In 2013, a national inquiry into care failings at a large public hospital in England resulted in major healthcare reforms that included targeting policy aimed at ensuring the adequacy of nurse staffing levels on hospital wards within NHS England. This paper uses a review of publicly available documents to provide a contextual account of the evolution of nurse staffing policy development prior to and following the inquiry. We found that securing safe staffing policy has been impacted by caveats and competing policy, evidence gaps, lack of coordination, and the absence of readily implementable solutions. Consequently, five years on, safe staffing policy for NHS England is described in aspirational terms that ascribes accountability to providers, but fails to adequately address barriers to delivery. Kingdon's 'policy windows' model is used to explain why policy, even when driven by strong public concern and with high inter-sector support, may struggle to gain traction when the conditions necessary for success are not present, and in the face of practical or political constraints. The progress and pitfalls encountered are not unique and the experience of safe staffing policy in England may have lessons for other countries grappling with policy development or implementation in this area.
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http://dx.doi.org/10.1016/j.healthpol.2019.03.011 | DOI Listing |
Isr J Health Policy Res
January 2025
Ruth and Bruce Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, POB 9907, Haifa, Israel.
Background: Workforce diversity in healthcare has been shown to improve the quality of patient care. A paucity of data exists globally on this subject in ophthalmology. The purpose of this study was to analyze nationwide trends in gender-, ethnic- and country of graduation disparities among ophthalmologists in Israel.
View Article and Find Full Text PDFBMC Public Health
January 2025
School of Population and Public Health (SPPH), University of British Columbia (UBC), 2206 East Mall, Vancouver, BC, V6T 1Z3, Canada.
Background: Widespread digital transformation necessitates developing digital competencies for public health practice. Given work in 2024 to update Canada's public health core competencies, there are opportunities to consider digital competencies. In our previous research, we identified digital competency and training recommendations within the literature.
View Article and Find Full Text PDFBMC Nurs
January 2025
Spaarne Gasthuis Academy, Spaarne Gasthuis Hospital, Hoofddorp, the Netherlands.
Background: Addressing the growing challenge of nurse retention requires coordinated actions at national and global levels to improve recruitment, retention policies, and investments in the nursing work environment. The nursing work environment, defined as the "organizational characteristics of a work setting that facilitate or constrain professional nursing practice", is critical in influencing whether nurses decide to leave their jobs. This study investigates the impact of differentiated nursing practices - which involved tailoring roles and responsibilities based on nurses' training, skills, and experience in Dutch hospitals - and investigated their impact on the nursing work environment and turnover intention (i.
View Article and Find Full Text PDFBMJ Mil Health
January 2025
Griffith University, Brisbane, Queensland, Australia.
Many employers-including the military-are experiencing systemic workforce capacity and capability challenges. This coincides with a time of declining workforce health, especially among military service entrants, where many performance-limiting health conditions are preventable if healthier behaviours are practised. Effectively tackling complex, interconnected health problems demands a multilevel, multicomponent Whole System Approach (WSA).
View Article and Find Full Text PDFAm J Emerg Med
January 2025
Department of Emergency Medicine, Yale University School of Medicine, New Haven, CT, USA; Center for Outcomes Research and Evaluation, Yale University, New Haven, CT, USA.
Background: This study aimed to examine how physician performance metrics are affected by the speed of other attendings (co-attendings) concurrently staffing the ED.
Methods: A retrospective study was conducted using patient data from two EDs between January-2018 and February-2020. Machine learning was used to predict patient length of stay (LOS) conditional on being assigned a physician of average speed, using patient- and departmental-level variables.
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