The Impact of Partial-Year Enrollment on the Accuracy of Risk Adjustment Systems: A Framework and Evidence
Accurate risk adjustment facilitates healthcare 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 individual is observed for a shorter time. Due to missed diagnoses, risk adjustment systems will underpay for partial-year enrollees, as compared to 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%. 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.
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|Date of creation:||Sep 2017|
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- Michael Geruso & Timothy J. Layton & Daniel Prinz, 2016. "Screening in Contract Design: Evidence from the ACA Health Insurance Exchanges," NBER Working Papers 22832, National Bureau of Economic Research, Inc.
- Aviva Aron-Dine & Liran Einav & Amy Finkelstein & Mark Cullen, 2015. "Moral Hazard in Health Insurance: Do Dynamic Incentives Matter?," The Review of Economics and Statistics, MIT Press, vol. 97(4), pages 725-741, October.
- Jason Brown & Mark Duggan & Ilyana Kuziemko & William Woolston, 2014. "How Does Risk Selection Respond to Risk Adjustment? New Evidence from the Medicare Advantage Program," American Economic Review, American Economic Association, vol. 104(10), pages 3335-3364, October.
- Buchner, Florian & Goepffarth, Dirk & Wasem, Juergen, 2013. "The new risk adjustment formula in Germany: Implementation and first experiences," Health Policy, Elsevier, vol. 109(3), pages 253-262.
- Jing Chen & Randall P. Ellis & Katherine H. Toro & Arlene S. Ash, 2015. "Mispricing in Medicare Advantage Risk Adjustment," Boston University - Department of Economics - Working Papers Series wp2015-020, Boston University - Department of Economics.
- Thomas G. McGuire & Jacob Glazer, 2000. "Optimal Risk Adjustment in Markets with Adverse Selection: An Application to Managed Care," American Economic Review, American Economic Association, vol. 90(4), pages 1055-1071, September.
- Keith M. Marzilli Ericson & Amanda Starc, 2015.
"Pricing Regulation and Imperfect Competition on the Massachusetts Health Insurance Exchange,"
The Review of Economics and Statistics,
MIT Press, vol. 97(3), pages 667-682, July.
- Keith M. Marzilli Ericson & Amanda Starc, 2012. "Pricing Regulation and Imperfect Competition on the Massachusetts Health Insurance Exchange," NBER Working Papers 18089, National Bureau of Economic Research, Inc.
- Geruso, Michael & McGuire, Thomas G., 2016. "Tradeoffs in the design of health plan payment systems: Fit, power and balance," Journal of Health Economics, Elsevier, vol. 47(C), pages 1-19.
- Michael Geruso & Thomas G. McGuire, 2014. "Tradeoffs in the Design of Health Plan Payment Systems: Fit, Power and Balance," NBER Working Papers 20359, National Bureau of Economic Research, Inc.
- Michael Geruso & Timothy Layton, 2015. "Upcoding: Evidence from Medicare on Squishy Risk Adjustment," NBER Working Papers 21222, National Bureau of Economic Research, Inc.
- Colleen Carey, 2017. "Technological Change and Risk Adjustment: Benefit Design Incentives in Medicare Part D," American Economic Journal: Economic Policy, American Economic Association, vol. 9(1), pages 38-73, February.
- McGuire, Thomas G. & Newhouse, Joseph P. & Normand, Sharon-Lise & Shi, Julie & Zuvekas, Samuel, 2014. "Assessing incentives for service-level selection in private health insurance exchanges," Journal of Health Economics, Elsevier, vol. 35(C), pages 47-63.
- Randall D. Cebul & James B. Rebitzer & Lowell J. Taylor & Mark E. Votruba, 2008. "Organizational Fragmentation and Care Quality in the U.S. Healthcare System," Journal of Economic Perspectives, American Economic Association, vol. 22(4), pages 93-113, Fall.
- Randall D. Cebul & James B. Rebitzer & Lowell J. Taylor & Mark Votruba, 2008. "Organizational Fragmentation and Care Quality in the U.S. Health Care System," NBER Working Papers 14212, National Bureau of Economic Research, Inc.
- Timothy Layton & Alice K. Ndikumana & Mark Shepard, 2017. "Health Plan Payment in Medicaid Managed Care: A Hybrid Model of Regulated Competition," NBER Working Papers 23518, National Bureau of Economic Research, Inc. Full references (including those not matched with items on IDEAS)
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