Sarah H Gordon1, Benjamin D Sommers2, Ira B Wilson1, Omar Galarraga1, Amal N Trivedi1. 1. Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI. 2. Department of Health Policy and Management, Harvard T. H. Chan School of Public Health, Boston, MA.
Abstract
BACKGROUND: Midyear disenrollment from Marketplace coverage may have detrimental effects on continuity of care and risk pool stability of individual health insurance markets. OBJECTIVE: The main objective of this study was to assess associations between insurance plan characteristics, individual and area-level demographics, and disenrollment from Marketplace coverage. DATA: All payer claims data from individual market enrollees, 2014-2016. STUDY DESIGN: We estimated Cox proportional hazards models to assess the relationship between plan actuarial value and Marketplace enrollment. The primary outcome was disenrollment from Marketplace coverage before the end of the year. We also calculated the proportion of enrollees who transitioned to other coverage after leaving the Marketplace, and identified demographic and area-level factors associated with early disenrollment. Finally, we compared monthly utilization rates between those who disenrolled early and those who maintained coverage. RESULTS: Nearly 1 in 4 Marketplace beneficiaries disenrolled midyear. The hazard rate of disenrollment was 30% lower for individuals in plans receiving cost-sharing reductions and 21% lower for those enrolled in gold plans, compared with silver plans without cost-sharing subsidies. Young adults had a 70% increased hazard of disenrollment compared with older adults. Those who disenrolled midyear had greater hospital and emergency department utilization before disenrollment compared with those who maintained continuous coverage. CONCLUSIONS: Plan generosity is significantly associated with lower disenrollment rates from Marketplace coverage. Reducing churning in Affordable Care Act Marketplaces may improve continuity of care and insurers' ability to accurately forecast the health care costs of their enrollees.
BACKGROUND: Midyear disenrollment from Marketplace coverage may have detrimental effects on continuity of care and risk pool stability of individual health insurance markets. OBJECTIVE: The main objective of this study was to assess associations between insurance plan characteristics, individual and area-level demographics, and disenrollment from Marketplace coverage. DATA: All payer claims data from individual market enrollees, 2014-2016. STUDY DESIGN: We estimated Cox proportional hazards models to assess the relationship between plan actuarial value and Marketplace enrollment. The primary outcome was disenrollment from Marketplace coverage before the end of the year. We also calculated the proportion of enrollees who transitioned to other coverage after leaving the Marketplace, and identified demographic and area-level factors associated with early disenrollment. Finally, we compared monthly utilization rates between those who disenrolled early and those who maintained coverage. RESULTS: Nearly 1 in 4 Marketplace beneficiaries disenrolled midyear. The hazard rate of disenrollment was 30% lower for individuals in plans receiving cost-sharing reductions and 21% lower for those enrolled in gold plans, compared with silver plans without cost-sharing subsidies. Young adults had a 70% increased hazard of disenrollment compared with older adults. Those who disenrolled midyear had greater hospital and emergency department utilization before disenrollment compared with those who maintained continuous coverage. CONCLUSIONS: Plan generosity is significantly associated with lower disenrollment rates from Marketplace coverage. Reducing churning in Affordable Care Act Marketplaces may improve continuity of care and insurers' ability to accurately forecast the health care costs of their enrollees.
Authors: Julia Raifman; Kristen Nocka; Omar Galárraga; Ira B Wilson; Christina Crowley; Jun Tao; Siena Napoleon; Theodore Marak; Philip A Chan Journal: Ann Epidemiol Date: 2020-03-26 Impact factor: 3.797
Authors: Mark Olfson; Melanie M Wall; Colleen L Barry; Christine Mauro; C Jean Choi; Ramin Mojtabai Journal: Psychiatr Serv Date: 2021-05-07 Impact factor: 4.157