Literature DB >> 9226146

Output efficiency of health maintenance organizations in Florida.

R Rosenman1, K Siddharthan, M Ahern.   

Abstract

We use data envelopment analysis (DEA) to measure the relative technical efficiencies of 28 HMOs licensed to practice in the State of Florida in the autumn of 1994. Health care output measures used in the analysis are number of commercial, Medicare and Medicaid members enrolled in each plan. Inputs to the model are capital assets, total expenditures on the provision of medical services and administrative expenses. We find differences in HMO efficiency scores and loss ratios (defined as the ratio of expenses on the provision of medical services to the total expenses incurred by the organization) across individual plans. Differences in efficiency measures across model type (staff, IPA, combination) and ownership types (for-profit, not-for-profit) are small but significant: staff models and for-profits are more efficient. In a multivariate model, we also find that large HMOs are more efficient and HMOs with Medicaid patients are significantly less efficient than other HMOs.

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Year:  1997        PMID: 9226146     DOI: 10.1002/(sici)1099-1050(199705)6:3<295::aid-hec265>3.0.co;2-#

Source DB:  PubMed          Journal:  Health Econ        ISSN: 1057-9230            Impact factor:   3.046


  9 in total

1.  Comparing the agreement among alternative models in evaluating HMO efficiency.

Authors:  C L Bryce; J B Engberg; D R Wholey
Journal:  Health Serv Res       Date:  2000-06       Impact factor: 3.402

Review 2.  Efficiency measurement of health care: a review of non-parametric methods and applications.

Authors:  B Hollingsworth; P J Dawson; N Maniadakis
Journal:  Health Care Manag Sci       Date:  1999-07

3.  Do HMOs have monopsony power?

Authors:  R Feldman; D Wholey
Journal:  Int J Health Care Finance Econ       Date:  2001-03

Review 4.  Non-parametric and parametric applications measuring efficiency in health care.

Authors:  Bruce Hollingsworth
Journal:  Health Care Manag Sci       Date:  2003-11

5.  Using DEA to evaluate efficiency and formulate policy within a Greek national primary health care network. Data Envelopment Analysis.

Authors:  Athanasios I Zavras; Georgios Tsakos; Charalabos Economou; John Kyriopoulos
Journal:  J Med Syst       Date:  2002-08       Impact factor: 4.460

6.  A multiple stage approach for performance improvement of primary healthcare practice.

Authors:  Martha T Ramírez-Valdivia; Sergio Maturana; Sonia Salvo-Garrido
Journal:  J Med Syst       Date:  2010-03-10       Impact factor: 4.460

7.  A descriptive analysis of average productivity among health maintenance organizations, 1985 to 2001.

Authors:  Douglas R Wholey; John Engberg; Cindy Bryce
Journal:  Health Care Manag Sci       Date:  2006-05

8.  Data envelopment analysis comparison of hospital efficiency and quality.

Authors:  Preethy Nayar; Yasar A Ozcan
Journal:  J Med Syst       Date:  2008-06       Impact factor: 4.460

Review 9.  Efficiency and optimal size of hospitals: Results of a systematic search.

Authors:  Monica Giancotti; Annamaria Guglielmo; Marianna Mauro
Journal:  PLoS One       Date:  2017-03-29       Impact factor: 3.240

  9 in total

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