Table 2. Models for binary logistic regression exploring associations between welfare technologies, training, and potential outcomes for frontline care workers and care recipients.

Variables	Continuity of care	Participation	Reduce loneliness	Upskilling
Covariates, ORa (95% CI)
Age (years)	1.02 (1.00‐1.03)b	1.00 (0.99‐1.02)	0.99 (0.98‐1.02)	1.03 (1.01‐1.05)b
Female	0.58 (0.32‐1.02)	1.17 (0.68‐2.02)	0.98 (0.57‐1.69)	0.48 (0.23‐0.99)b
Workplace care home	1.07 (0.79‐1.43)	1.03 (0.77‐1.38)	1.31 (0.97‐1.76)	0.97 (0.67‐1.39)
Work experience (years), OR (95% CI)
≥15	Ref.c	Ref.	Ref.	Ref.
10‐14	1.86 (1.18‐2.91)b	1.63 (1.06‐2.49)b	1.61 (1.06‐2.46)b	1.46 (0.85‐2.50)
<10	2.25 (1.28‐3.96)b	1.39 (0.82‐2.38)	1.96 (1.16‐3.31)b	1.75 (0.89‐3.44)
Education, OR (95% CI)
Upper secondary <2 years	Ref.	Ref.	Ref.	Ref.
Upper secondary 3 years	0.94 (0.69‐1.28)	0.88 (0.66‐1.20)	0.96 (0.71‐1.31)	1.32 (0.91‐1.91)
Postsecondary	0.98 (0.66‐1.48)	0.90 (0.61‐1.33)	0.93 (0.62‐1.38)	1.24 (0.75‐2.05)
Types of technologies, OR (95% CI)
Digital locks and cameras or sensors	0.79 (0.58‐1.08)	0.62 (0.46‐0.84)b	0.77 (0.57‐1.05)	1.05 (0.73‐1.49)
Digital support in medicine	1.29 (0.96‐1.75)	1.17 (0.87‐1.56)	1.13 (0.83‐1.51)	1.59 (1.08‐2.35)b
Interactive technologies	1.58 (1.15‐2.18)b	2.01 (1.48‐2.74)b	1.92 (1.41‐2.62)b	2.44 (1.58‐3.79)b
Digital documentation	1.33 (0.95‐1.85)	0.69 (0.49‐0.96)b	0.73 (0.52‐1.02)	2.08 (1.45‐2.99)b
Digital communication with colleagues	0.99 (0.72‐1.38)	1.01 (0.73‐1.38)	0.82 (0.59‐1.14)	1.28 (0.83‐1.97)
Training, OR (95% CI)
Training in the use of welfare technologies	2.02 (1.53‐2.66)b	1.91 (1.45‐2.51)b	1.74 (1.31‐2.30)b	4.59 (3.28‐6.42)b
−2LLd	1260.596	1297.035	1267.204	938.650
R 2 CS e	0.075	0.069	0.058	0.175
Nagelkerke R2Nf	0.100	0.092	0.079	0.260

^aOR: odds ratio.

^bStatistical significance at the P<.05 level.

^cRef.: reference.

^d−2LL: deviance.

^eR2_CS: Cox and Snell R2.

^fR2_N: Nagelkerke R2.