Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Comparing the agreement among alternative models in evaluating HMO efficiency.

C L Bryce1, J B Engberg, D R Wholey

  • 1Center for Research on Health Care, University of Pittsburgh, PA 15213, USA.

Health Services Research
|June 17, 2000
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Cost-effectiveness of pediatric heart transplantation across a positive crossmatch for high waitlist urgency candidates.

American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons·2015
Same author

Comparison of listing strategies for allosensitized heart transplant candidates requiring transplant at high urgency: a decision model analysis.

American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons·2015
Same author

Sociodemographic differences in early access to liver transplantation services.

American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons·2009
Same author

Impact of hepatitis C virus infection and other comorbidities on survival in patients on dialysis.

Journal of viral hepatitis·2007
Same author

Do incentives matter? Providing benefits to families of organ donors.

American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons·2005
Same author

Determinants of information technology outsourcing among health maintenance organizations.

Health care management science·2001

Different efficiency models yield similar industry trends but vary in assessing individual health maintenance organization (HMO) performance. Model choice significantly impacts efficiency findings, cautioning against using them for benchmarking or rate-setting without considering methodological limitations.

Area of Science:

  • Health Services Research
  • Health Economics
  • Management Science

Background:

  • Health maintenance organizations (HMOs) are key players in healthcare delivery.
  • Assessing the efficiency of HMOs is crucial for resource allocation and performance evaluation.
  • Existing efficiency models may produce divergent results, impacting their practical application.

Purpose of the Study:

  • To evaluate the efficiency of health maintenance organizations (HMOs).
  • To test the robustness of efficiency findings across different analytical models.
  • To determine if parallel models using the same data yield consistent insights.

Main Methods:

  • Utilized a dataset of 585 HMOs from 1985-1994, including enrollment, utilization, and financial data.

Related Experiment Videos

  • Computed three distinct efficiency estimates for each HMO.
  • Regressed efficiency estimates against case mix, quality, and other relevant factors.

    • Main Results:

    • All models identified similar overall trends for the HMO industry.
    • Significant differences were observed in the assessment of individual HMO technical efficiency across models.
    • Model selection influenced the identification of efficient firms, potentially overshadowing actual performance.

    Conclusions:

    • The choice of efficiency estimation technique critically affects study outcomes.
    • Findings highlight limitations for using these models in benchmarking or rate-setting.
    • Discrepancies across models serve as a warning to interpret research conclusions cautiously.