| Total (N = 207) | Not familiar with DIT (n = 72) | Familiar with the DIT (n = 70) | Used the DIT (n = 65) | Pearson chi2 (p-value) |
---|---|---|---|---|---|
Participant characteristics | Â | Â | Â | Â | Â |
Age | Â | Â | Â | Â | 9.3, df=6 (0.158) |
18-34 | 55 (27%) | 21 (29%) | 21 (29%) | 20 (31%) | Â |
35-44 | 52 (25%) | 23 (32%) | 23 (32%) | 13 (20%) | Â |
45-54 | 56 (27%) | 18 (25%) | 18 (25%) | 14 (22%) | Â |
55 or older | 44 (21%) | 10 (14%) | 10 (14%) | 18 (28%) | Â |
Gender | Â | Â | Â | Â | 6.8, df=2 (0.033) |
Female | 186 (90%) | 61 (85%) | 65 (93%) | 60 (92%) | Â |
Male | 14 (7%) | 9 (12%) | 1 (1%) | 4 (6%) | Â |
Other / No answer | 7 (3%) | 2 (3%) | 4 (6%) | 1 (1.5%) | c |
Ethnicity | Â | Â | Â | Â | 2.2, df=2 (0.329) |
White | 158 (76%) | 51 (71%) | 57 (81%) | 50 (77%) | Â |
Other | 49 (24%) | 21 (29%) | 13 (19%) | 15 (23%) | Â |
Years of LTC experience | Â | Â | Â | Â | 18.5, df=12 (0.018) |
Less than 5 years | 51 (25%) | 25 (35%) | 17 (19%) | 9 (14%) | Â |
6-10 years | 52 (25%) | 18 (25%) | 10 (25%) | 24 (37%) | Â |
11-15 years | 27 (13%) | 9 (12%) | 11 (13%) | 7 (11%) | Â |
16-20 years | 24 (12%) | 4 (6%) | 10 (15%) | 10 (15%) | Â |
More than 20 years | 53 (26%) | 16 (22%) | 22 (27%) | 15 (23%) | Â |
Role in LTC | Â | Â | Â | Â | 31.5, df=10 (<0.001) |
Administrative/Management | 38 (18%) | 15 (21%) | 15 (21%) | 8 (12%) | Â |
Front Line Nursing Staffa | 31 (15%) | 14 (19%) | 11 (16%) | 6 (9%) | Â |
BSO leadsb | 62 (30%) | 7 (10%) | 21 (30%) | 34 (52%) | Â |
Allied Health | 56 (27%) | 28 (39%) | 16 (23%) | 12 (18%) | Â |
Medical | 9 (4%) | 4 (6%) | 3 (4%) | 0 | Â |
Other | 11 (5%) | 4 (6%) | 4 (5%) | 3 (5%) | Â |
LTC home characteristics | Â | Â | Â | Â | Â |
Number of beds | Â | Â | Â | Â | 3.0, df=8 (0.935) |
Less than 50 beds | 14 (7%) | 4 (6%) | 5 (7%) | 5 (8%) | Â |
50-99 beds | 39 (19%) | 14 (19%) | 12 (17%) | 13 (20%) | Â |
100-149 beds | 59 (29%) | 23 (32%) | 17 (24%) | 19 (30%) | Â |
150-199 beds | 44 (21%) | 14 (19%) | 19 (27%) | 11 (17%) | Â |
More than 200 beds | 50 (24%) | 17 (23%) | 17 (24%) | 16 (25%) | Â |
Region | Â | Â | Â | Â | 9.1, df=4 (0.060) |
Rural to small (<30,000) | 46 (22%) | 16 (22%) | 14 (20%) | 16 (25%) | Â |
Medium (30,000 - <100,000) | 61 (30%) | 25 (35%) | 26 (37%) | 10 (16%) | Â |
Large urban (>100,000) | 99 (48%) | 31 (43%) | 30 (43%) | 38 (59%) | Â |
Ownership status | Â | Â | Â | Â | 5.2, df=6 (0.514) |
Municipal | 59 (29%) | 18 (25%) | 24 (34%) | 17 (27%) | Â |
Not-for-profit | 65 (32%) | 27 (38%) | 18 (26%) | 20 (31%) | Â |
For-profit | 73 (35%) | 22 (31%) | 26 (38%) | 25 (39%) | Â |
I do not know | 9 (4%) | 5 (7%) | 2 (3%) | 2 (3%) | c |
COVID-19 outbreaks | Â | Â | Â | Â | 3.3, df=4 (0.511) |
Zero | 45 (22%) | 13 (18%) | 15 (21%) | 17 (27%) | Â |
One or two | 88 (42%) | 31 (43%) | 34 (49%) | 23 (36%) | Â |
Three or more | 73 (36%) | 28 (39%) | 21 (30%) | 24 (38%) | Â |