Evidence map›Paper›PMID 39992043›Full record

Observational studyJournal of advanced nursing2025

The Impact of a Planned Change to Nurse Staffing Levels in Emergency Departments: A Pre-Test, Post-Test Design.

Vera J C Mc Carthy, Noeleen Brady, Ashling Murphy, Aileen Murphy, Jane Ball, Robert Crouch, Christine Duffield, Peter Griffiths, Anne Scott, Jonathan Drennan

Abstract readObservational Study
In one paragraph

Observational study in Journal of advanced nursing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
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

10 authors.

Vera J C Mc CarthyCatherine McAuley School of Nursing and Midwifery, University College Cork, Cork, Ireland.ORCID https://orcid.org/0000-0001-7573-7961
Noeleen BradyCatherine McAuley School of Nursing and Midwifery, University College Cork, Cork, Ireland.ORCID https://orcid.org/0009-0005-4280-2225
Ashling MurphyCatherine McAuley School of Nursing and Midwifery, University College Cork, Cork, Ireland.ORCID https://orcid.org/0000-0002-1957-8254
Aileen MurphyDepartment of Economics, Cork University Business School, University College Cork, Cork, Ireland.ORCID https://orcid.org/0000-0003-3062-0692
Jane BallSchool of Health Sciences, University of Southampton, Southampton, UK.ORCID https://orcid.org/0000-0002-8655-2994
Robert CrouchSchool of Health Sciences, University of Southampton, Southampton, UK.ORCID https://orcid.org/0000-0003-3901-084X
Christine DuffieldEmeritus Professor Edith Cowan University, Joondalup, Western Australia, Australia.ORCID https://orcid.org/0000-0001-6534-8743
Peter GriffithsSchool of Health Sciences, University of Southampton, Southampton, UK.ORCID https://orcid.org/0000-0003-2439-2857
Anne ScottUniversity of Galway, Galway, Ireland.ORCID https://orcid.org/0000-0002-5790-8066
Jonathan DrennanCatherine McAuley School of Nursing and Midwifery, University College Cork, Cork, Ireland.ORCID https://orcid.org/0000-0001-7365-4345

Funding

Health Research Board, Ireland, and the Department of Health HRB FSN-2020-001
6 · The paper itself

Abstract

aimTo examine burnout levels, nurse perceptions of the work environment, job satisfaction, intention to stay and quality of care for nurses working in emergency departments before and following a planned change to nurse staffing levels.

designA pre-post observational design.

methodsA systematic approach (Nursing Hours per Patient Presentation) was introduced to determine nurse staffing levels based on patient presentations resulting in adjustments to nurse staffing. Data on burnout, the work environment, intention to stay, job satisfaction and quality of care were collected from three emergency departments prior to and following the adjustments to nurse staffing.

resultsAn adjustment to nurse staffing levels was made to all three emergency departments. Mean emotional exhaustion scores were significantly lower, and quality of work environment scores and levels of job satisfaction were significantly higher for nurses following staffing adjustments. There was an increase to the proportion of nurses who perceived an improvement in quality of care delivered. In general, the results indicated improvements in outcomes following adjustments to nurse staffing levels.

conclusionA more holistic organisational approach is required to address staffing in emergency departments. Initiatives that involve frontline nurses in resource planning facilitating a bottom-up approach to allow for improved work environments would be beneficial. IMPACT: This study addressed a planned change to nurse staffing levels in emergency departments and staff outcomes pre and post changes to staffing levels. This study highlighted that staffing an emergency department, based on nursing hours per patient presentation, was associated with improvements in staff outcomes. The research will impact on nurses working in emergency departments as outcomes from this research were used to develop a Framework for Safe Nurse Staffing and Skill Mix in Emergency Care Settings. REPORTING

methodSTROBE and SQUIRE checklist. PATIENT OR PUBLIC CONTRIBUTION: No Patient or Public Contribution.

Indexed as

Emergency NursingEmergency Service, HospitalNursing Staff, HospitalPersonnel Staffing and SchedulingAdultBurnout, ProfessionalFemaleHumansJob SatisfactionMaleMiddle AgedQuality of Health Careburnoutemergency departmentintention to stayjob satisfactionnurse staffingplanned changepre‐post testwork environment

Identifiers

PMID39992043
PMCPMC12623703

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.