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Related Experiment Videos

Methods for analyzing referral patterns.

M E Cowen1, M W Zodet

  • 1St. Joseph Mercy Hospital, Ann Arbor, Mich., USA.

Journal of General Internal Medicine
|September 22, 1999
PubMed
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A new method identifies patient and physician factors influencing specialty referrals. Physician age, experience, and satisfaction, along with patient diagnoses, impact referral likelihood.

Area of Science:

  • Health Services Research
  • Medical Economics
  • Clinical Decision Making

Background:

  • Specialty referrals are crucial for patient care but can be influenced by various factors.
  • Understanding these factors is essential for optimizing healthcare resource allocation and patient outcomes.
  • Previous methods for identifying referral drivers have limitations in scope and accessibility.

Purpose of the Study:

  • To develop and validate a robust methodology for identifying patient and physician characteristics that influence specialty referrals.
  • To provide a framework for healthcare organizations to analyze and understand their referral patterns.

Main Methods:

  • Retrospective analysis of medical claims data from 1996.
  • Supplemented claims data with surveys of primary care physicians within a large independent practice association.

Related Experiment Videos

  • Examined five patient cohorts (2,000-6,000 each) with conditions requiring referral to cardiology, ophthalmology, pulmonology, orthopedics, or general surgery.
  • Main Results:

    • Referral rates across cohorts varied from 1% to 7%.
    • Multivariate logistic models demonstrated good discriminatory ability (c-statistic 0.66–0.79).
    • Key predictors of referral included patient diagnoses/medications and referring physician's age, years in practice, specialty satisfaction, and diagnostic certainty.

    Conclusions:

    • The developed methodology is practical and effective for identifying referral drivers.
    • The findings offer credible insights into factors influencing specialty referrals.
    • This approach is recommended for adoption by other healthcare organizations to improve referral management.