1887
Volume 2017, Issue 1
  • ISSN: 1999-7086
  • EISSN: 1999-7094

Abstract

Standard emergency department (ED) operation goals include minimization of the time interval between patients' initial ED presentation and initial emergency physician (EP) evaluation. Following up on previous work defining factors influencing the “time to physician” () in a busy ED, the current study was undertaken to evaluate whether was adversely impacted by the ED's partial replacement of specialist-grade EPs with emergency medicine (EM) trainees (at the resident and fellow level). This retrospective study was conducted for four months (September–December 2015) using an ED administrative database (EDAD) in an urban academic tertiary ED with an annual census of approximately 500,000; during the four study months, the ED census was 165,969. To minimize confounding by time of day and related factors, data analysis focused solely on the “day shift” (0600–1400) of each of the study period's 122 days. EDAD data were combined with EP rostering data to generate a multivariate linear regression model that assessed the dependent variable , for significant changes associated with increasing proportion – not necessarily always the same as increasing the absolute number of trainees (i.e., summed residents and fellows as a total percent of all on-duty EPs). There were trainees in the study ED throughout the study, but the trainee numbers as a proportion of the overall physician staffing fluctuated, thus providing a basis for analysis. The model adjusted for covariates previously demonstrated to impact at the study center. Analyses were conducted with Stata 14MP, with statistical significance defined at  < 0.05 and confidence intervals (CIs) reported at the 95% level. In an acceptable regression model that adjusted for multiple parameters influencing , the introduction of a covariate representing the proportion of on-duty trainee physicians was very small in magnitude (β estimate 0.07, 95% CI − 0.16 to 0.30) and not statistically significant ( = 0.53). A multivariate analysis adjusting for variables contributing to showed no indication of adverse impact from partial replacement of board-certified specialist-grade EPs with EM trainees given adequate supervision by properly trained faculty.

Loading

Article metrics loading...

/content/journals/10.5339/jemtac.2017.7
2017-09-19
2024-04-20
Loading full text...

Full text loading...

/deliver/fulltext/jemtac/2017/1/jemtac.2017.7.html?itemId=/content/journals/10.5339/jemtac.2017.7&mimeType=html&fmt=ahah

References

  1. Rowe BH, Channan P, Bullard M, Blitz S, Duncan Saunders L, Rosychuk RJ, Lari H, Craig WR, Holroyd BR. Characteristics of patients who leave emergency departments without being seen. Acad Emerg Med. 2006; 13::848852.
    [Google Scholar]
  2. Kennedy M, MacBean CE, Brand C, Sundararajan V, Taylor DM. Review article: Leaving the emergency department without being seen. Emerg Med Australas. 2008; 20::306313.
    [Google Scholar]
  3. Sorup CM, Jacobsen P, Forberg JL. Evaluation of emergency department performance – a systematic review on recommended performance and quality-in-care measures. Scand J Trauma Resusc Emerg Med. 2013; 21::62.
    [Google Scholar]
  4. Liu S, Nie H, Huang W, Liu X, Luo L, Lau WB, Cao Y. Characteristics of patients who leave the emergency department without being seen: The first report in China. Emerg Med Australas. 2014; 26::243248.
    [Google Scholar]
  5. Fayyaz J, Khursheed M, Mir MU, Mehmood A. Missing the boat: Odds for the patients who leave ED without being seen. BMC Emerg Med. 2013; 13::1.
    [Google Scholar]
  6. McHugh M, Van Dyke KJ, Howell E, Adams F, Moss D, Yonek J. Changes in patient flow among five hospitals participating in a learning collaborative. J Healthc Qual. 2013; 35::2129.
    [Google Scholar]
  7. Carron PN, Yersin B, Trueb L, Gonin P, Hugli O. Missed opportunities: Evolution of patients leaving without being seen or against medical advice during a six-year period in a Swiss tertiary hospital emergency department. BioMed Res Int. 2014; 2014::690368.
    [Google Scholar]
  8. Lucas J, Batt RJ, Soremekun OA. Setting wait times to achieve targeted left-without-being-seen rates. Am J Emerg Med. 2014; 32::342345.
    [Google Scholar]
  9. Stang AS, McCusker J, Ciampi A, Strumpf E. Emergency department conditions associated with the number of patients who leave a pediatric emergency department before physician assessment. Pediatr Emerg Care. 2013; 29::10821090.
    [Google Scholar]
  10. Wuerz RC, Milne LW, Eitel DR, Travers D, Gilboy N. Reliability and validity of a new five-level triage instrument. Acad Emerg Med. 2000; 7::236242.
    [Google Scholar]
  11. Elkum NB, Barrett C, Al-Omran H. Canadian Emergency Department Triage and Acuity Scale: Implementation in a tertiary care center in Saudi Arabia. BMC Emerg Med. 2011; 11::3.
    [Google Scholar]
  12. Pielsticker S, Whelan L, Arthur A, Thomas SH. Identifying patient door-to-room goals that minimize left-without-being-seen rates. West J Emerg Med. 2015; 16::611618.
    [Google Scholar]
  13. Hosmer D, Lemeshow S, Sturdivant R. Applied Logistic Regression. 3rd ed. Hoboken, NJ: John Wiley & Sons 2013.
    [Google Scholar]
  14. Mitchell MN. Interpreting and Visualizing Regression Models using STATA. 1st ed. College Station TX: Stata Press 2012.
    [Google Scholar]
  15. Pathan S, Moinudheen J, Jenkins DW, Silva A, et al.  Marginal analysis in assessing factors contributing time to physician in Emergency Department using operations data. Qatar Med J. 2016; 2016:2:117.
    [Google Scholar]
  16. Ng Y, Lewena S. Leaving the paediatric emergency department without being seen: Understanding the patient and the risks. J Paediatr Child Health. 2012; 48::1015.
    [Google Scholar]
  17. Clarey AJ, Cooke MW. Patients who leave emergency departments without being seen: Literature review and English data analysis. Emerg Med J. 2012; 29::617621.
    [Google Scholar]
  18. Welch S, Dalto J. Improving door-to-physician times in 2 community hospital emergency departments. Am J Med Qual. 2011; 26::138144.
    [Google Scholar]
  19. Soremekun OA, Biddinger PD, White BA, Sinclair JR, Chang Y, Carignan SB, Brown DFM. Operational and financial impact of physician screening in the ED. Am J Emerg Med. 2012; 30::532539.
    [Google Scholar]
  20. Whelan L, Burns B, Brantley M, Haas T, Arthur AO, Thomas SH. Mathematical modeling of the impact of hospital occupancy: When do dwindling hospital beds cause ED gridlock? Adv Emerg Med. 2014; 2014::5.
    [Google Scholar]
  21. McHugh M, Kang R, Cohen AB, Restuccia JD, Hasnain-Wynia R. Reporting information on emergency department crowding to the hospital board and delivery of time-sensitive care. Jt Comm J Qual Patient Saf. 2012; 38::229234.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/journals/10.5339/jemtac.2017.7
Loading
/content/journals/10.5339/jemtac.2017.7
Loading

Data & Media loading...

  • Article Type: Research Article
Keyword(s): emergency departmentoperational dataQatarresidentsspecialist-grade emergency physicians and trainees
This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error