Sleep quality assessment of adults in care settings using non‐wearable sleep trackers: Scoping review.

Aims: This review aimed to explore and map the literature on sleep quality assessments of adults in care settings using non‐wearable sleep trackers. Background: Sleep‐monitoring technology is advancing, and sleep quality assessments using non‐wearable sleep trackers can provide objective evidence for quality care. Design: This was a scoping review. Data sources Four electronic databases (PubMed, CINAHL, PsycInfo and Embase) were searched on 23 September 2022. Review methods: This review followed the Joanna Briggs Institute's methodology and used the PRISMA‐ScR checklist. Results: Thirty studies met our inclusion criteria. Sleep quality was assessed at home and in acute, non‐acute and long‐term care facilities. Physiological (heart rate and respiratory rate) and sleep parameters were assessed alone or in combination during patient care using non‐wearable sleep trackers. Sleep parameters representing sleep quality varied across studies. Real‐time monitoring with non‐wearable sleep‐tracking devices effectively shortened the length of hospital stay. However, studies investigating caregivers and nursing outcomes are lacking in the literature. Conclusion: Sleep quality assessments using non‐wearable sleep trackers may facilitate the provision of quality care in home‐based and clinical care settings. Future studies should focus on caregivers and care outcomes that could contribute to evidence‐based nursing practice for sleep care in adults. Summary statement: What is already known about this topic? Sleep quality (SQ) is a public health concern, and the prevalence of poor SQ is increasing.Sleep‐monitoring devices, including wearable and non‐wearable sleep trackers (NWS), are gaining popularity because they are convenient and non‐invasive.SQ can be objectively assessed according to sleep parameters using NWS that enables real‐time and continuous sleep monitoring.What this paper adds? This review provides an overview of physiological parameters (such as heart rate and respiratory rate) and sleep parameters (such as sleep efficiency) assessed using NWS in home‐based and clinical care settings.Patients' SQ and health conditions (including in states of health deterioration or pain) could be assessed according to physiological and sleep parameters using NWS. However, sleep parameters representing SQ varied across studies.NWS may help caregivers in providing care that considers sleep‐related factors.The implications of this paper: SQ assessments can be improved using NWS in home‐based and clinical care settings. However, protocols and guidelines for assessing SQ using NWS need to be developed.Caregivers need to be competent in understanding various sleep parameters, interpreting visualized NWS data and translating these data to provide quality care. [ABSTRACT FROM AUTHOR]