Table 1.
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 | |||||
Age |
9.3, df=6 (0.158) |
||||
18-34 | 55 (27%) | 21 (29%) | 21 (29%) | 20 (31%) | |
35-44 | 52 (25%) | 23 (32%) | 23 (32%) | 13 (20%) | |
45-54 | 56 (27%) | 18 (25%) | 18 (25%) | 14 (22%) | |
55 or older | 44 (21%) | 10 (14%) | 10 (14%) | 18 (28%) | |
Gender |
6.8, df=2 (0.033) |
||||
Female | 186 (90%) | 61 (85%) | 65 (93%) | 60 (92%) | |
Male | 14 (7%) | 9 (12%) | 1 (1%) | 4 (6%) | |
Other / No answer | 7 (3%) | 2 (3%) | 4 (6%) | 1 (1.5%) | c |
Ethnicity |
2.2, df=2 (0.329) |
||||
White | 158 (76%) | 51 (71%) | 57 (81%) | 50 (77%) | |
Other | 49 (24%) | 21 (29%) | 13 (19%) | 15 (23%) | |
Years of LTC experience |
18.5, df=12 (0.018) |
||||
Less than 5 years | 51 (25%) | 25 (35%) | 17 (19%) | 9 (14%) | |
6-10 years | 52 (25%) | 18 (25%) | 10 (25%) | 24 (37%) | |
11-15 years | 27 (13%) | 9 (12%) | 11 (13%) | 7 (11%) | |
16-20 years | 24 (12%) | 4 (6%) | 10 (15%) | 10 (15%) | |
More than 20 years | 53 (26%) | 16 (22%) | 22 (27%) | 15 (23%) | |
Role in LTC |
31.5, df=10 (<0.001) |
||||
Administrative/Management | 38 (18%) | 15 (21%) | 15 (21%) | 8 (12%) | |
Front Line Nursing Staffa | 31 (15%) | 14 (19%) | 11 (16%) | 6 (9%) | |
BSO leadsb | 62 (30%) | 7 (10%) | 21 (30%) | 34 (52%) | |
Allied Health | 56 (27%) | 28 (39%) | 16 (23%) | 12 (18%) | |
Medical | 9 (4%) | 4 (6%) | 3 (4%) | 0 | |
Other | 11 (5%) | 4 (6%) | 4 (5%) | 3 (5%) | |
LTC home characteristics | |||||
Number of beds |
3.0, df=8 (0.935) |
||||
Less than 50 beds | 14 (7%) | 4 (6%) | 5 (7%) | 5 (8%) | |
50-99 beds | 39 (19%) | 14 (19%) | 12 (17%) | 13 (20%) | |
100-149 beds | 59 (29%) | 23 (32%) | 17 (24%) | 19 (30%) | |
150-199 beds | 44 (21%) | 14 (19%) | 19 (27%) | 11 (17%) | |
More than 200 beds | 50 (24%) | 17 (23%) | 17 (24%) | 16 (25%) | |
Region |
9.1, df=4 (0.060) |
||||
Rural to small (<30,000) | 46 (22%) | 16 (22%) | 14 (20%) | 16 (25%) | |
Medium (30,000 - <100,000) | 61 (30%) | 25 (35%) | 26 (37%) | 10 (16%) | |
Large urban (>100,000) | 99 (48%) | 31 (43%) | 30 (43%) | 38 (59%) | |
Ownership status |
5.2, df=6 (0.514) |
||||
Municipal | 59 (29%) | 18 (25%) | 24 (34%) | 17 (27%) | |
Not-for-profit | 65 (32%) | 27 (38%) | 18 (26%) | 20 (31%) | |
For-profit | 73 (35%) | 22 (31%) | 26 (38%) | 25 (39%) | |
I do not know | 9 (4%) | 5 (7%) | 2 (3%) | 2 (3%) | c |
COVID-19 outbreaks |
3.3, df=4 (0.511) |
||||
Zero | 45 (22%) | 13 (18%) | 15 (21%) | 17 (27%) | |
One or two | 88 (42%) | 31 (43%) | 34 (49%) | 23 (36%) | |
Three or more | 73 (36%) | 28 (39%) | 21 (30%) | 24 (38%) |
aRegistered nurses, registered practical nurses, or personal support workers. bBSO leads are mostly front-line nursing staff, but can occasionally be allied health clinicians. c Row excluded from chi-sqaured analysis due to small cells