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Table 5 Major influencing factors on frequency of MFA use in project areas

From: The impact of different benefit packages of Medical Financial Assistance Scheme on health service utilization of poor population in Rural China

Parameter Estimate S.E. P
Fixed Effect    
Intercept γ 00 -1.93 0.36 0.0018
Type of package(H8SP/H8) γ01 1.17 0.22 0.0017
Gender (male/female) 0.04 0.05 0.3794
Age, yr 0.01 0.002 0.0001
Education (Illiterate/junior high school+) -0.05 0.07 0.5397
Education (Primary school/junior high school+) -0.02 0.06 0.7593
Marital status (Married/widowed+ divorced) 0.09 0.07 0.2471
Marital status (Unmarried/widowed+ divorced) 0.02 0.09 0.8317
Disability status (Presence/absence) -0.04 0.05 0.4921
Distance from home to the nearest designated medical centre (km) 0.02 0.01 0.8361
Economic status (Extremely poor/relatively poor) 0.01 0.05 0.8151
Awareness of MFA detailed package (yes/no) 0.21 0.05 0.0059
Presence of Illness in last 2 weeks (Presence/absence) 0.23 0.07 0.0119
Presence of chronic disease (presence/absence) 0.31 0.05 0.0006
Variance component
   Var (μ0j ) σ2μ 0 0.09 0.05 0.0484
   Var (eij) σ2 0.68 0.03 0.0001
Model Fit Statistics -2LL = 3681.2; AIC = 3713.2; AICC = 3713.6; BIC = 3714.5
  1. Note: Two-level Linear Multilevel model was fitted using SAS PROC MIXED