{"title":"过程中缩放模型:数据监测委员会和临床试验质量改进的潜在框架","authors":"Alan F. Smith, Jonathan H Seltzer","doi":"10.1177/0092861511427864","DOIUrl":null,"url":null,"abstract":"This article discusses the application of a statistical process control methodology to improve the quality of real-time clinical trial monitoring, an especially valuable tool for data monitoring committees. This article outlines a method that may have value in bringing a data-based approach using the measures of site performance to define patterns of similarity or dissimilarity between the sites. These can then be used to provide an efficient and objective mechanism to identify those sites for closer scrutiny, monitoring, or further training, either at the end of the study or on an ongoing basis.","PeriodicalId":391574,"journal":{"name":"Drug information journal : DIJ / Drug Information Association","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"An In-Process Scaling Model: A Potential Framework for Data Monitoring Committees and Clinical Trial Quality Improvement\",\"authors\":\"Alan F. Smith, Jonathan H Seltzer\",\"doi\":\"10.1177/0092861511427864\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article discusses the application of a statistical process control methodology to improve the quality of real-time clinical trial monitoring, an especially valuable tool for data monitoring committees. This article outlines a method that may have value in bringing a data-based approach using the measures of site performance to define patterns of similarity or dissimilarity between the sites. These can then be used to provide an efficient and objective mechanism to identify those sites for closer scrutiny, monitoring, or further training, either at the end of the study or on an ongoing basis.\",\"PeriodicalId\":391574,\"journal\":{\"name\":\"Drug information journal : DIJ / Drug Information Association\",\"volume\":\"46 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Drug information journal : DIJ / Drug Information Association\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/0092861511427864\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Drug information journal : DIJ / Drug Information Association","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/0092861511427864","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An In-Process Scaling Model: A Potential Framework for Data Monitoring Committees and Clinical Trial Quality Improvement
This article discusses the application of a statistical process control methodology to improve the quality of real-time clinical trial monitoring, an especially valuable tool for data monitoring committees. This article outlines a method that may have value in bringing a data-based approach using the measures of site performance to define patterns of similarity or dissimilarity between the sites. These can then be used to provide an efficient and objective mechanism to identify those sites for closer scrutiny, monitoring, or further training, either at the end of the study or on an ongoing basis.