Skip to main content
. 2019 May 17;2(5):e193831. doi: 10.1001/jamanetworkopen.2019.3831

Table 3. Association Between No Insurance on Catastrophic Health Spending, Distress Financing, or Both From 2114 ACS QUIK Respondents Who Completed Microeconomic Surveys.

Model Catastrophic Health Spending Distress Financing Catastrophic Health Spending or Distress Financinga
Respondents, No./Total No. RR (95% CI) Respondents, No./Total No. RR (95% CI) Respondents, No./Total No. RR (95% CI)
No Cluster Effect Study Effectb No Cluster Effect Study Effect No Cluster Effect Study Effect
Unadjustedc 644/1196 1.45 (1.25-1.70) 1.22 (1.03-1.43) 171/2114 3.11 (1.88-5.16) 2.80 (1.50-5.22) 772/1311 1.48 (1.28-1.70) 1.23 (1.06-1.43)
Adjusted
Model 1d 644/1196 1.49 (1.28-1.74) 1.24 (1.07-1.43) 171/2114 3.14 (1.89-5.21) 2.87 (1.49-5.54) 772/1311 1.50 (1.31-1.73) 1.25 (1.09-1.44)
Model 2e 644/1196 1.49 (1.28-1.73) NDf 170/2112 3.36 (1.99-5.67) 3.05 (1.45-6.44) 771/1310 1.51 (1.31-1.74) 1.23 (1.11-1.36)

Abbreviations: ACS QUIK, Acute Coronary Syndrome Quality Improvement in Kerala; ND, not determinable; RR, risk ratio.

a

Among 918 participants who were missing information to calculate catastrophic health spending, 115 provided a response for distress financing.

b

Study-level effects included ACS QUIK intervention and a random effect for hospital cluster.

c

Unadjusted model reference is insurance.

d

Adjusted model 1 is further adjusted for Global Registry of Acute Coronary Events risk score variables (age, sex, ST-segment elevation myocardial infarction or non–ST-segment elevation myocardial infarction status, systolic blood pressure, and heart rate). In-hospital heart failure, cardiogenic shock, and cardiac arrest were not included owing to collinearity and a small number of events.

e

Adjusted model 2 is further adjusted for baseline household income.

f

Binomial regression model did not converge.