Table 2

Logistic regressions to estimate propensity score
Dependent variable: Treated households
Independent variables: Coef. 95% CI Sig.
1. Household head characteristics
Age of household head in years −0.016 −0.026 −0.005 yes
Sex of household head-Male −0.255 −0.598 0.089 no
Number of years in school of household head −0.089 −0.135 −0.043 yes
Ethnic of household head-Kinh −0.337 −0.842 0.168 no
Religion of household head-Non religion −0.369 −0.955 0.218 no
Marital status of household head-Divorced 0.161 −0.494 0.815 no
Marital status of household head-Widowed −0.086 −0.450 0.277 no
Marital status of household head-Single 0.100 −0.540 0.740 no
Occupation of household head-Retire −1.090 −1.714 −0.467 yes
Occupation of household head-Elderly −0.031 −0.344 0.283 no
Occupation of household head-Other 0.216 −0.072 0.504 no
2. Household characteristics
Distance to commune health station (km) −0.096 −0.209 0.016 no
Distance to district health center (km) −0.023 −0.047 0.001 no
Total income last year 0.000 0.000 0.000 yes
Total expenditure last year 0.000 0.000 0.000 no
Debt amount 0.000 0.000 0.000 yes
Number of females in household 0.118 0.009 0.226 yes
Number of children under 6 years in household 0.175 −0.037 0.387 no
Number of people > =60 years in household −0.270 −0.497 −0.043 yes
Number of children under 6 years who were sick −0.120 −0.414 0.173 no
Number of people > =60 who were sick 0.059 −0.169 0.287 no
Number of males who sick 0.113 −0.038 0.265 no
Number of females who were sick 0.029 −0.120 0.178 no
Constant 2.089 0.970 3.208 yes

N = 3957; LR chi2(23) = 557.58; Prob > chi2 = 0.000; Log likelihood = −1239.82.

Thanh and Lindholm

Thanh and Lindholm BMC Health Services Research 2012 12:333   doi:10.1186/1472-6963-12-333

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