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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