Research Article

Cost-Effectiveness of Oral Antidiabetic Drugs: A Prospective Multicenter Study of Real-World Patients

Table 10

Baseline characteristics weighted by the inverse propensity score.

MetforminXiaoke PillOther TCMsGlimepirideAcarboseXiaoke Pill + othersOthersANOVA: + value

60 > age ≥ 500.220.230.180.290.200.300.230.83
70 > age ≥ 600.330.290.270.190.350.290.340.17
Age ≥ 700.320.350.450.380.290.290.280.44
Male0.420.450.500.440.510.440.430.92
Lower secondary education0.340.300.340.290.410.370.350.75
Upper secondary education0.240.270.260.400.270.230.230.80
Tertiary education0.110.140.200.080.110.120.140.50
Shenyang0.240.240.200.220.240.240.240.98
Chengdu0.240.180.130.200.190.190.210.59
Nanjing0.190.230.300.140.230.230.190.61
Guangzhou0.180.210.220.130.140.160.200.55
2000 > income ≥ 10000.430.440.420.470.400.340.390.81
Income ≥ 20000.310.330.350.320.380.360.360.96
UEBMI0.620.650.670.630.700.560.650.78
NRCM0.110.080.120.090.050.140.100.80
Govern. insur.0.060.040.030.030.040.040.050.88
Currently smoking0.190.210.180.130.220.240.190.72
Currently drinking0.200.300.290.370.240.310.250.43
Any physical exercise0.760.810.910.790.820.790.790.01
Diet control0.890.870.950.810.870.930.900.17
10 > duration ≥ 50.290.310.290.170.220.240.260.35
Duration ≥ 100.270.260.130.320.210.350.250.04
Heart disease0.230.190.210.340.190.240.200.85
Hypertension0.470.540.490.330.600.470.490.14
Dyslipidemia0.200.220.170.120.240.210.200.54
Stroke0.060.080.050.040.060.050.080.58
Baseline BMI0.570.590.560.430.650.610.570.50
Baseline HbA1c0.370.350.260.390.380.360.400.61
Baseline FBS0.430.440.530.520.500.410.450.84
Baseline hypoglycemia0.130.090.120.080.130.170.110.74
Baseline SBP0.410.430.480.520.470.410.420.88
Baseline DBP0.240.330.220.370.280.200.280.36
Baseline TC0.380.440.400.490.320.440.390.63
Baseline TG0.390.470.380.470.430.420.420.90
Baseline HRQoL0.450.490.420.410.470.510.490.92

Note: observations are weighted by inverse propensity scores calculated from multinomial logistic regressions with regressors including demographic factors such as age and sex, socioeconomic factors such as education, household income, type of medical insurance, and city of residence, diabetes-related morbidities such as AMI, hypertension, dyslipidemia, and stroke, duration of diabetes, behavior factors such as alcohol use, smoking, physical exercise, and diet control, anthropometric and physiological indicators such as BMI, blood glucose level, HbA1c, blood pressure, TCH, TG, and HRQoL measured as EQ-5D score. The last column includes significant levels derived from ANOVA tests regarding the variable difference between treatment plans.