Table 1 Bivariate associations between preferences for care settings and independent variables
Home care | Care in relatives’ homes | Care in assisted living | Care in nursing home/old age home | Care in a foreign country | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Low preferences (n = 127; 12.8%) | High preferences (n = 866; 87.2%) | p-valuea | Low preferences (n = 668; 67.7%) | High preferences (n = 319; 32.3%) | p-valuea | Low preferences (n = 426; 44.4%) | High preferences (n = 534; 55.6%) | p-valuea | Low preferences (n = 659; 68.0%) | High preferences (n = 310; 32.0%) | p-valuea | Low preferences (n = 929; 94.5%) | High Preferences (n = 54; 5.5%) | p-valuea | |
Age: Mean (SD) | 76.5 (7.5) | 75.5 (6.4) | p = .11 | 75.8 (6.7) | 75.4 (6.4) | 0.43 | 76.3 (6.7) | 75.0 (6.5) | p < .01 | 75.4 (6.6) | 75.8 (6.5) | p = .33 | 75.9 (6.6) | 72.1 (5.6) | p < .001 |
Sex: N | p < .01 | p < .001 | p = .83 | p = .49 | p < .10 | ||||||||||
Women | 85 | 475 | 411 | 147 | 238 | 302 | 367 | 180 | 538 | 24 | |||||
Men | 42 | 391 | 257 | 172 | 188 | 232 | 292 | 130 | 391 | 30 | |||||
Living situation: N | p = .37 | p = .93 | p = .98 | ||||||||||||
Living with partner or spouse | 35 | 353 | p < .01 | 216 | 168 | p < .001 | 161 | 217 | 257 | 120 | 363 | 21 | |||
Others | 92 | 513 | 452 | 151 | 265 | 317 | 402 | 190 | 566 | 33 | |||||
Region: N | p = .97 | p = .29 | p = .21 | ||||||||||||
West Germany | 94 | 648 | p = .84 | 490 | 244 | p = .29 | 317 | 398 | 485 | 238 | 243 | 10 | |||
East Germany | 33 | 218 | 178 | 75 | 109 | 136 | 174 | 72 | 686 | 44 | |||||
Education: N | p = .98 | p < .001 | p < .10 | p < .05 | |||||||||||
Without a vocational degree | 10 | 65 | p = .83 | 52 | 23 | 45 | 23 | 44 | 25 | 67 | 5 | ||||
Apprenticeship, full-time vocational school; | 52 | 319 | 254 | 117 | 158 | 201 | 236 | 132 | 363 | 10 | |||||
Professional school or trade and technical school for vocational education; | 28 | 214 | 162 | 79 | 106 | 127 | 168 | 62 | 221 | 17 | |||||
University, Fachhochschule, school of engineering | 37 | 262 | 200 | 95 | 114 | 180 | 208 | 88 | 274 | 21 | |||||
Place of birth: N | p = .37 | p < .05 | p = .27 | p = .33 | p < .001 | ||||||||||
Born in Germany | 120 | 796 | 624 | 285 | 390 | 500 | 605 | 290 | 866 | 41 | |||||
Born abroad | 7 | 67 | 43 | 32 | 34 | 33 | 52 | 19 | 60 | 13 | |||||
Having children: N | p = .42 | p < .01 | p = .96 | p = .53 | p = .23 | ||||||||||
Yes | 103 | 726 | 545 | 283 | 356 | 448 | 554 | 256 | 779 | 42 | |||||
No | 24 | 139 | 123 | 35 | 69 | 86 | 104 | 54 | 149 | 12 | |||||
Status of health insurance: N | p < .01 | p = .96 | p = .65 | p = .22 | |||||||||||
Statutory health insurance | 111 | 734 | p = .50 | 586 | 257 | 360 | 453 | 558 | 265 | 793 | 43 | ||||
Private health insurance | 16 | 128 | 81 | 60 | 63 | 80 | 99 | 43 | 132 | 11 | |||||
Provided care for family/friends: N | p = .97 | p = .39 | p = .92 | p = .57 | |||||||||||
Yes | 67 | 410 | p = .22 | 346 | 154 | 215 | 285 | 341 | 161 | 444 | 28 | ||||
No | 59 | 456 | 321 | 154 | 210 | 249 | 318 | 148 | 484 | 26 | |||||
Level of care: N | p > .05 | p = .62 | p < .05 | p = .41 | p = .48 | ||||||||||
Yes | 2 | 58 | 39 | 21 | 33 | 23 | 43 | 16 | 57 | 2 | |||||
No | 125 | 805 | 629 | 295 | 392 | 510 | 614 | 293 | 870 | 51 | |||||
Self-rated health (from x = ‘very bad’ to y = ‘very good’): Mean (SD) | 3.8 (0.8) | 3.6 (0.9) | p < .05 | 3.6 (0.9) | 3.7 (0.9) | p < .05 | 3.6 (1.0) | 3.7 (0.9) | p = .19 | 3.7 (0.9) | 3.6 (0.9) | p = .11 | 3.6 (0.9) | 3.6 (1.1) | p = .60 |
Involvement in the issue of need for care (from x = ‘very little’ to y = ‘very much’): Mean (SD) | 3.0 (1.5) | 2.9 (1.4) | p = .45 | 2.9 (1.5) | 2.8 (1.4) | p = .16 | 2.9 (1.5) | 2.9 (1.4) | p = .63 | 2.9 (1.4) | 2.9 (1.4) | p = .61 | 2.9 (1.4) | 2.8 (1.6) | p = .58 |