Patient Length of Stay Under the Two-Midnight Rule: Assessing the Accuracy of Providers' Predictions. Issue 4 (July 2020)

• Record Type: Journal Article
• Authors: Lindor, Rachel A.; Bellolio, Fernanda; Madsen, Bo E.; Newman, James S.; Lohse, Christine M.; Jeffery, Molly M.; Boon, Ashton L.; Goyal, Deepi G.; Sadosty, Annie T.
• Is Part Of: Journal of healthcare management. Volume 65:Issue 4(2020)
• Publication Date: 2020-07
• Subjects: Hospitals -- Administration -- Periodicals; Health services administration -- Periodicals; Hospital Administration; Hospitals; Delivery of Health Care; Hospital Services Administration; Health services administration; Hospitals -- Administration; Electronic journals; Periodicals; Periodicals; 362.1068
• DOI: 10.1097/JHM-D-18-00167
• Languages: English
• ISSNs: 1096-9012

Abstract

Abstract : EXECUTIVE SUMMARY: We sought to determine emergency medicine physicians' accuracy in designating patients' disposition status as "inpatient" or "observation" at the time of hospital admission in the context of Medicare's Two-Midnight rule and to identify characteristics that may improve the providers' predictions. We conducted a 90-day observational study of emergency department (ED) admissions involving adults aged 65 years and older and assessed the accuracy of physicians' disposition decisions. Logistic regression models were fit to explore associations and predictors of disposition. A total of 2, 257 patients 65 and older were admitted through the ED. The overall error rate in physician designation of observation or inpatient was 36%. Diagnoses most strongly associated with stays lasting less than two midnights included diverticulitis, syncope, and nonspecific chest pain. Diagnoses most strongly associated with stays lasting two or more midnights included orthopedic fractures, biliary tract disease, and back pain. ED physicians inaccurately predicted patient length of stay in more than one third of all patients. Under the Two-Midnight rule, these inaccurate predictions place hospitals at risk of underpayment and patients at risk of significant financial liability. Further work is needed to increase providers' awareness of the financial repercussions of their admission designations and to identify interventions that can improve prediction accuracy.