Development of an Emergency Clinical Handover Tool for Doctors Using the Fuzzy Delphi Method
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Abstract
Background: Clinical handover in emergency departments (EDs) is a critical, high-risk process, and miscommunication can lead to serious patient harm. Although the Introduction, Situation, Background, Assessment, Recommendation (ISBAR) framework is widely adopted to guide handovers, Malaysia currently lacks a validated and standardised tool specifically designed for ED settings. This gap underscores the need for a structured approach to ensure safer, more consistent patient transitions.
Methods: To develop a new emergency clinical handover (ECH) tool, the Fuzzy Delphi Method (FDM) was employed with input from a panel of emergency physicians (EPs). A deductive approach was used to extract potential handover items, which were then rated on a 7-point Likert scale. These ratings were converted into triangular fuzzy numbers. Items were retained if they met three criteria: i) threshold value (d) ≤ 0.2; ii) expert agreement ≥ 75%; and iii) fuzzy score (A) ≥ 0.5. Perceptions of the proposed ECH tool were evaluated using a 10-item, 3-point Likert scale by the ED doctors after a one-month trial in a real-world ED situation.
Results: The expert panel agreed on 19 items for inclusion in the ECH tool. These items were distributed across the ISBAR domains: five in Identification/Information, two in Situation, two in Background, seven in Assessment/Action, and three in Recommendation. The perception score indicated an acceptance rate of 70.17% among participants.
Conclusion: The FDM effectively facilitated consensus in developing a structured ECH tool. This standardised approach may enhance communication, reduce variability, and improve patient safety during ED handovers.
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Pothiawala S, Lau HK, Annathurai A. Regular versus extended shift outbreak roster in the emergency department and its impact on staff well-being. Emerg Med J. 2020;37(8):468. https://doi.org/10.1136/emermed-2020-210247
Ye K, Taylor DM, Knott JC, Dent A, MacBean CE. Handover in the emergency department: deficiencies and adverse effects. Emerg Med Australas. 2007;19(5):433–441. https://doi.org/10.1111/j.1742-6723.2007.00984.x
Morrison JB, Rudolph JW. Learning from accident and error: avoiding the hazards of workload, stress, and routine interruptions in the emergency department. Acad Emerg Med. 2011;18(12):1229–1254. https://doi.org/10.1111/j.1553-2712.2011.01231.x
Dunsford J. Structured communication: improving patient safety with SBAR. Nurs Women’s Health. 2009;13(5):384–390. https://doi.org/10.1111/j.1751-486X.2009.01456.x
Marshall S, Harrison J, Flanagan B. The teaching of a structured tool improves the clarity and content of interprofessional clinical communication. BMJ Qual Saf. 2009;18(2):137–140. https://doi.org/10.1136/qshc.2007.025247
Tortosa-Alted R, Martínez-Segura E, Berenguer-Poblet M, Reveré-Villarroya S. Handover of critical patients in urgent care and emergency settings: a systematic review of validated assessment tools. J Clin Med. 2021;10(24):5736. https://doi.org/10.3390/jcm10245736
Murray TJ, Pipino LL, van Gigch JP. A pilot study of fuzzy set modification of Delphi. Hum Syst Manage. 1985;5(1):76–80. https://doi.org/10.3233/HSM-1985-5111
Desai S, Patel N. ABC of face validity for questionnaire. Int J Pharm Sci Rev Res. 2020;65(1):164–166. https://doi.org/10.47583/ijpsrr.2020.v65i01.025
Adler M, Ziglio E. Gazing into the oracle: the Delphi method and its application to social policy and public health. London: Jessica Kingsley Publishers; 1996.
Mohd Jamil MR, Mat Noh NR. Kepelbagaian metodologi dalam penyelidikan reka bentuk dan pembangunan. 1st ed. Selangor (Malaysia): Qaisar Prestige Resources; 2020.
Cheng CH, Lin Y. Evaluating the best main battle tank using fuzzy decision theory with linguistic criteria evaluation. Eur J Oper Res. 2002;142(1):174–186. https://doi.org/10.1016/S0377-2217(01)00280-6
Chu H-C, Hwang G-J. A Delphi-based approach to developing expert systems with the cooperation of multiple experts. Expert Syst Appl. 2008;34(4):2826–2840. https://doi.org/10.1016/j.eswa.2007.05.034
Bodjanova S. Median alpha-levels of a fuzzy number. Fuzzy Sets Syst. 2006;157(7):879–891. https://doi.org/10.1016/j.fss.2005.10.015
Venkatesh AK, Chou S-C, Li S-X, Choi J, Ross JS, D’Onofrio G, et al. Association between insurance status and access to hospital care in emergency department disposition. JAMA Intern Med. 2019;179(5):686–693. https://doi.org/10.1001/jamainternmed.2019.0037
Ahayalimudin N, Mohd Noh H, Mohd Shah ANS, Norazman NZZ. Clinical handover practice in the emergency and trauma department of SASMEC@IIUM: an observational qualitative study. Int J Care Sch. 2023;6(2):37–50. https://doi.org/10.31436/ijcs.v6i2.324
Brekke IJ, Puntervoll LH, Pedersen PB, Kellett J, Brabrand M. The value of vital sign trends in predicting and monitoring clinical deterioration: a systematic review. PLoS ONE. 2019;14(1):e0210875. https://doi.org/10.1371/journal.pone.0210875
Pitcher D, Fritz Z, Wang M, Spiller JA. Emergency care and resuscitation plans. BMJ. 2017;356:j876. https://doi.org/10.1136/bmj.j876