Aims and objectives To identify key areas of competence for digitalisation in healthcare settings, describe healthcare professionals’ competencies in these areas and identify factors related to their competence. Background Digitalisation requires changes in healthcare practices, policies and actions to revise job expectations and workflows. The aspects of patient safety and integration of digitalisation into the professional context necessitate an assessment of healthcare professionals’ competencies in digitalisation. Design Systematic review. Methods A systematic review was conducted following Center of Reviews and Dissemination guidelines, including application of a PRISMA statement. Four databases—CINAHL (EBSCO), MEDLINE (Ovid), Web of Science and Academic Search Premiere (EBSCO)—were searched for relevant original peer‐reviewed studies published between 2012–2017. Twelve were chosen for final analysis: five quantitative studies and seven qualitative studies, which were, respectively, subjected to narrative and thematic synthesis. Results Key competence areas regarding digitalisation from a healthcare perspective identified encompass knowledge of digital technology and the digital skills required to provide good patient care, including associated social and communication skills, and ethical considerations of digitalisation in patient care. Healthcare professionals need the motivation and willingness to acquire experience of digitalisation in their professional context. Collegial and organisational support appear to be essential factors for building positive experiences of digitalisation for healthcare professionals. Conclusion Healthcare organisations should both pay attention to the social environment of a workplace and create a positive atmosphere if they want to improve the response to digitalisation. The successful implementation of new technology requires organisational and collegial support. Relevance to clinical practice Recommendations for clinical practice include the following: development of competence in digitalisation by healthcare professionals when using technological equipment to minimise errors; provision of sufficient resources, equipment and room for technology usage; and provision of regular education that considers the participants’ competencies.

Aim Sleep disturbances in patients with Alzheimer's disease have not been systematically evaluated, because sleep monitoring has proved difficult. Our goal was to quantitatively characterize sleep disturbances in patients with Alzheimer's disease. Methods The present study was a cross‐sectional descriptive study, carried out in dementia care units in Japan. Participants were 63 patients with Alzheimer's disease (mean age 77.6 ± 8.0 years) with severe behavioral and psychological symptoms of dementia. A non‐wearable actigraphy device placed under patient mattresses was used to measure sleep parameters: sleep time, time in bed, number of wakings and number of times they left the bed. Cut‐off points for sleep parameters were based on the interquartile range of the data. Results Median nocturnal sleep time was 6.2 h (interquartile range 2.7 h). Median frequency of waking was eight times (5)/night. Median frequency of leaving the bed was five times (6), with a maximum of 31/night. We identified three types of sleep disturbance: frequent bed leaving, short sleep time and excessive sleep time. Multiple linear regression showed that duration of dementia was a significant predictor of frequent bed leaving at night (P = 0.042). Conclusions Frequent bed leaving at night reflects severe sleep deprivation in patients with mild‐to‐severe Alzheimer's disease. Safety measures are required to prevent accidents related to sleep disturbances, regardless of dementia severity. Geriatr Gerontol Int 2019; 19: 130–134.