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Ambulance diversions following public hospital emergency department closures.

ABSTRACT: OBJECTIVE:To examine whether hospitals are more likely to temporarily close their emergency departments (EDs) to ambulances (through ambulance diversions) if neighboring diverting hospitals are public vs private. DATA SOURCES/STUDY SETTING:Ambulance diversion logs for California hospitals, discharge data, and hospital characteristics data from California's Office of Statewide Health Planning and Development and the American Hospital Association (2007). STUDY DESIGN:We match public and private (nonprofit or for-profit) hospitals by distance and size. We use random-effects models examining diversion probability and timing of private hospitals following diversions by neighboring public vs matched private hospitals. DATA COLLECTION/EXTRACTION METHODS:N/A. PRINCIPAL FINDINGS:Hospitals are 3.6 percent more likely to declare diversions if neighboring diverting hospitals are public vs private (P < 0.001). Hospitals declaring diversions have lower ED occupancy (P < 0.001) after neighboring public (vs private) hospitals divert. Hospitals have 4.2 percent shorter diversions if neighboring diverting hospitals are public vs private (P < 0.001). When the neighboring hospital ends its diversion first, hospitals terminate diversions 4.2 percent sooner if the neighboring hospital is public vs private (P = 0.022). CONCLUSIONS:Sample hospitals respond differently to diversions by neighboring public (vs private) hospitals, suggesting that these hospitals might be strategically declaring ambulance diversions to avoid treating low-paying patients served by public hospitals.

SUBMITTER: Hsuan C

PROVIDER: S-EPMC6606538 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature

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Ambulance diversions following public hospital emergency department closures.

Hsuan Charleen C Hsia Renee Y RY Horwitz Jill R JR Ponce Ninez A NA Rice Thomas T Needleman Jack J

Health services research 20190402 4

<h4>Objective</h4>To examine whether hospitals are more likely to temporarily close their emergency departments (EDs) to ambulances (through ambulance diversions) if neighboring diverting hospitals are public vs private.<h4>Data sources/study setting</h4>Ambulance diversion logs for California hospitals, discharge data, and hospital characteristics data from California's Office of Statewide Health Planning and Development and the American Hospital Association (2007).<h4>Study design</h4>We match ...[more]

PMID: 30941753

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Project description:BackgroundPatients receiving maintenance hemodialysis frequently require ambulance transport to the emergency department (ambulance-ED transport). Identifying predictors of outcomes after ambulance-ED transport, especially the need for timely dialysis, is important to health care providers.ObjectiveThe purpose of this study was to derive a risk-prediction model for urgent dialysis after ambulance-ED transport.DesignObservational cohort study.Setting and patientsAll ambulance-ED transports among incident and prevalent patients receiving maintenance hemodialysis affiliated with a regional dialysis program (catchment area of approximately 750 000 individuals) from 2014 to 2018.MeasurementsPatients' vital signs (systolic blood pressure, oxygen saturation, respiratory rate, and heart rate) at the time of paramedic transport and time since last dialysis were utilized as predictors for the outcome of interest. The primary outcome was urgent dialysis (defined as dialysis in a monitored setting within 24 hours of ED arrival or dialysis within 24 hours with the first ED patient blood potassium level >6.5 mmol/L) for an unscheduled indication. Secondary outcomes included, hospitalization, hospital length of stay, and in-hospital mortality.MethodsA logistic regression model to predict outcomes of urgent dialysis. Discrimination and calibration were assessed using the C-statistic and Hosmer-Lemeshow test.ResultsAmong 878 ED visits, 63 (7.2%) required urgent dialysis. Hypoxemia (odds ratio [OR]: 4.04, 95% confidence interval [CI]: 1.75-9.33) and time from last dialysis of 24 to 48 hours (OR: 3.43, 95% CI: 1.05-11.9) and >48 hours (OR: 9.22, 95% CI: 3.37-25.23) were strongly associated with urgent dialysis. A risk-prediction model incorporating patients' vital signs and time from last dialysis had good discrimination (C-statistic 0.8217) and calibration (Hosmer-Lemeshow goodness of fit P value .8899). Urgent dialysis patients were more likely to be hospitalized (63% vs 34%), but there were no differences in inpatient mortality or length of stay.LimitationsMissing data, requires external validation.ConclusionWe derived a risk-prediction model for urgent dialysis that may better guide appropriate transport and care for patients requiring ambulance-ED transport.

Project description:Clinical handovers of patient care among healthcare professionals is vulnerable to the loss of important clinical information. A verbal report is typically provided by paramedics and documented by emergency department (ED) triage nurses. Paramedics subsequently complete a patient care report which is submitted electronically. This emergency medical system (EMS) patient care report often contains details of paramedic assessment and management that is not all captured in the nursing triage note. EMS patient care reports are often unavailable for review by emergency physicians and nurses. Two processes occur in the distribution of EMS patient care reports. The first is an external process to the ED that is influenced by the prehospital emergency medical system and results in the report being faxed to the ED. The second process is internal to the ED that requires clerical staff to distribute the fax report to accompany patient charts. A baseline audit measured the percentage of EMS patient care reports that were available to emergency physicians at the time of initial patient assessments and showed a wide variation in the availability of EMS reports. Also measured were the time intervals from patient transfer from EMS to ED stretcher until the EMS report was received by fax (external process measure) and the time from receiving the EMS fax report until distribution to patient chart (internal process measure). These baseline measures showed a wide variation in the time it takes to receive the EMS reports by fax and to distribute reports. Improvement strategies consisted of: 1. Educating ED clerical staff about the importance of EMS reports 2. Implementing a new process to minimize ED clerical staff handling of EMS reports for nonactive ED patients 3. Elimination of the automatic retrieval of old hospital charts and their distribution for ED patients 4. Introduction of an electronic dashboard for patients arriving by ambulance to facilitate more efficient distribution of EMS reports. Implementation of change strategies did not result in a significant improvement in the percentage of EMS reports available to emergency physicians at the time of initial patient assessment. However, tracking both external and internal processes that influence EMS report availability showed the internal process time from fax report receipt to distribution significantly improved. This improvement reflected the change strategies that were all directed at improving the internal process. EMS patient care reports are more efficiently processed and distributed in the ED due to change strategies implemented that targeted the ED's internal process of EMS report distribution. The external process responsible for transmitting EMS reports to the ED is the limiting factor that prevents consistent timely access of EMS reports by emergency physicians and will require dedicated improvement strategies.

Project description:OBJECTIVE:To investigate the appropriateness of cases presenting to the emergency department (ED) following ambulance-based secondary telephone triage. DESIGN:A pragmatic retrospective cohort analysis of all the planned and unplanned ED presentations within 48 hours of a secondary telephone triage. SETTING:The secondary telephone triage service, called the Referral Service, and the hospitals were located in metropolitan Melbourne, Australia and operated 24 hours a day, servicing 4.25 million people. The Referral Service provides an in-depth secondary triage of cases classified as low acuity when calling the Australian emergency telephone number. POPULATION:Cases triaged by the Referral Service between September 2009 and June 2012 were linked to ED and hospital admission records (N=44,523). Planned ED presentations were cases referred to the ED following the secondary triage, unplanned ED presentations were cases that presented despite being referred to alternative care pathways. MAIN OUTCOME MEASURES:Appropriateness was measured using an ED suitability definition and hospital admission rates. These were compared with mean population data which consisted of all of the ED presentations for the state (termed the 'average Victorian ED presentation'). RESULTS:Planned ED presentations were more likely to be ED suitable than unplanned ED presentations (OR 1.62; 95% CI 1.5 to 1.7; p<0.001) and the average Victorian ED presentation (OR 1.85; 95% CI 1.01 to 3.4; p=0.046). They were also more likely to be admitted to the hospital than the unplanned ED presentation (OR 1.5; 95% CI 1.4 to 1.6; p<0.001) and the average Victorian ED presentation (OR 2.3, 95% CI 2.24 to 2.33; p<0.001). Just under 15% of cases diverted away from the emergency care pathways presented in the ED (unplanned ED attendances), and 9.5% of all the alternative care pathway cases were classified as ED suitable and 6.5% were admitted to hospital. CONCLUSIONS:Secondary telephone triage was able to appropriately identify many ED suitable cases, and while most cases referred to alternative care pathways did not present in the ED. Further research is required to establish that these were not inappropriately triaged away from the emergency care pathways.

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Ambulance diversions following public hospital emergency department closures.

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Ambulance diversions following public hospital emergency department closures.

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