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Published on: August 28, 2018
Capitation for cardiologists: accepting risk for coronary artery disease under managed care
R L McNamara1, N R Powe, T Shaffer
1Department of Epidemiology, The Johns Hopkins Medical Institutions, Baltimore, Maryland, USA. rmcnamar@jhsph.edu
Insights
Using clinical factors like disease severity and comorbidity for capitation rates, unlike demographics, better reflects coronary artery disease patient costs. However, significant cost variations remain, posing financial risks for physicians in managed care plans.
Area of Science:
- Health Economics
- Medical Care Management
- Cardiology
Background:
- Capitated managed care plans may exclude patients with chronic diseases due to high costs.
- Risk adjustment techniques aim to create equitable capitation rates, including for coronary artery disease (CAD).
Purpose of the Study:
- To evaluate the impact of using clinical factors versus demographic factors for setting capitation rates for patients with coronary artery disease (CAD).
- To compare the effectiveness of demographic factors (age, gender) with clinical factors (ICD-9 codes for severity, Charlson index for comorbidity) in predicting healthcare expenditures for CAD patients.
Main Methods:
- Analysis of a 5% national random sample of the 1992 Medicare population.
- Comparison of mean annual expenditures for individuals with CAD using demographic factors versus clinical factors for risk adjustment.
Main Results:
- Mean annual expenditures for CAD patients were over double those of the general Medicare population ($6,944 vs $3,247).
- Demographic factors (age, gender) resulted in a narrow expenditure range ($6,205-$7,724) for CAD subgroups.
- Clinical factors (severity, comorbidity) identified wider expenditure ranges ($1,702-$19,959), better reflecting cost variations.
- Significant expenditure variation persisted within clinical subgroups, with a few patients incurring disproportionately high costs.
Conclusions:
- Demographic factors alone are insufficient for equitable capitation rate setting, potentially leading to risk selection and financial losses for physicians.
- Clinical measures improve risk adjustment but do not eliminate the financial risk to physicians due to high-cost outliers.
- Further strategies are needed to manage financial risks associated with high-expenditure patients in capitated care for chronic diseases like CAD.
Abstract:
Patients with chronic disease may be excluded from capitated managed care plans due to higher than average expected costs. In an attempt to remedy this inequity, one type of risk adjustment technique proposes to set separate capitation rates for certain chronic illnesses, including coronary artery disease (CAD). Cardiologists, who increasingly are requested to accept capitation, will benefit from understanding the impact of using clinical factors as opposed to using demographic factors to set capitation rates. Using a 5% national random sample of the 1992 Medicare population, we determined mean annual expenditures and variation in expenditures of individuals with CAD. We compared the use of 2 demographic factors currently used for capitation rate adjustment (age and gender) with 2 factors not currently used--3-digit International Classification of Disease (ICD-9) code (a measure for severity) and Charlson index (a measure for comorbidity). Mean annual expenditures for individuals with CAD were more than double mean annual expenditures for the general Medicare population ($6,944 vs $3,247). Among individuals with CAD, mean expenditures of subgroups defined by both age and gender ranged from $6,205 to $7,724. In comparison, stratifying by measures of severity and comorbidity identified subgroups with lower and higher mean expenditures, producing a range of $1,702 to $19,959. Substantial variation of expenditures for individuals within subgroups defined by severity and comorbidity remained, with few patients having substantially higher expenditures than the rest. When capitation rates are set with the use of demographic factors alone, patients may be subjected to risk selection and physicians to financial loss. Using clinical measures may decrease the incentive for patient risk selection, but substantial financial risk to physicians would remain, because of a relatively few patients with high expenditures (or costs).
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