ArticleBMJ open respiratory research2020
Characterisation of ICU sleep by a commercially available activity tracker and its agreement with patient-perceived sleep quality.
Article in BMJ open respiratory research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 17 citations in OpenAlex.
- Low-dose clonidine infusion to improve sleep in postoperative patients in the high-dependency unit. A randomised placebo-controlled single-centre trial.Intensive care medicine · 2024Trial
- Wearable Sleep and Circadian Monitoring in Intensive Care Nursing: A Scoping Review.Nursing in critical care · 2026Article
- Sleep Quality and Delirium Occurrence in Intensive Care Unit Patients: A Prospective Observational Study.Nursing in critical care · 2026Observational
- The feasibility and reliability of actigraphy to monitor sleep in intensive care patients: an observational study.Critical care (London, England) · 2021Observational
Corrections and comments
- Erratum issued
Authors and funding
7 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundA low-cost, quantitative method to evaluate sleep in the intensive care unit (ICU) that is both feasible for routine clinical practice and reliable does not yet exist. We characterised nocturnal ICU sleep using a commercially available activity tracker and evaluated agreement between tracker-derived sleep data and patient-perceived sleep quality. PATIENTS AND
methodsA prospective cohort study was performed in a 40-bed ICU at a community teaching hospital. An activity tracker (Fitbit Charge 2) was applied for up to 7 ICU days in English-speaking adults with an anticipated ICU stay ≥2 days and without mechanical ventilation, sleep apnoea, delirium, continuous sedation, contact isolation or recent anaesthesia. The Richards-Campbell Sleep Questionnaire (RCSQ) was administered each morning by a trained investigator.
resultsAvailable activity tracker-derived data for each ICU study night (20:00-09:00) (total sleep time (TST), number of awakenings (#AW), and time spent light sleep, deep sleep and rapid eye movement (REM) sleep) were downloaded and analysed. Across the 232 evaluated nights (76 patients), TST and RCSQ data were available for 232 (100%), #AW data for 180 (78%) and sleep stage data for 73 (31%). Agreement between TST (349±168 min) and RCSQ Score was moderate and significant (r=0.34; 95% CI 0.18 to 0.48). Agreement between #AW (median (IQR), 4 (2-9)) and RCSQ Score was negative and non-significant (r=-0.01; 95% CI -0.19 to 0.14). Agreement between time (min) spent in light (259 (182 to 328)), deep (43±29), and REM (47 (28-72)) sleep and RCSQ Score was moderate but non-significant (light (r=0.44, 95% CI -0.05 to 0.36); deep sleep (r=0.44, 95% CI -0.11 to 0.15) and REM sleep (r=0.44; 95% CI -0.21 to 0.21)).
conclusionsA Fitbit Charge 2 when applied to non-intubated adults in an ICU consistently collects TST data but not #AW or sleep stage data at night. The TST moderately correlates with patient-perceived sleep quality; a correlation between either #AW or sleep stages and sleep quality was not found.
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