Table 5 Sociodemographic characteristics of respondents according to the different categories of expectations and acceptability of smart nursing homes (n = 264)
Domain | Variable | Total n (%) | Lowest tertile of expectations (Mean ≤ 3.90), n (%) | Middle tertile of expectations (Means: 3.91–4.40), n (%) | Highest tertile of expectations (Means ≥ 4.41), n (%) | X2 (P value) |
Expectations | Total | 264 (100.0) | 93 (35.2) | 101 (38.3) | 70 (26.5) | Â |
Willingness to move to a NH a | ||||||
 No | 84 (31.8) | 47 (56.0) | 29 (34.5) | 8 (9.5) | 28.885 (< 0.001) | |
 Yes | 180 (68.2) | 46 (25.6) | 72 (40.0) | 62 (34.4) | ||
Age | ||||||
 60–64 | 88 (33.3) | 21 (23.9) | 37 (42.0) | 30 (34.1) | 14.642 (0.006) | |
 65–70 | 88 (33.3) | 44 (50.0) | 28 (31.8) | 16 (18.2) | ||
 71–75 | 88 (33.3) | 28 (31.8) | 36 (40.9) | 24 (27.3) | ||
Gender | ||||||
 Male | 130 (49.2) | 44 (33.8) | 53 (40.8) | 33 (25.4) | 0.684 (0.710) | |
 Female | 134 (50.8) | 49 (36.6) | 48 (35.8) | 37 (27.6) | ||
Health status | ||||||
 Healthy | 98 (37.1) | 43 (43.9) | 33 (33.7) | 22 (22.4) | 5.446 (0.245) | |
 One chronic disease | 101 (38.3) | 32 (31.7) | 40 (39.6) | 29 (28.7) | ||
 Two or more chronic diseases | 65 (24.6) | 18 (27.7) | 28 (43.1) | 19 (29.2) | ||
Income per month | ||||||
 No pension | 30 (11.4) | 13 (43.3) | 9 (30.0) | 8 (26.7) | 4.882 (0.559) | |
 1000–2000 CNY | 59 (22.3) | 17 (43.3) | 24 (30.0) | 18 (26.7) | ||
 2000–4000 CNY | 89 (33.7) | 37 (41.6) | 32 (36.0) | 20 (36.0) | ||
 More than 4000 CNY | 86 (32.6) | 26 (30.2) | 36 (41.9) | 24 (27.9) | ||
Type of insurance | Â | Â | ||||
 No insurance or with NRCMIa | 22 (8.3) | 9 (40.9) | 11 (50.0) | 2 (9.1) | 21.412 (0.002) | |
 URBMIb | 30 (11.4) | 12 (40.0) | 7 (23.3) | 11 (36.7) | ||
 UEBMIc | 181 (68.6) | 65 (35.9) | 76 (42.0) | 40 (22.1) | ||
 Other commercial insurance | 31 (11.7) | 7 (22.6) | 7 (22.6) | 17 (54.8) | ||
Education | ||||||
 Primary school degree or lower | 16 (6.1) | 8 (50.0) | 3 (18.8) | 5 (31.3) | 13.388 (0.037) | |
 Junior school degree | 68 (25.8) | 22 (32.4) | 24 (35.3) | 22 (32.4) | ||
 High school degree | 139 (52.6) | 51 (36.7) | 62 (44.6) | 26 (18.7) | ||
 University degree or higher | 41 (15.5) | 12 (29.3) | 12 (29.3) | 17 (41.5) | ||
Number of children | ||||||
 1 Child or no child | 150 (56.8) | 51 (34.0) | 53 (35.3) | 46 (30.7) | 5.571 (0.234) | |
 2 Children | 96 (36.4) | 35 (36.5) | 43 (44.8) | 18 (18.8) | ||
 3 or more than 3 children | 18 (6.8) | 7 (38.9) | 5 (27.8) | 6 (33.3) | ||
Living with whom | ||||||
 Alone | 24 (9.1) | 10 (41.7) | 6 (25.0) | 8 (33.3) | 9.906 (0.129) | |
 With partner or housemaid | 125 (47.3) | 41 (32.8) | 57 (45.6) | 27 (21.6) | ||
 With child or children | 42 (15.9) | 19 (45.2) | 14 (33.3) | 9 (21.4) | ||
 With partner and Children | 73 (27.7) | 23 (31.5) | 24 (32.9) | 26 (35.6) | ||
Familiarity with technology | ||||||
 Not familiar with technology | 54 (20.5) | 26 (48.1) | 25 (46.3) | 3 (5.6) | 16.212 (0.003) | |
 Neutral | 146 (55.3) | 49 (33.6) | 51 (34.9) | 46 (31.5) | ||
 Familiar with technology | 64 (24.2) | 18 (28.1) | 25 (39.1) | 21 (32.8) | ||
Openness to technology | ||||||
 No (not open to technology) | 76 (28.8) | 48 (63.2) | 26 (34.2) | 2 (2.6) | 47.051 (< 0.001) | |
 Yes (open to technology) | 188 (71.2) | 45 (23.9) | 75 (39.9) | 68 (36.2) | ||
Self-efficacy in applying smart technologies | ||||||
 No | 96 (36.4) | 64 (66.7) | 29 (30.2) | 3 (3.1) | 76.011 (< 0.001) | |
 Yes | 168 (63.6) | 29 (17.3) | 72 (42.9) | 67 (39.9) |  | |
Domain |  Variable | Total n (%) | Lowest tertile of acceptability (Mean ≤ 3.93), n (%) | Middle tertile of acceptability (Means: 3.94–4.29), n (%) | Highest tertile of acceptability (Means ≥ 4.30), n (%) | X2 P value |
Acceptability |  Total | 264 (100.0) | 94 (35.6) | 87 (33.0) | 83 (31.4) |  |
Willingness to move to a nursing home | ||||||
 No | 84 (31.8) | 48 (57.1) | 21 (25.0) | 15 (17.9) | 25.644 (< 0.001) | |
 Yes | 180 (68.2) | 46 (25.6) | 66 (36.7) | 68 (37.8) | ||
Age | ||||||
 60–64 | 88 (33.3) | 23 (26.1) | 32 (36.4) | 33 (37.5) | 9.617 (0.047) | |
 65–70 | 88 (33.3) | 42 (47.7) | 25 (28.4) | 21 (23.9) | ||
 71–75 | 88 (33.3) | 29 (33.0) | 30 (34.1) | 29 (33.0) | ||
Gender | ||||||
 Male | 130 (49.2) | 38 (29.2) | 46 (35.4) | 46 (35.4) | 4.651 (0.098) | |
 Female | 134 (50.8) | 56 (41.8) | 41 (30.6) | 37 (27.6) | ||
Health status | ||||||
 Healthy | 98 (37.1) | 44 (44.9) | 29 (29.6) | 25 (25.5) | 7.400 (0.116) | |
 One chronic disease | 101 (38.3) | 33 (32.7) | 32 (31.7) | 36 (35.6) | ||
 Two or more chronic diseases | 65 (24.6) | 17 (26.2) | 26 (40.0) | 22 (33.8) | ||
Income per month | ||||||
 No pension | 30 (11.4) | 12 (40.0) | 7 (23.3) | 11 (36.7) | 7.772 (0.255) | |
 1000–2000 CNY | 59 (22.3) | 18 (30.5) | 25 (42.4) | 16 (27.1) | ||
 2000–4000 CNY | 89 (33.7) | 32 (36.0) | 23 (25.8) | 34 (38.2) | ||
 More than 4000 CNY | 86 (32.6) | 32 (37.2) | 32 (37.2) | 22 (25.6) | ||
Type of insurance | Â | Â | ||||
 No insurance or with NRCMIa | 22 (8.3) | 11 (50.0) | 7 (31.8) | 4 (18.2) | 6.523 (0.367) | |
 URBMIb | 30 (11.4) | 13 (43.3) | 6 (20.0) | 11 (36.7) | ||
 UEBMIc | 181(68.6) | 62 (34.3) | 63 (34.8) | 56 (30.9) | ||
 Other commercial insurance | 31 (11.7) | 8 (25.8) | 11 (35.5) | 12 (38.7) | ||
Education | ||||||
 Primary school degree or lower | 16 (6.1) | 7 (43.8) | 4 (25.0) | 5 (31.3) | 3.364 (0.762) | |
 Junior school degree | 68 (25.8) | 22 (32.4) | 21 (30.9) | 25 (36.8) | ||
 High school degree | 139 (52.6) | 53 (38.1) | 45 (32.4) | 41 (29.5) | ||
 University degree or higher | 41 (15.5) | 12 (29.3) | 17 (41.5) | 12 (29.3) | ||
Number of children | ||||||
 1 Child or no child | 150 (56.8) | 50 (33.3) | 46 (30.7) | 54 (36.0) | 5.208 (0.267) | |
 2 Children | 96 (36.4) | 36 (37.5) | 37 (38.5) | 23 (24.0) | ||
 3 or more than 3 children | 18 (6.8) | 8 (44.4) | 4 (22.2) | 6 (33.3) | ||
Living with whom | ||||||
 Alone | 24 (9.1) | 8 (33.3) | 10 (41.7) | 6 (25.0) | 14.149 (0.028) | |
 With partner or housemaid | 125 (47.3) | 43 (34.4) | 45 (36.0) | 37 (29.6) | ||
 With child or children | 42 (15.9) | 22 (52.4) | 13 (31.0) | 7 (16.7) | ||
 With partner and Children | 73 (27.7) | 21 (28.8) | 19 (26.0) | 33 (45.2) | ||
Familiarity with technology | ||||||
 Not familiar with technology | 54 (20.5) | 28 (51.9) | 18 (33.3) | 8 (14.8) | 11.442 (0.022) | |
 Neutral | 146 (55.3) | 48 (32.9) | 47 (32.2) | 51 (34.9) | ||
 Familiar with technology | 64 (24.2) | 18 (28.1) | 22 (34.4) | 24 (37.5) | ||
Openness to technology | ||||||
 No (not open to technology) | 76 (28.8) | 50 (65.8) | 18 (23.7) | 8 (10.5) | 44.936 (< 0.001) | |
 Yes (open to technology) | 188 (71.2) | 44 (23.4) | 69 (36.7) | 75 (39.9) | ||
Self-efficacy in applying smart technologies | ||||||
 No | 96 (36.4) | 64 (66.7) | 23 (24.0) | 9 (9.4) | 67.940 (< 0.001) | |
|  |  Yes | 168 (63.6) | 30 (17.9) | 64 (38.1) | 74 (44.0) |  |