Evidence map›Paper›PMID 40216433›Full record

Observational studyBMJ open2025

National survey evaluating the introduction of new and alternative staffing models in intensive care (SEISMIC-R) in the UK.

Rebecca Hadley, Burcu Dogan, Niamh Wood, Niamh Bohnacker, Paul R Mouncey, Natalie Pattison, SEISMIC-R investigator group

Registry-linked trialAbstract readObservational Study
In one paragraph

Observational study in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05917574 (A Study to Evaluate the Introduction of New Staffing Models in Intensive Care), which is not on this 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.

NCT05917574 completednot on this map

A Study to Evaluate the Introduction of New Staffing Models in Intensive Care: a Realist Evaluation (SEISMIC-R)

TypeobservationalSponsorUniversity of HertfordshireRan2023 to 2025Enrolled87ConditionsCritical Illness, Staff Attitude, Organisation, Intensive CareArmsn/a (non-interventional)
3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Observational
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

7 authors.

Rebecca HadleyUniversity of Hertfordshire, Hatfield, UK.
Burcu DoganUniversity of Hertfordshire, Hatfield, UK.ORCID http://orcid.org/0000-0003-4950-9927
Niamh WoodIntensive Care National Audit and Research Centre, London, UK.
Niamh BohnackerImperial College Healthcare NHS Trust, London, UK.
Paul R MounceyClinical Trials Unit, ICNARC, London, UK.ORCID http://orcid.org/0000-0002-8510-8517
Natalie PattisonSchool of Health and Social Work, University of Hertfordshire, Hatfield, UK n.pattison@herts.ac.uk.ORCID http://orcid.org/0000-0002-6771-8733
SEISMIC-R investigator group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo report on the findings from a national survey of UK intensive care units (ICUs) exploring nurse staffing models currently in use and changes since COVID-19.

designA survey was designed and distributed using a web-based platform to senior unit leads via Intensive care national audit & research centre contacts.

participantsSenior nurses representing the 331 National Health Service adult ICUs across the UK (across 231 hospitals/155 trusts), including the Channel Islands and Isle of Man. OUTCOME MEASURES: A 15-item survey.

resultsA total of 196 survey responses representing 300 units, majority general and single units, resulting in a 90.6% unit-level response rate. ICU unit characteristics included the average number of total, level 3 and level 2 critical care beds of 26.36 (SD=21.48), 15.67 (SD=15.33) and 10.96 (SD=8.86), respectively. Most units reported nurse to patient ratios compliant with national guidelines and service specifications. Post-COVID-19 changes to ICU nurse staffing establishments were reported by 44% respondents, including increases in non-registered staff. However, limited data were provided regarding decision-making around and changes to bedside allocation of nurses since COVID-19.

conclusionsIncreased numbers and use of non-registered staff within the ICU is indicative of an alternative staffing model to address nursing shortages. However, more research is needed to understand how this staffing group is being used compared with, and alongside, registered nurses. TRIAL REGISTRATION NUMBER: Clinicaltrials.gov: NCT05917574.

Indexed as

COVID-19Critical CareIntensive Care UnitsNursing Staff, HospitalPersonnel Staffing and SchedulingHumansSARS-CoV-2Surveys and QuestionnairesUnited KingdomAdult intensive & critical careHealth policyNursesRationingSurveys and Questionnaires

Identifiers

PMID40216433
PMCPMC11987101

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.