Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 485

The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.

The Impact of Hospital Nursing Characteristics on 30-Day Mortality

Estabrooks, Carole A., Midodzi, William K., Cummings, Greta G., Ricker, Kathryn L., Giovannetti, Phyllis·2005·Nursing Research

Abstract

BACKGROUND: Evidence indicates that hospital nursing characteristics such as staffing contribute to patient outcomes. Less attention has been given to other hospital nursing characteristics central to optimal professional practice, namely nurse education and skill mix, continuity of care, and quality of the work environment. OBJECTIVE: To assess the relative effects and importance of nurse education and skill mix, continuity of care, and quality of work environment in predicting 30-day mortality after adjusting for institutional factors and individual patients characteristics. METHOD: A cross-sectional analysis of outcome data for 18,142 patients discharged from 49 acute care hospitals in Alberta, Canada, for diagnoses of acute myocardial infarction, congestive heart failure, chronic obstructive pulmonary disease, pneumonia, or stroke between April 1, 1998, and March 31, 1999, was done. Mortality data were linked to patient demographic and comorbidity factors, institutional characteristics, and hospital nursing characteristics derived from a survey of all registered nurses working in acute care hospitals. RESULTS: Using multilevel analysis, it was determined that the log-odds for 30-day mortality varied significantly across hospitals (variance = .044, p < .001). Patient comorbidities and age explained 44.2% of the variance in 30-day mortality. After adjustment for patient comorbidities and demographic factors, and the size, teaching, and urban status of the study hospitals in a fixed-effects model, the odds ratios (95% confidence interval) of the significant hospital nursing characteristics that predict 30-day mortality were as follows: 0.81 (0.68-0.96) for higher nurse education level, 0.83 (0.73-0.96) for richer nurse skill mix, 1.26 (1.09-1.47) for higher proportion of casual or temporary positions, and 0.74 (0.60-0.91) for greater nurse-physician relationships. The institutional and hospital nursing characteristics explained an additional 36.9%. DISCUSSION: Hospital nursing characteristics are an important consideration in efforts to reduce the risk of 30-day mortality of patients.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1097/00006199-200503000-00002

Cites

33 of 33 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 33 references

Cited by

See all 485

Metadata

Authors
Estabrooks, C. A., Midodzi, W. K., Cummings, G. G., Ricker, K. L., & Giovannetti, P.
Venue
Nursing Research
Published
2005-03
Volume
54
Issue
2
Pages
74???84
ISSN
0029-6562 (ISSN-L)
OpenAlex
W2021047935
Cited by
485
References
33
FWCI
86.62
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: The Impact of Hospital Nursing Characteristics on 30-Day Mortality. https://app.cochat.ai/papers/10.1097/00006199-200503000-00002
The paper
Estabrooks, C. A., Midodzi, W. K., Cummings, G. G., Ricker, K. L., & Giovannetti, P. (2005). The Impact of Hospital Nursing Characteristics on 30-Day Mortality. Nursing Research. https://doi.org/10.1097/00006199-200503000-00002

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.