Table 1.
Personal characteristics | Mean (SD) | Health status | Mean (SD) |
Being female | 0.484 (0.50) | ||
Patient’s age | 6.270 (4.93) | No. different diseases in a year | 2.095 (2.39) |
Immigrant status | 0.006 (0.08) | Charlson index | 0.018 (0.15) |
Minimum distance to GP | 4.020 (4.51) | Hypertension | 0.001 (0.03) |
Health district ABS01 | 0.105 (0.31) | Lipid & cholesterol problems | 0.006 (0.07) |
Health district ABS03 | 0.147 (0.35) | Children with any cardio problem | 0.006 (0.08) |
Health district ABS08 | 0.132 (0.34) | Stroke/cerebrovascular accident | 0.000 (0.01) |
Health district ABS09 | 0.181 (0.39) | Bronchial asthma & obstructive pulmonary | 0.070 (0.26) |
Health district ABS10 | 0.125 (0.33) | Children with any mental disorder | 0.002 (0.04) |
Health district ABS12 | 0.119 (0.32) | Malignant neoplasms | 0.002 (0.04) |
Health district ABS15 | 0.192 (0.39) | ||
Health-care use | Mean (SD) | Lifestyle behaviour | Mean (SD) |
Number of visits to GP | 6.954 (8.68) | ||
Number of visits to specialists | 0.394 (1.17) | ||
Number of hospitalized days | 0.003 (0.07) | Median BMI | 17.302 (3.22) |
Number of urgent visits | 0.087 (0.36) | Mean BMI | 17.417 (3.12) |
Number of laboratory tests | 0.117 (0.44) | Smoker | 0.000 (0.02) |
Number of radiology tests | 0.142 (0.49) | Alcoholism | 0.000 (0.01) |
Number of diagnostic tests | 0.021 (0.17) |
Average values and standard deviations in brackets are reported. Descriptive statistics are reported for the whole considered period. Time distances (in minutes) were computed accounting for children’s residence and GP or hospital location by means of geocode and traveltime commands in Stata
Table 1 shows the descriptive statistics for children in terms of the personal characteristics, health status, health-care use, and lifestyle behaviour