BACKGROUND: The Emergency Medical Treatment and Active Labor Act was meant to provide access to emergency medical care irrespective of financial resources. Yet, many Level I trauma Centers have raised concerns about the financial drivers influencing transfer. OBJECTIVE: : To study the relationship between insurance status and transfer, we focused on patients with mild head injury to tease apart the medical necessity for transfer from other potential drivers, such as financial factors. METHODS: Using the 2002 to 2006 American College of Surgeons National Trauma Databank and Massachusetts General Hospital's Trauma Databank from 1993 to 2009, we conducted a retrospective study and limited our population to patients with mild head injuries and mild to moderate systemic injuries as determined by the Glasgow Coma Scale, Abbreviated Injury Scale, or Injury Severity Score. Statistical analyses were conducted with STATA software. RESULTS: In a nationalized database, (1) uninsured patients with mild head injury are more likely to be transferred out of a Level II or III facility (adjusted odds ratio [OR]: 2.07; P = .000) compared with privately insured patients and (2) uninsured patients are less likely to be accepted by a Level II or III facility for transfer compared with privately insured patients (adjusted OR: = .143; P = .000l). For transfers received by 1 Level I trauma center (Massachusetts General Hospital), uninsured patients are more likely to be transferred to (1) Massachusetts General Hospital between midnight and 6 am (adjusted OR: 5.201; P = .000) compared with other time periods throughout the day and (2) Massachusetts General Hospital on Sunday (adjusted OR: 1.09; P = .000) compared with other days of the week. CONCLUSION: Insurance status appears to influence transfer patterns.
BACKGROUND: The Emergency Medical Treatment and Active Labor Act was meant to provide access to emergency medical care irrespective of financial resources. Yet, many Level I trauma Centers have raised concerns about the financial drivers influencing transfer. OBJECTIVE: : To study the relationship between insurance status and transfer, we focused on patients with mild head injury to tease apart the medical necessity for transfer from other potential drivers, such as financial factors. METHODS: Using the 2002 to 2006 American College of Surgeons National Trauma Databank and Massachusetts General Hospital's Trauma Databank from 1993 to 2009, we conducted a retrospective study and limited our population to patients with mild head injuries and mild to moderate systemic injuries as determined by the Glasgow Coma Scale, Abbreviated Injury Scale, or Injury Severity Score. Statistical analyses were conducted with STATA software. RESULTS: In a nationalized database, (1) uninsured patients with mild head injury are more likely to be transferred out of a Level II or III facility (adjusted odds ratio [OR]: 2.07; P = .000) compared with privately insured patients and (2) uninsured patients are less likely to be accepted by a Level II or III facility for transfer compared with privately insured patients (adjusted OR: = .143; P = .000l). For transfers received by 1 Level I trauma center (Massachusetts General Hospital), uninsured patients are more likely to be transferred to (1) Massachusetts General Hospital between midnight and 6 am (adjusted OR: 5.201; P = .000) compared with other time periods throughout the day and (2) Massachusetts General Hospital on Sunday (adjusted OR: 1.09; P = .000) compared with other days of the week. CONCLUSION: Insurance status appears to influence transfer patterns.
Authors: Kimon L H Ioannides; Avi Baehr; David N Karp; Douglas J Wiebe; Brendan G Carr; Daniel N Holena; M Kit Delgado Journal: Acad Emerg Med Date: 2018-05-31 Impact factor: 3.451
Authors: Kristy Kummerow Broman; Sharon Phillips; Rachel M Hayes; Jesse M Ehrenfeld; Michael D Holzman; Kenneth Sharp; Sunil Kripalani; Benjamin K Poulose Journal: J Surg Res Date: 2015-08-20 Impact factor: 2.192
Authors: Brian P Walcott; Jean-Valery Coumans; Matthew K Mian; Brian V Nahed; Kristopher T Kahle Journal: PLoS One Date: 2011-10-12 Impact factor: 3.240