The effect of complementary and alternative medicine claims on risk adjustment.
OBJECTIVE
We sought to assess how the inclusion of claims from complementary and alternative medicine (CAM) providers affects measures of morbidity burden and expectations of health care resource use for insured patients.


METHODS
Claims data from Washington State were used to create 2 versions of a case-mix index. One version included claims from all provider types; the second version omitted claims from CAM providers who are covered under commercial insurance. Expected resource use was also calculated. The distribution of expected and actual resource use was then compared for the 2 indices.


RESULTS
Inclusion of claims from CAM providers shifted 19,650 (32%) CAM users into higher morbidity categories. When morbidity categories were defined using claims from all providers, CAM users in the highest morbidity category had average (+/-SD) annual expenditures of $6661 (+/-$13,863). This was less than those in the highest morbidity category when CAM provider claims were not included in the index ($8562 +/- $16,354), and was also lower than the highest morbidity patients who did not use any CAM services ($8419 +/- $18,885).


CONCLUSIONS
Inclusion of services from CAM providers under third-party payment increases risk scores for their patients but expectations of costs for this group are lower than expected had costs been estimated based only on services from traditional providers. Risk adjustment indices may need recalibration when adding services from provider groups not included in the development of the index.
Lind
Bonnie K
BK
Department of Nursing, Boise State University, Boise, Idaho 83725-1840, USA. bonnielind@boisestate.edu
Abrams
Chad
C
Lafferty
William E
WE
Diehr
Paula K
PK
Grembowski
David E
DE
D000293:Adolescent; D000328:Adult; D000529:Complementary Therapies / Q000191:economics*; D005260:Female; D005102:Health Expenditures / Q000706:statistics & numerical data; D006801:Humans; D007345:Insurance Claim Review / Q000191:economics* / Q000706:statistics & numerical data*; D007349:Insurance, Health, Reimbursement / Q000191:economics / Q000706:statistics & numerical data; D008297:Male; D008875:Middle Aged; D020379:Risk Adjustment / Q000191:economics* / Q000706:statistics & numerical data*; D014861:Washington