A. Gammie , L. Thomas , A. Bacon , H. Yasmin , R. Axell , T. Greenwell , H. Hashim
{"title":"A database structure for urodynamic records","authors":"A. Gammie , L. Thomas , A. Bacon , H. Yasmin , R. Axell , T. Greenwell , H. Hashim","doi":"10.1016/j.cont.2024.101728","DOIUrl":null,"url":null,"abstract":"<div><div>A database of reliable, screened, good quality data is a vital tool for research. We present the structure of a database for urodynamic data that has been developed and proven in use by two major UK urology centres. We share with this paper a spreadsheet of the data structure for others to copy and use in their own departments, in the hope that clinical services can be streamlined, research encouraged and data easily combined for large studies. We also describe screening criteria to facilitate the removal of anomalous or erroneous data entries.</div></div>","PeriodicalId":72702,"journal":{"name":"Continence (Amsterdam, Netherlands)","volume":"13 ","pages":"Article 101728"},"PeriodicalIF":0.0000,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Continence (Amsterdam, Netherlands)","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2772973724010038","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract
A database of reliable, screened, good quality data is a vital tool for research. We present the structure of a database for urodynamic data that has been developed and proven in use by two major UK urology centres. We share with this paper a spreadsheet of the data structure for others to copy and use in their own departments, in the hope that clinical services can be streamlined, research encouraged and data easily combined for large studies. We also describe screening criteria to facilitate the removal of anomalous or erroneous data entries.
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