Table 2

Incidence ratios (IRs) and 95% CIs for experiencing frequent outpatient attendance by individual and suppliers’ characteristics: results of crude and multiple Poisson regression

CrudeModel 1Model 2
IR95% CIIR95% CIIR95% CI
Age
 Under 65RefRefRef
 65 and over1.651.17 to 2.331.460.97 to 2.191.400.93 to 2.11
Sex
 FemaleRefRefRef
 Male0.880.64 to 1.230.900.65 to 1.260.980.70 to 1.37
Living alone
 NoRefRefRef
 Yes1.701.15 to 2.521.531.01 to 2.321.581.05 to 2.39
Working status
 YesRefRefRef
 No2.371.25 to 4.501.760.87 to 3.531.730.86 to 3.48
Nationality
 JapaneseRefRefRef
 Other1.360.56 to 3.271.690.70 to 4.071.740.72 to 4.20
Certified disorders
 Not certifiedRefRefRef
 Mental disorder1.180.69 to 2.011.140.64 to 2.021.140.64 to 2.04
 Physical disorder0.910.48 to 1.730.830.44 to 1.560.860.46 to 1.62
Long-term care status
 Not certifiedRefRefRef
 Support required1.300.58 to 2.911.140.50 to 2.611.020.45 to 2.35
 Care needs1.090.66 to 1.800.790.47 to 1.330.760.45 to 1.29
Municipality
 ARefRefRef
 B2.842.05 to 3.942.711.95 to 3.772.681.91 to 3.74
Frequently visited medical facilities
 Medical corporationsRefRef
 National institutes0.250.04 to 1.790.340.05 to 2.45
 Public or pRefectural sectors0.890.33 to 2.400.640.23 to 1.74
 Hospitals/ clinics in the social insurance groups0.570.18 to 1.810.840.26 to 2.68
 Private-run hospitals/clinics1.631.13 to 2.351.741.20 to 2.52
 Other0.970.55 to 1.710.990.56 to 1.73
  • A total of 6016 recipients were included, 139 (2.3%) were engaged in frequent outpatient attendance. The pseudo R square was 0.041 in model 1 and 0.050 in model 2. In model 1, we used all individual variables: age, sex, living alone or not,working status, nationality, disabilities, long-term care status and municipality. In model 2, we examined the effect of both individual factors and supplier factors.