1. Ambulance diversions following public hospital emergency department closures
- Author
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Charleen Hsuan, Jack Needleman, Renee Y. Hsia, Ninez A. Ponce, Jill R. Horwitz, and Thomas W. Rice
- Subjects
Time Factors ,Discharge data ,emergency department ,Policy and Administration ,8.1 Organisation and delivery of services ,ambulance diversion ,California ,Hospitals, Private ,03 medical and health sciences ,Hospital ,0302 clinical medicine ,Residence Characteristics ,Clinical Research ,Medicine ,Ambulance Diversion ,Humans ,030212 general & internal medicine ,Health planning ,Probability ,Bed Occupancy ,access to care ,Emergency Service ,business.industry ,Hospitals, Public ,030503 health policy & services ,Health Policy ,Emergency department ,respiratory system ,Health Policy and Organizational Behavior ,Public ,medicine.disease ,Hospitals ,Private ,Socioeconomic Factors ,Hospital Bed Capacity ,Public hospital ,Public Health and Health Services ,Health Policy & Services ,Extraction methods ,Medical emergency ,0305 other medical science ,business ,Emergency Service, Hospital ,human activities ,Health and social care services research - Abstract
ObjectiveTo 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 settingAmbulance 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 designWe 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 methodsN/A.Principal findingsHospitals are 3.6 percent more likely to declare diversions if neighboring diverting hospitals are public vs private (P 
- Published
- 2019