Assessing the Use of Welfare Technology in Social Care for Older Adults Through Assistant #nurses’ Perceptions of Upskilling and Care Delivery Outcomes: Cross-Sectional Study
Background: The implementation of welfare technologies, a broad array of technologies that have the potential to maintain or improve individuals’ safety, independence, and participation, has increased rapidly in recent years, offering new ways of delivering care. However, studies of welfare technology use in the social care sector are scarce. Objective: To explore the use of different types of welfare technologies, and training in the use of these technologies, and to identify their associations with outcomes for care recipients and frontline care workers in the social care of older adults. Methods: A cross-sectional survey based on a nation-wide randomised sample of assistant #nurses employed in social care for older adults in Sweden (N=1163; response rate 23%). Dependent variables were outcomes for care recipients (continuity of care, participation, reduction in loneliness) and upskilling for frontline care workers. The exposure variables were types of welfare technologies and training of using such technologies. Associations between exposure and dependent variables were assessed through logistic regression models. Results: According to the perceptions of care workers, interactive technologies were significantly positively associated with continuity of care (OR 1.58; 95% CI 1.15-2.18), participation (OR 2.01; 95% CI 1.48-2.74), and reduction in loneliness among care recipients (OR 1.92; 95% CI 1.41-2.62). Additionally, there was a significant positive association between interactive technologies and upskilling of care workers (OR 2.44; 95% CI 1.58-3.79). Despite the benefits of welfare technology, the effects can be negative, as shown by the findings on the use of digital documentation (OR 0.62; 95% CI 0.46-0.84), and digital locks or camera/sensors (OR 0.69; 95% CI 0.49-0.96), and the lower likelihood of participation. Training in the use of welfare technology was significantly associated with outcomes for care recipients (continuity of care, OR 2.02; 95% CI 1.53-2.66; participation OR 1.91; 95% CI 1.45-2.51; reduction in loneliness OR 1.74; 95% CI 1.31-2.30), as well as upskilling of care workers (OR 4.59; 95% CI 3.28-6.42). The interaction analyses have shown that participants who had not received any training but used digital documentation reported favourable views on continuity of care and upskilling, whereas participants with training expressed concerns about participation and addressing loneliness. Conclusions: The potential outcomes of welfare technology use in the social care for older adults can vary with the types of technologies used. Care workers hold positive perceptions toward interactive technologies to improve care delivery outcomes and skill development. The findings on training and improved outcomes suggest that investing resources to promote training can reinforce positive experiences. While training had a positive impact, the interactions effects of digital documentation and training were mixed.
