Evidence map›Paper›PMID 38935268›Full record

ArticleSleep & breathing = Schlaf & Atmung2024

Psychometric and structural properties of the traditional Chinese version of the sleep condition indicator for patients undergoing hemodialysis.

Yu-Han Chang, Hsun-Hua Lee, Yi-Shu Liao, Ta-Wei Guu, Shu-Liu Guo, Faizul Hasan, Ya-Wen Jan, Hsin-Chien Lee, Hsiao-Yean Chiu

Abstract read
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In one paragraph

Article in Sleep & breathing = Schlaf & Atmung, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

9 authors.

Yu-Han ChangSchool of Nursing, College of Nursing, Taipei Medical University, Taipei, Taiwan No. 250, Wuxing St., Xinyi Dist., Taipei, 110, Taiwan.
Hsun-Hua LeeDepartment of Neurology, Taipei Medical University Hospital, Taipei Medical University, Taipei, Taiwan.
Yi-Shu LiaoDepartment of Nursing, Taipei Medical University Hospital, Taipei, Taiwan.
Ta-Wei GuuDepartment of Old Age Psychiatry, Institute of Psychiatry Psychology and Neuroscience, King's College London, London, UK.
Shu-Liu GuoSchool of Nursing, College of Nursing, Taipei Medical University, Taipei, Taiwan No. 250, Wuxing St., Xinyi Dist., Taipei, 110, Taiwan.
Faizul HasanFaculty of Nursing, Chulalongkorn University, Bangkok, Thailand.
Ya-Wen JanDepartment of Psychology, Chung Yuan Christian University, Taoyuan, Taiwan.
Hsin-Chien LeeResearch Center of Sleep Medicine, Taipei Medical University Hospital, Taipei, Taiwan.
Hsiao-Yean ChiuSchool of Nursing, College of Nursing, Taipei Medical University, Taipei, Taiwan No. 250, Wuxing St., Xinyi Dist., Taipei, 110, Taiwan. hychiu0315@tmu.edu.tw.ORCID 0000-0002-6419-9309

Funding

National Science and Technology Council 111-2314-B-038-033-MY3National Science and Technology Council 112-2628-B-038-003
6 · The paper itself

Abstract

purposeInsomnia is a prevalent sleep disorder among patients undergoing hemodialysis for chronic kidney disease. This study aimed to translate the sleep condition indicator (SCI), an insomnia screening tool based on the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5), into a traditional Chinese version (SCI-TC) and evaluate the reliability and validity of this version for patients undergoing hemodialysis.

methodsThis cross-sectional study conducted from November 2022 to June 2023 involved 200 patients on hemodialysis (mean age, 65.56 years; 61.5% men). Participants completed a series of questionnaires, with insomnia diagnosed according to DSM-5 criteria as the gold standard. A receiver operating characteristic (ROC) curve analysis was conducted to examine the sensitivity and specificity of the SCI-TC.

resultsAccording to the DSM-5 criteria, 38% of the participants had insomnia. Cronbach's alpha for the SCI-TC was 0.92. The SCI-TC exhibited a good fit as a two-factor model, and its scores were significantly associated with those of the traditional Chinese versions of the Insomnia Severity Index, Patient Health Questionnaire-9, Generalized Anxiety Disorder-7, EuroQol 5-Dimensions scale, and EuroQol Visual Analogue Scale (r =  - 0.94, - 0.53, - 0.38, 0.27, and 0.30, respectively; all p < 0.05). The ROC curve analysis revealed an optimal cutoff of 16 points, with the sensitivity, specificity, and area under curve of 88.2%, 84.7%, and 0.91(95% confidence interval, 0.87-0.95), respectively.

conclusionThe SCI-TC demonstrates robust reliability and validity in detecting insomnia among patients undergoing hemodialysis. These findings suggest that health-care providers should considering using the SCI as an easy-to-use tool for the timely detection of insomnia in this population.

Indexed as

PsychometricsRenal DialysisSleep Initiation and Maintenance DisordersAdultAgedChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedRenal Insufficiency, ChronicReproducibility of ResultsSensitivity and SpecificitySurveys and QuestionnairesHemodialysisInsomniaReliabilitySleep Condition IndicatorValidity

Identifiers

PMID38935268

What OpenQuestion holds

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Registered trials

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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.