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Establishing minimal clinically important differences for the Quality of Life Instrument of Chronic Gastritis QLICD-CG(V2.0) based on distribution-based methods

BACKGROUND: To establish the lowest score reflecting meaningful changes from the perspective of patients is very important for explaining the results of patient reports. The measurement scale of quality of life in patients with chronic gastritis has been used in clinical practice, but the minimal cl...

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Autores principales: Wu, Xiaoyu, Chen, Ying, Wan, Chonghua, Yu, Lei, Lei, Pingguang, Sun, Xiaoyuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10182708/
https://www.ncbi.nlm.nih.gov/pubmed/37173655
http://dx.doi.org/10.1186/s12876-023-02777-5
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author Wu, Xiaoyu
Chen, Ying
Wan, Chonghua
Yu, Lei
Lei, Pingguang
Sun, Xiaoyuan
author_facet Wu, Xiaoyu
Chen, Ying
Wan, Chonghua
Yu, Lei
Lei, Pingguang
Sun, Xiaoyuan
author_sort Wu, Xiaoyu
collection PubMed
description BACKGROUND: To establish the lowest score reflecting meaningful changes from the perspective of patients is very important for explaining the results of patient reports. The measurement scale of quality of life in patients with chronic gastritis has been used in clinical practice, but the minimal clinically important difference (MCID) has not been worked out. In this paper, we use a distribution-based method to calculate the MCID of the scale QLICD-CG (Quality of Life Instruments for Chronic Diseases- Chronic Gastritis) (V2.0). METHODS: The QLICD-CG(V2.0) scale was used to evaluate the quality of life in patients with chronic gastritis. Since the methods for developing MCID were diverse and there was no uniform standard, we took MCID developed by anchor-based method as the gold standard, and compared the MCID of QLICD-CG(V2.0) scale developed by various distribution-based methods for selection. Standard deviation method (SD), effect size method (ES), standardized response mean method (SRM), standard error of measurement method (SEM) and reliable change index method (RCI) are given in the distribution-based methods. RESULTS: A total of 163 patients, with an average age of (52.37 ± 12.96) years old, were calculated according to the various methods and formulas given by the distribution-based method, and the results were compared with the gold standard. It was suggested that the results of the SEM method at the moderate effect (1.96) should be taken as the preferred MCID of the distribution-based method. And thus the MCID of the physical domain, psychological domain, social domain, general module, specific module and total score of the QLICD-CG(V2.0) scale were 9.29, 13.59, 9.27, 8.29, 13.49 and 7.86, respectively. CONCLUSIONS: With anchor-based method as the gold standard, each method in distribution-based method has its own advantages and disadvantages. In this paper, 1.96SEM was found to have a good effect on the minimum clinically significant difference of the QLICD-CG(V2.0) scale, and it is recommended as the preferred method to establish MCID.
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spelling pubmed-101827082023-05-14 Establishing minimal clinically important differences for the Quality of Life Instrument of Chronic Gastritis QLICD-CG(V2.0) based on distribution-based methods Wu, Xiaoyu Chen, Ying Wan, Chonghua Yu, Lei Lei, Pingguang Sun, Xiaoyuan BMC Gastroenterol Research BACKGROUND: To establish the lowest score reflecting meaningful changes from the perspective of patients is very important for explaining the results of patient reports. The measurement scale of quality of life in patients with chronic gastritis has been used in clinical practice, but the minimal clinically important difference (MCID) has not been worked out. In this paper, we use a distribution-based method to calculate the MCID of the scale QLICD-CG (Quality of Life Instruments for Chronic Diseases- Chronic Gastritis) (V2.0). METHODS: The QLICD-CG(V2.0) scale was used to evaluate the quality of life in patients with chronic gastritis. Since the methods for developing MCID were diverse and there was no uniform standard, we took MCID developed by anchor-based method as the gold standard, and compared the MCID of QLICD-CG(V2.0) scale developed by various distribution-based methods for selection. Standard deviation method (SD), effect size method (ES), standardized response mean method (SRM), standard error of measurement method (SEM) and reliable change index method (RCI) are given in the distribution-based methods. RESULTS: A total of 163 patients, with an average age of (52.37 ± 12.96) years old, were calculated according to the various methods and formulas given by the distribution-based method, and the results were compared with the gold standard. It was suggested that the results of the SEM method at the moderate effect (1.96) should be taken as the preferred MCID of the distribution-based method. And thus the MCID of the physical domain, psychological domain, social domain, general module, specific module and total score of the QLICD-CG(V2.0) scale were 9.29, 13.59, 9.27, 8.29, 13.49 and 7.86, respectively. CONCLUSIONS: With anchor-based method as the gold standard, each method in distribution-based method has its own advantages and disadvantages. In this paper, 1.96SEM was found to have a good effect on the minimum clinically significant difference of the QLICD-CG(V2.0) scale, and it is recommended as the preferred method to establish MCID. BioMed Central 2023-05-12 /pmc/articles/PMC10182708/ /pubmed/37173655 http://dx.doi.org/10.1186/s12876-023-02777-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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.
spellingShingle Research
Wu, Xiaoyu
Chen, Ying
Wan, Chonghua
Yu, Lei
Lei, Pingguang
Sun, Xiaoyuan
Establishing minimal clinically important differences for the Quality of Life Instrument of Chronic Gastritis QLICD-CG(V2.0) based on distribution-based methods
title Establishing minimal clinically important differences for the Quality of Life Instrument of Chronic Gastritis QLICD-CG(V2.0) based on distribution-based methods
title_full Establishing minimal clinically important differences for the Quality of Life Instrument of Chronic Gastritis QLICD-CG(V2.0) based on distribution-based methods
title_fullStr Establishing minimal clinically important differences for the Quality of Life Instrument of Chronic Gastritis QLICD-CG(V2.0) based on distribution-based methods
title_full_unstemmed Establishing minimal clinically important differences for the Quality of Life Instrument of Chronic Gastritis QLICD-CG(V2.0) based on distribution-based methods
title_short Establishing minimal clinically important differences for the Quality of Life Instrument of Chronic Gastritis QLICD-CG(V2.0) based on distribution-based methods
title_sort establishing minimal clinically important differences for the quality of life instrument of chronic gastritis qlicd-cg(v2.0) based on distribution-based methods
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10182708/
https://www.ncbi.nlm.nih.gov/pubmed/37173655
http://dx.doi.org/10.1186/s12876-023-02777-5
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