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Table 2 Difference analysis in quality of NBS programmes of participating institution

From: Up-to-date quality survey and evaluation of neonatal screening programs in China

2A. analysis of differences in organizational management

Variables

Number of hospitals

Median (IQR)

Shapiro-Wilk test

P value

Testing methods

P

Hospital level

     

 Level III Class A

26

94(89.25 ~ 95.75)

< 0.001

Mann-Whitney

U test

0.081

 Others

19

89(84 ~ 94.5)

0.010

Economic situation (per capita GDP of each province in 2021)

  

 > 15,000 USD

11

95(79 ~ 95.5)

< 0.001

Kruskal-Wallis rank sum test

0.092

 10,000 ~ 15,000 USD

18

95(89.25 ~ 96.25)

0.008

 < 10,000 USD

16

89(87.5 ~ 92.25)

0.015

Department category

    

 NBS center

11

95(79 ~ 95.5)

0.080

Kruskal-Wallis rank sum test

0.890

 Clinical Laboratory

18

94(89.25 ~ 95)

< 0.001

 Others

13

92(89 ~ 95)

< 0.001

Number of staff in the department

    

 < 10

11

86(74 ~ 90.5)

0.166

Mann-Whitney

U test

0.014

 > 10

34

94(89 ~ 95.75)

< 0.001

Area difference

     

 Western China

16

92(89 ~ 94.25)

< 0.001

Kruskal-Wallis rank sum test

0.678

 Central &Northeast China

14

90(88 ~ 95)

0.471

 Eastern China

15

95(87 ~ 96)

0.002

2B. analysis of differences in quality control

Variables

Number of hospitals

Median (IQR)

Shapiro-Wilk test

P value

Testing methods

P

Hospital level

     

 Level III Class A

26

357.25(334.25 ~ 374.75)

0.007

Mann-Whitney

U test

0.132

 Others

19

334(326 ~ 363)

< 0.001

Economic situation (per capita GDP of each province in 2021)

  

 > 15,000 USD

11

364(333 ~ 376)

0.002

Kruskal-Wallis rank sum test

0.028

 10,000 ~ 15,000 USD

18

360(352.75 ~ 374.88)

0.329

 < 10,000 USD

16

333.5(322.5 ~ 341.75)

0.030

Department category

    

 NBS center

11

339.5(325 ~ 369.13)

0.118

Kruskal-Wallis rank sum test

0.414

 Clinical Laboratory

18

360(341.5 ~ 366.75)

0.165

 Others

13

334(323 ~ 371)

0.021

Number of staff in the department

    

 < 10

11

353(323 ~ 363)

0.165

Mann-Whitney

U test

0.484

 > 10

34

353.5(332.25 ~ 371.38)

0.011

Area difference

     

 Western China

16

334(329.25 ~ 360)

0.609

Kruskal-Wallis rank sum test

0.489

 Central &Northeast China

13

352(329 ~ 377)

0.031

 Eastern China

16

358(341 ~ 368)

< 0.001

2C. analysis of differences in performance differences of blood collection agencies

Variables

Number of hospitals

Median (IQR)

Shapiro-Wilk test

P value

Testing methods

P

Hospital level

     

 Level III Class

28

287.5(262.5 ~ 300)

< 0.001

Kruskal-Wallis rank sum test

0.177

 Level II Class

31

265(235.5 ~ 298.6)

0.119

 Others

18

287.5(259.25 ~ 299.5)

0.002

Department category

    

 Obstetrics

60

269.5(248.25 ~ 299.4)

< 0.001

Mann-Whitney

U test

0.030

 Others

17

297(281.35 ~ 300)

0.001

Number of staff in the department

    

 < 100

24

284.18(257 ~ 300)

0.002

Mann-Whitney

U test

0.861

 > 100

52

282.5(259.5 ~ 298.3)

< 0.001

  1. NBS Centers are grouped based on various criteria, and a differential analysis is conducted on the scores across these different groups. “Median (IQR)” represents the median and interquartile range of scores for each group. The “Shapiro-Wilk test P value” displays the p-value of the normality test. “Testing methods” refer to the methods used for assessing differences between groups. “P” denotes the p-value of the test for differences