BACKGROUND: Delays in discharges affect both efficiency and timeliness of care; 2 measures of quality of inpatient care. OBJECTIVE: Describe number, length, and type of delays in hospital discharges. Characterize impact of delays on overall length of stay (LOS) and costs. DESIGN: Prospective observational cohort study. SETTING: Tertiary-care children's hospital. PATIENTS: All children on 2 medical teams during August 2004. INTERVENTION: Two research assistants presented detailed data of patient care (from daily rounds) to 2 physicians who identified delays and classified the delay type. Discharge was identified as delayed if there was no medical reason for the patient to be in the hospital on a given day. MEASUREMENTS: Delays were classified using a validated and reliable instrument, the Delay Tool. LOS and costs were extracted from an administrative database. RESULTS: Two teams cared for 171 patients. Mean LOS and costs were 7.3 days (standard deviation [SD] 14.3) and $15,197 (SD 38,395), respectively: 22.8% of patients experienced at least 1 delay, accounting for 82 delay-related hospital days (9% of total hospital days) and $170,000 in costs (8.9% of hospital costs); 42.3% of the delays resulted from physician behavior, 21.8% were related to discharge planning, 14.1% were related to consultation, and 12.8% were related to test scheduling. CONCLUSIONS: Almost one-fourth of patients in this 1-month period could have been discharged sooner than they were. Impact of delays on LOS and costs are substantial. Interventions will need to address variations in physician criteria for discharge, more efficient discharge planning, and timely scheduling of consultation and diagnostic testing. Copyright 2009 Society of Hospital Medicine
BACKGROUND: Delays in discharges affect both efficiency and timeliness of care; 2 measures of quality of inpatient care. OBJECTIVE: Describe number, length, and type of delays in hospital discharges. Characterize impact of delays on overall length of stay (LOS) and costs. DESIGN: Prospective observational cohort study. SETTING: Tertiary-care children's hospital. PATIENTS: All children on 2 medical teams during August 2004. INTERVENTION: Two research assistants presented detailed data of patient care (from daily rounds) to 2 physicians who identified delays and classified the delay type. Discharge was identified as delayed if there was no medical reason for the patient to be in the hospital on a given day. MEASUREMENTS: Delays were classified using a validated and reliable instrument, the Delay Tool. LOS and costs were extracted from an administrative database. RESULTS: Two teams cared for 171 patients. Mean LOS and costs were 7.3 days (standard deviation [SD] 14.3) and $15,197 (SD 38,395), respectively: 22.8% of patients experienced at least 1 delay, accounting for 82 delay-related hospital days (9% of total hospital days) and $170,000 in costs (8.9% of hospital costs); 42.3% of the delays resulted from physician behavior, 21.8% were related to discharge planning, 14.1% were related to consultation, and 12.8% were related to test scheduling. CONCLUSIONS: Almost one-fourth of patients in this 1-month period could have been discharged sooner than they were. Impact of delays on LOS and costs are substantial. Interventions will need to address variations in physician criteria for discharge, more efficient discharge planning, and timely scheduling of consultation and diagnostic testing. Copyright 2009 Society of Hospital Medicine
Authors: Alexandra W Acher; Malcolm H Squires; Ryan C Fields; George A Poultsides; Carl Schmidt; Konstantinos I Votanopoulos; Timothy M Pawlik; Linda X Jin; Aslam Ejaz; David A Kooby; Mark Bloomston; David Worhunsky; Edward A Levine; Neil Saunders; Emily Winslow; Clifford S Cho; Ken Meredith; Glen Leverson; Shishir K Maithel; Sharon M Weber Journal: J Gastrointest Surg Date: 2014-11-06 Impact factor: 3.452
Authors: Katelyn F Flick; C Max Schmidt; Cameron L Colgate; Michele T Yip-Schneider; Chris M Sublette; Thomas K Maatman; Mazhar Soufi; Eugene P Ceppa; Michael G House; Nicholas J Zyromski; Attila Nakeeb Journal: J Gastrointest Surg Date: 2020-06-24 Impact factor: 3.452
Authors: Eyal Cohen; Dennis Z Kuo; Rishi Agrawal; Jay G Berry; Santi K M Bhagat; Tamara D Simon; Rajendu Srivastava Journal: Pediatrics Date: 2011-02-21 Impact factor: 7.124