The Impact of Partial-Year Enrollment on the Accuracy of Risk-Adjustment Systems: A Framework and Evidence

Keith Ericson, Kimberley H. Geissler and Benjamin Lubin
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Kimberley H. Geissler: University of Massachusetts School of Public Health and Health Sciences Author email: kgeissler@umass.edu
Benjamin Lubin: Boston University Questrom School of Business

American Journal of Health Economics, 2018, vol. 4, issue 4, 454-478

Abstract: Accurate risk adjustment facilitates health-care market competition. Risk adjustment typically aims to predict annual costs of individuals enrolled in an insurance plan for a full year. However, partial-year enrollment is common and poses a challenge to risk adjustment, since diagnoses are observed with lower probability when an individual is observed for a shorter time. Because of missed diagnoses, risk-adjustment systems will underpay for partial-year enrollees, as compared with full-year enrollees with similar underlying health status and usage patterns. We derive a new adjustment for partial-year enrollment in which payments are scaled up for partial-year enrollees’ observed diagnoses, which improves upon existing methods. We simulate the role of missed diagnoses using a sample of commercially insured individuals and the 2014 Marketplace risk-adjustment algorithm and find the expected spending of six-month enrollees is underpredicted by 19 percent. We then examine whether there are systematically different care usage patterns for partial-year enrollees in this data, which can offset or amplify underprediction due to missed diagnoses. Accounting for differential spending patterns of partial-year enrollees does not substantially change the underprediction for six-month enrollees. However, one-month enrollees use systematically less than one-twelfth the care of full-year enrollees, partially offsetting the missed-diagnosis effect.

Keywords: risk adjustment; insurance market competition; adverse selection; health-care markets; partial-year enrollment (search for similar items in EconPapers)
JEL-codes: I1 I13 I18 (search for similar items in EconPapers)
Date: 2018
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Related works:
Journal Article: The Impact of Partial-Year Enrollment on the Accuracy of Risk-Adjustment Systems: A Framework and Evidence (2018)
Working Paper: The Impact of Partial-Year Enrollment on the Accuracy of Risk Adjustment Systems: A Framework and Evidence (2017)
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Persistent link: https://EconPapers.repec.org/RePEc:ucp:amjhec:v:4:y:2018:i:4:p:454-478

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