Evidence map›Paper›PMID 29358448›Full record

Observational studyBMJ open2018

Investigating the application of motion accelerometers as a sleep monitoring technique and the clinical burden of the intensive care environment on sleep quality: study protocol for a prospective observational study in Australia.

Lori J Delaney, Marian J Currie, Hsin-Chia Carol Huang, Edward Litton, Bradley Wibrow, Violeta Lopez, Frank Van Haren

Registry-linked trialOpen access · goldAbstract readObservational Study
In one paragraph

Observational study in BMJ open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04129918 (Effects of Light and Sound Modification on Sleep Quality and Circadian Rhythm in the Medical Intensive Care Unit Patients), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 23% of its field
1 · What the graph read from 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.

2 · The registry

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.

NCT04129918 nacompletednot on this mapstarted 2020, after this paper: background citation

Effects of Light and Sound Modification on Sleep Quality and Circadian Rhythm in the Medical Intensive Care Unit Patients

TypeinterventionalSponsorShin Kong Wu Ho-Su Memorial HospitalRan2020 to 2020Enrolled112ConditionsIntensive Care Unit, Ventilator, Sleep Quality, Circadian RhythmArmslight and sound modification (earplugs and eye masks)
3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 16 citations in OpenAlex.

  1. Observational
  2. Observational
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 5 institutions in 2 countries.

Lori J DelaneyFaculty of Nursing, University of Canberra, Canberra, Australia.ORCID 0000-0003-3316-1049
Marian J CurrieFaculty of Nursing, University of Canberra, Canberra, Australia.
Hsin-Chia Carol HuangCollege of Health and Medicine; Australian National University, Canberra, Australia.
Edward LittonIntensive Care Unit, St John of God Subiaco Hospital, Perth, Australia.
Bradley WibrowIntensive Care Medicine, Sir Charles Gairdner Hospital, Nedlands, Australia.
Violeta LopezAlice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, Singapore, Singapore.
Frank Van HarenIntensive Care Unit, Canberra Hospital, Canberra, Australia.
Australian National University · AUClinical Nutrition Research Centre · SGSir Charles Gairdner Hospital · AUSt John of God Subiaco Hospital · AUUniversity of Canberra · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSleep is a state of quiescence that facilitates the significant restorative processes that enhance individuals' physiological and psychological well-being. Patients admitted to the intensive care unit (ICU) experience substantial sleep disturbance. Despite the biological importance of sleep, sleep monitoring does not form part of standard clinical care for critically ill patients. There exists an unmet need to assess the feasibility and accuracy of a range of sleep assessment techniques that have the potential to allow widespread implementation of sleep monitoring in the ICU. KEY MEASURES: The coprimary outcome measures of this study are to: determine the accuracy and feasibility of motion accelerometer monitoring (ie, actigraphy) and subjective assessments of sleep (nursing-based observations and patient self-reports) to the gold standard of sleep monitoring (ie, polysomnography) in evaluating sleep continuity and disturbance. The secondary outcome measures of the study will include: (1) the association between sleep disturbance and environmental factors (eg, noise, light and clinical interactions) and (2) to describe the sleep architecture of intensive care patients. METHODS AND ANALYSIS: A prospective, single centre observational design with a within subjects' assessment of sleep monitoring techniques. The sample will comprise 80 adults (aged 18 years or more) inclusive of ventilated and non-ventilated patients, admitted to a tertiary ICU with a Richmond Agitation-Sedation Scale score between +2 (agitated) and -3 (moderate sedation) and an anticipated length of stay >24 hours. Patients' sleep quality, total sleep time and sleep fragmentations will be continuously monitored for 24 hours using polysomnography and actigraphy. Behavioural assessments (nursing observations) and patients' self-reports of sleep quality will be assessed during the 24-hour period using the Richards-Campbell Sleep Questionnaire, subjective sleepiness evaluated via the Karolinska Sleepiness Scale, along with a prehospital discharge survey regarding patients' perception of sleep quality and disturbing factors using the Little Sleep Questionnaire will be undertaken. Associations between sleep disturbance, noise and light levels, and the frequency of clinical interactions will also be investigated. Sound and luminance levels will be recorded at 1 s epochs via Extech SDL600 and SDL400 monitoring devices. Clinical interactions will be logged via the electronic patient record system Metavision which documents patient monitoring and clinical care. ETHICS AND DISSEMINATION: The relevant institutions have approved the study protocol and consent procedures. The findings of the study will contribute to the understanding of sleep disturbance, and the ability to implement sleep monitoring methods within ICUs. Understanding the contribution of a clinical environment on sleep disturbance may provide insight into the need to address clinical environmental issues that may positively influence patient outcomes, and could dispel notions that the environment is a primary factor in sleep disturbance. The research findings will be disseminated via presentations at national and international conferences, proceedings and published articles in peer-reviewed journals. TRIAL REGISTRATION NUMBER: ACTRN12615000945527; Pre-results.

Indexed as

Research DesignSleepAccelerometryAustraliaCritical IllnessHumansIntensive Care UnitsMonitoring, PhysiologicPolysomnographyProspective StudiesSelf ReportSeverity of Illness IndexSleep Wake Disordersactigraphyclinical environmentintensive carepolysomnographysleep medicine

Identifiers

PMID29358448
PMCPMC5781106
OpenAlexW2797541484

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.