Evidence map›Paper›PMID 40068123›Full record

ArticleNursing inquiry2025

Understanding Socio-Material Relations in Nurse Staffing Systems: Insights From a Qualitative Study in England and Wales.

Davina Allen, Heather Strange, Nina Jacob, Giulia Zoccatelli, Amit Desai, Anne Marie Rafferty

Abstract read
In one paragraph

Article in Nursing inquiry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. The Relations Between Nursing and Philosophy … Some Wonderings.Nursing philosophy : an international journal for healthcare professionals · 2025
    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

6 authors.

Davina AllenSchool of Healthcare Science, Cardiff University, Cardiff, UK.
Heather StrangeCentre for Trials Research, Cardiff University, Cardiff, UK.
Nina JacobCentre for Trials Research, Cardiff University, Cardiff, UK.
Giulia ZoccatelliFlorence Nightingale School of Nursing and Midwifery, and Palliative Care, King's College London, London, UK.
Amit DesaiFlorence Nightingale School of Nursing and Midwifery, and Palliative Care, King's College London, London, UK.
Anne Marie RaffertyFlorence Nightingale School of Nursing and Midwifery, and Palliative Care, King's College London, London, UK.

Funding

The study was supported by the Royal College of Nursing Foundation.
6 · The paper itself

Abstract

Amidst a global nursing shortage, ensuring sufficient nurses are available to care for patients is an international policy priority. High-income countries have developed and implemented numerous models to ensure safe nurse staffing, yet evidence to recommend any single methodology remains limited. Existing research primarily evaluates nurse staffing systems by inputs and outcomes, neglecting their internal dynamics. Using qualitative case study data from England and Wales and drawing on practice perspectives and Actor Network Theory, this paper examines these socio-material relations. Healthcare systems are complex, diverse and constantly evolving. Whilst identifying a single 'best' model may prove both impractical and elusive, this paper demonstrates the value of this theoretical approach for understanding the interplay of system components and the mediating effects of context. These insights can inform future research and help improve systems to meet the demands of late modernity.

Indexed as

Personnel Staffing and SchedulingEnglandHumansQualitative ResearchWalesactor network theorycase studiespractice‐approachqualitative researchsafe nurse staffing systemssocio‐materialityworkforce

Identifiers

PMID40068123
PMCPMC11896632

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.