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Table 3 Univariate analysis of health services utilization among elderly migrants in China, n(%)

From: Status and determinants of health services utilization among elderly migrants in China

Variables Doctor visits Hospitalization inpatient care
Yes No Yes No Local hospitals Hometown hospitals
Predisposing factors
Age (year)
 60–64 2916 (43.4%) 3800 (56.6%) * 383 (81.7%) 86 (18.3%) 263 (77.1%) 78 (22.9%)
 65–69 1458 (46.2%) 1699 (53.8%) 263 (81.7%) 59 (18.3%) 184 (78.6%) 50 (21.4%)
  ≥ 70 1560 (49.2%) 1610 (50.8%) 403 (81.9%) 89 (18.1%) 304 (83.3%) 61 (16.7%)
Gender
 Male 3030 (44.3%) 3808 (55.7%) * 533 (81.5%) 121 (18.5%) 372 (79.5%) 96 (20.5%)
 Female 2904 (46.8%) 3301 (53.2%) 516 (82.0%) 113 (18.0%) 379 (80.3%) 93 (19.7%)
Marital status
 Single 1200 (49.6%) 1219 (50.4%)* 243 (81.5%) 55 (18.5%) 180 (81.1%) 42 (18.9%)
 Currently married 4734 (44.6%) 5890 (55.4%) 806 (81.8%) 179 (18.2%) 571 (79.5%) 147 (20.5%)
Hukou status
 Rural residence 3911 (44.7%) 4834 (55.3%)* 678 (81.2%) 157 (18.8%) 476 (78.2%) 133 (21.8%)
 Urban residence 2023 (47.1%) 2275 (52.9%) 371 (82.8%) 77 (17.2%) 275 (83.1%) 56 (16.9%)
Education
 Elementary/less 3545 (45.5%) 4254 (54.5%)* 675 (82.1%) 147 (17.9%) 479 (78.5%) 131 (21.5%)
 Middle school 1468 (44.0%) 1868 (56.0%) 222 (80.1%) 55 (19.9%) 159 (82.8%) 33 (17.2%)
 High school/above 921 (48.3%) 987 (51.7%) 152 (82.6%) 32 (17.4%) 113 (81.9%) 25 (18.1%)
Enabling factors
Monthly household income (RMB)
  ≤ 3500 yuan 1663 (39.7%) 2524 (60.3%)* 335 (80.9%) 79 (19.1%)* 250 (84.2%) 47 (15.8%)*
 3501–7000 yuan 2518 (45.8%) 2979 (54.2%) 463 (79.3%) 121 (20.7%) 330 (79.1%) 87 (20.9%)
  > 7000 yuan 1753 (52.2%) 1606 (47.8%) 251 (88.1%) 34 (11.9%) 171 (75.7%) 55 (24.3%)
Years of living in the city of residence
  ≤ 4 years 3146 (46.3%) 3646 (53.7%)* 513 (80.7%) 123 (19.3%) 346 (75.1%) 115 (24.9%)*
 5–9 years 1496 (46.0%) 1755 (54.0%) 257 (82.4%) 55 (17.6%) 182 (78.1%) 51 (21.9%)
  ≥ 10 years 1292 (43.1%) 1708 (56.9%) 279 (83.3%) 56 (16.7%) 223 (90.7%) 23 (9.3%)
Migration range
 Across provinces 2703 (48.4%) 2884 (51.6%)* 380 (81.2%) 88 (18.8%) 268 (76.4%) 83 (23.6%)*
 Across cities within a province 1835 (44.3%) 2309 (55.7%) 321 (81.5%) 73 (18.5%) 227 (79.6%) 58 (20.4%)
 Across counties within a city 1396 (42.2%) 1914 (57.8%) 348 (82.7%) 73 (17.3%) 256 (84.2%) 48 (15.8%)
Flow reasons
 Seeking jobs 1184 (38.8%) 1868 (61.2%)* 129 (73.7%) 46 (26.3%)* 87 (86.1%) 14 (13.9%)*
 Looking after children or grandchildren 2114 (47.6%) 2325 (52.4%) 319 (85.8%) 53 (14.2%) 215 (73.1%) 79 (26.9%)
 Retirement/keeping fit 2022 (47.2%) 2261 (52.8%) 519 (82.3%) 112 (17.7%) 396 (83.0%) 81 (17.0%)
 Others 614 (48.4%) 655 (51.6%) 82 (78.1%) 23 (21.9%) 53 (77.9%) 15 (22.1%)
Friends number
  < 5 2390 (43.3%) 3130 (56.7%)* 493 (81.2%) 114 (18.8%) 335 (74.6%) 114 (25.4%)*
  ≥ 5 3544 (47.1%) 3979 (52.9%) 556 (82.2%) 120 (17.8%) 416 (84.7%) 75 (15.3%)
Health insurance
 NRCMS 3003 (44.8%) 3693 (55.2%) 543 (81.4%) 124 (18.6%) 373 (76.0%) 118 (24.0)*
 UEMI 1095 (45.2%) 1325 (54.8%) 233 (85.0%) 41 (15.0%) 171 (81.4%) 39 (18.6%)
 Others (URMI, CMIURR and free health service) 946 (47.3%) 1053 (52.7%) 165 (83.3%) 33 (16.7%) 132 (88.6%) 17 (11.4%)
Location enrolled health insurance
 Hometown 4339 (44.5%) 5416 (55.5%)* 811 (82.4%) 173 (17.6%) 566 (77.2%) 167 (22.8%)*
 Local 665 (52.5%) 601 (47.5%) 121 (84.0%) 23 (16.0%) 105 (94.6%) 6 (5.4%)
Need factors
Chronic diseases
 Yes 1403 (48.4%) 1495 (51.6%)* 553 (84.0%) 105 (16.0%)* 415 (84.3%) 77 (15.7%)*
 No 4531 (44.7%) 5614 (55.3%) 496 (79.4%) 129 (20.6%) 336 (75.0%) 112 (25.0%)
Self-rated health
 Poor 645 (45.3%) 779 (54.7%) 404 (81.8%) 90 (18.2%) 295 (84.3%) 55 (15.7%)*
 Neutral 2545 (44.4%) 3184 (55.6%) 424 (84.0%) 81 (16.0%) 315 (80.8%) 75 (19.2%)
 Good 2744 (46.6%) 3146 (53.4%) 221 (77.8%) 63 (22.2%) 141 (70.5%) 59 (29.5%)
  1. *P < 0.05