Table of Contents Author Guidelines Submit a Manuscript
Emergency Medicine International
Volume 2014, Article ID 215329, 8 pages
http://dx.doi.org/10.1155/2014/215329
Research Article

Exploring Factors Affecting Emergency Medical Services Staffs’ Decision about Transporting Medical Patients to Medical Facilities

1Department of Health Services Management, School of Health Management and Information Sciences, Iran University of Medical Sciences, No. 6, Rashid Yasemi Street, Vali-e-asr Avenue, Tehran 1995614111, Iran
2School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran
3Department of Emergency Medicine, School of Medicine, Iran University of Medical Sciences, Tehran, Iran

Received 13 March 2014; Accepted 9 April 2014; Published 7 May 2014

Academic Editor: Wen-Jone Chen

Copyright © 2014 Abbasali Ebrahimian et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. “Providing Leadership for the Provision of Ambulance Services,” The Council of Ambulance Authorities Inc., May 2008.
  2. K. Challen and D. Walter, “Physiological scoring: an aid to emergency medical services transport decisions?” Prehospital and Disaster Medicine, vol. 25, no. 4, pp. 320–323, 2010. View at Google Scholar · View at Scopus
  3. A. A. Ebrahimian, H. R. Shabanikiya, and N. Khalesi, “The role of physiological scores for decision making in internal pre-hospital emergency situations,” HealthMed, vol. 6, no. 11, pp. 3612–3615, 2012. View at Google Scholar
  4. A. A. Ebrahimian, N. Khalesi, G. Mohamadi, M. Tordeh, and M. Naghipour, “Transportation management in pre-hospital emergency whit physiological early warning scores,” Journal of Health Administration, vol. 15, no. 49, 2012 (Persian). View at Google Scholar
  5. C. Mann and H. Guly, “Is the emergency (999) service being misused? Retrospective analysis,” British Medical Journal, vol. 316, no. 7129, pp. 437–438, 1998. View at Google Scholar · View at Scopus
  6. M. Kamper, B. D. Mahoney, S. Nelson, and J. Peterson, “Feasibility of paramedic treatment and referral of minor illnesses and injuries,” Prehospital Emergency Care, vol. 5, no. 4, pp. 371–378, 2001. View at Google Scholar · View at Scopus
  7. B. J. Knapp, B. L. Kerns, I. Riley, and J. Powers, “EMS-initiated refusal of transport: the current state of affairs,” The Journal of Emergency Medicine, vol. 36, no. 2, pp. 157–161, 2009. View at Publisher · View at Google Scholar · View at Scopus
  8. L. H. Brown, M. W. Hubble, D. C. Cone et al., “Paramedic determinations of medical necessity: a meta-analysis,” Prehospital Emergency Care, vol. 13, no. 4, pp. 516–527, 2009. View at Publisher · View at Google Scholar · View at Scopus
  9. J. Nicholl, “Case-mix adjustment in non-randomised observational evaluations: the constant risk fallacy,” Journal of Epidemiology & Community Health, vol. 61, no. 11, pp. 1010–1013, 2007. View at Publisher · View at Google Scholar · View at Scopus
  10. J. Y. S. Ting and A. M. Z. Chang, “Focus on EMS transport: path analysis modeling indicates free transport increases ambulance use for minor indications,” Prehospital Emergency Care, vol. 10, no. 4, pp. 476–481, 2006. View at Publisher · View at Google Scholar · View at Scopus
  11. S. A. Mulholland, B. J. Gabbe, and P. Cameron, “Is paramedic judgement useful in prehospital trauma triage?” Injury, vol. 36, no. 11, pp. 1298–1305, 2005. View at Publisher · View at Google Scholar · View at Scopus
  12. J. N. Fullerton, C. L. Price, N. E. Silvey, S. J. Brace, and G. D. Perkins, “Is the Modified Early Warning Score (MEWS) superior to clinician judgement in detecting critical illness in the pre-hospital environment?” Resuscitation, vol. 83, no. 5, pp. 557–562, 2012. View at Publisher · View at Google Scholar · View at Scopus
  13. K. H. Krippendorff, Content Analysis: An Introductory to Its Methodology, Sage, Thousand Oaks, Calif, USA, 2nd edition, 2004.
  14. U. H. Graneheim and B. Lundman, “Qualitative content analysis in nursing research: concepts, procedures and measures to achieve trustworthiness,” Nurse Education Today, vol. 24, no. 2, pp. 105–112, 2004. View at Publisher · View at Google Scholar · View at Scopus
  15. P. H. Mayring, “Qualitative content analysis,” Forum: Qualitative Social Research, vol. 1, no. 2, pp. 1–10, 2000. View at Google Scholar
  16. R. W. Duckitt, R. Buxton-Thomas, J. Walker et al., “Worthing physiological scoring system: derivation and validation of a physiological early-warning system for medical admissions. An observational, population-based single-centre study,” British Journal of Anaesthesia, vol. 98, no. 6, pp. 769–774, 2007. View at Publisher · View at Google Scholar · View at Scopus
  17. J. E. Rees and C. Mann, “Use of the patient at risk scores in the emergency department: a preliminary study,” Emergency Medicine Journal, vol. 21, no. 6, pp. 698–699, 2004. View at Publisher · View at Google Scholar · View at Scopus
  18. P. J. Frost and M. P. Wise, “Early management of acutely ill ward patients,” British Medical Journal, vol. 345, Article ID e5677, pp. 1–8, 2012. View at Publisher · View at Google Scholar
  19. N. Jerliu, E. Toçi, G. Burazeri, N. Ramadani, and H. Brand, “Socioeconomic conditions of elderly people in Kosovo: a crosssectional study,” BMC Public Health, vol. 12, article 512, 2012. View at Publisher · View at Google Scholar
  20. G. N. Pereira, G. A. N. Bastos, G. F. Del Duca, and Â. J. G. Bós, “Socioeconomic and demographic indicators associated with functional disability in the elderly,” Cadernos de Saúde Pública, vol. 28, no. 11, pp. 2035–2042, 2012. View at Publisher · View at Google Scholar
  21. J. J. Siracuse, D. D. Odell, S. P. Gondek et al., “Health care and socioeconomic impact of falls in the elderly,” The American Journal of Surgery, vol. 203, no. 3, pp. 335–338, 2012. View at Publisher · View at Google Scholar · View at Scopus
  22. J. Sutton and K. Tierney, Disaster Preparedness: Concept, Guidance and Research, Natural Hazards Center, Institute of Behavioral Science, University of Colorado Boulder, 2006.
  23. K. Peleg and J. S. Pliskin, “A geographic information system simulation model of EMS: reducing ambulance response time,” The American Journal of Emergency Medicine, vol. 22, no. 3, pp. 164–170, 2004. View at Publisher · View at Google Scholar · View at Scopus
  24. J. P. Pell, J. M. Sirel, A. K. Marsden, I. Ford, and S. M. Cobbe, “Effect of reducing ambulance response times on deaths from out of hospital cardiac arrest: cohort study,” British Medical Journal, vol. 322, no. 7299, pp. 1385–1388, 2001. View at Google Scholar · View at Scopus
  25. M. J. Moradian et al., “Response time to emergency cases in Shiraz,” Journal of Rescue and Relief, vol. 5, no. 2, pp. 30–39, 2013 (Persian). View at Google Scholar
  26. R. Skinner, “Improving ambulance estimated time of arrival (ETA) at hospital emergency department,” Health GIS Guy, vol. 6, pp. 78–79, 2008. View at Google Scholar
  27. D. McCaughan, C. Thompson, N. Cullum, T. Sheldon, and P. Raynor, “Nurse practitioner and practice nurses' use of research information in clinical decision making: findings from an exploratory study,” Family Practice, vol. 22, no. 5, pp. 490–497, 2005. View at Publisher · View at Google Scholar · View at Scopus
  28. A. Assar-roudi, “The causes of late arrival of pre-hospital emergency from the point of view of clinical emergency personnel of the 115 of Mashhad in 2006,” Dena Journal, vol. 3, no. 3, pp. 1–15, 2009 (Persian). View at Google Scholar
  29. H. H. I. McCutcheon and J. Pincombe, “Intuition: an important tool in the practice of nursing,” Journal of Advanced Nursing, vol. 35, no. 3, pp. 342–348, 2001. View at Publisher · View at Google Scholar · View at Scopus
  30. M. E. Burman, M. B. Stepans, N. Jansa, and S. Steiner, “How do NPs make clinical decisions?” Nurse Practitioner, vol. 27, no. 5, pp. 57–64, 2002. View at Google Scholar · View at Scopus
  31. C. P. West, M. M. Huschka, P. J. Novotny et al., “Association of perceived medical errors with resident distress and empathy: a prospective longitudinal study,” The Journal of the American Medical Association, vol. 296, no. 9, pp. 1071–1078, 2006. View at Publisher · View at Google Scholar · View at Scopus
  32. A. Ozyurt, O. Hayran, and H. Sur, “Predictors of burnout and job satisfaction among Turkish physicians,” QJM, vol. 99, no. 3, pp. 161–169, 2006. View at Publisher · View at Google Scholar · View at Scopus
  33. S. E. Taylor, Health Psychology, McGraw-Hill, 4th edition, 1999.
  34. R. Rosenfeld, S. F. Messner, and E. P. Baumer, “Social capital and homicide,” Social Forces, vol. 80, no. 1, pp. 283–310, 2001. View at Google Scholar · View at Scopus