1.The Relationship between Clinical Outcome in Subarachnoidal Hemorrhage Patients with Emergency Medical Service Usage and Interhospital Transfer.
Sang Hwa LEE ; Kyoung Jun SONG ; Sang Do SHIN ; Young Sun RO ; Min Jung KIM ; James F HOLMES
Journal of Korean Medical Science 2015;30(12):1889-1895
Prompt diagnosis and appropriate transport of patients with subarachnoid hemorrhage (SAH) is critical. We aimed to study differences in clinical outcomes by emergency medical services (EMS) usage and interhospital transfer in patients with SAH. We analyzed the CAVAS (CArdioVAscular disease Surveillance) database which is an emergency department-based, national cohort of cardiovascular disease in Korea. Eligible patients were adults with non-traumatic SAH diagnosed between January 2007 and December 2012. We excluded those whose EMS use and intershopital transfer data was unknown. The primary and secondary outcomes were mortality and neurologic status at discharge respectively. We compared the outcomes between each group using multivariable logistic regressions, adjusting for sex, age, underlying disease, visit time and social history. Of 5,461 patients with SAH, a total of 2,645 were enrolled. Among those, 258 used EMS and were transferred from another hospital, 686 used EMS only, 1,244 were transferred only, and 457 did not use EMS nor were transferred. In the regression analysis, mortality was higher in patients who used EMS and were transferred (OR 1.40, 95% CI 1.02-1.92), but neurologic disability was not meaningfully different by EMS usage and interhospital transfer. In Korea, SAH patients' mortality is higher in the case of EMS use or receiving interhospital transfer.
Adult
;
Aged
;
Emergency Medical Services/*utilization
;
Female
;
Humans
;
Logistic Models
;
Male
;
Middle Aged
;
Outcome Assessment (Health Care)
;
Patient Transfer/*utilization
;
Republic of Korea/epidemiology
;
Retrospective Studies
;
Subarachnoid Hemorrhage/mortality/*therapy
2.The Long-Term Effect of an Independent Capacity Protocol on Emergency Department Length of Stay: A before and after Study.
Won Chul CHA ; Kyoung Jun SONG ; Jin Sung CHO ; Adam J SINGER ; Sang Do SHIN
Yonsei Medical Journal 2015;56(5):1428-1436
PURPOSE: In this study, we determined the long-term effects of the Independent Capacity Protocol (ICP), in which the emergency department (ED) is temporarily used to stabilize patients, followed by transfer of patients to other facilities when necessary, on crowding metrics. MATERIALS AND METHODS: A before and after study design was used to determine the effects of the ICP on patient outcomes in an academic, urban, tertiary care hospital. The ICP was introduced on July 1, 2007 and the before period included patients presenting to the ED from January 1, 2005 to June 31, 2007. The after period began three months after implementing the ICP from October 1, 2007 to December 31, 2010. The main outcomes were the ED length of stay (LOS) and the total hospital LOS of admitted patients. The mean number of monthly ED visits and the rate of inter-facility transfers between emergency departments were also determined. A piecewise regression analysis, according to observation time intervals, was used to determine the effect of the ICP on the outcomes. RESULTS: During the study period the number of ED visits significantly increased. The intercept for overall ED LOS after intervention from the before-period decreased from 8.51 to 7.98 hours [difference 0.52, 95% confidence interval (CI): 0.04 to 1.01] (p=0.03), and the slope decreased from -0.0110 to -0.0179 hour/week (difference 0.0069, 95% CI: 0.0012 to 0.0125) (p=0.02). CONCLUSION: Implementation of the ICP was associated with a sustainable reduction in ED LOS and time to admission over a six-year period.
Aged
;
*Clinical Protocols
;
*Crowding
;
Efficiency, Organizational
;
Emergency Service, Hospital/*organization & administration/utilization
;
Female
;
Hospital Planning/*methods
;
Hospitals, Urban/*organization & administration/utilization
;
Humans
;
Length of Stay/*statistics & numerical data
;
Male
;
Outcome and Process Assessment (Health Care)
;
Patient Admission/statistics & numerical data
;
Patient Transfer/statistics & numerical data
;
Regression Analysis
;
Time
;
Time Factors
;
Triage