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Table 3 Socio-economic determinants of completeness of death registration (logit) in China in 2018

From: Measuring the completeness of death registration in 2844 Chinese counties in 2018

 

Model 1

Model 2

OR (95% CI)

P

OR (95% CI)

P

Fixed effects

 Gender (ref: male)

1

 

1

 

  Female

1.05 (0.99, 1.11)

0.10

1.05 (0.99, 1.11)

0.09

 Mean education years per capita

1.31 (1.27, 1.36)

< 0.01

1.30 (1.26, 1.35)

< 0.01

 Log lag distribute income per capital ($)

1.14 (1.08, 1.21)

< 0.01

1.13 (1.07, 1.19)

< 0.01

 Log population density (person per km2)

1.04 (1.01, 1.07)

< 0.01

1.03 (1.01, 1.06)

0.02

 Proportion of ethnic minority population (%) (ref: 0–0.3)

1

 

1

 

  0.3–1.5

0.96 (0.89, 1.05)

0.37

0.96 (0.89, 1.04)

0.34

  1.5–13.1

0.92 (0.84, 1.01)

0.09

0.91 (0.83, 1.01)

0.07

  13.1–99.8

0.66 (0.59, 0.75)

< 0.01

0.66 (0.59, 0.74)

< 0.01

 DSP (ref: yes)

  

1

 

  No

  

0.60 (0.57, 0.64)

< 0.01

 HAQ Index

  

1.04 (1.01, 1.07)

0.01

Random effects

 Province-level variance (SE)

0.617 (0.162)

 

0.519 (0.139)

 

 MRR (provinces)

2.12

 

1.99

 

 PCV (provinces) (%)

44.14

 

53.05

 

 County-level variance (SE)

1.101 (0.021)

 

1.059 (0.02)

 

 MRR (counties)

2.72

 

2.67

 

 PCV (counties) (%)

13.39

 

16.68

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