TABLE 2

Summary of Multivariable Regression Models Estimating Association Between C5 Care Coordination Program Enrollment and Study Outcomes in 2018

Study OutcomeC5 Program Participation
IRRaCoefficientb95% CIP
Hospitalizations in 20180.410.23 to 0.75.004
ED visits in 20181.180.61 to 2.27.622
All revisits in 20180.670.44 to 1.01.054
Total cost of care in 2018, log $−1.18−2.84 to 0.47.160
  • All models control for patient age, sex, race and/or ethnicity, insurance coverage, comorbidities, surgical history, and number of hospitalizations or ED visits in 2017. Detailed model results are shown in Supplemental Tables 3 through 6. —, not applicable.

  • a IRR represents how a 1-unit change in the independent variable is associated with change in the count of acute care visits. For example, IRR = 1.5 implies a 50% increase in the number of visits for a 1-unit increase in the independent variable.

  • b Coefficients represent how a 1-unit change in the independent variable is associated with change in log-transformed total costs of care in 2018. For example, a coefficient of 0.5 implies an increase of (exp[0.5]−1) × 100 = 65% in the cost of care for a 1-unit increase in the independent variable.