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. 2013 Apr 5;48(5):1730–1749. doi: 10.1111/1475-6773.12060

Table 3.

Estimated Impacts on Service Use during Year 1 and 2 Following Study Enrollment: Matched Predicted Probability of Participation in Managed Care

95% Confidence Limits

Outcomes Intervention Group Control Group Odds Ratio Lower Upper
Any use of health care, months 1–12
 Had a primary care physician visit (PCP) 65.91 65.10 1.05 0.88 1.26
 Had a nonphysician visit 16.77 13.19 1.38 1.12 1.72**
 Had a specialist visit 61.45 60.28 1.07 0.90 1.27
 Ever admitted to a hospital 16.73 14.99 1.17 0.95 1.45
 Readmitted within 30 days 3.70 3.04 1.28 0.82 1.99
 Ever used an emergency department (ED) 42.74 40.64 1.12 0.95 1.32
Any use of health care, months 13–24
 Had a PCP visit 62.30 60.90 1.08 0.92 1.28
 Had a nonphysician visit 14.30 11.84 1.28 1.02 1.60*
 Had a specialist visit 56.13 54.69 1.08 0.92 1.26
 Ever admitted to a hospital 13.09 13.70 0.94 0.76 1.17
 Readmitted within 30 days 2.62 2.12 1.27 0.76 2.13
 Ever used an ED 39.99 37.57 1.13 0.96 1.32
Negative Binomial Model Predicting Number of Visits

Outcomes Intervention Group Control Group Estimate SE p-value
Average number of visits for health care services, months 1–12
 PCP visits 4.39 4.41 −0.13 0.15 .40
 Nonphysician visits 0.58 0.50 −1.33 0.32 <0.001***
 Specialist visits 6.91 6.10 −0.09 0.18 .61
 Hospital admissions 0.30 0.23 −0.06 0.28 .83
 Inpatient days 1.82 1.50 −0.18 0.12 .12
 Emergency department visits 1.42 1.32 0.20 0.20 .32
Average number of visits for health care services, months 13–24
 PCP visits 4.11 4.34 −0.17 0.14 .22
 Nonphysician visits 0.45 0.46 −0.89 0.24 <0.001***
 Specialist visits 5.80 5.78 −0.16 0.16 .31
 Hospital admissions 0.23 0.22 0.31 0.43 .48
 Inpatient days 1.40 1.49 0.07 0.12 .52
 Emergency department visits 1.25 1.12 0.002 0.33 .99
Sample size (total = 3,722) 2,602 1,120

Notes. *significant at p ≤ .05; **significant at p ≤ .01; ***significant at p ≤ .001.

Probabilities percentages and odds ratio from logistic regression models adjusted for age, gender, county of residence, medical conditions, and prior health care use.

Number of visits for intervention and control group calculated from linear regression and negative binomial estimates from zero-inflated negative binomial models; both models adjusted for age, gender, county of residence, medical conditions, and prior health care use.