Introduction: Technology is an integral part of healthcare. With the rapid development of technological innovations that inform and support nurses, it is important to assess how these technologies may affect their workload particularly in rural contexts, where the workforce and supports may be limited. Methods: This literature review guided by Arksey and O’Malley’s scoping review framework describes the breadth of technologies which impact on nurses’ workload. Five databases (PubMed, CINAHL, PsycInfo, Web of Science, Business Source Complete) were searched. Thirty-five articles met the inclusion criteria. A data matrix was used to organize the findings. Findings: The technology interventions described in the articles covered diverse topics including: Cognitive care technologies; Healthcare providers’ technologies; Communication technologies; E-learning technologies; and Assistive technologies and were categorized as: Digital Information Solutions; Digital Education; Mobile Applications; Virtual Communication; Assistive Devices; and Disease diagnoses groups based on the common features. Conclusion: Technology can play an important role to support nurses working in rural areas, however, not all technologies have the same impact. While some technologies showed evidence to positively impact nursing workload, this was not universal. Technology solutions should be considered on a contextual basis and thought should be given when selecting technologies to support nursing workload.
There is growing recognition that the mental health and wellbeing of the LTCF workforce have been disproportionately impacted by COVID-19. Therefore, we sought to describe the experiences and challenges LTCF employees faced during COVID-19 in rural and northern communities and highlight factors affecting their ability to be resilient and provide high quality care. We conducted 53 qualitative interviews using zoom with LTCF care providers (care aides, nurses, social workers), staff (food service workers, recreation providers), and management between November 2021 and February 2021. Data was transcribed and thematic analysis undertaken. We will describe participants experiences stratified by LTCF employee type and highlight similarities and differences in participants experiences across geography and facility type (freestanding vs. co-located in hospital) and describe factors affecting well-being, job satisfaction, and retention. We will share an inventory of programs and strategies participants found useful to mitigate negative effects on their mental health and well-being.
The inclusion of potential treatment side effects, oncologist contact information, treatment intent and a well-laid out follow-up schedule were essential information needed by fps for an effective post-rt completion note. With these additions, the revised post-rt handover note showed significant improvement.
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