Table 4

Results of linear regression models for log-transformed expenses (mean change in Y per unit of X, 95% CI)

VariablesReferenceOutpatient expensesDrug expensesExamination expensesTreatment expensesOther expenses
Year2013−0.19 (−0.23 to −0.14)***−0.24 (−0.28 to −0.20)***−0.13 (−0.17 to −0.09)***−0.12 (−0.15 to −0.08)***−0.74 (−0.87 to −0.62)***
PilotWithout capitation−0.06 (−0.12 to −0.01)*0.11 (0.06 to 0.16)***0.48 (0.43 to 0.53)***−0.19 (−0.33 to −0.04)*
Pilot*yearException of ‘pilot*2014’0.52 (0.44 to 0.60)***0.32 (0.25 to 0.39)***0.17 (0.10 to 0.24)***0.17 (0.12 to 0.21)***0.50 (0.28 to 0.71)***
SexMale0.05 (0.02 to 0.09)**0.05 (0.02 to 0.08)**0.09 (0.05 to 0.12)***0.06 (0.03 to 0.09)***
Age−0.02 (−0.03 to −0.02)***
Types of medical insuranceUrban employees−0.77 (−0.87 to −0.67)***−0.76 (−0.85 to −0.67)***−0.61 (−0.71 to −0.51)***−0.57 (−0.65 to −0.50)***−1.17 (−1.44 to −0.90)***
Number of complications-0.04 (0.03 to 0.05)***−0.02 (−0.03 to −0.01)***0.11 (0.07 to 0.14)***
Secondary hospitalPrimary hospital0.60 (0.55 to 0.64)***0.28 (0.24 to 0.32)***−0.10 (−0.13 to −0.06)***0.16 (0.12 to 0.19)***1.25 (1.13 to 1.36)***
Tertiary hospitalPrimary hospital0.35 (0.32 to 0.38)***0.19 (0.16 to 0.22)***−0.37 (−0.40 to −0.34)***0.03 (0.00 to 0.05)*1.35 (1.27 to 1.44)***
  • *P<0.05; **P<0.01; ***P<0.001.