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Perinatal midwifery care demand in a tertiary hospital: A time-series analysis - MaRDI portal

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Perinatal midwifery care demand in a tertiary hospital: A time-series analysis

From MaRDI portal



DOI10.5281/zenodo.10808186Zenodo10808186MaRDI QIDQ6686294

Dataset published at Zenodo repository.

Author name not available (Why is that?)

Publication date: 28 January 2025

Copyright license: No records found.



Description

Introduction: The chronic shortage of registered midwives and nurses is a serious global problem. However, current recommendations regarding midwifery staffing do not address operational staffing difficulties that arise from wide variations in care demand. The aim of this study was to describe shift-level care demand and available staffing resources in a tertiary hospital's maternity department. Methods: This single-centre retrospective longitudinal study investigated a four-year timeframe (20192022). All registered midwives and nurses working a three-shift pattern in the prenatal unit, labour ward, or postnatal unit were included. To determine care demand, we approached it in a novel way, accounting for both the number of women on each unit and each case's expected complexity. Any unmet care demand was calculated in relation to pre-specified nurse-to-patient ratios for each care area by subtracting demand hours from available staff hours per shift. Results: In total, 17,558 cases were included and 13,149 worked shifts analysed. The match of staffing resources with care demand was different for each analysed unit. In the prenatal and postnatal units, demand was generally met; however, the labour ward had a shortfall of at least one midwife on 32% of all shifts. Adjusted for care complexity, the deficiency prevalence rose to 55% of shifts for this ward. Conclusion: Alongside the inclusion of care complexity in assessing care demand, shift- and unit-level analyses showed that average staffing numbers obscure the actual volume of unmet care demand. Staffing in labour wards needs greater flexibility to cope with the clustering of births over short periods.






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