The Use and Utility of Wearable Devices for Tracking Sleep and Activity in Inpatient Mental Health Settings: Protocol for a Rapid Review (Preprint)

<sec> <title>BACKGROUND</title> Wearable devices offer an opportunity to objectively monitor and capture sleep and activity in psychiatric inpatient settings, where traditional approaches often rely on subjective reporting or staff observation, both of which have inherent flaws. Technologies such as Fitbit, Garmin, Oura Ring, GENEActiv, Empatica, and WHOOP (among others) have been used to passively collect physiological data that may inform care planning and clinical decision-making. Despite growing interest, the extent to which these wearables are feasible, acceptable, and useful in inpatient mental health settings remains unclear. Synthesizing this evidence is essential to inform their potential integration into psychiatric care. </sec> <sec> <title>OBJECTIVE</title> This study aims to conduct a rapid review to examine the current use, utility, feasibility, and implementation of wearable devices for tracking sleep and/or activity in inpatient mental health settings. To date, no review has examined inpatient settings specifically. </sec> <sec> <title>METHODS</title> A rapid review will be conducted using Cochrane Rapid Review methods. Peer-reviewed literature will be searched in four databases: (1) PubMed, (2) Embase, (3) PsycInfo, and (4) CINAHL. Studies will be included if they report on the use of wearable devices in inpatient psychiatric settings and evaluate outcomes related to feasibility, acceptability, clinical utility, or implementation. Data extraction will be conducted using a standardized extraction template, and findings will be synthesized narratively and via descriptive statistics. </sec> <sec> <title>RESULTS</title> Database searches are currently underway. The review is expected to be completed by June 2026. A manuscript detailing the findings of this review will be published thereafter. </sec> <sec> <title>CONCLUSIONS</title> This rapid review will provide timely evidence to support the integration of wearable technologies into psychiatric inpatient settings. Findings will inform future research and clinical practice focused on the use of wearables for sleep and activity monitoring, contributing to more responsive and data-informed mental health care. </sec> <sec> <title>INTERNATIONAL REGISTERED REPORT</title> PRR1-10.2196/82290 </sec>

Authors

Publication Details

Published
2025-08-12
DOI
https://doi.org/10.2196/preprints.82290
Primary Topic
Digital Mental Health Interventions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Use and Utility of Wearable Devices for Tracking Sleep and Activity in Inpatient Mental Health Settings: Protocol for a Rapid Review (Preprint)

Karishini Ramamoorthi, Nicholas H. Neufeld, Hwayeon Danielle Shin, Justin T. Baker et al.
Digital Mental Health Interventions
article

The Use and Utility of Wearable Devices for Tracking Sleep and Activity in Inpatient Mental Health Settings: Protocol for a Rapid Review (Preprint)

Karishini Ramamoorthi, Nicholas H. Neufeld, Hwayeon Danielle Shin, Justin T. Baker, Iman Kassam, Michelle A. Patriquin, Benjamin D. Rosen, Gillian Strudwick
article en

Abstract

<sec> <title>BACKGROUND</title> Wearable devices offer an opportunity to objectively monitor and capture sleep and activity in psychiatric inpatient settings, where traditional approaches often rely on subjective reporting or staff observation, both of which have inherent flaws. Technologies such as Fitbit, Garmin, Oura Ring, GENEActiv, Empatica, and WHOOP (among others) have been used to passively collect physiological data that may inform care planning and clinical decision-making. Despite growing interest, the extent to which these wearables are feasible, acceptable, and useful in inpatient mental health settings remains unclear. Synthesizing this evidence is essential to inform their potential integration into psychiatric care. </sec> <sec> <title>OBJECTIVE</title> This study aims to conduct a rapid review to examine the current use, utility, feasibility, and implementation of wearable devices for tracking sleep and/or activity in inpatient mental health settings. To date, no review has examined inpatient settings specifically. </sec> <sec> <title>METHODS</title> A rapid review will be conducted using Cochrane Rapid Review methods. Peer-reviewed literature will be searched in four databases: (1) PubMed, (2) Embase, (3) PsycInfo, and (4) CINAHL. Studies will be included if they report on the use of wearable devices in inpatient psychiatric settings and evaluate outcomes related to feasibility, acceptability, clinical utility, or implementation. Data extraction will be conducted using a standardized extraction template, and findings will be synthesized narratively and via descriptive statistics. </sec> <sec> <title>RESULTS</title> Database searches are currently underway. The review is expected to be completed by June 2026. A manuscript detailing the findings of this review will be published thereafter. </sec> <sec> <title>CONCLUSIONS</title> This rapid review will provide timely evidence to support the integration of wearable technologies into psychiatric inpatient settings. Findings will inform future research and clinical practice focused on the use of wearables for sleep and activity monitoring, contributing to more responsive and data-informed mental health care. </sec> <sec> <title>INTERNATIONAL REGISTERED REPORT</title> PRR1-10.2196/82290 </sec>

Openalex Percentile: Top 78%
Digital Mental Health Interventions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.