The impact of marital status on health care utilization among Medicare beneficiaries

Medicine (Baltimore). 2019 Mar;98(12):e14871. doi: 10.1097/MD.0000000000014871.

Abstract

To explain prior literature showing that married Medicare beneficiaries achieve better health outcomes at half the per person cost of single beneficiaries, we examined different patterns of healthcare utilization as a potential driver.Using the Medicare Current Beneficiary Survey (MCBS) data, we sought to understand utilization patterns in married versus currently-not-married Medicare beneficiaries. We analyzed the relationship between marital status and healthcare utilization (classified based on setting of care utilization into outpatient, inpatient, and skilled nursing facility (SNF) use) using logistic regression modeling. We specified models to control for possible confounders based on the Andersen model of healthcare utilization.Based on 13,942 respondents in the MCBS dataset, 12,929 had complete data, thus forming the analytic sample, of whom 6473 (50.3%) were married. Of these, 58% (vs. 36% of those currently-not-married) were male, 45% (vs. 47%) were age >75, 24% (vs. 70%) had a household income below $25,000, 18% (vs. 14%) had excellent self-reported general health, and 56% (vs. 36%) had private insurance. Compared to unmarried respondents, married respondents had a trend toward higher odds of having a recent outpatient visit (unadjusted odds ratio (OR) 1.11, 95% confidence interval (CI) 1.04-1.19, adjusted odds ratio (AOR) 1.10, (CI) 0.99-1.22), and lower odds in the year prior to have had an inpatient stay (AOR 0.84, CI 0.72-0.99) or a SNF stay (AOR 0.55, CI 0.40-0.75).Based on MCBS data, odds of self-reported inpatient and SNF use were lower among married respondents, while unadjusted odds of outpatient use were higher, compared to currently-not-married beneficiaries.

Publication types

  • Observational Study

MeSH terms

  • Aged
  • Aged, 80 and over
  • Female
  • Humans
  • Logistic Models
  • Male
  • Marital Status / statistics & numerical data*
  • Medicare / statistics & numerical data*
  • Mobility Limitation
  • Odds Ratio
  • Patient Acceptance of Health Care / statistics & numerical data*
  • Socioeconomic Factors
  • United States