Table 4.
Odds ratios of anticipated CMCP services (binary logistic regression).
| Variables | Personal Care | Medical Care | Psychological Consulting | Health Examination | Social and Recreational Activities | Healthcare Education |
|---|---|---|---|---|---|---|
| Predisposing variables | ||||||
| Residence (ref. urban) | ||||||
| Town | 1.94(1.49,2.54) ** | 1.65(1.06,2.58) * | 1.63(1.18,2.24) ** | 2.35(1.05,5.26) * | 2.04(1.54,2.70) ** | 1.74(1.25,2.43) ** |
| Rural | 2.10(1.49,2.96) *** | 2.30(1.59,3.31) *** | 2.07(1.41,3.05) *** | 3.78(2.27,5.30) ** | 2.39(1.28,3.35) ** | 2.16(1.44,3.26) ** |
| Age (ref. 60~69) | ||||||
| 70~79 | 1.79(1.42,2.53) * | 1.69(1.22,2.13) ** | 1.19(0.68,1.76) | 1.54(1.13,2.50) * | 1.14(0.75,1.69) | 1.39(0.79,2.28) |
| ≥80 | 2.31(1.58,3.29) *** | 2.17(1.43,3.16) ** | 1.66(1.16,2.48) * | 2.18(1.78,3.68) ** | 1.64(1.23,2.59) * | 1.97(1.42,2.25) ** |
| Education (ref. illiterate) | ||||||
| Primary | 0.59(0.46,0.87) ** | 0.38(0.13,0.95) ** | 0.78(0.51,0.94) * | 1.28(0.91,1.76) | 0.63(0.43,0.89) ** | 0.81(0.55,1.26) |
| Junior high school | 0.91(0.65,1.24) | 1.29(0.37,4.35) | 1.19(0.82,1.75) | 1.38(1.05,1.87) | 0.95(0.74,1.37) | 1.19(0.79,1.74) |
| Senior high school and above | 1.84(1.12,2.24) ** | 1.78(1.52,3.12) * | 1.97(1.66,2.41) * | 1.65(1.19,2.37) ** | 1.82(1.58,2.12) ** | 1.96(1.64,3.40) ** |
| Enabling variables | ||||||
| Occupation (ref. farmer) | 1.25(0.79,1.78) | 1.27(0.81,1.79) | 1.37(1.23,1.89) | 1.31(0.94,1.76) | 1.32(0.81,1.79) | 1.18(0.82,1.78) |
| Number of children (ref. 0) | ||||||
| 1 | 0.61(0.48,3.25) | 0.72(0.28,3.65) | 0.68(0.27,3.44) | 0.59(0.31,0.75) * | 0.76(0.38,3.57) | 0.81(0.18,3.64) |
| ≥2 | 1.47(0.33,1.78) | 1.27(0.98,1.77) | 1.24(0.59,1.74) | 1.15(0.61,1.53) | 1.46(0.58,1.67) | 1.26(0.57,1.76) |
| Marital status (ref. married) | 1.61(1.27,2.34) ** | 1.54(1.25,2.24) ** | 1.52(1.24,2.17) ** | 1.69(1.45,2.31) * | 2.24(1.56,2.84) ** | 1.55(1.15,2.72) ** |
| Economic status (ref. balance), | ||||||
| expenditures exceeded income | 1.74(1.13,2.71) * | 1.47(0.36,1.67) | 1.61(1.10,2.77) * | 1.19(0.78,1.75) | 1.74(1.13,2.50) * | 1.54(1.03,2.50) * |
| Income exceeded expenditures | 2.38(1.98,3.98) ** | 1.74(1.35,2.74) ** | 2.24(1.82,3.94) ** | 1.75(1.06,2.68) * | 2.38(1.58,3.89) ** | 2.38(1.78,3.87) ** |
| Primary caregiver (ref. none) | ||||||
| Spouse | 0.22(0.32,0.85) ** | 0.88(0.71,0.95) * | 0.57(0.39,0.81) ** | 0.92(0.38,3.76) | 0.52(0.32,0.96) ** | 0.42(0.22,0.95) ** |
| Children | 1.37(0.47,4.25) | 1.28(0.71,1.93) | 1.56(0.53,4.94) | 1.57(0.59,1.86) | 1.57(0.47,4.34) | 1.37(0.57,4.25) |
| Others | 1.67(1.61,3.22) * | 1.76(1.52,2.48) * | 2.25(1.70,4.97) * | 1.84(1.46,2.35) ** | 1.67(1.41,3.13) * | 1.67(1.31,3.42) * |
| Need variables | ||||||
| Self-rated health (ref. bad) | 1.31(0.78,1.64) | 1.39(0.23,1.90) | 1.51(0.87,1.63) | 1.37(0.23,1.85) | 2.14(1.82,2.94) ** | 1.41(0.27,1.81) |
| ADL (ref. completely independent) | ||||||
| Relatively independent | 2.32(1.93,4.75) * | 1.45(1.29,2.15) * | 2.14(1.84,4.55) * | 1.64(1.35,2.23) ** | 2.25(1.15,5.26) * | 2.14(1.84,4.75) * |
| Disability | 3.59(2.32,5.32) ** | 1.65(1.07,2.56) *** | 3.59(2.42,5.41) ** | 2.56(1.94,3.16) *** | 3.68(2.27,5.20) * | 3.65(3.16,4.22) *** |
| Model summary: | ||||||
| Nagelkerke R2 | 0.21 | 0.20 | 0.19 | 0.19 | 0.18 | 0.18 |
| χ2 with df = 45 (p-value) | 126.35(<0.0001) | 124.7(<0.0001) | 91.28(<0.0001) | 101.84(<0.0001) | 91.52(0.0004) | 83.95(0.0002) |
| −2Log likelihood | 4781.27 | 1323.18 | 1659.72 | 18197.21 | 1678.63 | 1715.84 |
Note: *** p < 0.001; ** p < 0.01; * p < 0.05. The table presents the final results when all sets of variables were entered at once, for the sake of presentational simplification.