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Table 4 Crude and adjusted odds ratios of death registration, Adult mortality estimation and validation survey, 2019–2020

From: Adult death registration in Matlab, rural Bangladesh: completeness, correlates, and obstacles

Death registration to CRVS cOR Model 1
Adjusted for correlation of observations within households
Model 2a
Adjusted for correlation of observations within households and village effects
aOR 95% CI aOR 95% CI
Lower limit Upper limit Lower limit Upper limit
Female (Ref: Male) 0.16** 0.16*** 0.07 0.36 0.15*** 0.06 0.36
Age at death (Ref: 15–34 years)        
 35–44 1.42 1.32 0.45 3.86 0.85 0.15 4.79
 45–54 2.76 2.18 0.80 5.98 3.01 0.75 12.07
 55–64 2.16 1.86 0.68 5.12 1.62 0.39 6.69
 65–74 0.93 1.07 0.32 3.55 0.57 0.12 6.63
 75–84 0.87 1.07 0.29 3.90 0.33 0.07 1.57
 85+ 0.66 0.99 0.27 3.59 .45 0.09 2.28
Wealth quintile (Ref: Lowest)        
 Second 1.41 1.52 0.57 4.07 2.97 0.75 11.70
 Middle 2.98** 1.86** 1.39 10.75 3.24 0.94 11.13
 Fourth 2.74* 2.62 0.95 7.28 10.21** 2.56 40.64
 Highest 1.99 2.46 0.96 6.27 5.01* 1.44 17.48
 Missing 2.69* 3.94* 1.03 15.00 8.53** 1.94 37.53
Injuries/accidental deaths (Ref: Yes) 0.42 0.58 0.17 1.95 0.73 0.20 2.69
Facility death (Ref: outside facility death) 0.50** 0.73 0.33 1.61 0.81 0.33 1.99
Year of death 1.14 1.17 0.85 1.62 1.32 0.96 1.81
Constant - 0.17* 0.03* 0.85 0.04* < 0.01 0.77
Number 571 571 - - 379 - -
  1. **p < 0.01; *p < 0.05; cOR stands for crude odds ratio; aOR stands for adjusted odds ratio
  2. aModel 2 excludes villages having all deaths registered or no deaths registered; thus, drops 192 observations