Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 332

The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.

Impact of hospital nursing care on 30‐day mortality for acute medical patients

Open access
Tourangeau, Ann E., Doran, Diane M., Hall, Linda McGillis, O'Brien Pallas, Linda, Pringle, Dorothy, Tu, Jack V., Cranley, Lisa A.·2007·Journal of Advanced Nursing

Abstract

Aim. This paper reports on structures and processes of hospital care influencing 30‐day mortality for acute medical patients. Background. Wide variation in risk‐adjusted 30‐day hospital mortality rates for acute medical patients indicates that hospital structures and processes of care affect patient death. Because nurses provide the majority of care to hospitalized patients, we propose that structures and processes of nursing care have an impact on patient death or survival. Method. A model hypothesizing the impact of nursing‐related hospital care structures and processes on 30‐day mortality was tested. Patient data from the Ontario, Canada Discharge Abstract Database 2002–2003, nurse data from the Ontario Nurse Survey 2003, and hospital staffing data from the Ontario Hospital Reporting System 2002–2003 files were used to develop indicators for variables hypothesized to impact 30‐day mortality. Two multiple regression models were implemented to test the model. First, all variables were forced to enter the model simultaneously. Second, backward regression was implemented. Findings. Using backward regression, 45% of variance in risk‐adjusted 30‐day mortality rates was explained by eight predictors. Lower 30‐day mortality rates were associated with hospitals that had a higher percentage of Registered Nurse staff, a higher percentage of baccalaureate‐prepared nurses, a lower dose or amount of all categories of nursing staff per weighted patient case, higher nurse‐reported adequacy of staffing and resources, higher use of care maps or protocols to guide patient care, higher nurse‐reported care quality, lower nurse‐reported adequacy of manager ability and support, and higher nurse burnout. Conclusion. Just as hospitals and clinicians caring for patients focus carefully on completing accurate diagnosis and appropriate and effective interventions, so too should hospitals carefully plan and manage structures and processes of care such as the proportion of Registered Nurses in the staff mix, percentage of baccalaureate‐prepared nurses, and routine use of care maps to minimize unnecessary patient death.

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 · 10.1111/j.1365-2648.2006.04084.x

Cites

39 of 39 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 39 references

Cited by

See all 332

Metadata

Authors
Tourangeau, A. E., Doran, D. M., Hall, L. M., O'Brien Pallas, L., Pringle, D., Tu, J. V., & Cranley, L. A.
Venue
Journal of Advanced Nursing
Publisher
Wiley
Published
2006-11-10
Volume
57
Issue
1
Pages
32-44
ISSN
  • 0309-2402 (ISSN-L)
  • 1365-2648
OpenAlex
W2032816295
Cited by
332
References
39
FWCI
45.14
Type
journal article
Language
en
Open access
bronze

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: Impact of hospital nursing care on 30‐day mortality for acute medical patients. https://app.cochat.ai/papers/10.1111/j.1365-2648.2006.04084.x
The paper
Tourangeau, A. E., Doran, D. M., Hall, L. M., O'Brien Pallas, L., Pringle, D., Tu, J. V., & Cranley, L. A. (2007). Impact of hospital nursing care on 30‐day mortality for acute medical patients. Journal of Advanced Nursing. https://doi.org/10.1111/j.1365-2648.2006.04084.x

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.