{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Hogan H"],"funding":["National Institute for Health Research (NIHR)","UK Department of Health Policy Research Programme"],"pagination":["e025372"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC6596963"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["9(6)"],"pubmed_abstract":["<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 har"],"journal":["BMJ open"],"pubmed_title":["Observational study to determine the utility of hospital administrative data to support case finding of English patients at higher risk of severe healthcare-related harm."],"pmcid":["PMC6596963"],"funding_grant_id":["PR-R9-0114-14001"],"pubmed_authors":["Chattopadhyay K","Black N","Sherlaw-Johnson C","Hogan H","van der Meulen J","Cooke-O'Dowd N"],"additional_accession":[]},"is_claimable":false,"name":"Observational study to determine the utility of hospital administrative data to support case finding of English patients at higher risk of severe healthcare-related harm.","description":"<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 har","dates":{"release":"2019-01-01T00:00:00Z","publication":"2019 Jun","modification":"2025-04-26T19:06:53.521Z","creation":"2019-07-24T07:30:21Z"},"accession":"S-EPMC6596963","cross_references":{"pubmed":["31230000"],"doi":["10.1136/bmjopen-2018-025372"]}}