Ontology highlight
ABSTRACT: Background
High-deductible health plans (HDHPs) are of high interest to employers, policy makers, and insurers because of potential benefits and risks of this fundamentally new coverage model.Objective
To investigate the impact of HDHPs on health care utilization and costs in a heterogeneous group of enrollees from a variety of individual and employer-based health plans.Data
Claims and member data from a major insurer and zip code-level census data.Study design
Retrospective difference-in-differences analyses were used to examine the impact of HDHP plans. This analytical approach compared changes in utilization and expenditures over time (2007 versus 2005) across the two comparison groups (HDHP switchers versus matched PPO controls).Results
In two-part models, HDHP enrollment was associated with reduced emergency room use, increases in prescription medication use, and no change in overall outpatient expenditures. The impact of HDHPs on utilization differed by subgroup. Chronically ill enrollees and those who clearly had a choice of plans were more likely to increase utilization in specific categories after switching to an HDHP plan.Conclusions
Whether HDHPs are associated with lower costs is far from settled. Various subgroups of enrollees may choose HDHPs for different reasons and react differently to plan incentives.
SUBMITTER: Waters TM
PROVIDER: S-EPMC3034267 | biostudies-literature | 2011 Feb
REPOSITORIES: biostudies-literature
Waters Teresa M TM Chang Cyril F CF Cecil William T WT Kasteridis Panagiotis P Mirvis David D
Health services research 20101028 1 Pt 1
<h4>Background</h4>High-deductible health plans (HDHPs) are of high interest to employers, policy makers, and insurers because of potential benefits and risks of this fundamentally new coverage model.<h4>Objective</h4>To investigate the impact of HDHPs on health care utilization and costs in a heterogeneous group of enrollees from a variety of individual and employer-based health plans.<h4>Data</h4>Claims and member data from a major insurer and zip code-level census data.<h4>Study design</h4>Re ...[more]