People’s Understanding on Severity Triage Level of Emergency Illness before Reaching the Hospital: A Pilot Study
Keywords:
triage category, triage criteria of the National Institute of Emergency Medicine, emergency medical service system, emergency medical dispatch system, peopleAbstract
Objectives: To evaluate people’s understanding on prehospital triage for the level of severity of emergency illness in terms of interrater agreement compared with the Thai criteria-based dispatch, and to assess the factors associated with people’s understanding. Study design: A cross-sectional survey of Chiang Mai people’s perception on responses and management by call takers and dispatchers at the call center of the emergency medical service. Methods: The survey asked people’s perceived priorities by randomly selecting 4 out of 24 pre-set emergency scenarios of the Thai criteria-based dispatch triage cases. The questionnaire also asked respondent’s characteristics, such as, education, previous experience on emergency medical care, and related perceptional factors. Apart from descriptive statistics, Cohen’s kappa coefficient to compare the agreement and logistic regression to explore associated factors with agreement were analyzed. Results: A total of 102 participants responded to the survey, 62.7% were female, median age was 25 years old (IQR = 21-37). Most of them were bachelor’s degree holders, a 38.2% agreement between people’s perceived priority and the Thai criteria-based dispatch was found (k = 0.175, p < 0.005), with 42.9% under triage and 18.9% over triage. The percentage of agreement was higher for non-urgency (49.5%), and semi urgency (40.8%), but lower for urgency (33.0%) and emergency scenarios (29.0%). No factors associated with the agreement of people’s perceived priority and the prehospital triage were found. Conclusions: People’s perceived priority did not match with the actual triage category, and no people’s characteristics associated with prehospital triage agreement were established.
References
National Institute for Emergency Medicine. Emergency medical statistics report [Internet]. 2018 [cited 2020 Apr 18]. Available from: https://ws.niems.go.th/ITEMS_DWH/. (in Thai)
Klaisubun C, editor. Guideline for ER service delivery. Nonthaburi: Samchai 2017;2017. (in Thai)
Adeniji AA, Mash B. Patients’ perceptions of the triage system in a primary healthcare facility, Cape Town, South Africa. Afr J Prim Health Care Fam Med [Internet]. 2016 [Cited 2019 September 25];8(1). Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4926712/.
Toloo G-S, Aitken P, Crilly J, FitzGerald G. Agreement between triage category and patient’s perception of priority in emergency departments. Scand J Trauma Resusc Emerg Med [Internet]. 2016 [Cited 2019 September 20];24:126. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5070359/.
Sirisamutr T, Ponsen K, Wachiradilok P. Knowledge, perspective, and reasons of not-calling emergency medicine services in Thailand. Journal of Health Systems Research. 2018;12(4):668-80. (in Thai)
National Institute for Emergency Medicine. Emergency medical triage protocol and criteria based dispatch. 2nd ed. Bangkok: National Institute for Emergency Medicine; 2013. (in Thai)
Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics. 1977;33(1):159–74.
Rassin M, Nasie A, Bechor Y, Weiss G, Silner D. The characteristics of self-referrals to ER for non-urgent conditions and comparison of urgency evaluation between patients and nurses. Accid Emerg Nurs. 2006;14:20–26. doi: 10.1016/j.aaen.2005.10.003.
Gifford MJ, Franaszek JB, Gibson G. Emergency physicians’ and patients’ assessments: urgency of need for medical care. Ann Emerg Med. 1980;9:502–7. doi: 10.1016/S0196-0644(80)80187-9.
Hansudewechakul N, Chenthanakij B, Wittayachamnankul B. Why don’t Chiang Mai people in need call emergency medical service? Journal of Health Science 2012;6(2):268-77. (in Thai)
Downloads
Published
How to Cite
Issue
Section
License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Journal of Health Systems Research is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) license, unless otherwise stated.
