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Table 6 The impact of opt-out consent on organ transplant rates (pmp), 2000-2012

From: An international comparison of deceased and living organ donation/transplant rates in opt-in and opt-out systems: a panel study

 

Grand mean (NT, observed)

Opt-in consent

Opt-out consent

       

Organs & Source

M(SE) NI

M(SE) No

Consent

Years (B)

GDP (B)

RTA (B)

Catholic (B)

Legal (B)

Hospital beds (B)

Deceased

Kidney

18.67 (48, 522)

14.27 (1.84) 23

23.07 (1.80) 25

t(40.88) = 3.29, P = .002

0.44***

0.0006***

0.02

4.08*

0.60

0.02

 

Liver

7.19 (47, 470)

5.51 (0.96) 22

8.88 (0.95) 25

t(40.23) = 2.37, P = .022

0.23***

0.0003***

0.004

1.88*

-0.19

-0.02

 

Heart

2.86 (45, 473)

2.40 (0.39) 21

3.32 (0.37) 24

t(38.18) = 1.63, P = .111

0.04

0.0001***

0.007

0.50

0.21

0.001

 

Lungs

1.01 (31, 233)

0.79 (0.28) 17

1.22 (0.31) 14

t(23.37) = 0.97, P = .343

0.01

< 0.0001

-0.005

-0.37

0.05

-0.01

Living

Kidney

6.57 (48, 507)

8.01 (0.99) 23

5.13 (0.98) 25

t(40.80) = 2.03, P = .049

0.23**

0.0001*

0.01

-1.93*

0.93

-0.10***

 

Liver

1.14 (39, 320)

1.27 (0.37) 20

1.02 (0.39) 19

t(34.66) = 0.54, P = .590

0.03

< -0.0001

-0.01†

0.22

-0.37

0.01

Total

Kidney

25.37 (48, 499)

22.43 (1.96) 23

28.32 (1.93) 25

t(40.91) = 2.08, P = .044

0.68***

0.0008***

0.02

2.29

1.06

-0.08

 

Liver

9.39 (37, 309)

7.53 (1.20) 19

11.26 (1.28) 18

t(30.81) = 2.03, P = .051

0.32***

0.0003**

-0.003

1.60

-0.05

-0.02

  1. aThe Slovak Republic had data for deceased and living liver transplants. However, there were no deceased and living liver data for the same year. Therefore, we were unable to calculate total liver transplants for this country and it was removed from this analysis. † P = .085, *P < .05, **P < .01, and ***P < .001. NT = total number of countries in analysis, observed = number of observations, NI = number of opt-in countries in the analysis, No = number of opt-out countries in the analysis. Consent scored -1 = opt-in, 1 = opt-out, Legal scored -1 = common law, 1 = civil law, Catholic scored - 1 = -25%, 0 = > 25% to75%, 1 = >75%, continuous level-two variables (GDP, RTA and hospital beds) were grand mean centered. Table contains estimated means and standard errors. GDP, gross domestic product; RTA, road traffic accidents.
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BMC Medicine

ISSN: 1741-7015

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