpretative review of implementation experiences\",\"authors\":\"Davina Allen , Heather Strange , Nina Jacob , Anne Marie Rafferty\",\"doi\":\"10.1016/j.ijnurstu.2025.105056\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>A diverse range of formal systems have been implemented in high income countries to ensure safe nurse staffing. Evidence reviews indicate that no one best model exists and recommends optimising existing systems. As a result of the Covid-19 pandemic and a global nursing workforce crisis, healthcare systems and the nursing profession face a challenging future. Nurse staffing systems must be fit for purpose.</div></div><div><h3>Aim</h3><div>Identify, describe and compare the core components of nurse staffing systems, assess the conditioning effects of context on their mechanisms of action, and explore front-line implementation experiences to inform system optimisation.</div></div><div><h3>Sample</h3><div>Ten widely used nurse staffing systems deployed in high-income western healthcare systems.</div></div><div><h3>Theory</h3><div>Complex interventions thinking and Actor Network Theory.</div></div><div><h3>Methods</h3><div>Phase 1: Document analysis of formal published accounts of nurse staffing systems. Phase 2: Focused interpretative review of evidential fragments on implementation experiences and contextual influences from available evaluation studies.</div></div><div><h3>Conclusions</h3><div>Systems varied in their complexity, core components, and organising logics. Nurses experience a range of implementation challenges, but workforce shortages and budgetary constraints were the principal contextual influences. Prospective strategies to optimise nurse staffing systems must be tailored to system and context but include strategies and tools to augment professional authority, more granular workload measurement, improved outcome measurements, strengthened digital infrastructures, enhanced governance arrangements and increased public accountability. Benchmarking approaches should be used with caution, given the normative impulse to depress staffing levels. In the context of a global workforce shortage, consideration should also be given to the impacts of nurse staffing models on the wider healthcare system.</div><div><strong>Tweetable abstract</strong>: How can we optimise safe nurse staffing systems? Insights from a document analysis and interpretative review informed by actor network theory.</div></div>\",\"PeriodicalId\":50299,\"journal\":{\"name\":\"International Journal of Nursing Studies\",\"volume\":\"167 \",\"pages\":\"Article 105056\"},\"PeriodicalIF\":7.5000,\"publicationDate\":\"2025-03-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Nursing Studies\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0020748925000653\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"NURSING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Nursing Studies","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0020748925000653","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"NURSING","Score":null,"Total":0}
How can we optimise nurse staffing systems? Insights from a comparative document analysis of 10 widely used models and focused interpretative review of implementation experiences
Background
A diverse range of formal systems have been implemented in high income countries to ensure safe nurse staffing. Evidence reviews indicate that no one best model exists and recommends optimising existing systems. As a result of the Covid-19 pandemic and a global nursing workforce crisis, healthcare systems and the nursing profession face a challenging future. Nurse staffing systems must be fit for purpose.
Aim
Identify, describe and compare the core components of nurse staffing systems, assess the conditioning effects of context on their mechanisms of action, and explore front-line implementation experiences to inform system optimisation.
Sample
Ten widely used nurse staffing systems deployed in high-income western healthcare systems.
Theory
Complex interventions thinking and Actor Network Theory.
Methods
Phase 1: Document analysis of formal published accounts of nurse staffing systems. Phase 2: Focused interpretative review of evidential fragments on implementation experiences and contextual influences from available evaluation studies.
Conclusions
Systems varied in their complexity, core components, and organising logics. Nurses experience a range of implementation challenges, but workforce shortages and budgetary constraints were the principal contextual influences. Prospective strategies to optimise nurse staffing systems must be tailored to system and context but include strategies and tools to augment professional authority, more granular workload measurement, improved outcome measurements, strengthened digital infrastructures, enhanced governance arrangements and increased public accountability. Benchmarking approaches should be used with caution, given the normative impulse to depress staffing levels. In the context of a global workforce shortage, consideration should also be given to the impacts of nurse staffing models on the wider healthcare system.
Tweetable abstract: How can we optimise safe nurse staffing systems? Insights from a document analysis and interpretative review informed by actor network theory.
期刊介绍:
The International Journal of Nursing Studies (IJNS) is a highly respected journal that has been publishing original peer-reviewed articles since 1963. It provides a forum for original research and scholarship about health care delivery, organisation, management, workforce, policy, and research methods relevant to nursing, midwifery, and other health related professions. The journal aims to support evidence informed policy and practice by publishing research, systematic and other scholarly reviews, critical discussion, and commentary of the highest standard. The IJNS is indexed in major databases including PubMed, Medline, Thomson Reuters - Science Citation Index, Scopus, Thomson Reuters - Social Science Citation Index, CINAHL, and the BNI (British Nursing Index).