Evidence map›Paper›PMID 39926310›Full record

ArticleInternational journal of nursing studies advances2025

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

Luisa C Eggenschwiler, Giusi Moffa, Valerie Smith, Michael Simon

Abstract read
In one paragraph

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Luisa C EggenschwilerDepartment Public Health (DPH), Institute of Nursing Science (INS), University of Basel, Basel, Switzerland.
Giusi MoffaDepartment of Mathematics and Computer Science, University of Basel, Basel, Switzerland.
Valerie SmithCollege of Health and Agricultural Sciences, School of Nursing, Midwifery, and Health Systems, University College Dublin, Belfield, Ireland.
Michael SimonDepartment Public Health (DPH), Institute of Nursing Science (INS), University of Basel, Basel, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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 (2019-2022). 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.

Indexed as

Electronic health recordsHealth services researchMidwifery staffingNurse staffingRoutinely collected health dataWorkforceWorkload

Identifiers

PMID39926310
PMCPMC11802361

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.