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Table 5 Stratified analysis on factors associated with rural-to-urban migrants’ medical return across different areas

From: Association between rural-to-urban migrants’ social medical insurance, social integration and their medical return in China: a nationally representative cross-sectional data analysis

Variables

Developed areas(n = 1734)

Developing areas(n = 1132)

Under-developed areas(n = 1152)

Used inpatient service in hometown a (n = 297, 17.1%)

Used inpatient service in other places a (n = 71, 4.1%)

Used inpatient service in hometown a (n = 153, 13.5%)

Used inpatient service in other places a (n = 140, 12.4%)

Used inpatient service in hometown a (n = 164, 14.2%)

Used inpatient service in other places a (n = 95, 8.2%)

Gender

 Male

1.45(0.94,2.24)

0.79(0.41,1.53)

1.14(0.70,1.87)

0.93(0.60,1.43)

1.37(0.80,2.35)

0.86(0.50,1.50)

 Female(ref)

1

1

1

1

1

1

Age group

 15-

0.90(0.51,1.59)

2.37(0.66,8.50)

1.16(0.57,2.35)

0.55(0.27,1.12)

1.04(0.51,2.14)

0.57(0.22,1.46)

 25-

0.65(0.39,1.08)

3.06(1.02,9.22)*

0.78(0.41,1.48)

0.53(0.30,0.94)*

1.04(0.55,2.00)

0.88(0.43,1.82)

 35-

0.81(0.48,1.36)

3.42(1.13,10.39)*

1.17(0.64,2.12)

0.66(0.39,1.11)

0.92(0.48,1.76)

1.59(0.84,3.03)

 45-(ref)

1

1

1

1

1

1

Household size

 Alone

2.43(1.24,4.74)**

1.50(0.55,4.08)

1.78(0.86,3.67)

1.40(0.66,2.99)

2.62(1.29,5.32)**

1.40(0.53,3.64)

 With one family member

3.12(2.09,4.68)***

1.08(0.53,2.23)

2.21(1.28,3.81)**

1.85(1.05,3.26)*

2.54(1.45,4.45)**

1.19(0.59,2.43)

 With two family members

1.53(1.11,2.10)*

0.66(0.36,1.20)

0.86(0.56,1.31)

1.32(0.83,2.09)

1.24(0.83,1.86)

1.03(0.63,1.69)

 With three or more family members(ref)

1

1

1

1

1

1

Migrated from other

 Provinces(ref)

1

1

1

1

1

1

 Cities

1.60(1.16,2.21)**

1.66(0.91,3.02)

1.66(1.03,2.68)*

1.17(0.71,1.93)

0.98(0.65,1.50)

0.66(0.38,1.15)

 Districts

1.15(0.68,1.93)

2.24(1.03,4.89)*

1.28(0.78,2.09)

1.08(0.64,1.81)

1.06(0.68,1.66)

1.01(0.59,1.71)

Employment

 Yes

1.13(0.83,1.53)

0.93(0.52,1.68)

1.21(0.80,1.84)

0.90(0.58,1.39)

1.63(1.08,2.45)*

0.93(0.55,1.58)

 No(ref)

1

1

1

1

1

1

Housing Occupancy

 Owned

0.60(0.23,1.60)

1.13(0.23,5.66)

0.49(0.22,1.11)

1.77(0.62,5.01)

1.12(0.34,3.73)

3.46(0.44,27.47)

 Rented

1.13(0.47,2.75)

0.87(0.19,3.94)

0.58(0.28,1.23)

0.88(0.32,2.43)

1.56(0.50,4.82)

1.96(0.25,15.28)

 Temporary shelter (ref)

1

1

1

1

1

1

Permanent settlement intention

 Yes

0.60(0.38,0.92)*

0.76(0.28,2.05)

1.06(0.50,2.24)

0.37(0.18,0.78)**

0.59(0.32,1.08)

1.28(0.43,3.77)

 No(ref)

1

1

1

1

1

1

 Still unknown

0.88(0.55,1.41)

1.65(0.60,4.56)

1.43(0.65,3.14)

0.65(0.29,1.43)

0.99(0.53,1.86)

1.66(0.53,5.19)

Social medical insurance status

 None

0.87(0.48,1.59)

1.28(0.52,3.16)

1.40(0.48,4.06)

1.66(0.78,3.55)

0.73(0.22,2.45)

0.88(0.31,2.51)

 NRCMS

2.32(1.57,3.44)***

1.22(0.63,2.34)

3.06(1.46,6.41)**

1.07(0.61,1.87)

2.38(1.20,4.75)*

1.23(0.63,2.42)

 NRCMS&URBMI/UEBMI

1.18(0.61,2.27)

0.82(0.26,2.60)

1.28(0.32,5.21)

1.90(0.71,5.04)

2.45(0.83,7.23)

2.45(0.80,7.44)

 URBMI/UEBMI(ref)

1

1

1

1

1

1

The reason for being hospitalised

 Disease(ref)

1

1

1

1

1

1

 Injury

0.31(0.16,0.61)**

0.71(0.30,1.72)

0.86(0.45,1.65)

0.47(0.24,0.93)*

0.17(0.05,0.59)**

1.02(0.50,2.09)

 Delivery

1.46(0.93,2.30)

0.24(0.11,0.49)***

1.48(0.82,2.67)

0.28(0.15,0.52)***

1.04(0.58,1.85)

0.31(0.15,0.61)**

 Other reasons

0.99(0.53,1.85)

1.58(0.74,3.41)

1.87(0.85,4.14)

1.24(0.56,2.77)

1.16(0.55,2.44)

0.68(0.25,1.83)

  1. *:p < 0.05;
  2. **:p < 0.01;
  3. ***p < 0.001
  4. a. ref of Y was current residence