Literature DB >> 24221831

Association between a hospital's quality performance for in-hospital cardiac arrest and common medical conditions.

Lena M Chen1, Brahmajee K Nallamothu, Harlan M Krumholz, John A Spertus, Fengming Tang, Paul S Chan.   

Abstract

BACKGROUND: Public reporting on hospital quality has been widely adopted for common medical conditions. Adding a measure of inpatient survival after cardiac arrest is being considered. It is unknown whether this measure would be redundant, given evidence that hospital organization and culture can have hospital-wide effects on quality. Therefore, we sought to evaluate the correlation between inpatient survival after cardiac arrest and 30-day risk-standardized mortality rates for common medical conditions. METHODS AND
RESULTS: Using data between 2007 and 2010 from a national in-hospital cardiac arrest registry, we calculated risk-standardized in-hospital survival rates for cardiac arrest at each hospital. We obtained risk-standardized 30-day mortality rates for acute myocardial infarction, heart failure, and pneumonia from Hospital Compare for the same period. The relationship between a hospital's performance on cardiac arrest and these other medical conditions was assessed using weighted Pearson correlation coefficients. Among 26 270 patients with in-hospital cardiac arrest at 130 hospitals, survival rates varied across hospitals, with a median risk-standardized hospital survival rate of 22.1% and an interquartile range of 19.7% to 24.2%. There were no significant correlations between a hospital's outcomes for its cardiac arrest patients and its patients admitted for acute myocardial infarction (correlation, -0.12; P=0.16), heart failure (correlation, -0.05; P=0.57), or pneumonia (correlation, -0.15; P=0.10).
CONCLUSIONS: Hospitals that performed better on publicly reported outcomes for 3 common medical conditions did not necessarily have better cardiac arrest survival rates. Public reporting on cardiac arrest outcomes could provide new information about hospital quality.

Entities:  

Keywords:  heart failure; myocardial infarction; resuscitation

Mesh:

Year:  2013        PMID: 24221831      PMCID: PMC4465597          DOI: 10.1161/CIRCOUTCOMES.113.000377

Source DB:  PubMed          Journal:  Circ Cardiovasc Qual Outcomes        ISSN: 1941-7713


  31 in total

1.  Physicians' identification of factors associated with quality in high- and low-performing hospitals.

Authors:  Peter M Hockey; David W Bates
Journal:  Jt Comm J Qual Patient Saf       Date:  2010-05

2.  Are mortality rates for different operations related?: implications for measuring the quality of noncardiac surgery.

Authors:  Justin B Dimick; Douglas O Staiger; John D Birkmeyer
Journal:  Med Care       Date:  2006-08       Impact factor: 2.983

3.  The effects of health information technology on inpatient care.

Authors:  David W Bates
Journal:  Arch Intern Med       Date:  2009-01-26

4.  Clinical information technologies and inpatient outcomes: a multiple hospital study.

Authors:  Ruben Amarasingham; Laura Plantinga; Marie Diener-West; Darrell J Gaskin; Neil R Powe
Journal:  Arch Intern Med       Date:  2009-01-26

5.  The influence of organizational context on quality improvement and patient safety efforts in infection prevention: a multi-center qualitative study.

Authors:  Sarah L Krein; Laura J Damschroder; Christine P Kowalski; Jane Forman; Timothy P Hofer; Sanjay Saint
Journal:  Soc Sci Med       Date:  2010-09-28       Impact factor: 4.634

6.  Relationship between Medicare's hospital compare performance measures and mortality rates.

Authors:  Rachel M Werner; Eric T Bradlow
Journal:  JAMA       Date:  2006-12-13       Impact factor: 56.272

7.  Epidemiologic study of in-hospital cardiopulmonary resuscitation in the elderly.

Authors:  William J Ehlenbach; Amber E Barnato; J Randall Curtis; William Kreuter; Thomas D Koepsell; Richard A Deyo; Renee D Stapleton
Journal:  N Engl J Med       Date:  2009-07-02       Impact factor: 91.245

8.  Hospital variation in time to defibrillation after in-hospital cardiac arrest.

Authors:  Paul S Chan; Graham Nichol; Harlan M Krumholz; John A Spertus; Brahmajee K Nallamothu
Journal:  Arch Intern Med       Date:  2009-07-27

9.  An administrative claims model suitable for profiling hospital performance based on 30-day mortality rates among patients with an acute myocardial infarction.

Authors:  Harlan M Krumholz; Yun Wang; Jennifer A Mattera; Yongfei Wang; Lein Fang Han; Melvin J Ingber; Sheila Roman; Sharon-Lise T Normand
Journal:  Circulation       Date:  2006-03-20       Impact factor: 29.690

10.  Patient safety climate in 92 US hospitals: differences by work area and discipline.

Authors:  Sara J Singer; David M Gaba; Alyson Falwell; Shoutzu Lin; Jennifer Hayes; Laurence Baker
Journal:  Med Care       Date:  2009-01       Impact factor: 2.983

View more
  4 in total

1.  Association Between Hospital Process Composite Performance and Patient Outcomes After In-Hospital Cardiac Arrest Care.

Authors:  Monique L Anderson; Graham Nichol; David Dai; Paul S Chan; Laine Thomas; Sana M Al-Khatib; Robert A Berg; Steven M Bradley; Eric D Peterson
Journal:  JAMA Cardiol       Date:  2016-04-01       Impact factor: 14.676

2.  Double Disadvantage in Delivery Hospital for Black and Hispanic Women and High-Risk Infants.

Authors:  Elizabeth A Howell; Teresa Janevic; James Blum; Jennifer Zeitlin; Natalia N Egorova; Amy Balbierz; Paul L Hebert
Journal:  Matern Child Health J       Date:  2020-06

3.  Survival by the fittest: hospital-level variation in quality of resuscitation care.

Authors:  Shashank S Sinha; Lena M Chen; Brahmajee K Nallamothu
Journal:  J Am Heart Assoc       Date:  2014-02-28       Impact factor: 5.501

4.  Hospital heterogeneity: what drives the quality of health care.

Authors:  Manhal Ali; Reza Salehnejad; Mohaimen Mansur
Journal:  Eur J Health Econ       Date:  2017-04-24
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.