REVIEW
Sleep quality assessment of adults in care settings using non-wearable sleep trackers: Scoping review
Miyae Yamakawa PhD, RN,
Hee Sun Kang PhD, RN,
Huiting Wang MS, RN,
Rie Konno PhD, RN,
Miyae Yamakawa PhD, RN
Associate Professor
Department of Evidence-Based Clinical Nursing, Division of Health Sciences, Graduate School of Medicine, Osaka University, Suita, Japan
The Japan Centre for Evidence-Based Practice: An affiliated Centre of the Joanna Briggs Institute, Osaka, Japan
Search for more papers by this authorCorresponding Author
Hee Sun Kang PhD, RN
Professor
Red Cross College of Nursing, Chung-Ang University, Seoul, South Korea
Correspondence
Hee Sun Kang, PhD, RN, Red Cross College of Nursing, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul 156-756, South Korea.
Email: [email protected]
Search for more papers by this authorHuiting Wang MS, RN
Doctoral student
Department of Evidence-Based Clinical Nursing, Division of Health Sciences, Graduate School of Medicine, Osaka University, Suita, Japan
Search for more papers by this authorRie Konno PhD, RN
Professor
School of Nursing, Hyogo University of Health Sciences, Hyogo, Japan
Search for more papers by this authorMiyae Yamakawa PhD, RN,
Hee Sun Kang PhD, RN,
Huiting Wang MS, RN,
Rie Konno PhD, RN,
Miyae Yamakawa PhD, RN
Associate Professor
Department of Evidence-Based Clinical Nursing, Division of Health Sciences, Graduate School of Medicine, Osaka University, Suita, Japan
The Japan Centre for Evidence-Based Practice: An affiliated Centre of the Joanna Briggs Institute, Osaka, Japan
Search for more papers by this authorCorresponding Author
Hee Sun Kang PhD, RN
Professor
Red Cross College of Nursing, Chung-Ang University, Seoul, South Korea
Correspondence
Hee Sun Kang, PhD, RN, Red Cross College of Nursing, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul 156-756, South Korea.
Email: [email protected]
Search for more papers by this authorHuiting Wang MS, RN
Doctoral student
Department of Evidence-Based Clinical Nursing, Division of Health Sciences, Graduate School of Medicine, Osaka University, Suita, Japan
Search for more papers by this authorRie Konno PhD, RN
Professor
School of Nursing, Hyogo University of Health Sciences, Hyogo, Japan
Search for more papers by this authorFunding information: None.
Abstract
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.
- 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.
- 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.
CONFLICT OF INTEREST STATEMENT
The authors declare no conflict of interest.
Open Research
DATA AVAILABILITY STATEMENT
Data sharing is not applicable to this article as no new data were created or analyzed in this study.
Supporting Information
| Filename | Description |
|---|---|
| ijn13240-sup-0001-Supporting Information.docxWord 2007 document , 16.2 KB |
Data S1. Supporting Information |
Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.
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