Literature DB >> 1729589

Volume-outcome relationships and in-hospital mortality: the effect of changes in volume over time.

D E Farley1, R J Ozminkowski.   

Abstract

This study examines whether patient outcomes are affected by changes in volume over time within hospitals and whether such effects are consistent with cross-sectional results previously reported in the literature. Investigating the existence of volume-outcome relationships longitudinally for specific groups of patients relates directly to the policy issue of whether, and how, specific inpatient services should be regionalized. The analysis uses up to 8 years of observations from a national sample of nearly 500 community hospitals. Outcomes are measured as inhospital mortality adjusted for case severity. Instrumental variables techniques are used to test and control for the possibility of selective referral. The results suggest that higher volume leads to better outcomes for certain groups of patients. Among the groups studied here, increases in volume lowered adjusted mortality rates for acute myocardial infarction, hernia repair, and respiratory distress syndrome in neonates; correlations were observed between volume and outcome for coronary artery bypass grafts, which seemed to be due primarily to referral patterns; and, no significant findings were found for hip replacements. In general, the effects of volume on outcome appear to be larger when estimated from longitudinal, rather than cross-sectional, data.

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Year:  1992        PMID: 1729589     DOI: 10.1097/00005650-199201000-00009

Source DB:  PubMed          Journal:  Med Care        ISSN: 0025-7079            Impact factor:   2.983


  22 in total

1.  Deregionalization of neonatal intensive care in urban areas.

Authors:  Embry M Howell; Douglas Richardson; Paul Ginsburg; Barbara Foot
Journal:  Am J Public Health       Date:  2002-01       Impact factor: 9.308

2.  Hospital volume and 30-day mortality for three common medical conditions.

Authors:  Joseph S Ross; Sharon-Lise T Normand; Yun Wang; Dennis T Ko; Jersey Chen; Elizabeth E Drye; Patricia S Keenan; Judith H Lichtman; Héctor Bueno; Geoffrey C Schreiner; Harlan M Krumholz
Journal:  N Engl J Med       Date:  2010-03-25       Impact factor: 91.245

3.  Overcoming bias in estimating the volume-outcome relationship.

Authors:  Alexander C Tsai; Mark Votruba; John F P Bridges; Randall D Cebul
Journal:  Health Serv Res       Date:  2006-02       Impact factor: 3.402

4.  The importance of technology for achieving superior outcomes from intensive care. Brazil APACHE III Study Group.

Authors:  P G Bastos; W A Knaus; J E Zimmerman; A Magalhães; X Sun; D P Wagner
Journal:  Intensive Care Med       Date:  1996-07       Impact factor: 17.440

Review 5.  Organizational structure and the delivery of primary care to older Americans.

Authors:  J S Zinn; V Mor
Journal:  Health Serv Res       Date:  1998-06       Impact factor: 3.402

6.  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

7.  Volume and outcome in coronary artery bypass graft surgery: true association or artefact?

Authors:  A J Sowden; J J Deeks; T A Sheldon
Journal:  BMJ       Date:  1995-07-15

8.  Paediatric intensive care transport.

Authors:  D J Macrae
Journal:  Arch Dis Child       Date:  1994-08       Impact factor: 3.791

9.  The Volume-Outcome Relationship Revisited: Practice Indeed Makes Perfect.

Authors:  Corinna Hentschker; Roman Mennicken
Journal:  Health Serv Res       Date:  2017-09-04       Impact factor: 3.402

10.  Hospital coronary artery bypass graft surgery volume and patient mortality, 1998-2000.

Authors:  Saif S Rathore; Andrew J Epstein; Kevin G M Volpp; Harlan M Krumholz
Journal:  Ann Surg       Date:  2004-01       Impact factor: 12.969

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