Development of an Emergency Clinical Handover Tool for Doctors Using the Fuzzy Delphi Method

Main Article Content

Ismail Mohd Saiboon
Ahmad Khalil Ibrahim
Abdul Karim Mustafa
Mohd Johar Jaafar
Mohd Hisham Isa

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.

Article Details

How to Cite
1.
Mohd Saiboon I, Ibrahim AK, Mustafa AK, Jaafar MJ, Isa MH. Development of an Emergency Clinical Handover Tool for Doctors Using the Fuzzy Delphi Method. Malays J Med Sci [Internet]. 2026 Apr. 30 [cited 2026 May 9];33(2). Available from: https://ejournal.usm.my/mjms/article/view/mjms_vol33-no2-2026_12
Section
Original Articles

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