Literature DB >> 25783775

On the Hospital Volume and Outcome Relationship: Does Specialization Matter More Than Volume?

Kris C L Lee1,2, Kannan Sethuraman3, Jongsay Yong2.   

Abstract

OBJECTIVE: To evaluate the relationship between hospital volume and outcome by focusing on alternative measures of volume that capture specialization and overall throughput of hospitals. DATA SOURCES/STUDY
SETTING: Hospital administrative data from the state of Victoria, Australia; data contain 1,798,474 admitted episodes reported by 135 public and private acute-care hospitals. STUDY
DESIGN: This study contrasts the volume-outcome relationship using regression models with different measures of volume; two-step and single-step risk-adjustment methods are used. DATA COLLECTION/EXTRACTION
METHODS: The sample is restricted to ischemic heart disease (IHD) patients (ICD-10 codes: I20-I25) admitted during 2001/02 to 2004/05. PRINCIPAL
FINDINGS: Overall hospital throughput and degree of specialization display more substantive implications for the volume-outcome relationship than conventional caseload volume measure. Two-step estimation when corrected for heteroscedasticity produces comparable results to single-step methods.
CONCLUSIONS: Different measures of volume could lead to vastly different conclusions about the volume-outcome relationship. Hospital specialization and throughput should both be included as measures of volume to capture the notion of size, focus, and possible congestion effects. © Health Research and Educational Trust.

Entities:  

Keywords:  Hospital volume and outcome; hospital quality; risk adjustment; specialization

Mesh:

Year:  2015        PMID: 25783775      PMCID: PMC4693841          DOI: 10.1111/1475-6773.12302

Source DB:  PubMed          Journal:  Health Serv Res        ISSN: 0017-9124            Impact factor:   3.402


  21 in total

1.  The relation between volume and outcome in health care.

Authors:  E L Hannan
Journal:  N Engl J Med       Date:  1999-05-27       Impact factor: 91.245

2.  New ICD-10 version of the Charlson comorbidity index predicted in-hospital mortality.

Authors:  Vijaya Sundararajan; Toni Henderson; Catherine Perry; Amanda Muggivan; Hude Quan; William A Ghali
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Review 3.  Tackling excessive waiting times for elective surgery: a comparative analysis of policies in 12 OECD countries.

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4.  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

Review 5.  The effect of provider case volume on cancer mortality: systematic review and meta-analysis.

Authors:  Russell L Gruen; Veronica Pitt; Sally Green; Anne Parkhill; Donald Campbell; Damien Jolley
Journal:  CA Cancer J Clin       Date:  2009 May-Jun       Impact factor: 508.702

6.  Hospital behavior under competition and cost-containment policies. The California experience, 1980 to 1985.

Authors:  G A Melnick; J Zwanziger
Journal:  JAMA       Date:  1988-11-11       Impact factor: 56.272

7.  A new method of classifying prognostic comorbidity in longitudinal studies: development and validation.

Authors:  M E Charlson; P Pompei; K L Ales; C R MacKenzie
Journal:  J Chronic Dis       Date:  1987

8.  Should operations be regionalized? The empirical relation between surgical volume and mortality.

Authors:  H S Luft; J P Bunker; A C Enthoven
Journal:  N Engl J Med       Date:  1979-12-20       Impact factor: 91.245

9.  The volume-outcome relationship: practice-makes-perfect or selective-referral patterns?

Authors:  H S Luft; S S Hunt; S C Maerki
Journal:  Health Serv Res       Date:  1987-06       Impact factor: 3.402

10.  Specialty versus community hospitals: referrals, quality, and community benefits.

Authors:  Leslie Greenwald; Jerry Cromwell; Walter Adamache; Shulamit Bernard; Edward Drozd; Elisabeth Root; Kelly Devers
Journal:  Health Aff (Millwood)       Date:  2006 Jan-Feb       Impact factor: 6.301

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  3 in total

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2.  Volume-outcome relationship on survival and cost benefits in severe burn injury: a retrospective analysis of a Japanese nationwide administrative database.

Authors:  Akira Endo; Atsushi Shiraishi; Yasuhiro Otomo; Kiyohide Fushimi; Kiyoshi Murata
Journal:  J Intensive Care       Date:  2019-01-30

3.  Association of Annual Intensive Care Unit Sepsis Caseload With Hospital Mortality From Sepsis in the United Kingdom, 2010-2016.

Authors:  Ritesh Maharaj; Alistair McGuire; Andrew Street
Journal:  JAMA Netw Open       Date:  2021-06-01
  3 in total

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