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. 2018 Jun 5;11(1):1475040. doi: 10.1080/16549716.2018.1475040

Table 3.

Proportion of deaths over 15 years of age that occurred outside the site by socio-demographic characteristics, and adjusted odds ratio of the binary logistic regression for the probability that a death occurred outside the site, in Ouagadougou (2012–2015), Kaya (2012–2015) and Mlomp (2000–2015) HDSSs.

  Ouagadougou HDSS
Kaya HDSS(1)
Mlomp HDSS(2)
Variables % OR (95% CI) p % OR (95% CI) p % OR (95% CI) p
Birthplace                  
 Natives 3.0 1              
 Non-natives 6.9 2.9 (1.0–8.8)* 0.056            
Sex                  
 Male 4.5 1   6.2 1   21.2 1  
 Female 7.6 2.0 (0.8–4.7) 0.131 4.4 1.0 (0.4–2.1) 0.956 15.5 0.9 (0.5–1.3) 0.504
Age group at death                  
 15–39 8.9 1   17.2 1   45.5 1  
 40–59 7.2 0.7 (0.2–1.9) 0.450 5.3 0.4 (0.2–1.1) 0.083 33.3 0.3 (0.1–0.7)** 0.007
 60–79 3.6 0.2 (0.1–0.8)** 0.019 2.0 0.2 (0.0–0.5)** 0.002 18.4 0.1 (0.0–0.3)*** <0.001
 80+ 4.3 0.2 (0.0–1.1)* 0.069 1.9 0.2 (0.0–0.7)** 0.015 6.3 0.0 (0.0–0.1)*** <0.001
Education                  
 None 5.8 1   1.9 1   15.5 1  
 Primary + 5.8 0.7 (0.3–1.7) 0.405 17.1 5.3 (1.8–16.0)** 0.003 37.1 1.2 (0.6–2.3) 0.633
 Unknown 12.5 1.7 (0.2–17.2) 0.641 10.3 0.990 19.4 1.0 (0.6–1.5) 0.843
Marital status                  
 Married 5.5 1   2.5 1   24.2 1  
 Single 7.6 1.2 (0.3–4.6) 0.755 17.9 1.6 (0.5–5.5) 0.453 28.1 0.3 (0.1–0.8)* 0.010
 Divorced/Widowed 6.2 1.1 (0.4–3.1) 0.888 2.2 2.3 (0.6–9.7) 0.245 11.6 0.6 (0.4–1.0)* 0.053
 Unknown       11.1   16.7 0.5 (0.1–3.5) 0.504
Group of causes of death                  
 Communicable diseases 3.2 1         16.7 1  
 Non-communicable diseases 7.2 3.4 (1.3–9.0)** 0.014       20.2 1.2 (0.7–2.0) 0.451
 Ill-defined 8.7 3.6 (1.0–14.4)* 0.064       16.9 1.1 (0.6–2.0) 0.839
 Total 5.9     5.3     20.6    
Number of deaths 536 695 708

Source: Ouagadougou, Kaya and Mlomp HDSSs

Statistical significance: ***p < 0.01; **p < 0.05; *p < 0.1

(1) In Kaya, people with unknown education and marital status are similar.

(2) In the site of Mlomp, including a dummy variable in the model to control the effect of the period 2012–2015 does not change the results. The period does not have a significant effect at the 10% level.