Literature DB >> 4021577

Determinants of market share for a hospital's services.

G M Erickson, S A Finkler.   

Abstract

This study identifies and analyzes factors under a hospital's control that can affect its market share. The study, utilizing the Multiplicative Competitive Interaction model, specifically focuses on determining the market share for each hospital within a geographic area, as opposed to the total demand for hospital services within an area. The results indicate that the effect of the number of physician affiliations on hospital patient share is statistically significant. The article investigates the variables that affect the level of physician affiliation. Besides physician affiliation, hospital location, a PROFILE factor based on a composite of a number of variables, and the proportion of affiliated physicians who are not affiliated elsewhere have a significant impact on each hospital's market share. The variables examined resulted in an R2 = 0.901 for individual hospital patient market share.

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Year:  1985        PMID: 4021577     DOI: 10.1097/00005650-198508000-00008

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


  7 in total

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Authors:  M L Mayer
Journal:  Health Serv Res       Date:  1999-12       Impact factor: 3.402

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3.  Market capture of inpatient perioperative services using DEA.

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

4.  A variable-radius measure of local hospital market structure.

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Journal:  Health Serv Res       Date:  1993-08       Impact factor: 3.402

5.  Defining rural hospital markets.

Authors:  B Goody
Journal:  Health Serv Res       Date:  1993-06       Impact factor: 3.402

6.  Choice of hospital for delivery: a comparison of high-risk and low-risk women.

Authors:  C S Phibbs; D H Mark; H S Luft; D J Peltzman-Rennie; D W Garnick; E Lichtenberg; S J McPhee
Journal:  Health Serv Res       Date:  1993-06       Impact factor: 3.402

7.  Risk of Death Influences Regional Variation in Intensive Care Unit Admission Rates among the Elderly in the United States.

Authors:  Colin R Cooke
Journal:  PLoS One       Date:  2016-11-29       Impact factor: 3.240

  7 in total

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