Literature DB >> 10589110

Can hospital structural and financial characteristics explain variations in mortality caused by acute myocardial infarction?

M A Schultz1, G van Servellen, M S Litwin, E J McLaughlin, G C Uman.   

Abstract

Each year 1 in 160 people in the United States suffers from acute myocardial infarction (AMI). Of these more than 1.5 million cases annually, 500,000 end in fatalities. This study's purpose was to describe and evaluate the role hospital characteristics play in rates of mortality caused by AMI in acute-care California hospitals. Characteristics evaluated include structural characteristics--i.e., teaching status, percentage of board-certified physicians, registered nurse hours per patient day (RN hours/patient day), volume of cases, technological resource availability, and urban density; and financial characteristics--profit status and total operating expenses per patient day. Although part of a larger investigation correlating mortality and length of stay, this article reports only the results for significant influences on mortality.

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Year:  1999        PMID: 10589110     DOI: 10.1016/s0897-1897(99)80285-7

Source DB:  PubMed          Journal:  Appl Nurs Res        ISSN: 0897-1897            Impact factor:   2.257


  7 in total

Review 1.  A systematic review and meta-analysis of studies comparing mortality rates of private for-profit and private not-for-profit hospitals.

Authors:  P J Devereaux; Peter T L Choi; Christina Lacchetti; Bruce Weaver; Holger J Schünemann; Ted Haines; John N Lavis; Brydon J B Grant; David R S Haslam; Mohit Bhandari; Terrence Sullivan; Deborah J Cook; Stephen D Walter; Maureen Meade; Humaira Khan; Neera Bhatnagar; Gordon H Guyatt
Journal:  CMAJ       Date:  2002-05-28       Impact factor: 8.262

Review 2.  Teaching hospitals and quality of care: a review of the literature.

Authors:  John Z Ayanian; Joel S Weissman
Journal:  Milbank Q       Date:  2002       Impact factor: 4.911

3.  The effect of changes in hospital reimbursement on nurse staffing decisions at safety net and nonsafety net hospitals.

Authors:  Richard C Lindrooth; Gloria J Bazzoli; Jack Needleman; Romana Hasnain-Wynia
Journal:  Health Serv Res       Date:  2006-06       Impact factor: 3.402

4.  Is more better? An analysis of hospital outcomes and efficiency with a DEA model of output congestion.

Authors:  Jan P Clement; Vivian G Valdmanis; Gloria J Bazzoli; Mei Zhao; Askar Chukmaitov
Journal:  Health Care Manag Sci       Date:  2008-03

5.  Association of Hospital Teaching Status with Neurosurgical Outcomes: An Instrumental Variable Analysis.

Authors:  Kimon Bekelis; Symeon Missios; Shannon Coy; Todd A MacKenzie
Journal:  World Neurosurg       Date:  2017-11-23       Impact factor: 2.104

6.  Quality of care in the US territories.

Authors:  Marcella Nunez-Smith; Elizabeth H Bradley; Jeph Herrin; Calie Santana; Leslie A Curry; Sharon-Lise T Normand; Harlan M Krumholz
Journal:  Arch Intern Med       Date:  2011-06-27

7.  The Different Classification of Hospitals Impact on Medical Outcomes of Patients in China.

Authors:  Lele Li; Tiantian Du; Siyu Zeng
Journal:  Front Public Health       Date:  2022-07-18
  7 in total

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