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. 2018 Nov 22;17:173. doi: 10.1186/s12939-018-0891-0

Table 3.

Multiple regression model analysis of net benefit of inpatient care by types of medical insurance schemes for urban and rural residents

NRCMS URBMI URRBMI
Coef. SD Coef. SD Coef. SD
Gender, ref.: Male 0.21** 0.09 0.09*** 0.01 0.06* 0.04
Age, ref.:≤44
 45–59 0.07 0.11 −0.08 0.14 −0.03* 0.02
  ≥ 60 0.31*** 0.04 0.18** 0.09 0.17* 0.09
Marital status, ref.: married −0.41*** 0.08 −0.29*** 0.06 −0.17*** 0.02
Employment/retirement status, ref.: employment
 Retirement 0.44 0.46 0.28** 0.14 −0.31 0.29
 Unemployment or student −0.13 0.16 −0.08 0.07 −0.21 0.24
Educational level, ref.: Under primary school
 Junior 0.11 0.14 0.17** 0.08 0.18** 0.09
 High school or above 0.34*** 0.07 0.48** 0.23 0.44*** 0.11
Chronic, ref.: No chronic 1.28*** 0.04 1.34*** 0.43 1.59*** 0.31
Health status(EQ-VAS: self-reported), ref.: Excellent
 Good 0.23 0.35 0.43 0.51 0.37 0.31
 Medium 0.77 0.68 0.92* 0.48 0.65 0.57
 Poor 1.26*** 0.14 1.61*** 0.30 1.19*** 0.21
 Very poor 1.41** 0.70 1.84*** 0.19 1.32** 0.62
Distance to the medical institution, ref.:< 1 km 0.03* 0.02 −0.04 0.06 −0.07 0.11
Willingness to seek inpatient care, ref: Primary care hospital
 General hospital or TCM hospital (Traditional Chinese Medicine) 0.33** 0.15 0.29*** 0.07 0.41*** 0.08
 Per capita income 0.09*** 0.01 0.03** 0.01 0.02** 0.01

Note: Estimates were weighted using individual sampling weights and adjusted for individual responses

*** implies p-value < 0.01, ** indicates p-value < 0.05, * implies p-value < 0.1