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Cited by 91Cardiac Arrest and ResuscitationCardiac electrophysiology and arrhythmiasPalliative Care and End-of-Life Issues

The DOI matches its Crossref record; 25 of the 27 references it cites were found in a registry or an index.

Association between a hospital's rate of cardiac arrest incidence and cardiac arrest survival

Open access
Chen, Lena M.·2013·JAMA Internal Medicine

Abstract

IMPORTANCE: National efforts to measure hospital performance in treating cardiac arrest have focused on case survival, with the hope of improving survival after cardiac arrest. However, it is plausible that hospitals with high case-survival rates do a poor job of preventing cardiac arrests in the first place. OBJECTIVE: To describe the association between inpatient cardiac arrest incidence and survival rates. DESIGN: Within a large, national registry, we identified hospitals with at least 50 adult in-hospital cardiac arrest cases between January 1, 2000, and November 30, 2009. We used multivariable hierarchical regression to evaluate the correlation between a hospital's cardiac arrest incidence rate and its case-survival rate after adjusting for patient and hospital characteristics. MAIN OUTCOMES AND MEASURES: The correlation between a hospital's incidence rate and case-survival rate for cardiac arrest. RESULTS: Of 102,153 cases at 358 hospitals, the median hospital cardiac arrest incidence rate was 4.02 per 1000 admissions (interquartile range, 2.95-5.65 per 1000 admissions), and the median hospital case-survival rate was 18.8% (interquartile range, 14.5%-22.6%). In crude analyses, hospitals with higher case-survival rates also had lower cardiac arrest incidence (r, -0.16; P = .003). This relationship persisted after adjusting for patient characteristics (r, -0.15; P = .004). After adjusting for potential mediators of this relationship (ie, hospital characteristics), the relationship between incidence and case survival was attenuated (r, -0.07; P = .18). The one modifiable hospital factor that most attenuated this relationship was a hospital's nurse-to-bed ratio (r, -0.12; P = .03). CONCLUSIONS AND RELEVANCE: Hospitals with exceptional rates of survival for in-hospital cardiac arrest are also better at preventing cardiac arrests, even after adjusting for patient case mix. This relationship is partially mediated by measured hospital attributes. Performance measures focused on case-survival rates seem an appropriate first step in quality measurement for in-hospital cardiac arrest.

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Metadata

Authors
Chen, L. M.
Affiliations
University of Michigan (US)
Corresponding author
Chen, Lena M.
Venue
JAMA Internal Medicine
Published
2013-07-08
Volume
173
Issue
13
Pages
1186
ISSN
2168-6106 (ISSN-L)
OpenAlex
W2101277298
Cited by
88
References
27
Citations by year
2025: 4 · 2024: 5 · 2023: 3 · 2022: 9 · 2021: 5 · 2020: 4 · 2019: 14 · 2018: 9 · 2017: 7 · 2016: 4 · 2015: 12 · 2014: 10 · 2013: 2
FWCI
9.22
Type
journal article
Language
en
Open access
Locations
  • JAMA Internal Medicine (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • U.S. Department of Veterans Affairs
  • American Heart Association
  • Health Services Research and Development
  • Agency for Healthcare Research and Quality (K08HS020671)
  • National Heart, Lung, and Blood Institute (K23HL102224)
Topics
  • Health Sciences › Medicine › Emergency Medicine › Cardiac Arrest and Resuscitation
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac electrophysiology and arrhythmias
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Palliative Care and End-of-Life Issues
Keywords
in-hospital cardiac arrest, cardiac arrest incidence, survival after cardiac arrest, hospital performance evaluation, nurse-to-bed ratio, quality of care, case mix, hospital characteristics, cardiac arrest prevention
MeSH terms
Adult, Aged, Aged, 80 and over, Female, Heart Arrest, Hospitals, Humans, Inpatients, Male, Middle Aged, Registries, Risk Factors, United States, Incidence, Survival Rate, Cardiopulmonary Resuscitation, Treatment Outcome, Risk Assessment

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