Factors Relating to Decision Delay in the Emergency Department: Effects of Diagnostic Tests and Consultations

References

• Darraj A, Hudays A, Hazazi A, Hobani A, Alghamdi A. The association between emergency department overcrowding and delay in treatment: a systematic review. Healthcare. 2023;11(3):385–396. doi:10.3390/healthcare11030385
   Web of Science ®Google Scholar
• Beştemir A, Aydın H. 300 million patient examinations per year; evaluation of emergency and polyclinic services of 2nd and 3rd stage public health facilities in Türkiye. Sakarya Med J. 2022;12(3):496–502.
   Google Scholar
• Ataman MG, Sarıyer G. Predicting waiting and treatment times in emergency departments using ordinal logistic regression models. Am J Emerg Med. 2021;46:45–50. doi:10.1016/j.ajem.2021.02.061
   PubMed Web of Science ®Google Scholar
• Lindner G, Woitok BK. Emergency department overcrowding. Wien Klin Wochenschr. 2021;133(5):229–233. doi:10.1007/s00508-019-01596-7
   PubMed Web of Science ®Google Scholar
• Sarıyer G, Ataman MG, Kızıloğlu İ. Factors affecting length of stay in the emergency department: a research from an operational viewpoint. Int J Healthc Manag. 2020;13(sup1):173–182. doi:10.1080/20479700.2018.1489992
   Web of Science ®Google Scholar
• Yarmohammadian MH, Rezaei F, Haghshenas A, et al. Overcrowding in emergency departments: a review of strategies to decrease future challenges. J Res Med Sci. 2017;22:23. doi:10.4103/1735-1995.200277
   PubMed Web of Science ®Google Scholar
• Hoot N, Aronsky D. An early warning system for overcrowding in the emergency department. In: AMIA Annual Symposium Proceedings 2006. 2006:339.
   Google Scholar
• Sullivan C, Staib A, Khanna S, et al. The National Emergency Access Target (NEAT) and the 4‐hour rule: time to review the target. Med J Aust. 2016;204(9):354–359. doi:10.5694/mja15.01177
   PubMed Web of Science ®Google Scholar
• Wang H, Kline JA, Jackson BE, et al. The role of patient perception of crowding in the determination of real-time patient satisfaction at Emergency Department. Int J Qual Health Care. 2017;29(5):722–727. doi:10.1093/intqhc/mzx097
   PubMed Web of Science ®Google Scholar
• Trotzky D, Tsur AM, Fordham DE, et al. Medical expertise as a critical influencing factor on the length of stay in the ED: a retrospective cohort study. Medicine. 2021;100(19):10. doi:10.1097/MD.0000000000025911
   Web of Science ®Google Scholar
• Suárez M, Asenjo MB, Sánchez M. Job satisfaction among emergency department staff. Australas Emerg Nurs J. 2017;20(1):31–36. doi:10.1016/j.aenj.2016.09.003
   PubMedGoogle Scholar
• Rondeau KV, Francescutti LH, Zanardelli JJ. Emergency department overcrowding: the impact of resource scarcity on physician job satisfaction/practitioner application. J Healthc Manag. 2005;50(5):327.
   PubMed Web of Science ®Google Scholar
• McKenna P, Heslin SM, Viccellio P, Mallon WK, Hernandez C, Morley EJ. Emergency department and hospital crowding: causes, consequences, and cures. Clin Exp Emerg Med. 2019;6(3):189. doi:10.15441/ceem.18.022
   PubMed Web of Science ®Google Scholar
• Wessman T, Ärnlöv J, Carlsson AC, et al. The association between length of stay in the emergency department and short-term mortality. Intern Emerg Med. 2022;17(1):233–240. doi:10.1007/s11739-021-02783-z
   PubMed Web of Science ®Google Scholar
• Sarıyer G, Ataman MG, Kızıloğlu İ. Analyzing main and interaction effects of length of stay determinants in emergency departments. Int J Health Polic Manag. 2020;9(5):198–209.
   PubMed Web of Science ®Google Scholar
• Kuo YH, Chan NB, Leung JM, et al. An integrated approach of machine learning and systems thinking for waiting time prediction in an emergency department. Int J Med Inform. 2020;139:104143. doi:10.1016/j.ijmedinf.2020.104143
   PubMed Web of Science ®Google Scholar
• Savioli G, Ceresa IF, Gri N, et al. Emergency department overcrowding: understanding the factors to find corresponding solutions. J Pers Med. 2022;12(2):279. doi:10.3390/jpm12020279
   PubMed Web of Science ®Google Scholar
• Elkum N, Fahim M, Shoukri M, et al. Which patients wait longer to be seen and when? A waiting time study in the emergency department. East Mediterr Health J. 2009;15(2):416–424. doi:10.26719/2009.15.2.416
   PubMedGoogle Scholar
• Sariyer G, Taşar CÖ, Cepe GE. Use of data mining techniques to classify length of stay of emergency department patients. Bio-Alg Med Sys. 2019;15(1):154.
   Google Scholar
• Yoon P, Steiner I, Reinhardt G. Analysis of factors influencing length of stay in the emergency department. Canad J Emerg Med. 2003;5(3):155–161. doi:10.1017/S1481803500006539
   Google Scholar
• Sarıyer G, Öcal Taşar C. Highlighting the rules between diagnosis types and laboratory diagnostic tests for patients of an emergency department: use of association rule mining. Health Informatics J. 2020;26(2):1177–1193. doi:10.1177/1460458219871135
   PubMed Web of Science ®Google Scholar
• Sariyer G, Ataman MG. How machine learning facilitates decision making in emergency departments: modelling diagnostic test orders. Int J Clin Pract. 2021;75(12):e14980. doi:10.1111/ijcp.14980
   PubMed Web of Science ®Google Scholar
• DaGar S, Sahin S, Yilmaz Y, et al. Emergency department during long public holidays. Tur J Emerg Med. 2014;14(4):165–171. doi:10.5505/1304.7361.2014.20438
   PubMedGoogle Scholar
• Butun A, Kafdag EE, Gunduz H, et al. Emergency department overcrowding: causes and solutions. Emerg Crit Care Med. 2023. doi:10.1097/EC9.0000000000000078
   Google Scholar
• CDC. National hospital ambulatory medical care survey. emergency department visits, by selected characteristics: United States. 2017.
   Google Scholar
• NHS. Hospital accident and emergency activity 2018–19 London; 2019. Available from: https://files.digital.nhs.uk/F5/ACF07A/AE1819_Annual_Summary.pdf. Accessed April 27, 2023.
   Google Scholar
• Öztürk S, Başar D. Equity in utilization of health care services in Turkey: an index based analysis. East Mediter Health J. 2020;26(5):547–555. doi:10.26719/emhj.19.090
   PubMed Web of Science ®Google Scholar
• Akbayram HT, Coskun E. Paediatric emergency department visits for non-urgent conditions: can family medicine prevent this? Europ J Gen Pract. 2020;26(1):134–139. doi:10.1080/13814788.2020.1825676
   PubMed Web of Science ®Google Scholar
• Işık GÇ, Tandoğan M, Şafak T, Çevik Y. Retrospective analyses of the frequent emergency department users. Euras J Emerg Med. 2020;19(2):89–93. doi:10.4274/eajem.galenos.2019.07108
   Web of Science ®Google Scholar
• Sariyer G, Ataman MG, Mangla SK, Kazancoglu Y, Dora M. Big data analytics and the effects of government restrictions and prohibitions in the COVID-19 pandemic on emergency department sustainable operations. Ann Oper Res. 2022;15:1–31.
   Google Scholar
• Baykan O, Meral O, Öztürk T, Gönüllü H. Characteristics of non-urgent visits in emergency department. Ann Med Res. 2021;28(5):906–911. doi:10.5455/annalsmedres.2020.06.592
   Google Scholar
• Gurazada SG, Gao S, Burstein F, Buntine P. Predicting patient length of stay in austra lian emergency departments using data mining. Sensors. 2022;22(13):4968. doi:10.3390/s22134968
   PubMed Web of Science ®Google Scholar
• Oakes SL, Gillespie SM, Ye Y, et al. Transitional care of the long-term care patient. Clin Ger Med. 2011;27(2):259–271. doi:10.1016/j.cger.2011.02.004
   PubMed Web of Science ®Google Scholar
• Al-Wathinani A, Hertelendy AJ, Alhurishi S, et al. Increased emergency calls during the COVID-19 pandemic in Saudi Arabia: a national retrospective study. Healthcare. 2020;9(1):14. doi:10.3390/healthcare9010014
   Web of Science ®Google Scholar
• Uppal A, Silvestri DM, Siegler M, et al. Critical care and emergency department response at the epicenter of the COVID-19 pandemic: New York City’s public health system response to COVID-19 included increasing the number of intensive care units, transferring patients between hospitals, and supplementing critical care staff. Health Aff. 2020;39(8):1443–1449.
   Google Scholar