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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