Evidence map›Paper›PMID 32907309›Full record

ArticleAcute and critical care2020

Reliability of the Korean version of the Richards-Campbell Sleep Questionnaire.

Jae Kyoung Kim, Ju-Hee Park, Jaeyoung Cho, Sang-Min Lee, Jinwoo Lee

Abstract read
In one paragraph

Article in Acute and critical care, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  5. Observational
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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

5 authors.

Jae Kyoung KimDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.
Ju-Hee ParkDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, SNU-SMG Boramae Medical Center, Seoul, Korea.
Jaeyoung ChoDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.
Sang-Min LeeDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.
Jinwoo LeeDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSleep disorders are common in critically ill patients. Unfortunately, sleep assessment is challenging in many intensive care units (ICUs). The Richards-Campbell Sleep Questionnaire (RCSQ) is a simple subjective tool that has been validated and used in many countries. This study aimed to evaluate the reliability of the Korean version of the RCSQ (K-RCSQ).

methodsThis prospective, cross-sectional, observational study was conducted in the ICUs of two hospitals. In total, 52 consenting patients answered questionnaires regarding their previous night's sleep (K-RCSQ) and the noise they experienced (range, 0-100).

resultsThe K-RCSQ showed excellent internal consistency of 0.960 by Cronbach's alpha. The mean total score of the K-RCSQ was 41.9±28.9 (range, 0-100). The mean perceived ICU noise score was 40.7±28.1 (range, 0-90). There was a significant linear correlation between noise score and average K-RCSQ score (r=-0.37, P<0.001).

conclusionsThe K-RCSQ demonstrated excellent reliability (internal consistency). This simple tool may help assess sleep quality in critically ill patients and improve the quality of ICU care.

Indexed as

reliabilityRichards-Campbell Sleep Questionnairesleep disorders

Identifiers

PMID32907309
PMCPMC7483016

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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.