Trial reportScientific reports2026
Correlation of the Thai Richards-Campbell Sleep Questionnaire and actigraphy with polysomnography for sleep assessment in ICU patients.
Trial report in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04417556 (Validation of Sleep Assessment Tools in the Surgical Intensive Care Unit), which is not on this map. Cited by 1 paper.
What it found
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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.
Validation of Sleep Assessment Tools in the Surgical Intensive Care Unit: Comparison of Thai Version of Richards-Campbell Sleep Questionnaire, Actigraphy, and Polysomnography
Who cites it
1 citing paper in PubMed.
- Wearable Sleep and Circadian Monitoring in Intensive Care Nursing: A Scoping Review.Nursing in critical care · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Polysomnography (PSG) is considered as the gold-standard tool for sleep measurement. Other simpler instruments such as actigraphy and the Richards-Campbell Sleep Questionnaire (RCSQ), have been used as alternatives. The aim of the study was to evaluate correlations of parameters derived from PSG, actigraphy and the Thai version of the RCSQ (T-RCSQ) among patients in a surgical intensive care unit (SICU). This single-center study was conducted in a tertiary-care, university-based hospital. Adult patients admitted to the SICU for at least 1 night were enrolled. Actigraphy and PSG were recorded from 8 PM to 6 AM, and patients and bedside nurses independently completed the T-RCSQ the following morning. Pearson correlation coefficient was used to determine the relationships of sleep efficiency assessed by PSG and by actigraphy, nurse- reported and patient-reported T-RCSQ. Fifty-five patients were enrolled in the study. Their mean age was 64.8 ± 16.3 years, 28 (51%) were men, and 16 (29%) received invasive mechanical ventilation. The correlations of sleep efficiency assessed by PSG and by actigraphy, the nurse-reported and the patient-reported T-RCSQ were 0.173 (95% CI -0.110 to 0.431), 0.334 (95% CI 0.075 to 0.550), and 0.274 (95% CI 0.009 to 0.503). The patient-reported RCSQ and the nurse-reported T-RCSQ showed moderate to high correlations across all 5 items and for derived sleep efficiency. These results support the feasibility of T-RCSQ for bedside screening and trend monitoring, but they do not support substituting actigraphy or T-RCSQ for PSG when precise physiologic quantification is required.Trial registration: Registered with ClinicalTrials.gov (NCT04417556 registration date 03/06/2020).
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