INTRODUCTION: Traditional strategies to determine hospital bed surge capacity have relied on cross-sectional hospital census data, which underestimate the true surge capacity in the event of a mass-casualty incident. OBJECTIVE: To determine hospital bed surge capacity for the County more accurately using physician and nurse manager assessments for the disposition of all in-patients at multiple facilities. METHODS: Overnight- and day-shift nurse managers from each in-patient unit at four different hospitals were approached to make assessments for each patient as to their predicted disposition at 2, 24, and 72 hours post-event in the case of a mass-casualty incident, including transfer to a hypothetical, onsite nursing facility. Physicians at the two academic institutions also were approached for comparison. Age, gender, and admission diagnosis also were recorded for each patient. RESULTS: A total of 1,741 assessments of 788 patients by 82 nurse managers and 25 physicians from the four institutions were included. Nurse managers assessed approximately one-third of all patients as dischargeable at 24 hours and approximately one-half at 72 hours; one-quarter of the patients were assessed as being transferable to a hypothetical, on-site nursing facility at both time points. Physicians were more likely than were nurse managers to send patients to such a facility or discharge them, but less likely to transfer patients out of the intensive care unit (ICU). Inter-facility variability was explained by differences in the distribution of patient diagnoses. CONCLUSIONS: A large proportion of in-patients can be discharged within 24 and 72 hours in the event of a mass-casualty incident (MCI). Additional beds can be made available if an on-site nursing facility is made available. Both physicians and nurse managers should be included on the team that makes patient dispositions in the event of a MCI.
INTRODUCTION: Traditional strategies to determine hospital bed surge capacity have relied on cross-sectional hospital census data, which underestimate the true surge capacity in the event of a mass-casualty incident. OBJECTIVE: To determine hospital bed surge capacity for the County more accurately using physician and nurse manager assessments for the disposition of all in-patients at multiple facilities. METHODS: Overnight- and day-shift nurse managers from each in-patient unit at four different hospitals were approached to make assessments for each patient as to their predicted disposition at 2, 24, and 72 hours post-event in the case of a mass-casualty incident, including transfer to a hypothetical, onsite nursing facility. Physicians at the two academic institutions also were approached for comparison. Age, gender, and admission diagnosis also were recorded for each patient. RESULTS: A total of 1,741 assessments of 788 patients by 82 nurse managers and 25 physicians from the four institutions were included. Nurse managers assessed approximately one-third of all patients as dischargeable at 24 hours and approximately one-half at 72 hours; one-quarter of the patients were assessed as being transferable to a hypothetical, on-site nursing facility at both time points. Physicians were more likely than were nurse managers to send patients to such a facility or discharge them, but less likely to transfer patients out of the intensive care unit (ICU). Inter-facility variability was explained by differences in the distribution of patient diagnoses. CONCLUSIONS: A large proportion of in-patients can be discharged within 24 and 72 hours in the event of a mass-casualty incident (MCI). Additional beds can be made available if an on-site nursing facility is made available. Both physicians and nurse managers should be included on the team that makes patient dispositions in the event of a MCI.
Authors: Howard K Koh; Amie C Shei; Janette Bataringaya; Jon Burstein; Paul D Biddinger; M Suzanne Crowther; Richard A Serino; Bradley R Cohen; Gilbert A Nick; Mary C Leary; Christine M Judge; Paul H Campbell; Kathryn H Brinsfield; John Auerbach Journal: Public Health Rep Date: 2006 Mar-Apr Impact factor: 2.792
Authors: H J Bail; C Kleber; N P Haas; P Fischer; L Mahlke; G Matthes; S Ruchholtz; J W Weidringer Journal: Unfallchirurg Date: 2009-10 Impact factor: 1.000
Authors: Erik R Barthel; James R Pierce; Catherine J Goodhue; Henri R Ford; Tracy C Grikscheit; Jeffrey S Upperman Journal: Theor Biol Med Model Date: 2011-10-12 Impact factor: 2.432
Authors: Gabor D Kelen; Chadd K Kraus; Melissa L McCarthy; Eric Bass; Edbert B Hsu; Guohua Li; James J Scheulen; Judy B Shahan; Justin D Brill; Gary B Green Journal: Lancet Date: 2006-12-02 Impact factor: 202.731