biostudies-literatureHogan HNational Institute for Health Research (NIHR)UK Department of Health Policy Research Programmee025372https://www.ebi.ac.uk/biostudies/studies/S-EPMC6596963biostudies-literatureUnknown9(6)<h4>Objectives</h4>To identify ways of using routine hospital data to improve the efficiency of retrospective reviews of case records for identifying avoidable severe harm DESIGN: Development and testing of thresholds and criteria for two indirect indicators of healthcare-related harm (long length of stay (LOS) and emergency readmission) to determine the yield of specified harms coded in Hospital Episode Statistics (HES).<h4>Setting</h4>Acute National Health Service hospitals in England.<h4>Participants</h4>HES for acute myocardial infarction (AMI), bowel cancer surgery and hip replacement admissions from 2014 to 2015.<h4>Interventions</h4>Case-mix-adjusted linear regression models were used to determine expected LOS. Different thresholds were examined to determine the association with harBMJ openObservational study to determine the utility of hospital administrative data to support case finding of English patients at higher risk of severe healthcare-related harm.PMC6596963PR-R9-0114-14001Chattopadhyay KBlack NSherlaw-Johnson CHogan Hvan der Meulen JCooke-O'Dowd NfalseObservational study to determine the utility of hospital administrative data to support case finding of English patients at higher risk of severe healthcare-related harm.<h4>Objectives</h4>To identify ways of using routine hospital data to improve the efficiency of retrospective reviews of case records for identifying avoidable severe harm DESIGN: Development and testing of thresholds and criteria for two indirect indicators of healthcare-related harm (long length of stay (LOS) and emergency readmission) to determine the yield of specified harms coded in Hospital Episode Statistics (HES).<h4>Setting</h4>Acute National Health Service hospitals in England.<h4>Participants</h4>HES for acute myocardial infarction (AMI), bowel cancer surgery and hip replacement admissions from 2014 to 2015.<h4>Interventions</h4>Case-mix-adjusted linear regression models were used to determine expected LOS. Different thresholds were examined to determine the association with har2019-01-01T00:00:00Z2019 Jun2025-04-26T19:06:53.521Z2019-07-24T07:30:21ZS-EPMC65969633123000010.1136/bmjopen-2018-025372