Evidence map›Paper›PMID 39072235›Full record

ArticleCritical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine2024

The impact of nursing workforce skill-mix on patient outcomes in intensive care units in Victoria, Australia.

Paul Ross, Rose Jaspers, Jason Watterson, Michelle Topple, Tania Birthisel, Melissa Rosenow, Jason McClure, Ged Williams, Wendy Pollock, David Pilcher

Abstract read
In one paragraph

Article in Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Research priorities for intensive care: A stakeholder-informed priority-setting partnership.Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine · 2026
    Article
  2. Article
  3. 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

10 authors.

Paul RossDepartment of Intensive Care, Alfred Health, 55 Commercial Road, Melbourne, 3181, VIC, Australia.
Rose JaspersSchool of Nursing and Midwifery, Monash University, Clayton, 3800, VIC, Australia.
Jason WattersonAustralian and New Zealand Intensive Care Research Centre, School of Public Health and Preventive Medicine, Monash University, Australia.
Michelle ToppleBed Management and Acute Ambulatory Services, Austin Health, 145 Studley Rd, Heidelberg, Melbourne, VIC, Australia.
Tania BirthiselDepartment of Intensive Care, Alfred Health, 55 Commercial Road, Melbourne, 3181, VIC, Australia.
Melissa RosenowAdult Retrieval Victoria, 75 Brady St, South Melbourne, VIC, Australia.
Jason McClureDepartment of Intensive Care, Alfred Health, 55 Commercial Road, Melbourne, 3181, VIC, Australia.
Ged WilliamsSchool of Nursing and Midwifery, Monash University, Clayton, 3800, VIC, Australia.
Wendy PollockSchool of Nursing and Midwifery, Monash University, Clayton, 3800, VIC, Australia.
David PilcherDepartment of Intensive Care, Alfred Health, 55 Commercial Road, Melbourne, 3181, VIC, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This article aims to examine the impact of nursing workforce skill-mix (percentage of critical care registered nurses [CCRN]) in the intensive care unit (ICU) during a patient's stay. Design: Registry linked cohort study of the Australian and New Zealand Intensive Care Society Adult Patient Database and the Critical Health Resources Information System using real-time nursing workforce data. Settings: Fifteen public and 5 private hospital ICUs in Victoria, Australia. Participants: There were 16,618 adult patients admitted between 1 December 2021 and 30 September 2022. Main outcome measures: Primary outcome: in-hospital mortality. Secondary outcomes: in-ICU mortality, development of delirium, pressure injury, duration of stay in-ICU and hospital, after-hours discharge from ICU and readmission to ICU. Results: In total, 6563 (39.5%) patients were cared for in ICUs with >75% CCRN, 7695 (46.3%) in ICUs with 50-75% CCRN, and 2360 (14.2%) in ICUs with <50% CCRN. In-hospital mortality was 534 (8.1%) vs. 859 (11.2%) vs. 252 (10.7%) respectively. After adjusting for confounders, patients cared for in ICUs with 50-75% CCRN (adjusted OR 1.21 [95% CI 1.02-1.45]) were more likely to die compared to patients in ICUs with >75% CCRN. A similar but non-significant trend was seen in ICUs with <50% CCRN (adjusted OR 1.21 [95% CI 0.94-1.55]), when compared to patients in ICUs with >75% CCRN. In-ICU mortality, delirium, pressure injuries, after-hours discharge and ICU length of stay were lower in ICUs with CCRN>75%. Conclusion: The nursing skill-mix in ICU impacts outcomes and should be routinely monitored. Health system regulators, hospital administrators and ICU leaders should ensure nursing workforce planning and education align with these findings to maximise patient outcomes.

Indexed as

Critical careICUIntensive careMortalityNursesNursing staffPatient harmPatient safetySkill-mixWorkforce

Identifiers

PMID39072235
PMCPMC11282374

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.