ArticleJournal of intensive care2017
Use of wearable devices for post-discharge monitoring of ICU patients: a feasibility study.
Article in Journal of intensive care, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 26 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Wearable Technology for Hospital Inpatients
Use of Fitbit Charge 2 in Hospitalized General Medicine Patients to Monitor Health Outcomes
Who cites it
26 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Evaluating the Validity and Utility of Wearable Technology for Continuously Monitoring Patients in a Hospital Setting: Systematic Review.JMIR mHealth and uHealth · 2021Pooled it
- Wearable Sleep and Circadian Monitoring in Intensive Care Nursing: A Scoping Review.Nursing in critical care · 2026Article
- Effects of a multicomponent sleep enhancement protocol on delirium incidence in elderly critically ill surgical patients: a randomized controlled trial.Journal of intensive care · 2025Article
- A retrospective cross-sectional study showing wearable smartwatches enhance patient safety and efficiency in the intensive care unit.Communications medicine · 2025Article
- Wearable devices for patient monitoring in the intensive care unit.Intensive care medicine experimental · 2025Review
- Machine Learning Models to Identify Individuals With Imminent Suicide Risk Using a Wearable Device: A Pilot Study.Psychiatry investigation · 2025Article
- Economic Perspective of the Use of Wearables in Health Care: A Systematic Review.Mayo Clinic proceedings. Digital health · 2024Review
- Characterization and Validation of Flexible Dry Electrodes for Wearable Integration.Sensors (Basel, Switzerland) · 2023Article
- Heart Rate Measurement Accuracy of Fitbit Charge 4 and Samsung Galaxy Watch Active2: Device Evaluation Study.JMIR formative research · 2022Article
- Validation of Heart Rate Extracted From Wrist-Based Photoplethysmography in the Perioperative Setting: Prospective Observational Study.JMIR cardio · 2021Article
- Challenges and Solutions in translating sepsis guidelines into practice in resource-limited settings.Translational pediatrics · 2021Review
- A Wearable System with Embedded Conductive Textiles and an IMU for Unobtrusive Cardio-Respiratory Monitoring.Sensors (Basel, Switzerland) · 2021Article
- TOP-Net Prediction Model Using Bidirectional Long Short-term Memory and Medical-Grade Wearable Multisensor System for Tachycardia Onset: Algorithm Development Study.JMIR medical informatics · 2021Article
- Using Consumer-Grade Physical Activity Trackers to Measure Frailty Transitions in Older Critical Care Survivors: Exploratory Observational Study.JMIR aging · 2021Article
- Construction and Application of a Medical-Grade Wireless Monitoring System for Physiological Signals at General Wards.Journal of medical systems · 2020Article
- Consumer-Grade Wearable Device for Predicting Frailty in Canadian Home Care Service Clients: Prospective Observational Proof-of-Concept Study.Journal of medical Internet research · 2020Article
- Feasibility of a Sensor-Based Technological Platform in Assessing Gait and Sleep of In-Hospital Stroke and Incomplete Spinal Cord Injury (iSCI) Patients.Sensors (Basel, Switzerland) · 2020Article
- Usability of Wearable Devices to Remotely Monitor Sleep Patterns Among Patients With Ischemic Heart Disease: Observational Study.JMIR formative research · 2020Article
- Activity-Aware Wearable System for Power-Efficient Prediction of Physiological Responses.Sensors (Basel, Switzerland) · 2019Article
- Achieving affordable critical care in low-income and middle-income countries.BMJ global health · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWearable devices generate signals detecting activity, sleep, and heart rate, all of which could enable detailed and near-continuous characterization of recovery following critical illness.
methodsTo determine the feasibility of using a wrist-worn personal fitness tracker among patients recovering from critical illness, we conducted a prospective observational study of a convenience sample of 50 stable ICU patients. We assessed device wearability, the extent of data capture, sensitivity and specificity for detecting heart rate excursions, and correlations with questionnaire-derived sleep quality measures.
resultsWearable devices were worn over a 24-h period, with excellent capture of data. While specificity for the detection of tachycardia was high (98.8%), sensitivity was low to moderate (69.5%). There was a moderate correlation between wearable-derived sleep duration and questionnaire-derived sleep quality (
conclusionsWe found that wearable devices could be worn by patients recovering from critical illness and could generate useful data for the majority of patients with little adverse effect. Further development and study are needed to better define and enhance the role of wearables in the monitoring of post-ICU recovery.
trial registrationClinicaltrials.gov, NCT02527408.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.