Overuse and insurance plan type in a privately insured population

Am J Manag Care. 2018 Mar;24(3):140-146.

Abstract

Objectives: A substantial portion of healthcare spending is wasted on services that do not directly improve patient health and that cause harm in some cases. Features of health insurance coverage, including enrollment in high-deductible health plans (HDHPs) or health maintenance organizations (HMOs), may provide financial and nonfinancial mechanisms to potentially reduce overuse of low-value healthcare services.

Study design: Using 2009 to 2013 administrative data from 3 large commercial insurers, we examined patient characteristics and health insurance plan types associated with overuse of 6 healthcare services identified by the Choosing Wisely campaign.

Methods: We explored associations between overuse and patient characteristics using multivariate logistic regression models, including patient age, gender, enrollment in an HMO, enrollment in an HDHP, an indicator of primary care fragmentation, and number of outpatient visits as explanatory variables.

Results: Measurement of services highlighted as potential overuse by the Choosing Wisely recommendations revealed low to moderate prevalence, depending on the service. HMO coverage and enrollment in HDHPs were significantly associated with differences in prevalence of all 6 services, albeit differently in terms of the direction of the effects. Primary care fragmentation was significantly associated with higher rates of overuse.

Conclusions: Neither HDHPs nor HMO plans, with their closed networks and referral requirements, consistently reduced overuse, although HMO plans were never associated with higher rates of overuse. As policy makers seek levers for reducing low-value healthcare utilization, health insurance plan features may prove a valuable target, although the effect may be complicated by other factors.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Age Factors
  • Cross-Sectional Studies
  • Deductibles and Coinsurance / statistics & numerical data*
  • Female
  • Health Maintenance Organizations / trends*
  • Health Status
  • Humans
  • Insurance Claim Review
  • Logistic Models
  • Male
  • Medical Overuse / statistics & numerical data*
  • Middle Aged
  • Patient-Centered Care / statistics & numerical data
  • Sex Factors
  • Socioeconomic Factors
  • United States
  • Young Adult