Evidence map›Paper›PMID 38464298›Full record

ArticleResearch square2024

The relationship between staffing and adverse events in Washington State hospitals: a cross-sectional study using linked hospital data.

Nathaniel D Blair-Stahn, Kyla F Woodward, Sarah J Iribarren, Alix Pletcher, Natalie Hoge, Abraham Flaxman

Open access · greenAbstract readPreprint
In one paragraph

Article in Research square, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 1 institution in 1 country.

Nathaniel D Blair-StahnUW Institute for Health Metrics and Evaluation.ORCID 0000-0001-8397-4123
Kyla F WoodwardUW School of Nursing.ORCID 0000-0002-6718-2676
Sarah J IribarrenUW School of Nursing.ORCID 0000-0003-2980-0717
Alix PletcherUW Institute for Health Metrics and Evaluation.ORCID 0009-0009-1585-4766
Natalie HogeUW School of Nursing.ORCID 0009-0000-3321-9154
Abraham FlaxmanUW Institute for Health Metrics and Evaluation.ORCID 0000-0001-6033-4713
Institute for Women's Policy Research · US

Funding

RiNGH (Research in Nursing & Global Health) Training ProgramT32NR019761 · NINR · UNIVERSITY OF WASHINGTON · PI KOHLER, PAMELA, PINTYE, JILLIAN · 2021 to 2025
$1.4M
NINR NIH HHS T32 NR019761
6 · The paper itself

Abstract

Objective: To quantify the relationship between staffing characteristics and patient outcomes in acute care hospitals in Washington state. Methods: Retrospective cross-sectional time-series study of linked data from six sources on staffing and outcomes for Washington state hospitals. Key stakeholders provided input on data sources, measures, and outcomes in a four-phase participatory process. After data cleaning and linkage, we used a random effects Poisson regression model to examine the relationship between staffing levels or characteristics and adverse outcomes. Results: The study included 263 hospital-years from 80 distinct hospitals, with 162 hospital-years from general acute care hospitals (n=46) and 101 hospital-years from critical access hospitals (n=34). In general acute care hospitals, a higher ratio of patients to care team staff is associated with a higher number of adverse events (adjusted RR, 1.36 per one SD increase; 95% UI 1.13-1.63), and a lower proportion of RNs on the care team staff is likely associated with a higher number of adverse events (adjusted RR, 1.16 per one SD increase; 95% UI, 0.97-1.39). In critical access hospitals, a lower proportion of RNs on the care team is associated with a higher number of adverse events (adjusted RR, 3.28 per one SD increase; 95% UI, 1.20-7.75). A counterfactual analysis indicated that if all general acute care hospitals had no more than the median staffing ratio of 1.2 patient hours per staff hour, the number of adverse events would be reduced by 10% (95% UI 2.7-16.8). Conclusion: RN staffing is an indisputable component of safe, high quality patient care, and other factors such as availability of care team staff, hospital features, and patient characteristics also impact patient outcomes. This study highlights the utility of merging diverse data sources to provide a comprehensive analysis of the relationships between staffing and patient outcomes.

Indexed as

care teampatient outcomesstaffingworkforce

Identifiers

PMID38464298
PMCPMC10925393
OpenAlexW4392186349

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.