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Table 3 Segmented regression coefficients for antidiabetics in outpatients by the price cut

From: Effects of a price cut reform on the cost and utilization of antidiabetic drugs in Korea: a national health insurance database study

Outcome variable Policy group Model Coefficient DW
Baseline Outpatient Prescription Incentive Program (OPIP) Price cut (SPS) February AR(1)
ß 0 ß 1 ß 2 ß 3 ß 4 ß 5 ß 6
Costs (billion KRW) Overall AR 29.982§ 0.295§ −0.984# − 0.136 − 4.384§ 0.192 −2.643§ 0.282# 1.98
Reduced AR 23.738§ 0.065 1.357§ −0.185§ −4.809§ − 0.023 − 1.858§ 0.277# 2.06
Constant AR 6.240§ 0.229§ −2.264§ 0.049 0.384 0.211§ −0.856§ − 0.080 1.80
Utiliz-ation DDDs (million) Overall AR 79.447§ 0.463§ −0.556 − 0.023 −1.058 − 0.114 −6.344§ 0.338* 2.12
Reduced AR 70.638§ 0.161 1.321 −0.119 −1.442 − 0.340 −5.002§ 0.333* 2.14
Constant OLS 8.794§ 0.301§ −1.792§ 0.094* 0.426 0.220§ −1.370§ 1.99
Number of patients Overall OLS 1,408,058§ 11,758§ − 47643* 1698 17,535 − 2504 −89,533§ 1.95
Reduced OLS 1,129,486§ 4909§ − 6604 532 7296 −7523§ −64,306§ 2.07
Constant AR 278,489§ 6820§ −39,690§ 1207 8751 4989§ −26,186§ −0.168 1.79
Costs per patient (KRW) Overall OLS 43,492§ 160§ − 2149§ − 163§ −3380§ 107* − 1063§ 1.86
Reduced OLS 20,992§ −30 1123§ −145§ −3670§ 81§ − 550§ 1.96
Constant AR 22,455§ 183§ − 2800§ −27 233 43 − 499 −0.485 2.12
DDDs per patient Overall AR 94.160§ 0.095# 0.317 −0.083 −1.564 − 0.010 −2.610* 0.224 2.12
Reduced AR 62.535§ −0.120§ 1.330 −0.090* −1.416 0.056 −1.384§ 0.135 2.04
Constant OLS 31.594§ 0.215§ −0.934 −0.0004 0.005 −0.068 −1.123# 2.08
  1. ß 0  = coefficients for the baseline levels of the outcome variables; ß 1  = coefficients for the changes in the outcome variables before the OPIP, i.e. the baseline trends; ß 2  = coefficients for the level changes in the outcome variables after the OPIP; ß 3  = coefficients for the changes in the trend of the outcome variables after the OPIP; ß 4  = coefficients for the level changes in the outcome variables after the SPS; ß 5  = coefficients for the changes in the trend of the outcome variables after the SPS; and ß 6  = coefficients for Feb variables
  2. OLS ordinary least squares estimates, AR 1st order Autocorrelation Maximum likelihood estimates, DW Durbin-Watson d statistic, KRW Korean won (1000 KRW 1 US$ in January 2015), DDD defined daily dose
  3. # p < 0.1; * p < 0.05; p < 0.01; § p < 0.001