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Does payment drive procedures? Payment for specialty services and procedure rate variations in 3 HMOs
Barry G Saver1, Debra Pearson Ritzwoller, Michael Maciosek
1Department of Family Medicine, University of Washington, Seattle, Wash 98195-4696, USA. saver@u.washington.edu
The American Journal of Managed Care
|March 23, 2004
Summary
Physician payment methods influence invasive procedure rates. Fee-for-service plans showed higher rates compared to capitation or salary, highlighting the need for further study on payment impacts.
Area of Science:
- Health Services Research
- Medical Economics
- Healthcare Policy
Background:
- Physician payment models significantly influence healthcare delivery.
- Understanding the relationship between payment structures and procedural rates is crucial for cost and quality control.
Purpose of the Study:
- To investigate the impact of different payment methods on the performance of invasive procedures across various medical specialties.
- To analyze variations in procedure rates associated with fee-for-service, capitation, and salary payment models.
Main Methods:
- Observational study utilizing administrative data from three large health maintenance organizations (HMOs).
- Analysis of procedure rates for cardiology, gastroenterology, ophthalmology, orthopedic, and ENT services between 1996-1998.
- Age-, sex-, and comorbidity-adjusted comparison of procedure probabilities based on payment method within each HMO.
Main Results:
- Fee-for-service payment was associated with higher invasive procedure rates compared to capitation or salary.
- No consistent pattern was observed between salary and capitation payment methods.
- Procedure rate variations existed even within the same specialty and plan, depending on the specific procedure.
Conclusions:
- Payment methods for specialty services demonstrated a variable association with the likelihood of patients undergoing invasive procedures.
- Further research is needed to fully understand the effects of payment models on healthcare costs, quality, and outcomes.
- Health plan data systems present challenges for conducting such in-depth studies.