Literature DB >> 11427140

Relationship between annual volume of patients treated by admitting physician and mortality after acute myocardial infarction.

J V Tu1, P C Austin, B T Chan.   

Abstract

CONTEXT: Acute myocardial infarction (AMI) is a common condition that is treated by physicians with varying levels of clinical experience, but whether the level of experience affects outcome remains uncertain.
OBJECTIVE: To evaluate the relationship between the average annual volume of cases treated by admitting physicians and mortality after AMI. DESIGN, SETTING, AND PATIENTS: Retrospective cohort study using linked administrative databases containing patient admission information for 98 194 patients treated by 5374 physicians between April 1, 1992, and March 31, 1998, in Ontario, Canada. MAIN OUTCOME MEASURES: Mortality risk rates for 30 days and 1 year post-AMI, adjusted by physician volume and patient, physician, and hospital characteristics.
RESULTS: The 30-day mortality rate was 13.5% and the 1-year mortality rate was 21.8%. A strong inverse relationship between the average annual volume of AMI cases treated by the admitting physician and mortality after an AMI was observed. The 30-day risk-adjusted mortality rate was 15.3% for physicians who treated 5 or fewer AMI cases per year (lowest quartile) compared with 11.8% for physicians who treated more than 24 AMI cases annually (highest quartile; P<.001). The 1-year risk-adjusted mortality rate was 24.2% for physicians who treated 5 or fewer AMI cases per year (lowest quartile) compared with 19.6% for physicians who treated more than 24 AMI cases annually (highest quartile; P<.001).
CONCLUSION: Patients with AMI who are treated by high-volume admitting physicians are more likely to survive at 30 days and 1 year.

Entities:  

Mesh:

Year:  2001        PMID: 11427140     DOI: 10.1001/jama.285.24.3116

Source DB:  PubMed          Journal:  JAMA        ISSN: 0098-7484            Impact factor:   56.272


  34 in total

1.  Does delivery volume of family physicians predict maternal and newborn outcome?

Authors:  Michael C Klein; Andrea Spence; Janusz Kaczorowski; Ann Kelly; Stefan Grzybowski
Journal:  CMAJ       Date:  2002-05-14       Impact factor: 8.262

Review 2.  A review of the application of propensity score methods yielded increasing use, advantages in specific settings, but not substantially different estimates compared with conventional multivariable methods.

Authors:  Til Stürmer; Manisha Joshi; Robert J Glynn; Jerry Avorn; Kenneth J Rothman; Sebastian Schneeweiss
Journal:  J Clin Epidemiol       Date:  2005-10-13       Impact factor: 6.437

3.  Retention, learning by doing, and performance in emergency medical services.

Authors:  Guy David; Tanguy Brachet
Journal:  Health Serv Res       Date:  2009-03-05       Impact factor: 3.402

4.  The Hospital Compare mortality model and the volume-outcome relationship.

Authors:  Jeffrey H Silber; Paul R Rosenbaum; Tanguy J Brachet; Richard N Ross; Laura J Bressler; Orit Even-Shoshan; Scott A Lorch; Kevin G Volpp
Journal:  Health Serv Res       Date:  2010-10       Impact factor: 3.402

5.  Association of Practitioner Interfacility Triage Performance With Outcomes for Severely Injured Patients With Fee-for-Service Medicare Insurance.

Authors:  Deepika Mohan; David J Wallace; Samantha J Kerti; Derek C Angus; Matthew R Rosengart; Amber E Barnato; Donald M Yealy; Baruch Fischhoff; Chung-Chou Chang; Jeremy M Kahn
Journal:  JAMA Surg       Date:  2019-12-18       Impact factor: 14.766

6.  Validity and utility of ICD-10 administrative health data for identifying ST- and non-ST-elevation myocardial infarction based on physician chart review.

Authors:  Alka B Patel; Hude Quan; Robert C Welsh; Jessica Deckert-Sookram; Wayne Tymchak; Sunil Sookram; Ian Surdhar; Padma Kaul
Journal:  CMAJ Open       Date:  2015-10-02

7.  Hospital volume and patient outcomes in pulmonary embolism.

Authors:  Drahomir Aujesky; Maria K Mor; Ming Geng; Michael J Fine; Bertrand Renaud; Said A Ibrahim
Journal:  CMAJ       Date:  2008-01-01       Impact factor: 8.262

8.  Patient and physician predictors of post-fracture osteoporosis management.

Authors:  Adam E Block; Daniel H Solomon; Suzanne M Cadarette; Helen Mogun; Niteesh K Choudhry
Journal:  J Gen Intern Med       Date:  2008-06-27       Impact factor: 5.128

9.  Continuity of care and patient outcomes after hospital discharge.

Authors:  Carl van Walraven; Muhammad Mamdani; Jiming Fang; Peter C Austin
Journal:  J Gen Intern Med       Date:  2004-06       Impact factor: 5.128

Review 10.  Pro/con debate: do the benefits of regionalized critical care delivery outweigh the risks of interfacility patient transport?

Authors:  Jeffrey M Singh; Russell D MacDonald
Journal:  Crit Care       Date:  2009-08-10       Impact factor: 9.097

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.