THE EFFECT OF THE BANDUNG EMERGENCY APPLICATION SUPPORT (BEAS) ON RESPONSE TO EMERGENCY VICTIMS BY THE PUBLIC SAFETY CENTER (PSC) 119
DOI:
https://doi.org/10.61677/jth.v4i1.890Keywords:
BEAS, Public Safety Center, response time, triage, emergency.Abstract
Delayed response to emergency victims remains a critical problem in pre-hospital care because it may affect patient safety. Bandung Emergency Application Support (BEAS) was developed to accelerate reporting, clarify incident locations, and support coordination within Public Safety Center (PSC) 119 in Bandung City. This study aimed to analyze the effect of BEAS on response time, triage accuracy, and initial patient outcomes. A quasi-experimental pretest-posttest design was applied to 714 PSC 119 operational records, consisting of 357 cases before and 357 cases after BEAS implementation. Response time was analyzed using an independent t-test, whereas triage accuracy and initial patient outcomes were analyzed using Pearson chi-square tests at a significance level of p<0.05. The mean response time decreased from 12.5 to 9.1 minutes (p<0.001). Triage accuracy increased from 72.0% to 88.0% (p<0.001), while the proportion of patients arriving alive at the hospital increased from 84.9% to 89.9% (p=0.042). These findings indicate that BEAS contributes to faster coordination, improved triage accuracy, and better early outcome indicators in emergency care. Strengthening an integrated digital system through operator training, standard operating procedures, and periodic evaluation is required to sustain the benefits of BEAS and support replication in other PSC 119 services.
References
Aandarini, D., Susaldi, S., & Suryadi, B. (2024). Response Time with Successful Handling on Call Patient Stroke. Jurnal Keperawatan, 15(2), 130–137. https://doi.org/10.22219/jk.v15i02.33977
Alam, N., & Herman, H. (2018). Aplikasi Sistem Respon Cepat Masyarakat Berbasis Mobile dalam Penanganan Kondisi Darurat (Application of Community Fast Response System Based on Mobile in Handling Emergency Conditions). Masyarakat Telematika dan Informasi: Jurnal Penelitian Teknologi Informasi dan Komunikasi, 9(2), 143–150. https://doi.org/10.17933/mti.v9i2.126
Al-Shaqsi, S. Z. K. (2010). Response Time as A Sole Performance Indicator in EMS: Pitfalls and Solutions. Open Access Emergency Medicine, 2, 1–6. https://doi.org/10.2147/OAEM.S8510
Blanchard, I. E., Doig, C. J., Hagel, B. E., Anton, A. R., Zygun, D. A., Kortbeek, J. B., Powell, D. G., Williamson, T. S., Fick, G. H., & Innes, G. D. (2012). Emergency Medical Services Response Time and Mortality in An Urban Setting. Prehospital Emergency Care, 16(1), 142–151. https://doi.org/10.3109/10903127.2011.614046
Brooks, S. C., Simmons, G., Worthington, H., Bobrow, B. J., & Morrison, L. J. (2016). The PulsePoint Respond Mobile Device Application to Crowdsource Basic Life Support for Patients with Out-of-Hospital Cardiac Arrest: Challenges for optimal Implementation. Resuscitation, 98, 20–26. https://doi.org/10.1016/j.resuscitation.2015.09.392
Emberson, J., Lees, K. R., Lyden, P., Blackwell, L., Albers, G., Bluhmki, E., Brott, T., Cohen, G., Davis, S., Donnan, G., Grotta, J., Howard, G., Kaste, M., Koga, M., von Kummer, R., Lansberg, M., Lindley, R. I., Murray, G., Olivot, J. M., Parsons, M., Tilley, B., Toni, D., Toyoda, K., Wahlgren, N., Wardlaw, J., Whiteley, W., del Zoppo, G. J., Baigent, C., Sandercock, P., & Hacke, W. (2014). Effect of Treatment Delay, Age, and Stroke Severity on The Effects of Intravenous Thrombolysis with Alteplase for Acute Ischaemic Stroke: A Meta-Analysis of Individual Patient Data. The Lancet, 384(9958), 1929–1935. https://doi.org/10.1016/S0140-6736(14)60584-5
Farrohknia, N., Castren, M., Ehrenberg, A., Lind, L., Oredsson, S., Jonsson, H., Asplund, K., & Goransson, K. E. (2011). Emergency Department Triage Scales and Their Components: A Systematic Review of Scientific Evidence. Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine, 19, 42. https://doi.org/10.1186/1757-7241-19-42
Gabella, J. L., Gualda, I. A. P., Altoé, I. L., Beltrame, M. H. A., Silva, P. H. A., Costa, D. B., et al. (2024). Designing, Development and Validation of An App to Reduce the Response Time of the Emergency Medical Services. PLOS ONE, 19(3), e0299828. https://doi.org/10.1371/journal.pone.0299828
Harmsen, A. M. K., Giannakopoulos, G. F., Moerbeek, P. R., Jansma, E. P., Bonjer, H. J., & Bloemers, F. W. (2015). The Influence of Prehospital Time on Trauma Patients Outcome: A Systematic Review. Injury, 46(4), 602–609. https://doi.org/10.1016/j.injury.2015.01.008
Hsia, R. Y., Huang, D., Mann, N. C., Colwell, C., Mercer, M. P., Dai, M., & Niedzwiecki, M. J. (2018). A US National Study of the Association Between Income and Ambulance Response Time in Cardiac Arrest. JAMA Network Open, 1(7), e185202. https://doi.org/10.1001/jamanetworkopen.2018.5202
Kuriyama, A., Urushidani, S., & Nakayama, T. (2017). Five-Level Emergency Triage Systems: Variation in Assessment of Validity. Emergency Medicine Journal, 34(11), 703–710. https://doi.org/10.1136/emermed-2016-206295
Levin, S., Toerper, M., Hamrock, E., Hinson, J. S., Barnes, S., Gardner, H., Dugas, A., Linton, B., Kirsch, T., & Kelen, G. (2018). Machine-Learning-Based Electronic Triage More Accurately Differentiates Patients with Respect to Clinical Outcomes Compared with the Emergency Severity Index. Annals of Emergency Medicine, 71(5), 565–574. https://doi.org/10.1016/j.annemergmed.2017.08.005
Morrison, L. J., Neumar, R. W., Zimmerman, J. L., Link, M. S., Newby, L. K., McMullan, P. W., Hoek, T. V., Halverson, C. C., Doering, L., Peberdy, M. A., Edelson, D. P., & American Heart Association Emergency Cardiovascular Care Committee. (2013). Strategies for Improving Survival After in-Hospital Cardiac Arrest in the United States: 2013 Consensus Recommendations. Circulation, 127(14), 1538–1563. https://doi.org/10.1161/CIR.0b013e31828b2770
Newgard, C. D., Schmicker, R. H., Hedges, J. R., Trickett, J. P., Davis, D. P., Bulger, E. M., Aufderheide, T. P., Minei, J. P., Hata, J. S., Gubler, K. D., Brown, T. B., Yelle, J. D., Bardarson, B., & Nichol, G. (2010). Emergency Medical Services Intervals and Survival in Trauma: Assessment of the Golden hour in a North American prospective cohort. Annals of Emergency Medicine, 55(3), 235–246. https://doi.org/10.1016/j.annemergmed.2009.07.024
Novitaria, W., Wigati, P. A., & Sriatmi, A. (2017). Analisis Kesiapan Pelaksanaan Sosialisasi Program Ambulance Hebat dalam Rangka Dukungan terhadap Sistem Penanggulangan Gawat Darurat Terpadu di Kota Semarang. Jurnal Kesehatan Masyarakat, 5(4), 164–171. https://doi.org/10.14710/jkm.v5i4.18334
Nurmalia, P., & Budiono, I. (2020). Program Public Safety Center (PSC) 119 Mataram Emergency Medical Service (MEMS). HIGEIA Journal of Public Health Research and Development, 4(1), 140–151. https://doi.org/10.15294/higeia.v4i2.33673
Pratama, S. Y., & Zaky, U. (2024). Analisis Pengembangan Aplikasi Darurat Berbasis Mobile Web dengan Pendekatan Next.js Technology. MALCOM: Indonesian Journal of Machine Learning and Computer Science, 5(1), 207–215. https://doi.org/10.57152/malcom.v5i1.1697
Raita, Y., Goto, T., Faridi, M. K., Brown, D. F. M., Camargo, C. A., & Hasegawa, K. (2019). Emergency Department Triage Prediction of Clinical Outcomes Using Machine Learning Models. Critical Care, 23(1), 64. https://doi.org/10.1186/s13054-019-2351-7
Ringh, M., Rosenqvist, M., Hollenberg, J., Jonsson, M., Fredman, D., Nordberg, P., Jarnbert-Pettersson, H., Hasselqvist-Ax, I., Riva, G., Svensson, L., & Claesson, A. (2015). Mobile-Phone Dispatch of Laypersons for CPR in Out-of-Hospital Cardiac Arrest. New England Journal of Medicine, 372(24), 2316–2325. https://doi.org/10.1056/NEJMoa1406038
Rizkita, P. O., & Meirinawati. (2020). Strategi Peningkatan Pelayanan Kegawatdaruratan melalui Aplikasi Emergency Button Public Safety Center (PSC) 119 di RSUD Dr. Iskak Kabupaten Tulungagung. Publika, 8(4), 1–12. https://doi.org/10.26740/publika.v8n4.p1-12
Rojak, T. S. P., Basabih, M., Winarto, & Suranta, R. M. (2024). Analysis of Public Safety Center 119 Ambulance Services Using Lean Six Sigma. Jurnal Administrasi Kesehatan Indonesia, 12(2), 258–269. https://doi.org/10.20473/jaki.v12i2.2024.258-269
Saputra, D., Haryani, Martias, Surniandari, A., & Widianto, K. (2021). Rancang Bangun Aplikasi PESAMLINE (Pemesanan Ambulance Online) Berbasis Android. JUSIM (Jurnal Sistem Informasi Musirawas), 6(2), 110–122. https://doi.org/10.32767/jusim.v6i2.1188
Schroder, H., Beckers, S. K., Borgs, C., Sommer, A., Rossaint, R., Gruber, L., et al. (2024). Long-Term Effects of A Prehospital Telemedicine System on Structural and Process Quality Indicators of An Emergency Medical Service. Scientific Reports, 14(1), 310. https://doi.org/10.1038/s41598-023-50924-5
Scquizzato, T., Pallanch, O., Belletti, A., Frontera, A., Cabrini, L., & Zangrillo, A. (2020). Enhancing Citizens Response to Out-of-Hospital Cardiac Arrest: A Systematic Review of Mobile-Phone Systems to Alert Citizens As First Responders. Resuscitation, 152, 16–25. https://doi.org/10.1016/j.resuscitation.2020.05.006
Suryanto, Plummer, V., & Boyle, M. (2017). EMS Systems in Lower-Middle Income Countries: A Literature Review. Prehospital and Disaster Medicine, 32(1), 64–70. https://doi.org/10.1017/S1049023X1600114X
Valeriano, A., Van Heer, S., de Champlain, F., & Brooks, S. C. (2021). Crowdsourcing to Save Lives: A Scoping Review of Bystander Alert Technologies for Out-of-Hospital Cardiac Arrest. Resuscitation, 158, 94–121. https://doi.org/10.1016/j.resuscitation.2020.10.035
Yudhanto, Y., Suryoputro, A., & Budiyanti, R. T. (2021). Analisis Pelaksanaan Program SPGDT di Indonesia. Media Kesehatan Masyarakat Indonesia, 20(1), 31–40. https://doi.org/10.14710/mkmi.20.1.31-40
Zachariasse, J. M., van der Hagen, V., Seiger, N., Mackway-Jones, K., van Veen, M., & Moll, H. A. (2019). Performance of Triage Systems in Emergency Care: A Systematic Review and Meta-Analysis. BMJ Open, 9(5), e026471. https://doi.org/10.1136/bmjopen-2018-026471
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 JTH: Journal of Technology and Health
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
