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Geographic information system data from ambulances applied in the emergency department: effects on patient reception.

ABSTRACT: Emergency departments (ED) recognize crowding and handover from prehospital to in-hospital settings to be major challenges. Prehospital Geographical Information Systems (GIS) may be a promising tool to address such issues. In this study, the use of prehospital GIS data was implemented in an ED in order to investigate its effect on 1) wait time and unprepared activations of Trauma Teams (TT) and Medical Emergency Teams (MET) and 2) nurses' perceptions regarding patient reception, workflow and resource utilization.From May 1st 2014 to October 31th 2014, GIS data was displayed in the ED. Data included real-time estimated time of arrival, distance to ED, dispatch criteria, patient data and ambulance contact information. Data was used by coordinating nurses for time activation of TT and MET involved in the initial treatment of severely-injured or critically-ill patients. In addition, it was used as a logistics tool for handling all other patients transported by ambulance to the ED.The study followed a mixed-methods design, consisting of a quantitative study (before and after intervention) and a qualitative study (survey and interviews).Participants included all patients received by TT or MET and coordinating nurses in the ED.1.) Quantitative: 599 patients were included. The median wait time for TT and MET was 5 min both before and after the GIS intervention, showing no difference (p?=?0.18). A significant reduction in the subgroup of waits >10 min was found (p? 10 minutes may have contributed to the overall perception of reduced wait time, as avoidance of long waits is clinically more important than reduction in the median wait time.A comparison of the use of prehospital GIS data in the ED with the control period showed no effect on median wait time for TT and MET, however, the number of waits of >10 min was reduced. On the other hand, nurses perceived implementation of GIS data as improving workflow, resource utilization and quality of all patients' reception, critically as well as non-critically ill. There were no substantial disadvantages to the GIS application.ClinicalTrials.gov (NCT02188966).

SUBMITTER: Raaber N

PROVIDER: S-EPMC4815218 | biostudies-literature | 2016 Mar

REPOSITORIES: biostudies-literature

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Geographic information system data from ambulances applied in the emergency department: effects on patient reception.

Raaber Nikolaj N Duvald Iben I Riddervold Ingunn I Christensen Erika F EF Kirkegaard Hans H

Scandinavian journal of trauma, resuscitation and emergency medicine 20160331

<h4>Background</h4>Emergency departments (ED) recognize crowding and handover from prehospital to in-hospital settings to be major challenges. Prehospital Geographical Information Systems (GIS) may be a promising tool to address such issues. In this study, the use of prehospital GIS data was implemented in an ED in order to investigate its effect on 1) wait time and unprepared activations of Trauma Teams (TT) and Medical Emergency Teams (MET) and 2) nurses' perceptions regarding patient receptio ...[more]

PMID: 27029399

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Project description:ObjectivesFocused research on pediatric agitation is lacking despite being a common mental and behavioral health (MBH) emergency. Prevalence of pediatric agitation remains unknown, and prior reports may have underestimated the rate of restraint use for pediatric agitation. This is the largest study to provide a focused evaluation of the prevalence and predictors of pediatric agitation and restraint use as well as the emergency department (ED) length of stay (LOS) and admission rates for agitated patients.MethodsWe reviewed records of patients aged ≤18 years with MBH needs who visited the pediatric ED of a tertiary care hospital during a 3-year-period. We identified and ascertained agitated/aggressive patients using documented signs/symptoms, International Classification of Diseases, Tenth Revision codes, and Behavioral Activity Rating Scale scores. We performed descriptive and multivariable analyses using SAS 9.4 (SAS Institute).ResultsOf 10,172 patients with MBH needs, 1408 (13.8%) were agitated/aggressive. Of these (n = 1408), 63.7% were boys, and the mean age was 11.9 years. Among agitated patients, the prevalence of restraint use was 28.7%, with a predominance of pharmacologic restraint with atypical antipsychotics. Non-Hispanic Blacks were more likely to be agitated (adjusted odd ratio [aOR], 1.8; 95% CI, 1.2-2.7), but not restrained (aOR, 0.8; 95% CI, 0.3-1.8). Predictors of restraint use include history of attention deficit hyperactivity disorder (aOR, 2.2; 95% CI, 1.5-3.3), autism (aOR, 2.9; 95% CI, 1.9-4.5), conduct disorder (aOR, 1.7; 95% CI, 1.2-2.5), psychosis (aOR, 14.3; 95% CI, 2.5-271.8), and substance use/overdose states (aOR, 1.9; CI, 1.2-3.2). Restrained agitated patients had longer ED LOS (8.4 vs 5.0 hours; P < 0.0001) and higher admission rates (aOR, 2.6; 95% CI, 2.0-3.5). Depression (aOR, 0.4; 95% CI, 0.3-0.5) and suicidality (aOR, 0.2; 95% CI, 0.1-0.3) were protective against agitation and restraint use.ConclusionPrevalence of acute agitation and restraint use in pediatric EDs may be much higher than previously reported. Predictors of acute agitation and restraint use among MBH patients were consistent with prior reports. Restrained agitated patients had longer ED LOS and higher admission rates.

Project description:ObjectivesEmergency department (ED) crowding is an increasing problem associated with adverse patient outcomes. ED expansion is one method advocated to reduce ED crowding. The objective of this analysis was to determine the effect of ED expansion on measures of ED crowding.MethodsThis was a retrospective study using administrative data from two 11-month periods before and after the expansion of an ED from 33 to 53 adult beds in an academic medical center. ED volume, staffing, and hospital admission and occupancy data were obtained either from the electronic health record (EHR) or from administrative records. The primary outcome was the rate of patients who left without being treated (LWBT), and the secondary outcome was total ED boarding time for admitted patients. A multivariable robust linear regression model was used to determine whether ED expansion was associated with the outcome measures.ResultsThe mean (±SD) daily adult volume was 128 (±14) patients before expansion and 145 (±17) patients after. The percentage of patients who LWBT was unchanged: 9.0% before expansion versus 8.3% after expansion (difference = 0.6%, 95% confidence interval [CI] = -0.16% to 1.4%). Total ED boarding time increased from 160 to 180 hours/day (difference = 20 hours, 95% CI = 8 to 32 hours). After daily ED volume, low-acuity area volume, daily wait time, daily boarding hours, and nurse staffing were adjusted for, the percentage of patients who LWBT was not independently associated with ED expansion (p = 0.053). After ED admissions, ED intensive care unit (ICU) admissions, elective surgical admissions, hospital occupancy rate, ICU occupancy rate, and number of operational ICU beds were adjusted for, the increase in ED boarding hours was independently associated with the ED expansion (p = 0.005).ConclusionsAn increase in ED bed capacity was associated with no significant change in the percentage of patients who LWBT, but had an unintended consequence of an increase in ED boarding hours. ED expansion alone does not appear to be an adequate solution to ED crowding.

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Geographic information system data from ambulances applied in the emergency department: effects on patient reception.

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Geographic information system data from ambulances applied in the emergency department: effects on patient reception.

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