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San Diego County Patient Destination Trial

San Diego County Patient Destination Trial. Gary M. Vilke, M.D. Associate Professor of Clinical Medicine Interim Medical Director, San Diego County EMS. Acknowledgements. Edward M. Castillo, PhD Theodore C. Chan, MD Roneet Lev, MD Marcelyn A. Metz, RN Patricia A. Murrin, RN, MPH.

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San Diego County Patient Destination Trial

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  1. San Diego County Patient Destination Trial Gary M. Vilke, M.D. Associate Professor of Clinical Medicine Interim Medical Director, San Diego County EMS

  2. Acknowledgements • Edward M. Castillo, PhD • Theodore C. Chan, MD • Roneet Lev, MD • Marcelyn A. Metz, RN • Patricia A. Murrin, RN, MPH

  3. Background: The Problem • Emergency Department bypass hours up • Many patients unable to get to ED of choice • On average, it takes 6 hours to repatriate a patient • Compounded by fewer beds and increasing population in the county

  4. Background: County population up

  5. Background: Population getting older

  6. Background: Population getting older

  7. Background: Number of ALS Transports up

  8. Background: ED visits up

  9. Background: ED beds down

  10. Background: Acute care beds down

  11. Background: ICU beds down

  12. Need to use our existing ED beds more efficiently Without the luxury of additional funding!

  13. Background: Previous work • Two neighboring hospitals • One secured funding to stay off diversion • The other made no changes • Data collected week before and week after trial period Vilke GM, Simmons C, Brown L, Skogland P, Guss DA: Approach to decreasing emergency department ambulance diversion hours. Acad Emerg Med 2001;8(5):526

  14. Background: Previous work Week Before Test Week Week After P-Value Hosp A Diversion hrs 19.6 1.4 39.4 p<0.05 Hosp A Diverted pts 19 2 29 p<0.05 Hosp B Diversion hrs 27.7 0 26.3 p<0.05 Hosp Diverted pts 24 0 9 p<0.05

  15. Background: Previous work The oscillatory phenomenon, when one hospital went on diversion leading to a disproportionate flow of ambulance traffic to the neighboring facility that subsequently was forced to go on diversion, went away during the trial week.

  16. Background: Previous work • Five regionally located hospitals • Commitment to try to stay off diversion for a week • Measurements the week before and after the trial week Vilke GM, Loh A: A prospective study of minimizing ambulance diversion and its effect on emergency department census and hospital admissions. Prehosp Emerg Care 2003;7(1):171.

  17. Background: Previous work Week 1 Week 2 Week 3 Ambulance runs 685 717 709 Diversion hours 112.2 0.3 47 No changes in numbers or percents of ED patients, med/surg admissions, ICU admissions. There were significant decreases in patients being diverted and trends to decreased numbers of patient requiring interfacility transfer out. No reported “unsafe” events in the ED during the trial week.

  18. Methods: Study site/type • San Diego County • 2.8 million people (urban, suburban, rural and remote) • 150,000 annual ALS transports • 21 Emergency Departments (2 military) • Prospective observational

  19. Methods: Participants • SDMS EMS Oversight Committee • Emergency Physicians • Nurse Managers • County EMS personnel • Prehospital Agencies • Hospital Association

  20. Methods: Why the study needed to be done • Patient care issues • System collapsing • Previous work supported a county-wide trial • Fear of non-medical people “outlawing” diversion

  21. Methods: The Rules • An ED can only go on diversion for an hour at a time, then must take itself off • It can only go back on diversion after taking an ambulance patient • While on diversion, the ED must take its own requested patients • All hospitals agreed to participate (n=21)

  22. Methods: Measurements • Baseline data obtained • Trial started in October, 2002 • Followed • Numbers of patients who requested an ED and could not get there due to diversion issues • Diversion hours • Duration of diversion events • Numbers of ambulance runs

  23. Results: Trial Data

  24. Results: Trial Data

  25. ALS Transfers

  26. Bypass Hours

  27. Diverted Patients

  28. Results: Comparison to historical data

  29. Results: Comparison with historical data

  30. Limitations • Observational study • Computer database, occasionally, computers went down • Cannot account for actual patient or paramedic requests

  31. Conclusions: • A voluntary community-wide approach to attempt to get ambulance patients to requested facilities and to decrease ambulance diversion can be effective in attaining these goals.

  32. Follow-up : • The committee unanimously voted to stop this as a trial and to continue this as a process • Meetings will occur, at minimum, monthly for oversight

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