ArticleInternational journal of nursing studies advances2025
Temporary nurse deployments: a time-series analysis of shift scheduling dynamics and staffing level alignment.
Article in International journal of nursing studies advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Unit managers between fluctuating demand and fixed staffing: a quantitative study in psychiatric nursing.Frontiers in health services · 2026Article
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Authors and funding
6 authors.
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Abstract
Introduction: Hospitals deploy temporary nurses to bridge staffing gaps. However, evidence remains inconclusive regarding the extent, patterns, and factors driving temporary deployment. This study aimed to describe how temporary nurses are deployed as a response to shift-level schedule deviations and shortfalls in planned schedules. Methods: Our four-month time-series analysis covered 1344 shifts across two medical and two surgical units in a tertiary hospital in Iran. Shift-level data included nursing staff numbers, the skill mix, staff absences and the patient count and turnover. The patient-to-nurse ratio was used to gauge staffing levels. Data were analysed using both descriptive and analytical approaches, including the fitting of three generalized linear mixed models to assess potential drivers of shifts involving temporary RNs. Results: Temporary nurses worked on 12.2 % of shifts with the majority being Registered Nurses (RNs) (81.7 %). Only 28.5 % of deviations led to temporary RN deployments. While students and aides were sometimes reallocated to fill absences, the majority of absences (57.1 %) went unaddressed. Temporary staff mainly worked on shifts with below-average RN-staffing. Unit-level deployment rates varied widely (3.6 %-55.9 %). Model 1 revealed that RN absence increased the odds of using a temporary RN by 2.14 times (AIC = 785.1). Model 2 indicated that each additional patient, increased the odds by 11 % (AIC = 740.7). Model 3 showed that when RN-staffing was below-average the odds of using a temporary RN were 3.96 times higher than the average level (AIC = 707.4). Conclusion: Temporary nurse deployment was relatively infrequent. While temporary nurses were strategically deployed to address understaffing and short-notice deviations, their deployment did not fully bridge the staffing needs. On high-demand units, temporary staff were commonly supplemented by reallocating students. Some temporary deployments occurred even where RN-staffing was at an average level. These findings indicate an urgent need to enhance the effectiveness of temporary deployment and optimize workforce resources to ensure high-quality care.
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