Literature DB >> 3080647

Selecting categories of patients for regionalization. Implications of the relationship between volume and outcome.

S C Maerki, H S Luft, S S Hunt.   

Abstract

A growing number of researchers have demonstrated an inverse relation between the number of patients treated with specific diagnoses or procedures in a hospital and subsequent adverse outcomes. Such findings support the notion that policies should be explored to concentrate patients in selected hospitals to reduce preventable patient mortality or morbidity. The authors used data from 15 diagnoses and procedures demonstrating an inverse relation between volume and mortality to explore the different implications of regionalization policies across categories of patients. In some instances, concentrating patients in hospitals with high volumes of such patients could avert more than 60% of all deaths. For some procedures or diagnoses, however, such mortality savings are either medically infeasible because of the emergency nature of the problem or logistically impossible because of the extent of regionalization implied.

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Year:  1986        PMID: 3080647     DOI: 10.1097/00005650-198602000-00006

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


  26 in total

Review 1.  Volume of clinical activity in hospitals and healthcare outcomes, costs, and patient access.

Authors:  A Sowden; V Aletras; M Place; N Rice; A Eastwood; R Grilli; B Ferguson; J Posnett; T Sheldon
Journal:  Qual Health Care       Date:  1997-06

Review 2.  Rural hospitals: a literature synthesis and health services research agenda.

Authors:  I S Moscovice
Journal:  Health Serv Res       Date:  1989-02       Impact factor: 3.402

3.  The accuracy of Medicare's hospital claims data: progress has been made, but problems remain.

Authors:  E S Fisher; F S Whaley; W M Krushat; D J Malenka; C Fleming; J A Baron; D C Hsia
Journal:  Am J Public Health       Date:  1992-02       Impact factor: 9.308

4.  The effects of regionalization on cost and outcome for one general high-risk surgical procedure.

Authors:  T A Gordon; G P Burleyson; J M Tielsch; J L Cameron
Journal:  Ann Surg       Date:  1995-01       Impact factor: 12.969

5.  The learning curve and the cost of heart transplantation.

Authors:  J R Woods; R M Saywell; A W Nyhuis; S J Jay; R G Lohrman; H G Halbrook
Journal:  Health Serv Res       Date:  1992-06       Impact factor: 3.402

Review 6.  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

7.  Are small hospitals with small intensive care units able to treat patients with severe sepsis?

Authors:  Matti Reinikainen; Sari Karlsson; Tero Varpula; Ilkka Parviainen; Esko Ruokonen; Marjut Varpula; Tero Ala-Kokko; Ville Pettilä
Journal:  Intensive Care Med       Date:  2010-02-09       Impact factor: 17.440

8.  [Effects of minimum volume regulations. Orthopedic and trauma-specific implications].

Authors:  D Stengel
Journal:  Unfallchirurg       Date:  2012-09       Impact factor: 1.000

9.  The relation of obstetrical volume and nursery level to perinatal mortality.

Authors:  J A Mayfield; R A Rosenblatt; L M Baldwin; J Chu; J P Logerfo
Journal:  Am J Public Health       Date:  1990-07       Impact factor: 9.308

10.  Modeling the volume-effectiveness relationship in the case of hip fracture treatment in Finland.

Authors:  Reijo Sund
Journal:  BMC Health Serv Res       Date:  2010-08-13       Impact factor: 2.655

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