Antoine Duclos, Michelle L Frits, Christine Iannaccone, Stuart R Lipsitz, Zara Cooper, Joel S Weissman, David W Bates
{"title":"Safety of inpatient care in surgical settings: cohort study","authors":"Antoine Duclos, Michelle L Frits, Christine Iannaccone, Stuart R Lipsitz, Zara Cooper, Joel S Weissman, David W Bates","doi":"10.1136/bmj-2024-080480","DOIUrl":null,"url":null,"abstract":"Objectives To estimate the frequency, severity, and preventability of adverse events associated with perioperative care, and to describe the setting and professions concerned. Design Multicenter retrospective cohort study. Setting 11 US hospitals. Participants 1009 patients from a randomly selected sample of 64 121 adults admitted for surgery during 2018. Main outcome measures Adverse events during inpatient perioperative care were assessed using a trigger method, identifying information previously associated with similar events, and from a comprehensive review of electronic health records. Trained nurses reviewed all records and flagged admissions with possible adverse events, which were then adjudicated by physicians, who confirmed the occurrence and characteristics of the events. Adverse events were classified as major if they resulted in serious harm requiring substantial intervention or prolonged recovery, involved a life threatening event, or led to a fatal outcome. Potentially preventable events included those definitively, probably, or possibly preventable. Results Among 1009 patients reviewed, adverse events were identified in 38.0% (95% confidence interval 32.6 to 43.4), with major adverse events occurring in 15.9% (12.7 to 19.0). Of 593 identified adverse events, 353 (59.5%) were potentially preventable and 123 (20.7%) were definitely or probably preventable. The most common adverse events were related to surgical procedures (n=292, 49.3%), followed by adverse drug events (n=158, 26.6%), healthcare associated infections (n=74, 12.4%), patient care events (n=66, 11.2%), and blood transfusion reactions (n=3, 0.5%). Adverse events were most frequent in general care units (n=289, 48.8%), followed by operating rooms (n=155, 26.1%), intensive care units (n=77, 13.0%), recovery rooms (n=20, 3.3%), emergency departments (n=11, 1.8%), and other in-hospital locations (n=42, 7.0%). Professions most involved were attending physicians (n=531, 89.5%), followed by nurses (n=349, 58.9%), residents (n=294, 49.5%), advanced level practitioners (n=169, 28.5%), and fellows (n=68, 11.5%). Conclusions Adverse events were identified in more than one third of patients admitted to hospital for surgery, with nearly half of the events classified as major and most potentially preventable. These findings emphasize the critical need for ongoing improvement in patient safety, involving all health professionals, throughout perioperative care. Supplementary method S3 shows the SAS code for data preparation and analysis. Owing to confidentiality requirements, the data for this project are primarily reserved for the immediate research team at Mass General Brigham. However, deidentified data can be accessed on secured servers by contacting the principal investigator (DWB). Additionally, the protocol and adverse events chart review training manual used for the project, along with further details about data management and analysis, are available to interested researchers.","PeriodicalId":22388,"journal":{"name":"The BMJ","volume":"20 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The BMJ","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1136/bmj-2024-080480","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Objectives To estimate the frequency, severity, and preventability of adverse events associated with perioperative care, and to describe the setting and professions concerned. Design Multicenter retrospective cohort study. Setting 11 US hospitals. Participants 1009 patients from a randomly selected sample of 64 121 adults admitted for surgery during 2018. Main outcome measures Adverse events during inpatient perioperative care were assessed using a trigger method, identifying information previously associated with similar events, and from a comprehensive review of electronic health records. Trained nurses reviewed all records and flagged admissions with possible adverse events, which were then adjudicated by physicians, who confirmed the occurrence and characteristics of the events. Adverse events were classified as major if they resulted in serious harm requiring substantial intervention or prolonged recovery, involved a life threatening event, or led to a fatal outcome. Potentially preventable events included those definitively, probably, or possibly preventable. Results Among 1009 patients reviewed, adverse events were identified in 38.0% (95% confidence interval 32.6 to 43.4), with major adverse events occurring in 15.9% (12.7 to 19.0). Of 593 identified adverse events, 353 (59.5%) were potentially preventable and 123 (20.7%) were definitely or probably preventable. The most common adverse events were related to surgical procedures (n=292, 49.3%), followed by adverse drug events (n=158, 26.6%), healthcare associated infections (n=74, 12.4%), patient care events (n=66, 11.2%), and blood transfusion reactions (n=3, 0.5%). Adverse events were most frequent in general care units (n=289, 48.8%), followed by operating rooms (n=155, 26.1%), intensive care units (n=77, 13.0%), recovery rooms (n=20, 3.3%), emergency departments (n=11, 1.8%), and other in-hospital locations (n=42, 7.0%). Professions most involved were attending physicians (n=531, 89.5%), followed by nurses (n=349, 58.9%), residents (n=294, 49.5%), advanced level practitioners (n=169, 28.5%), and fellows (n=68, 11.5%). Conclusions Adverse events were identified in more than one third of patients admitted to hospital for surgery, with nearly half of the events classified as major and most potentially preventable. These findings emphasize the critical need for ongoing improvement in patient safety, involving all health professionals, throughout perioperative care. Supplementary method S3 shows the SAS code for data preparation and analysis. Owing to confidentiality requirements, the data for this project are primarily reserved for the immediate research team at Mass General Brigham. However, deidentified data can be accessed on secured servers by contacting the principal investigator (DWB). Additionally, the protocol and adverse events chart review training manual used for the project, along with further details about data management and analysis, are available to interested researchers.