Agnese Comelli , Camilla Genovese , Giulia Renisi , Luigia Scudeller , Martina Zanforlini , Giulia Macaluso , Arianna Mazzone , Antonio Muscatello , Giorgio Bozzi , Alessia Zoncada , Angelo Pan , Marianna Rossi , Paolo Bonfanti , Stefania Chiappetta , Salvatore Casari , Marco Ripa , Antonella Castagna , Liana Signorini , Francesco Castelli , Margherita Chiamenti , Alessandra Bandera
{"title":"使用 ICD-9-CM 编码识别住院期间的抗生素处方：德尔菲共识模型","authors":"Agnese Comelli , Camilla Genovese , Giulia Renisi , Luigia Scudeller , Martina Zanforlini , Giulia Macaluso , Arianna Mazzone , Antonio Muscatello , Giorgio Bozzi , Alessia Zoncada , Angelo Pan , Marianna Rossi , Paolo Bonfanti , Stefania Chiappetta , Salvatore Casari , Marco Ripa , Antonella Castagna , Liana Signorini , Francesco Castelli , Margherita Chiamenti , Alessandra Bandera","doi":"10.1016/j.infpip.2024.100416","DOIUrl":null,"url":null,"abstract":"<div><div>A Delphi consensus-seeking procedure was conducted to validate a list of ICD-9-CM codes that could help identify hospital admissions in which antimicrobials are more likely to be prescribed. The panel agreed to include 2967 codes out of 16229 (18.28%). Such codes could support AMS strategies by large-scale monitoring of drug consumption.</div></div>","PeriodicalId":33492,"journal":{"name":"Infection Prevention in Practice","volume":"6 4","pages":"Article 100416"},"PeriodicalIF":1.8000,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Use of ICD-9-CM coding for identifying antibiotic prescriptions during hospitalization: a Delphi consensus model\",\"authors\":\"Agnese Comelli , Camilla Genovese , Giulia Renisi , Luigia Scudeller , Martina Zanforlini , Giulia Macaluso , Arianna Mazzone , Antonio Muscatello , Giorgio Bozzi , Alessia Zoncada , Angelo Pan , Marianna Rossi , Paolo Bonfanti , Stefania Chiappetta , Salvatore Casari , Marco Ripa , Antonella Castagna , Liana Signorini , Francesco Castelli , Margherita Chiamenti , Alessandra Bandera\",\"doi\":\"10.1016/j.infpip.2024.100416\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>A Delphi consensus-seeking procedure was conducted to validate a list of ICD-9-CM codes that could help identify hospital admissions in which antimicrobials are more likely to be prescribed. The panel agreed to include 2967 codes out of 16229 (18.28%). Such codes could support AMS strategies by large-scale monitoring of drug consumption.</div></div>\",\"PeriodicalId\":33492,\"journal\":{\"name\":\"Infection Prevention in Practice\",\"volume\":\"6 4\",\"pages\":\"Article 100416\"},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2024-10-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Infection Prevention in Practice\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2590088924000805\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"INFECTIOUS DISEASES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Infection Prevention in Practice","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2590088924000805","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"INFECTIOUS DISEASES","Score":null,"Total":0}
Use of ICD-9-CM coding for identifying antibiotic prescriptions during hospitalization: a Delphi consensus model
A Delphi consensus-seeking procedure was conducted to validate a list of ICD-9-CM codes that could help identify hospital admissions in which antimicrobials are more likely to be prescribed. The panel agreed to include 2967 codes out of 16229 (18.28%). Such codes could support AMS strategies by large-scale monitoring of drug consumption.
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