BACKGROUND: As we enter the brave new world of the Patient Protection and Affordable Care Act of 2010, it is imperative that trauma centers provide not only excellent but also cost-effective trauma care. To that end, we sought to determine those factors that contribute significantly to barrier days (BDs), when a patient is medically cleared for discharge but unable to leave the hospital. We hypothesized that there would be significant demographic and payor factors associated with BDs. METHODS: All trauma admissions to a Level II trauma center discharged alive from 2010 to 2012 were queried from the trauma registry. BDs were identified and recorded at daily sign-out. Patients with a hospital length of stay of 24 hours or less or transferred to another hospital were excluded. Univariate logistic regression was used to analyze which factors were significant (p ≤ 0.05) for BDs. Significant variables were then included in a multivariate logistic regression model. RESULTS: A total of 3,056 patients were included in the study, 105 (3.44%) of whom had at least one BD. Multivariate analysis revealed that patients awaiting nursing home placement and rehabilitation placement were at 6.39 and 2.79 times higher odds of having significant barriers to discharge, respectively, compared with patients who were discharged home. The multivariate model also showed that Medicaid coverage, one or more comorbidities, Injury Severity Score of 9 or greater, and one or more ventilation days had a significant correlation with the incidence of BDs. CONCLUSION: This study suggests that discharge destination is a significant factor associated with BDs. Understanding what type of patient is prone to develop barriers to discharge will allow case managers and social workers to intervene with discharge planning early in that patient's hospital course to secure placement and possibly reduce health care costs and improve functional outcome. LEVEL OF EVIDENCE: Prognostic/epidemiologic study, level III.
BACKGROUND: As we enter the brave new world of the Patient Protection and Affordable Care Act of 2010, it is imperative that trauma centers provide not only excellent but also cost-effective trauma care. To that end, we sought to determine those factors that contribute significantly to barrier days (BDs), when a patient is medically cleared for discharge but unable to leave the hospital. We hypothesized that there would be significant demographic and payor factors associated with BDs. METHODS: All trauma admissions to a Level II trauma center discharged alive from 2010 to 2012 were queried from the trauma registry. BDs were identified and recorded at daily sign-out. Patients with a hospital length of stay of 24 hours or less or transferred to another hospital were excluded. Univariate logistic regression was used to analyze which factors were significant (p ≤ 0.05) for BDs. Significant variables were then included in a multivariate logistic regression model. RESULTS: A total of 3,056 patients were included in the study, 105 (3.44%) of whom had at least one BD. Multivariate analysis revealed that patients awaiting nursing home placement and rehabilitation placement were at 6.39 and 2.79 times higher odds of having significant barriers to discharge, respectively, compared with patients who were discharged home. The multivariate model also showed that Medicaid coverage, one or more comorbidities, Injury Severity Score of 9 or greater, and one or more ventilation days had a significant correlation with the incidence of BDs. CONCLUSION: This study suggests that discharge destination is a significant factor associated with BDs. Understanding what type of patient is prone to develop barriers to discharge will allow case managers and social workers to intervene with discharge planning early in that patient's hospital course to secure placement and possibly reduce health care costs and improve functional outcome. LEVEL OF EVIDENCE: Prognostic/epidemiologic study, level III.
Authors: Kerry Kuluski; Julia W Ho; Lauren Cadel; Sara Shearkhani; Charissa Levy; Michelle Marcinow; Allie Peckham; Jane Sandercock; Donald J Willison; Sara Jt Guilcher Journal: Health Expect Date: 2020-06-30 Impact factor: 3.377
Authors: Lauren Cadel; Sara J T Guilcher; Kristina Marie Kokorelias; Jason Sutherland; Jon Glasby; Tara Kiran; Kerry Kuluski Journal: BMJ Open Date: 2021-02-11 Impact factor: 2.692
Authors: Amada Pellico-López; David Cantarero; Ana Fernández-Feito; Paula Parás-Bravo; Joaquín Cayón de Las Cuevas; María Paz-Zulueta Journal: Int J Environ Res Public Health Date: 2019-09-09 Impact factor: 3.390