Literature DB >> 15952609

Quantifying effect of a hospital's caseload for a surgical specialty on that of another hospital using multi-attribute market segments.

Franklin Dexter1, Ruth E Wachtel, Min-Woong Sohn, Johannes Ledolter, Elisabeth U Dexter, Alex Macario.   

Abstract

Inpatient and outpatient data were used to create market segments consisting of hierarchical combinations of surgical procedure, then type of payer, and then location of patients' residences. The competitive effect of one hospital's caseload for a given surgical specialty on the caseload of another hospital was determined from the numbers of patients in each segment. Earlier methods for estimating surgical competition that ignored market segments over-estimated the competitive effects of one hospital on another. Thus, results differed from those obtained previously for all types of hospital admissions. When actual market segments with homogeneous groups of patients are used, competitive effects of hospitals in the same market area are far less than expected.

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Year:  2005        PMID: 15952609     DOI: 10.1007/s10729-005-0395-5

Source DB:  PubMed          Journal:  Health Care Manag Sci        ISSN: 1386-9620


  12 in total

1.  What sample sizes are required for pooling surgical case durations among facilities to decrease the incidence of procedures with little historical data?

Authors:  Franklin Dexter; Rodney D Traub; Lee A Fleisher; Peter Rock
Journal:  Anesthesiology       Date:  2002-05       Impact factor: 7.892

2.  Market capture of inpatient perioperative services using DEA.

Authors:  Liam O'Neill; Franklin Dexter
Journal:  Health Care Manag Sci       Date:  2004-11

3.  Data envelopment analysis to determine by how much hospitals can increase elective inpatient surgical workload for each specialty.

Authors:  Franklin Dexter; Liam O'Neill
Journal:  Anesth Analg       Date:  2004-11       Impact factor: 5.108

4.  Predicting hospital choice for rural Medicare beneficiaries: the role of severity of illness.

Authors:  E K Adams; R Houchens; G E Wright; J Robbins
Journal:  Health Serv Res       Date:  1991-12       Impact factor: 3.402

5.  Appropriate measures of hospital market areas.

Authors:  D W Garnick; H S Luft; J C Robinson; J Tetreault
Journal:  Health Serv Res       Date:  1987-04       Impact factor: 3.402

6.  Geographic market areas for psychiatric and medical outpatient treatment.

Authors:  J C Fortney; A E Lancaster; R R Owen; M Zhang
Journal:  J Behav Health Serv Res       Date:  1998-02       Impact factor: 1.505

7.  Workload projections for surgical oncology: will we need more surgeons?

Authors:  David A Etzioni; Jerome H Liu; Melinda A Maggard; Jessica B O'Connell; Clifford Y Ko
Journal:  Ann Surg Oncol       Date:  2003-11       Impact factor: 5.344

8.  Hospital profitability for a surgeon's common procedures predicts the surgeon's overall profitability for the hospital.

Authors:  F Dexter; A Macario; S M Cerone
Journal:  J Clin Anesth       Date:  1998-09       Impact factor: 9.452

9.  Use of discharge abstract databases to differentiate among pediatric hospitals based on operative procedures: surgery in infants and young children in the state of Iowa.

Authors:  Franklin Dexter; Ruth E Wachtel; Jack C Yue
Journal:  Anesthesiology       Date:  2003-08       Impact factor: 7.892

10.  Regionalization of high-risk surgery and implications for patient travel times.

Authors:  John D Birkmeyer; Andrea E Siewers; Nancy J Marth; David C Goodman
Journal:  JAMA       Date:  2003-11-26       Impact factor: 56.272

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  1 in total

1.  Prior research in measuring financial differences among surgical specialties and using such differences in decision making.

Authors:  Franklin Dexter
Journal:  Ann Surg       Date:  2006-11       Impact factor: 12.969

  1 in total

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