SynthesisRespiratory care2015
Use of Accelerometry to Monitor Physical Activity in Critically Ill Subjects: A Systematic Review.
Synthesis in Respiratory care, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 4 of them syntheses 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
23 citing papers in PubMed, 4 syntheses or guidelines pooled it, 53 citations in OpenAlex.
- Quality of mobility measures among individuals with acquired brain injury: an umbrella review.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2022Pooled it
- Actigraphy to Measure Physical Activity in the Intensive Care Unit: A Systematic Review.Journal of intensive care medicine · 2020Pooled it
- How much do hospitalized adults move? A systematic review and meta-analysis.Applied nursing research : ANR · 2020Pooled it
- Actigraphy to Evaluate Sleep in the Intensive Care Unit. A Systematic Review.Annals of the American Thoracic Society · 2018Pooled it
- Ambient intelligence-based framework for quantitative evaluation of cell culture operations to support standardization and training.Regenerative therapy · 2026Article
- Accelerometer-derived movement features as predictive biomarkers for muscle atrophy in neurocritical care: a prospective cohort study.Critical care (London, England) · 2024Observational
- Diurnal Pain Classification in Critically Ill Patients using Machine Learning on Accelerometry and Analgesic Data.IEEE International Conference on Bioinformatics and Biomedicine workshops. IEEE International Conference on Bioinformatics and Biomedicine · 2023Article
- Identification and Quantification of Activities Common to Intensive Care Patients; Development and Validation of a Dual-Accelerometer-Based Algorithm.Sensors (Basel, Switzerland) · 2023Article
- Informing the development of an outcome set and banks of items to measure mobility among individuals with acquired brain injury using natural language processing.BMC neurology · 2022Article
- Potentials and Challenges of Pervasive Sensing in the Intensive Care Unit.Frontiers in digital health · 2022Review
- Decoding accelerometry for classification and prediction of critically ill patients with severe brain injury.Scientific reports · 2021Article
- Activity Levels in Survivors of the Intensive Care Unit.Physical therapy · 2021Observational
- Standardisation, multi-measure, data quality and trending: A qualitative study on multidisciplinary perspectives to improve intensive care early mobility monitoring.Intensive & critical care nursing · 2021Article
- Review
- Visualisation of limb movements by accelerometers in sedated patients.Critical care (London, England) · 2020Article
- Quantifying Mobility in the ICU: Comparison of Electronic Health Record Documentation and Accelerometer-Based Sensors to Clinician-Annotated Video.Critical care explorations · 2020Article
- Use of Accelerometry for Long Term Monitoring of Stroke Patients.IEEE journal of translational engineering in health and medicine · 2019Article
- Subjective and Objective Measures of Daytime Activity and Sleep Disturbance in Retinitis Pigmentosa.Optometry and vision science : official publication of the American Academy of Optometry · 2018Article
- Feasibility of Continuous Actigraphy in Patients in a Medical Intensive Care Unit.American journal of critical care : an official publication, American Association of Critical-Care Nurses · 2017Article
- Measuring Patient Mobility in the ICU Using a Novel Noninvasive Sensor.Critical care medicine · 2017Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 1 country.
Funding
Abstract
Medical management of critically ill patients often incorporates prolonged bed rest, which, in combination with the underlying illness, results in global muscle weakness and atrophy. Recent evidence has demonstrated improvements in clinical and functional outcomes when exercise and physical activity are incorporated early in the management of ICU patients. Accurate monitoring of ICU patients' physical activity is essential for proper prescription and escalation of activity levels. Accelerometry is a technique used to measure physical activity and has been validated in several ambulatory populations. However, its use in critically ill, hospitalized patients with poor functional mobility is limited. In this review, we focus on the few studies assessing the use of accelerometry to measure physical activity in the care of mechanically ventilated adult ICU patients. The selected literature demonstrates that accelerometry correlates well with direct observation in reporting frequency and duration of various types of physical activity (rolling, sitting up, transferring, walking), but cannot differentiate various intensities of activity or whether movements are voluntary or involuntary with respect to effort. Thus, although accelerometry may serve as a useful adjunct in reporting temporality of physical activity in critically ill patients, other objective information may be needed to accurately record frequency, duration, and intensity of activity in this population.
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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.