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      A systematic review of post-stroke fatigue measurement scale based on COSMIN guidelines

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          Abstract

          Objective

          This study aimed to evaluate the methodological quality and measurement attribute quality of the post-stroke fatigue measurement scale, so as to provide some basis for the clinical application and promotion of related scales.

          Methods

          The Chinese National Knowledge Infrastructure, the Wanfang Data Knowledge Service Platform, the China Science and Technology Journal Database, the Chinese Medical Journal Full-text Database, the Chinese Biology Medicine, PubMed, Embase, Medline, the Cochrane Library, the Web of Science, CINAHL, and PsycINFO databases were searched for literature on the post-stroke fatigue measurement scale up to June 2022. Literature screening and data extraction were carried out independently by two researchers, and in the case of disagreement, discussions were held with a third investigator to reach an agreement, and the COSMIN checklist and criteria were used to systematically evaluate the attributes of the measurement scale.

          Results

          A total of 17 studies were included, involving 10 post-stroke fatigue measurement scales. The content validity of FSS-7, FACIT-F, NRS-FRS, and MFI-20 was “not mentioned,” and the remaining scales were “uncertain.” In terms of construct validity, MFS was “adequate”; FSS-7, FACIT-F, and NRS-FRS were “not mentioned”; and the remaining scales were “uncertain.” In terms of internal consistency, NRS-FRS was “not mentioned”; FSS and MFS were “adequate”; and the remaining scales were “uncertain.” In terms of hypothesis testing, CIS and FACIT-F were “not mentioned,” NRS-FRS was “adequate,” and the remaining scales were “uncertain.” The stability of FSS-7, CIS, FACIT-F, and MFI-20 was “not mentioned,” and the remaining scales were “adequate.” The cross-cultural validity of FSS-7 was “adequate,” and the remaining scales were “not mentioned.” All 10 scales were given a recommendation grade of “B”.

          Conclusion

          For the time being, the FSS can be recommended to measure post-stroke fatigue, but it still needs to be tested for more relevant measurement properties in order to gain more support from high-quality evidence. For a more comprehensive assessment of post-stroke fatigue, the FIS, FAS, and NFI-stroke should perhaps be considered, as the FSS is a one-dimensional scale that can only measure physical fatigue in patients; however, these scales also need to be tested for more relevant measurement properties to verify their clinical applicability.

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          Most cited references30

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          COSMIN Risk of Bias checklist for systematic reviews of Patient-Reported Outcome Measures

          Purpose The original COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) checklist was developed to assess the methodological quality of single studies on measurement properties of Patient-Reported Outcome Measures (PROMs). Now it is our aim to adapt the COSMIN checklist and its four-point rating system into a version exclusively for use in systematic reviews of PROMs, aiming to assess risk of bias of studies on measurement properties. Methods For each standard (i.e., a design requirement or preferred statistical method), it was discussed within the COSMIN steering committee if and how it should be adapted. The adapted checklist was pilot-tested to strengthen content validity in a systematic review on the quality of PROMs for patients with hand osteoarthritis. Results Most important changes were the reordering of the measurement properties to be assessed in a systematic review of PROMs; the deletion of standards that concerned reporting issues and standards that not necessarily lead to biased results; the integration of standards on general requirements for studies on item response theory with standards for specific measurement properties; the recommendation to the review team to specify hypotheses for construct validity and responsiveness in advance, and subsequently the removal of the standards about formulating hypotheses; and the change in the labels of the four-point rating system. Conclusions The COSMIN Risk of Bias checklist was developed exclusively for use in systematic reviews of PROMs to distinguish this application from other purposes of assessing the methodological quality of studies on measurement properties, such as guidance for designing or reporting a study on the measurement properties. Electronic supplementary material The online version of this article (10.1007/s11136-017-1765-4) contains supplementary material, which is available to authorized users.
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            COSMIN methodology for evaluating the content validity of patient-reported outcome measures: a Delphi study

            Background Content validity is the most important measurement property of a patient-reported outcome measure (PROM) and the most challenging to assess. Our aims were to: (1) develop standards for evaluating the quality of PROM development; (2) update the original COSMIN standards for assessing the quality of content validity studies of PROMs; (3) develop criteria for what constitutes good content validity of PROMs, and (4) develop a rating system for summarizing the evidence on a PROM’s content validity and grading the quality of the evidence in systematic reviews of PROMs. Methods An online 4-round Delphi study was performed among 159 experts from 21 countries. Panelists rated the degree to which they (dis)agreed to proposed standards, criteria, and rating issues on 5-point rating scales (‘strongly disagree’ to ‘strongly agree’), and provided arguments for their ratings. Results Discussion focused on sample size requirements, recording and field notes, transcribing cognitive interviews, and data coding. After four rounds, the required 67% consensus was reached on all standards, criteria, and rating issues. After pilot-testing, the steering committee made some final changes. Ten criteria for good content validity were defined regarding item relevance, appropriateness of response options and recall period, comprehensiveness, and comprehensibility of the PROM. Discussion The consensus-based COSMIN methodology for content validity is more detailed, standardized, and transparent than earlier published guidelines, including the previous COSMIN standards. This methodology can contribute to the selection and use of high-quality PROMs in research and clinical practice. Electronic supplementary material The online version of this article (10.1007/s11136-018-1829-0) contains supplementary material, which is available to authorized users.
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              COSMIN Risk of Bias tool to assess the quality of studies on reliability or measurement error of outcome measurement instruments: a Delphi study

              Background Scores on an outcome measurement instrument depend on the type and settings of the instrument used, how instructions are given to patients, how professionals administer and score the instrument, etc. The impact of all these sources of variation on scores can be assessed in studies on reliability and measurement error, if properly designed and analyzed. The aim of this study was to develop standards to assess the quality of studies on reliability and measurement error of clinician-reported outcome measurement instruments, performance-based outcome measurement instrument, and laboratory values. Methods We conducted a 3-round Delphi study involving 52 panelists. Results Consensus was reached on how a comprehensive research question can be deduced from the design of a reliability study to determine how the results of a study inform us about the quality of the outcome measurement instrument at issue. Consensus was reached on components of outcome measurement instruments, i.e. the potential sources of variation. Next, we reached consensus on standards on design requirements (n = 5), standards on preferred statistical methods for reliability (n = 3) and measurement error (n = 2), and their ratings on a four-point scale. There was one term for a component and one rating of one standard on which no consensus was reached, and therefore required a decision by the steering committee. Conclusion We developed a tool that enables researchers with and without thorough knowledge on measurement properties to assess the quality of a study on reliability and measurement error of outcome measurement instruments. Supplementary Information The online version contains supplementary material available at 10.1186/s12874-020-01179-5.
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                Author and article information

                Contributors
                URI : https://loop.frontiersin.org/people/2706136/overviewRole: Role: Role: Role:
                Role: Role: Role:
                Journal
                Front Neurol
                Front Neurol
                Front. Neurol.
                Frontiers in Neurology
                Frontiers Media S.A.
                1664-2295
                10 September 2024
                2024
                : 15
                : 1411472
                Affiliations
                The Second Hospital of Jiaxing , Jiaxing, China
                Author notes

                Edited by: Hideki Nakano, Kyoto Tachibana University, Japan

                Reviewed by: Jose Antonio López-Pina, University of Murcia, Spain

                Rita Pilar Romero-Galisteo, University of Malaga, Spain

                *Correspondence: Lingsha Wu, 17377620626@ 123456163.com
                Article
                10.3389/fneur.2024.1411472
                11429003
                39346770
                b8b92086-9f20-498a-8b2f-f57f3d2f5033
                Copyright © 2024 Wu and Jin.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 04 April 2024
                : 19 August 2024
                Page count
                Figures: 1, Tables: 4, Equations: 0, References: 30, Pages: 9, Words: 5917
                Funding
                The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.
                Categories
                Neurology
                Review
                Custom metadata
                Neurorehabilitation

                Neurology
                post-stroke fatigue,measurement scales,cosmin guide,systematic review,fatigue severity scale

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