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. 2019 Apr 17;16(8):1385. doi: 10.3390/ijerph16081385

Table A1.

Segmented autoregressive integrated moving average analysis of medical expenditure of respiratory disease.

Total Medical Expenditure
(Million CNY)
Discharge Number Expenditure per Capita
(Thousand CNY)
β a SE b p Value β a SE b p Value β a SE b p Value
Baseline trend c 2.40 *** 0.44 0.000 187.87 56.23 0.001 −0.01 0.03 0.803
Level change 1 d −19.83 ** 5.77 0.001 −1933.02 716.52 0.007 −0.05 0.30 0.867
Trend change 1 e −1.07 * 0.45 0.017 −67.09 54.51 0.218 0.02 0.02 0.405
Level change 2 f −14.31 ** 5.24 0.006 −1798.85 565.95 0.001 0.05 0.20 0.800
Trend change 2 g 0.17 0.46 0.711 13.97 50.94 0.784 −0.02 0.02 0.240
Gender (Male, %) −252.26 136.86 0.065 −38,323.15 15,388.11 0.013 −6.12 5.31 0.249
Age (>65, %) 197.38 *** 63.37 0.002 20,786.77 7752.75 0.007 −2.51 2.89 0.386
second quarter −7.19 4.07 0.077 −470.57 478.06 0.325 −0.12 0.17 0.479
third quarter −9.90 * 4.45 0.026 −645.27 581.55 0.267 −0.20 0.23 0.373
fourth quarter −10.63 5.48 0.053 −889.35 669.29 0.184 −0.03 0.19 0.890
Cons 91.55 97.16 0.346 17,301.38 10,469.47 0.198 5.40 4.05 0.182
AR1 −0.10 0.14 0.475 −0.13 0.17 0.444 −0.59 *** 0.15 0.000
AR2 −0.68 *** 0.12 0.000 −0.65 0.12 0.000 −0.56 ** 0.19 0.004
Ljung−Box Q 10.73 / 0.979 15.23 / 0.852 12.58 / 0.923

a Coefficient of each variety; b Standard error of each variety; c Baseline time trend of dependent variable; d, e, f, g Instant change and time trend change of GBPS pilot and implemented.