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Table 3 Association between allocation of China’s development assistance for health projects and sub-national health and social related factors

From: Determinants of China’s development assistance for health at the sub-national level of African countries (2006–2015)

  Medical teams Hospitals Anti-malaria centers
Univariate model Multivariate model Univariate model Multivariate model Univariate model Multivariate model
cOR P-value aOR P-value cOR P-value aOR P-value cOR P-value aOR P-value
Causes of health facility accessibility problems
 Distance (% of the population) 0.91 <  0.001 0.96 0.214 0.89 <  0.001 0.93 0.201 0.89 <  0.001 1.01 0.705
 Finance (% of the population) 0.93 <  0.001 1.01 0.717 0.88 <  0.001 0.92 0.262 0.92 0.002 1.03 0.294
 Transport (% of the population) 0.90 <  0.001 0.95 0.106 0.91 <  0.001 0.94 0.242 0.91 <  0.001 1.02 0.468
Maternal and child health
 Facility delivery rate (% of live births in the previous 5 years) 1.06 <  0.001 1.01 0.614 1.08 <  0.001 1.08 0.015 1.09 <  0.001 0.99 0.754
 Under 5 mortality rate(per thousand live births in previous 5 years) 0.98 <  0.001 1.00 0.927 0.97 0.002 0.97 0.040 0.96 <  0.001 0.99 0.521
 Low birth weight rate (% of live births in previous 5 years) 1.00 0.966 1.05 0.367 0.93 0.270 0.93 0.452 1.01 0.785 1.10 0.075
Malaria prevention and treatment
 Access to an insecticide-treated mosquito net (% of the population) 1.03 0.302 0.90 0.218 1.05 0.138 1.02 0.661 1.08 0.059 1.02 0.494
 ACT used in treatment(% of child with fever) 1.10 0.043 1.25 0.018 0.97 0.662 0.95 0.612 1.00 0.992 0.98 0.600
Social factors
 Male literacy rate (%) 1.12 <  0.001 1.04 0.268 1.11 <  0.001 1.08 0.092 1.12 <  0.001 0.99 0.748
 Female literacy rate (%) 1.10 <  0.001 1.03 0.270 1.11 <  0.001 1.12 0.022 1.10 <  0.001 0.99 0.519
 Male unemployment rate (%) 1.04 0.120 0.97 0.526 1.02 0.348 1.00 0.901 1.05 0.112 0.96 0.377
 Female unemployment rate (%) 1.03 0.061 1.01 0.786 1.02 0.284 1.01 0.771 1.05 0.009 0.99 0.582
  1. Abbreviations: DAH Development Assistance for Health; cOR = crude odds ratio; aOR = adjusted odds ratio; ACT: Artemisinin-based combination therapy. Conditional logistic regression model was used to calculate the odds ratio for each outcome (allocation of the China medical teams, hospitals or anti-malaria centers). Univariate model only included one potential factor and multivariate model was additional adjusted for Leaders’ birth place, national capital city, total population number, population density and nighttime light. P values were reported for both models. Missingness on individual variables < 10%, except for ACT used in treatment (23%, n = 49 principle subdivisions) and access to an insecticide-treated mosquito net (19%, n = 41 principle subdivisions)