{"title":"设计、报告和评估心理测量研究方法质量的框架:修订的COSMIN检查表","authors":"M. Zare, Z. Tagharrobi","doi":"10.32598/qums.16.10.2751.1","DOIUrl":null,"url":null,"abstract":"Background and Objectives: One of the challenges in studies related to measuring patient-reported outcomes (PRO) is the selection of an appropriate measurement tool. In this regard, compliance with standards in design and reporting of psychometric studies is necessity. In addition, researchers should be able to correctly evaluate the methodological quality of psychometric studies. Considering the presentation of the revised forms for the consensus-based standards for the selection of health Measurement instruments (COSMIN) checklist, this study aims to review these checklists. Methods: In this narrative review study, a search was conducted in national and international databases for articles measured the quality of psychometric studies by COSMIN checklist using related keywords in Persian and English with no time limitations. The results are presented in two sections, including the history of COSMIN checklist and the introduction of its revised forms. Results: There are four COSMIN checklists, including the COSMIN Risk of Bias Checklist, the COSMIN Risk of Bias Tool (by focusing on reliability and measurement error), the COSMIN Study Design Checklist, and the COSMIN Reporting Guideline. Conclusion: Considering the increasing number of psychometric studies on the PRO measurement tools, the COSMIN checklists can provide comprehensive indicators for designing, reporting, and evaluating these studies.","PeriodicalId":20805,"journal":{"name":"Qom Univ Med Sci J","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Framework of Designing, Reporting, and Evaluating the Methodological Quality for Psychometric Studies: The Revised COSMIN Checklists\",\"authors\":\"M. Zare, Z. Tagharrobi\",\"doi\":\"10.32598/qums.16.10.2751.1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Background and Objectives: One of the challenges in studies related to measuring patient-reported outcomes (PRO) is the selection of an appropriate measurement tool. In this regard, compliance with standards in design and reporting of psychometric studies is necessity. In addition, researchers should be able to correctly evaluate the methodological quality of psychometric studies. Considering the presentation of the revised forms for the consensus-based standards for the selection of health Measurement instruments (COSMIN) checklist, this study aims to review these checklists. Methods: In this narrative review study, a search was conducted in national and international databases for articles measured the quality of psychometric studies by COSMIN checklist using related keywords in Persian and English with no time limitations. The results are presented in two sections, including the history of COSMIN checklist and the introduction of its revised forms. Results: There are four COSMIN checklists, including the COSMIN Risk of Bias Checklist, the COSMIN Risk of Bias Tool (by focusing on reliability and measurement error), the COSMIN Study Design Checklist, and the COSMIN Reporting Guideline. Conclusion: Considering the increasing number of psychometric studies on the PRO measurement tools, the COSMIN checklists can provide comprehensive indicators for designing, reporting, and evaluating these studies.\",\"PeriodicalId\":20805,\"journal\":{\"name\":\"Qom Univ Med Sci J\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Qom Univ Med Sci J\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.32598/qums.16.10.2751.1\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Qom Univ Med Sci J","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.32598/qums.16.10.2751.1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Framework of Designing, Reporting, and Evaluating the Methodological Quality for Psychometric Studies: The Revised COSMIN Checklists
Background and Objectives: One of the challenges in studies related to measuring patient-reported outcomes (PRO) is the selection of an appropriate measurement tool. In this regard, compliance with standards in design and reporting of psychometric studies is necessity. In addition, researchers should be able to correctly evaluate the methodological quality of psychometric studies. Considering the presentation of the revised forms for the consensus-based standards for the selection of health Measurement instruments (COSMIN) checklist, this study aims to review these checklists. Methods: In this narrative review study, a search was conducted in national and international databases for articles measured the quality of psychometric studies by COSMIN checklist using related keywords in Persian and English with no time limitations. The results are presented in two sections, including the history of COSMIN checklist and the introduction of its revised forms. Results: There are four COSMIN checklists, including the COSMIN Risk of Bias Checklist, the COSMIN Risk of Bias Tool (by focusing on reliability and measurement error), the COSMIN Study Design Checklist, and the COSMIN Reporting Guideline. Conclusion: Considering the increasing number of psychometric studies on the PRO measurement tools, the COSMIN checklists can provide comprehensive indicators for designing, reporting, and evaluating these studies.