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. Author manuscript; available in PMC: 2023 Sep 2.
Published in final edited form as: Circ Cardiovasc Qual Outcomes. 2022 Sep 2:101161CIRCOUTCOMES121008762. doi: 10.1161/CIRCOUTCOMES.121.008762

Table 3.

Association of Medicare Program Type with Affordability of Health Care Among Adults Age ≥65 Years with Cardiovascular Disease*

Medicare Advantage (%) Traditional Medicare (%) Unadjusted OR (95% CI) Adjusted OR (95% CI)
Financial strain due to medical bills
Have you had problems paying or were you unable to pay any medical bills within the last year? 16.5 11.6 1.51 (1.07, 2.13) 1.68 (1.17, 2.40)
Do you currently have any medical bills you are unable to pay? 9.9 7.4 1.38 (0.88, 2.19) 1.46 (0.91, 2.35)
If you get sick, are you worried you will not be able to pay your medical bills? 40.1 33.8 1.31 (1.02, 1.67) 1.37 (1.07, 1.76)
Have you delayed care due to cost within last year? 4.9 3.0 1.67 (0.94, 2.99) 1.48 (0.79, 2.75)
Have you avoided medical care due to cost within last year? 5.6 3.2 1.79 (1.04, 3.07) 1.70 (0.97, 2.98)
Cost-related barriers to prescription medication
Have you skipped medication to save money within the last year? § 4.4 4.0 1.12 (0.66, 1.90) 1.10 (0.62, 1.96)
Have you taken less of your medication to save money within the last year? § 5.0 4.8 1.05 (0.60, 1.83) 1.03 (0.58, 1.82)
Have you delayed filling a prescription medication to save money within the last year? § 6.9 4.3 1.65 (1.00, 2.7) 1.65 (0.98, 2.79)
Have you avoided filling a prescription medication due to cost within the last year? 7.7 5.4 1.45 (0.97, 2.17) 1.41 (0.91, 2.19)
*

Percentages represent proportion of respondents answering ‘yes’

For each outcome, responses of “Refused”, “Not ascertained”, or “Don’t know” were set to missing; adults with a missing response were excluded from the analysis of the respective outcome (<1% across all outcomes except for cholesterol [2.1%], blood sugar check [3.4%])

Among individuals who reported having problems paying or being unable to pay any medical bills within the last year

§

Among individuals taking prescription medications

Models were adjusted for age, gender, race/ethnicity, educational attainment, household income, urban-rural status, and US region