Literature DB >> 25360387

The HHS-HCC risk adjustment model for individual and small group markets under the Affordable Care Act.

John Kautter1, Gregory C Pope1, Melvin Ingber1, Sara Freeman1, Lindsey Patterson1, Michael Cohen1, Patricia Keenan2.   

Abstract

Beginning in 2014, individuals and small businesses are able to purchase private health insurance through competitive Marketplaces. The Affordable Care Act (ACA) provides for a program of risk adjustment in the individual and small group markets in 2014 as Marketplaces are implemented and new market reforms take effect. The purpose of risk adjustment is to lessen or eliminate the influence of risk selection on the premiums that plans charge. The risk adjustment methodology includes the risk adjustment model and the risk transfer formula. This article is the second of three in this issue of the Review that describe the Department of Health and Human Services (HHS) risk adjustment methodology and focuses on the risk adjustment model. In our first companion article, we discuss the key issues and choices in developing the methodology. In this article, we present the risk adjustment model, which is named the HHS-Hierarchical Condition Categories (HHS-HCC) risk adjustment model. We first summarize the HHS-HCC diagnostic classification, which is the key element of the risk adjustment model. Then the data and methods, results, and evaluation of the risk adjustment model are presented. Fifteen separate models are developed. For each age group (adult, child, and infant), a model is developed for each cost sharing level (platinum, gold, silver, and bronze metal levels, as well as catastrophic plans). Evaluation of the risk adjustment models shows good predictive accuracy, both for individuals and for groups. Lastly, this article provides examples of how the model output is used to calculate risk scores, which are an input into the risk transfer formula. Our third companion paper describes the risk transfer formula.

Entities:  

Keywords:  ACA; HHS-HCC model; affordable care act; health insurance marketplaces; hierarchical condition categories; plan liability; predict healthcare expenditures; risk adjustment; risk score

Mesh:

Year:  2014        PMID: 25360387      PMCID: PMC4214270          DOI: 10.5600/mmrr2014-004-03-a03

Source DB:  PubMed          Journal:  Medicare Medicaid Res Rev        ISSN: 2159-0354


  5 in total

1.  Risk adjustment and risk equalization: what needs to be done?

Authors:  Wynand P M M Van de Ven
Journal:  Health Econ Policy Law       Date:  2011-01

2.  Risk transfer formula for individual and small group markets under the Affordable Care Act.

Authors:  Gregory C Pope; Henry Bachofer; Andrew Pearlman; John Kautter; Elizabeth Hunter; Daniel Miller; Patricia Keenan
Journal:  Medicare Medicaid Res Rev       Date:  2014-09-05

3.  Improvements in Medicare Part D risk adjustment: beneficiary access and payment accuracy.

Authors:  John Kautter; Melvin Ingber; Gregory C Pope; Sara Freeman
Journal:  Med Care       Date:  2012-12       Impact factor: 2.983

4.  Patient Protection and Affordable Care Act; HHS notice of benefit and payment parameters for 2015. Final rule.

Authors: 
Journal:  Fed Regist       Date:  2014-03-11

5.  Risk adjustment of Medicare capitation payments using the CMS-HCC model.

Authors:  Gregory C Pope; John Kautter; Randall P Ellis; Arlene S Ash; John Z Ayanian; Lisa I Lezzoni; Melvin J Ingber; Jesse M Levy; John Robst
Journal:  Health Care Financ Rev       Date:  2004
  5 in total
  41 in total

1.  Healthcare Costs and Utilization for Patients Age 50 to 64 Years with Acute Myeloid Leukemia Treated with Chemotherapy or with Chemotherapy and Allogeneic Hematopoietic Cell Transplantation.

Authors:  Jaime M Preussler; Christa L Meyer; Lih-Wen Mau; Navneet S Majhail; Ellen M Denzen; Kristen C Edsall; Stephanie H Farnia; Wael Saber; Linda J Burns; David J Vanness
Journal:  Biol Blood Marrow Transplant       Date:  2017-03-02       Impact factor: 5.742

2.  Affordable Care Act risk adjustment: overview, context, and challenges.

Authors:  John Kautter; Gregory C Pope; Patricia Keenan
Journal:  Medicare Medicaid Res Rev       Date:  2014-09-05

3.  Risk transfer formula for individual and small group markets under the Affordable Care Act.

Authors:  Gregory C Pope; Henry Bachofer; Andrew Pearlman; John Kautter; Elizabeth Hunter; Daniel Miller; Patricia Keenan
Journal:  Medicare Medicaid Res Rev       Date:  2014-09-05

4.  Spatial risk adjustment between health insurances: using GWR in risk adjustment models to conserve incentives for service optimisation and reduce MAUP.

Authors:  Danny Wende
Journal:  Eur J Health Econ       Date:  2019-06-13

5.  Homelessness and Medicaid Churn.

Authors:  Isaac Dapkins; Saul B Blecker
Journal:  Ethn Dis       Date:  2021-01-21       Impact factor: 1.847

6.  Adverse Selection into and within the Individual Health Insurance Market in California in 2014.

Authors:  Vicki Fung; Cassandra G K Peitzman; Julie Shi; Catherine Y Liang; William H Dow; Alan M Zaslavsky; Bruce H Fireman; Stephen F Derose; Michael E Chernew; Joseph P Newhouse; John Hsu
Journal:  Health Serv Res       Date:  2018-05-17       Impact factor: 3.402

7.  Sample Selection for Medicare Risk Adjustment Due to Systematically Missing Data.

Authors:  Savannah L Bergquist; Thomas G McGuire; Timothy J Layton; Sherri Rose
Journal:  Health Serv Res       Date:  2018-09-11       Impact factor: 3.402

8.  Deriving risk adjustment payment weights to maximize efficiency of health insurance markets.

Authors:  Timothy J Layton; Thomas G McGuire; Richard C van Kleef
Journal:  J Health Econ       Date:  2018-07-23       Impact factor: 3.883

9.  A Machine Learning Framework for Plan Payment Risk Adjustment.

Authors:  Sherri Rose
Journal:  Health Serv Res       Date:  2016-02-19       Impact factor: 3.402

10.  Robust Machine Learning Variable Importance Analyses of Medical Conditions for Health Care Spending.

Authors:  Sherri Rose
Journal:  Health Serv Res       Date:  2018-03-11       Impact factor: 3.402

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.