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      German version of the Chedoke McMaster arm and hand activity inventory (CAHAI-G): intra-rater reliability and responsiveness

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          Abstract

          Background

          The English version of the Chedoke Arm and Hand Activity Inventory is a validated, upper-limb measure with the purpose of assessing functional recovery of the arm and hand after a stroke. A German translation and cross-cultural adaptation was recently produced and demonstrated high validity, inter-rater reliability and internal consistency. As a follow-up, the present study evaluated the intra-rater reliability and responsiveness of the CAHAI-G for the long and all shortened versions.

          Methods

          The CAHAI-G and the Action Research Arm Test were assessed on three different measurement events: upon entry (ME1), two to 3 days after entry (ME2), and after three to 4 weeks (ME3). For the intra-rater reliability analysis, the ME1 CAHAI assessments were recorded on video and rated by three therapists to obtain the intraclass coefficients (ICC). The data of all three MEs were analysed in a group of stroke inpatients for the evaluation of responsiveness. To test for responsiveness, the CAHAI-G change data were compared to concurrent instruments: The Global Rating of Change-questionnaire and the Global Rating of Concept-questionnaire. Both served as external criteria. For all CAHAI-G versions (7, 8, 9 or 13 items), the same analysis procedures for the evaluation of the responsiveness parameter were performed.

          Results

          In total, 27 patients (9 females, age 63 ± 13.7) were enrolled in the study. The ICCs for the intra-rater reliability were calculated to be between 0.988 and 0.998 for all CAHAI versions. Responsiveness parameters were as follows from CAHAI-G 7 to 13: Minimal Detectable Change (MDC 90) 5.3, 6.0, 6.1, 8.2; Pearson’s correlation coefficients CAHAI-Gs with ARAT 0.365, 0.409 *, 0.500 **, 0.597 **. The Area und Under the Curve and the Minimal Clinical Important Difference values for all CAHAI-G versions and the three external criteria ranged between 0.483 to 0.603 and 2.5 to 9.0, respectively.

          Conclusion

          In addition to the high validity, inter-rater reliability and internal consistency, the CAHAI-G revealed high intra-rater reliability. The data also suggest an adequate responsiveness of the CAHAI-G versions 9 and 13.

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          Most cited references 34

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          Measurement of health status. Ascertaining the minimal clinically important difference.

          In recent years quality of life instruments have been featured as primary outcomes in many randomized trials. One of the challenges facing the investigator using such measures is determining the significance of any differences observed, and communicating that significance to clinicians who will be applying the trial results. We have developed an approach to elucidating the significance of changes in score in quality of life instruments by comparing them to global ratings of change. Using this approach we have established a plausible range within which the minimal clinically important difference (MCID) falls. In three studies in which instruments measuring dyspnea, fatigue, and emotional function in patients with chronic heart and lung disease were applied the MCID was represented by mean change in score of approximately 0.5 per item, when responses were presented on a seven point Likert scale. Furthermore, we have established ranges for changes in questionnaire scores that correspond to moderate and large changes in the domains of interest. This information will be useful in interpreting questionnaire scores, both in individuals and in groups of patients participating in controlled trials, and in the planning of new trials.
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            Methods for assessing responsiveness: a critical review and recommendations.

            A review of the literature suggests there are two major aspects of responsiveness. We define the first as "internal responsiveness," which characterizes the ability of a measure to change over a prespecified time frame, and the second as "external responsiveness, " which reflects the extent to which change in a measure relates to corresponding change in a reference measure of clinical or health status. The properties and interpretation of commonly used internal and external responsiveness statistics are examined. It is from the interpretation point of view that external responsiveness statistics are considered particularly attractive. The usefulness of regression models for assessing external responsiveness is also highlighted.
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              A performance test for assessment of upper limb function in physical rehabilitation treatment and research.

               Stephen Lyle (1980)
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                Author and article information

                Contributors
                f.behrendt@reha-rhf.ch
                Journal
                Health Qual Life Outcomes
                Health Qual Life Outcomes
                Health and Quality of Life Outcomes
                BioMed Central (London )
                1477-7525
                23 July 2020
                23 July 2020
                2020
                : 18
                Affiliations
                [1 ]GRID grid.477815.8, ISNI 0000 0004 0516 1903, Research Department, , Reha Rheinfelden, ; Rheinfelden, Switzerland
                [2 ]GRID grid.424060.4, ISNI 0000 0001 0688 6779, Institute for Rehabilitation and Performance Technology, , Bern University of Applied Sciences, ; Burgdorf, Switzerland
                [3 ]GRID grid.6612.3, ISNI 0000 0004 1937 0642, Department of Sport, Exercise and Health, , University of Basel, ; Basel, Switzerland
                Article
                1499
                10.1186/s12955-020-01499-6
                7379810
                32703292
                © The Author(s) 2020

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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                Research
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                © The Author(s) 2020

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