Investigating the effect of the Asayar smart program on ambulance arrival time at the scene
pdf

Keywords

Asayar smart program
pre-hospital emergency
inclination score matching
ambulance arrival time

How to Cite

1.
Ranjbar M, Gaeeni M, Parvaresh M, Hamta A. Investigating the effect of the Asayar smart program on ambulance arrival time at the scene. Australasian Journal of Paramedicine [Internet]. 2021Jun.10 [cited 2022Jan.25];18. Available from: https://ajp.paramedics.org/index.php/ajp/article/view/887

Abstract

Background

Communication is important in pre-hospital emergencies and the faster and more accurately it is done, the more effective the treatment process will be. With the advancement of technology, a mobile phone system equipped with the Asayar smart program replaces paper methods. By creating an online connection between doctors, technicians and treatment centres, Asayar will increase the speed of the treatment and transfer of the patient to hospital. One of the most important challenges of this program is the interruption of internet connections and the reduction of internet speed. This study was designed to investigate the effect of the Asayar smart program on ambulance arrival time at the scene and compare it with paper methods.

Methods

A descriptive-analytical cross-sectional study in the city of Isfahan in Iran, with a sample number of 700 missions performed by the paper registration method in 2017, and 230 missions registered by Asayar program method in 2018. The Propensity score matching method was used to analyse the data.

Results

The findings of the study showed that the use of the Asayar smart program in the pre-hospital emergency department of Isfahan has reduced times for ambulance arrival to the scene.

Conclusion

Using the Asayar smart program in a pre-hospital emergency can increase patient coordination and management.

https://doi.org/10.33151/ajp.18.887
pdf

References

Bahadori M, Ghardashi F, Izadi AR, et al. Pre-hospital emergency in Iran: a systematic review. Trauma Monthly 2016;21:e31382. doi: 10.5812/trauma on.31382

Almasi S, Abedi H. Study of the relationship between people’s expectations from and their satisfaction with emergency prehospital services in Sanandaj City, Iran. Biol Med (Aligarh) 2016;8:2-8. doi:10.4172/0974-8369.1000327

Abdellah OA, Aborokbah MM, Elfaki AO. Improving pre-hospital care of road traffic accident's victims with smartphone technology. International Journal of Interactive Mobile Technologies 2018;12:130-41.

Yadollahi S. The quality of documentation in pre-hospital emergency mission forms: a cross-sectional study. Iranian Journal of Emergency Medicine 2018;5:20.

Ellensen EN, Wisborg T, Hunskaar S, Zakariassen E. Dispatch guideline adherence and response interval: a study of emergency medical calls in Norway. BMC Emerg Med 2016;16:40.

Moghaddasi H, rabiei R, Mastaneh Z. Pre-hospital emergency information system in America and England: a review. Journal of Payesh 2014;13:383-91.

Hjälte L, Suserud B-O, Herlitz J, Karlberg I. Why are people without medical needs transported by ambulance? A study of indications for pre-hospital care. Eur J Emerg Med 2007;14:151-6.

Townsend K, Loudoun R, Wilkinson A. Improving people management in emergency services. 2018. Available at: https://research-repository.griffith.edu.au/handle/10072/388795?show=full

Safarabadi M, Pakniyat A, Dervishi A, Harorani M. The performance of emergency medicine services for patients with suspected acute coronary syndrome, Arak, Iran. Clin Res 2016;2:153-7.

Lin Y, Cheng A, Grant VJ, Currie GR, Hecker KG. Improving CPR quality with distributed practice and real-time feedback in pediatric healthcare providers: a randomized controlled trial. Resuscitation 2018;130:6-12.

Martinez R, Rogers A, Numanoglu A, Rode H. The value of WhatsApp communication in pediatric burn care. Burns 2018;44:947-55.

Shakeri K, Jafari M, Khankeh H, Seyedin H. History and structure of the fourth leading emergency medical service in the world: a review article. Arch Acad Emerg Med 2019;7(1).

Shakeri K, Jafari M, Khankeh H, Seyedin H. History and structure of the fourth leading emergency medical service in the world: a review article. ibid. 2019;7:e17-e.

Fitzpatrick D, Maxwell D, Craigie A. The feasibility, acceptability, and preliminary testing of a novel, low-tech intervention to improve pre-hospital data recording for pre-alert and handover to the emergency department. BMC Emerg Med 2018;18:16.

Martinez R, Rogers A, Numanoglu A, Rode H. The value of WhatsApp communication in pediatric burn care. Burns 2018;44:947-55.

Barnes L, American Academy of Orthopaedic S. Emergency care and transportation of the sick and injured. Sudbury, Mass; 2011.

Porter A, Badshah A, Black S, et al. Electronic health records in ambulances: the ERA multiple-methods study. Health Services and Delivery Research 2020.

Pervez F, Qadir J, Khalil M, et al. Wireless technologies for emergency response: a comprehensive review and some guidelines. IEEE Access 2018;6:71814-38.

Johansson A, Esbjörnsson M, Nordqvist P, et al. Technical feasibility and ambulance nurses’ view of a digital telemedicine system in pre-hospital stroke care–a pilot study. Int Emerg Nurs 2019;44:35-40.

Jahanshir A, Karimialavijeh E, Sheikh H, Vahedi M, Momeni M. Smartphones and medical applications in the emergency department daily practice. Emergency 2017;5(1).

Dadashzadeh A, Dehghannejhad J, Shams Vahdati S, Soheili A, Sadeghi Bazarghani H. The nature of prehospital medical interventions delivered to traumatic patients in Tabriz. Journal of Urmia Nursing and Midwifery Faculty 2017;15:159-67.

Austin PC, Jembere N, Chiu M. Propensity score matching and complex surveys. Stat Methods Med Res 2018;27:1240-57.

Amoah J, Stuart EA, Cosgrove SE, et al. Comparing propensity score methods versus traditional regression analysis for the evaluation of observational data: a case study evaluating the treatment of gram-negative bloodstream infections. Clin Infect Dis 2020;71:e497-505.

Nehme Z, Andrew E, Smith K. Factors influencing the timeliness of emergency medical service response to time critical emergencies. Prehosp Emerg Care 2016;20:783-91.

Rastegarfar B, Fooladband F. Time indicators of pre-hospital emergency services in stroke patients of Fars/Iran. Journal of Health Based Research 2019;5:165-74.

Ramadanov N, Klein R, Ramadanova N, Behringer W. Influence of time of mission on correct diagnosis by the prehospital emergency physician: a retrospective study. Emerg Med Int 2019. doi: 10.1155/2019/3727081

Zeraatchi A, Rostami B, Rostami A. Time indices of emergency medical services; a cross-sectional study. Iranian Journal of Emergency Medicine 2018;5:8.

Pearce D, Hocking G, Sahathevan R, Oqueli E, Bagot K, editors. Reducing variation in care and improving patient flow by streamlining communication: interim results from the Pulsara smartphone communication app. 2018.

Afzali F. The impact of emergency medical services (EMS) automation system on users workflow and patient care process. School of Health Information and Management, Kerman University of Medical, 2018.

Delshad V, Shemshadi H, Moradian MJ, et al. The effect of applying a global positioning system in ambulances on the response time of Tehran emergency medical service. Health in Emergencies and Disasters 2016;1:125-8.

Hosseini M, Berlin RR, Jiang Y, Sha L, editors. Adaptive clinical data communication for remote monitoring in rural ambulance transport. 2017 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE); 2017: IEEE.

Pervez F, Qadir J, Khalil M, Yaqoob T, Ashraf U, Younis S. Wireless technologies for emergency response: a comprehensive review and some guidelines. ibid. 2018.