医学测量的可靠性和测量误差研究——为医学研究人员解释从设计到统计。

IF 1.8 Q3 HEALTH CARE SCIENCES & SERVICES Patient Related Outcome Measures Pub Date : 2023-01-01 DOI:10.2147/PROM.S398886
Lidwine B Mokkink, Iris Eekhout, Maarten Boers, Cees P M van der Vleuten, Henrica C W de Vet
{"title":"医学测量的可靠性和测量误差研究——为医学研究人员解释从设计到统计。","authors":"Lidwine B Mokkink,&nbsp;Iris Eekhout,&nbsp;Maarten Boers,&nbsp;Cees P M van der Vleuten,&nbsp;Henrica C W de Vet","doi":"10.2147/PROM.S398886","DOIUrl":null,"url":null,"abstract":"<p><p>Reliability and measurement error are measurement properties that quantify the influence of specific sources of variation, such as raters, type of machine, or time, on the score of the individual measurement. Several designs can be chosen to assess reliability and measurement error of a measurement. Differences in design are due to specific choices about which sources of variation are varied over the repeated measurements in stable patients, which potential sources of variation are kept stable (ie, restricted), and about whether or not the entire measurement instrument (or measurement protocol) was repeated or only part of it. We explain how these choices determine how intraclass correlation coefficients and standard errors of measurement formulas are built for different designs by using Venn diagrams. Strategies for improving the measurement are explained, and recommendations for reporting the essentials of these studies are described. We hope that this paper will facilitate the understanding and improve the design, analysis, and reporting of future studies on reliability and measurement error of measurements.</p>","PeriodicalId":19747,"journal":{"name":"Patient Related Outcome Measures","volume":"14 ","pages":"193-212"},"PeriodicalIF":1.8000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/77/25/prom-14-193.PMC10336232.pdf","citationCount":"2","resultStr":"{\"title\":\"Studies on Reliability and Measurement Error of Measurements in Medicine - From Design to Statistics Explained for Medical Researchers.\",\"authors\":\"Lidwine B Mokkink,&nbsp;Iris Eekhout,&nbsp;Maarten Boers,&nbsp;Cees P M van der Vleuten,&nbsp;Henrica C W de Vet\",\"doi\":\"10.2147/PROM.S398886\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Reliability and measurement error are measurement properties that quantify the influence of specific sources of variation, such as raters, type of machine, or time, on the score of the individual measurement. Several designs can be chosen to assess reliability and measurement error of a measurement. Differences in design are due to specific choices about which sources of variation are varied over the repeated measurements in stable patients, which potential sources of variation are kept stable (ie, restricted), and about whether or not the entire measurement instrument (or measurement protocol) was repeated or only part of it. We explain how these choices determine how intraclass correlation coefficients and standard errors of measurement formulas are built for different designs by using Venn diagrams. Strategies for improving the measurement are explained, and recommendations for reporting the essentials of these studies are described. We hope that this paper will facilitate the understanding and improve the design, analysis, and reporting of future studies on reliability and measurement error of measurements.</p>\",\"PeriodicalId\":19747,\"journal\":{\"name\":\"Patient Related Outcome Measures\",\"volume\":\"14 \",\"pages\":\"193-212\"},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/77/25/prom-14-193.PMC10336232.pdf\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Patient Related Outcome Measures\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2147/PROM.S398886\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"HEALTH CARE SCIENCES & SERVICES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Patient Related Outcome Measures","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2147/PROM.S398886","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 2

摘要

可靠性和测量误差是量化特定变化源(如评分者、机器类型或时间)对单个测量得分的影响的测量属性。可以选择几种设计来评估测量的可靠性和测量误差。设计上的差异是由于特定的选择,即在稳定的患者中重复测量时改变哪些变异源,哪些潜在的变异源保持稳定(即限制),以及整个测量仪器(或测量方案)是否重复或仅部分重复。我们使用维恩图解释了这些选择如何决定如何为不同的设计构建测量公式的类内相关系数和标准误差。解释了改进测量的策略,并描述了报告这些研究要点的建议。我们希望本文将有助于理解和改进未来关于测量的可靠性和测量误差的研究的设计、分析和报告。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

摘要图片

摘要图片

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Studies on Reliability and Measurement Error of Measurements in Medicine - From Design to Statistics Explained for Medical Researchers.

Reliability and measurement error are measurement properties that quantify the influence of specific sources of variation, such as raters, type of machine, or time, on the score of the individual measurement. Several designs can be chosen to assess reliability and measurement error of a measurement. Differences in design are due to specific choices about which sources of variation are varied over the repeated measurements in stable patients, which potential sources of variation are kept stable (ie, restricted), and about whether or not the entire measurement instrument (or measurement protocol) was repeated or only part of it. We explain how these choices determine how intraclass correlation coefficients and standard errors of measurement formulas are built for different designs by using Venn diagrams. Strategies for improving the measurement are explained, and recommendations for reporting the essentials of these studies are described. We hope that this paper will facilitate the understanding and improve the design, analysis, and reporting of future studies on reliability and measurement error of measurements.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Patient Related Outcome Measures
Patient Related Outcome Measures HEALTH CARE SCIENCES & SERVICES-
自引率
4.80%
发文量
27
审稿时长
16 weeks
期刊最新文献
Practices for Reporting Scale Structure and Summarizing Scores in Studies Using FAMCARE Scale to Assess Caregiver Satisfaction with Cancer Care: A Scoping Review. Development and Content Validation of the Patient's Qualitative Assessment of Treatment - Real-World (PQAT-RW): An Instrument to Evaluate Benefits and Disadvantages of Treatments in Real-World Settings. Exploring Barriers to Effective COVID-19 Risk Mitigation, Recovery, and Chronic Disease Self-Management: A Qualitative Multilevel Perspective. Ultra-Low Frequency Transmitted Ultrasound Breast Imaging vs DBT (Digital Breast Tomosynthesis): A Patient-Reported Outcome Study. Systematic Literature Review of Studies Reporting Measures of Functional Outcome or Quality of Life in People with Negative Symptoms of Schizophrenia.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1