Evidence map›Paper›PMID 26122080›Full record

ArticleHealth and quality of life outcomes2015

Reliability and validity of a vertical numerical rating scale supplemented with a faces rating scale in measuring fatigue after stroke.

Li-Ling Chuang, Keh-Chung Lin, An-Lun Hsu, Ching-Yi Wu, Ku-Chou Chang, Yen-Chen Li, You-Lin Chen

Abstract readValidation Study
In one paragraph

Article in Health and quality of life outcomes, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–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

21 citing papers in PubMed.

  1. Article
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  16. Speech Entrainment for Aphasia Recovery (SpARc) phase II trial design.Contemporary clinical trials communications · 2021
    Article
  17. Validation study of a novel approach for assessment of retronasal olfactory function with combination of odor thresholds and identification.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2021
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Li-Ling ChuangDepartment of Physical Therapy and Graduate Institute of Rehabilitation Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan. lchuang2@gmail.com.
Keh-Chung LinSchool of Occupational Therapy, College of Medicine, National Taiwan University, Taipei, Taiwan. kehchunglin@ntu.edu.tw.
An-Lun HsuDepartment of Physical Therapy, Mackay Memorial Hospital, Taipei, Taiwan. anlun@mmh.org.tw.
Ching-Yi WuHealthy Ageing Research Center, Chang Gung University, 259 Wen-hua 1st Rd., Guishan, Taoyuan, Taiwan. cywu@mail.cgu.edu.tw.
Ku-Chou ChangDepartment of Neurology, Chang Gung Memorial Hospital, Kaohsiung, Taiwan. kcchang@cgmh.org.tw.
Yen-Chen LiDepartment of Physical Medicine and Rehabilitation, Physical Therapy, Chang Gung Memorial Hospital, Taoyuan, Taiwan. liyc@mail.cgu.edu.tw.
You-Lin ChenDepartment of Physical Therapy and Graduate Institute of Rehabilitation Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan. awdxawdx11@hotmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPoststroke fatigue is a persistent and distressing symptom among stroke survivors. In this study, we investigated the reliability and validity of a vertical numerical rating scale supplemented with a faces rating scale (NRS-FRS) in measuring poststroke fatigue.

methodsThe fatigue intensity of 106 individuals with stroke was measured twice, 1 week apart, using a vertical NRS-FRS to measure test-retest reliability. The intraclass correlation coefficient, a relative reliability index, was calculated to examine the degree of consistency and agreement between the two test occasions. Absolute reliability indices, including the standard error of measurement, minimal detectable change, and Bland-Altman limits of agreement, were used to quantify measurement errors and determine systematic biases of the two test occasions. We also administered the vertical NRS concurrently as a comparator measure for assessing fatigue in 50 consecutive patients with stroke who were recruited later in the study period. The Spearman rank correlation coefficient (ρ) was used to examine the concurrent validity of the NRS-FRS. Discriminant validity was assessed by means of receiver operating characteristic curves, sensitivity, and specificity.

resultsThe intraclass correlation coefficient was 0.95 for the NRS-FRS. The standard error of measurement and the minimal detectable change at the 95 % confidence interval of the NRS-FRS were 0.50 and 1.39, respectively. The Bland-Altman analyses showed no significant systematic bias between the repeated measurements. A narrow range of the limits of agreement was shown on the Bland-Altman plot, indicating the NRS-FRS had high stability and low variation between the two test occasions. The correlations between the NRS-FRS and NRS were good at test (ρ = 0.85) and retest (ρ = 0.84). Compared with the NRS cutoff value of ≥1, sensitivity with the NRS-FRS at test and retest was 94 and 92 % and specificity was 79 and 90 %, respectively.

conclusionsThis study provides further evidence of the reliability and validity of the NRS-FRS in measuring fatigue intensity in patients with stroke. The NRS-FRS had high sensitivity and specificity. The NRS-FRS may be a reliable and valid measure for clinicians and researchers to assess fatigue and determine whether a real change has occurred in groups and at the individual level of patients with stroke.

Indexed as

Facial ExpressionAdultAgedBiasFatigueFemaleHumansMaleMiddle AgedPain MeasurementPsychometricsQuality of LifeReproducibility of ResultsSensitivity and SpecificitySeverity of Illness IndexStroke

Identifiers

PMID26122080
PMCPMC4486436

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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.