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Fulltext Impact of a binary triage system and structural reorganization of emergency department on health care workers exposed to suspected COVID-19 patients-a single-centre analysis

Abd Wahab M, Safaai S, Mohd Saiboon I

Int J Emerg Med, 2021 Sep 23;14(1):59.
PMID: 34556031 DOI: 10.1186/s12245-021-00384-3

BACKGROUND: A binary triage system based on infectivity and facilitated by departmental restructuring was developed to manage suspected COVID-19 patients with an aim to provide effective prevention and control of infection among health care workers (HCWs) in the emergency department. This study analyses the effectiveness of the new triage system and structural reorganization in response to the COVID-19 pandemic.
METHODS: A cross-sectional observational study was conducted in the Emergency and Trauma Department, Hospital Kuala Lumpur (ETDHKL). The implementation of a binary triage system separates patients with risk of COVID-19 who present with fever and respiratory symptoms from other patients. Data on exposed HCWs to COVID-19 patients were captured pre-restructuring and post-restructuring of the emergency department and analysed using descriptive statistics.
RESULTS: A total of 846 HCWs were involved in this study. Pre-restructuring reported 542 HCWs exposed to COVID-19 patients while post-restructuring reported 122. Using the four categorical exposure risks for HCWs which are no identifiable risk, low risk, medium risk, and high risk, the number of HCWs exposed during pre-restructuring were 15(1.8%), 504 (59.6%), 15 (1.8%), and 8 (0.9%), respectively, while post-restructuring the numbers were 122 (14.4%), 8 (0.9%), 109 (12.9%), and 5 (0.1%), respectively. There was a 77.5% reduction in the number of exposed HCWs after our implementation of the new system (542 vs 122).
CONCLUSION: A binary triage system based on severity and infectivity and supported with structural reorganization can be effective in reducing HCWs COVID-19 exposure.
The role of an emergency department short-stay ward in the management of dengue fever: a case-control study in a university hospital

Nasarudin NM, Mohd Saiboon I, Ismail AK

Eur J Emerg Med, 2013 Oct;20(5):335-8.
PMID: 22976462 DOI: 10.1097/MEJ.0b013e328358fa40

Dengue fever is endemic in Malaysia and poses a significant problem to the national health system. Because of its nonspecific clinical features, it creates clinical and administrative uncertainties. We evaluated the role of an emergency department short-stay ward (EDSSW) in the management of dengue fever in the Universiti Kebangsaan Malaysia Medical Centre (UKMMC).
Fulltext The Effectiveness of Self-Instructional Video vs. Classroom Teaching Method on Focused Assessment With Sonography in Trauma Among House Officers in University Hospital

Isa MH, Lim K, Jaafar MJ, Mohd Saiboon I

Front Surg, 2021;8:698774.
PMID: 34485373 DOI: 10.3389/fsurg.2021.698774

Background: The aim of this study was to compare the effectiveness of self-instructional-video (SIV) and classroom training method (CTM) in learning Focus-Assessment with Sonography-in-Trauma (FAST) among house officers (HO). Method: A randomized controlled study involving house officers working in the university hospital in Malaysia was conducted where participants were randomized into SIV group (intervention) and CTM group (control). Each group had to undergo a 4 h hands-on training. The intervention group has undergone self-training using the video material without any facilitation while the control group received lecture and hands-on training with facilitators. Participants' performance was assessed using a validated Objective Structured Clinical Examination checklist for landmark identification and interpretation of images generated. Learning preference and confidence level were also assessed. Result: A total of 33 HO were enrolled in this study. Marks obtained in image acquisition by the intervention and control were 25.3 (SD = 5.3) and 25.6 (SD = 2.3) p > 0.05, respectively. While in image interpretation, the mean score for the intervention and control group was 10.3 (SD 1.7) and 9.8 (SD = 1.7) p > 0.05, respectively. Overall performance assessment, showed the intervention group obtained 35.6 (SD = 5.9) compared to control 35.3 (SD = 3.4), p > 0.05. Based on pre-specified determinant these scores difference falls within the 10% of non-inferiority margin. The absolute difference between both groups was 0.3 (CI = -3.75 to 3.21, p = 0.871), which proves non-inferiority but not superiority. In terms of learning preference and confidence to perform FAST, most of the participants preferred the control group approach. Conclusion: The SIV method is as effective as the CTM for learning FAST among the house officers and served as an alternative to classroom teaching. However, this technique needs improvement in promoting their confidence and preference. Perhaps incorporating a feedback session after going through the SIV would improve the confidence.
Fulltext Incidence and demographical characteristics of patients with post-traumatic stress disorder due to motor vehicle accidents

Bahari R, Mohamad Alwi MN, Ahmad MR, Mohd Saiboon I

Malays Fam Physician, 2017;12(3):2-7.
PMID: 29527273 MyJurnal

Introduction: Motor vehicle accidents (MVAs) are daily occurrences in Malaysia but the extent to which victims are psychologically affected is not well known. The objective of this study is to determine the incidence and demographic characteristics of patients with post-traumatic stress disorder (PTSD) due to MVAs at a university hospital in Malaysia.
Methods: Patients presenting to the emergency department from August to October 2014 due to MVA-related injuries were recruited. After a period of at least one month, they were followed-up and screened using the validated Malay Post Traumatic Stress Disorder Checklist Civilian version. A score of 30 was chosen as the cut-off point for PTSD.
Results: In total, 112 patients presented to the emergency department following MVAs during the study period. Of these, 60.7% agreed for the follow-up. Among the respondents, the mean age was 26 years, 91.2% were males, 66.2% were married, 85.3% were Malays and 88.3% were Muslims. The calculated incidence of PTSD was 7.4%. There was no significant difference noted between the PTSD and non-PTSD groups.
Conclusion: A considerable number of MVA victims in Malaysia may develop PTSD after the accident. Further research is needed to explore the factors that contribute or protect to develop the condition.
Fulltext Comparison of adaptive neuro-fuzzy inference system and artificial neutral networks model to categorize patients in the emergency department

Azeez D, Ali MA, Gan KB, Saiboon I

Springerplus, 2013;2:416.
PMID: 24052927 DOI: 10.1186/2193-1801-2-416

Unexpected disease outbreaks and disasters are becoming primary issues facing our world. The first points of contact either at the disaster scenes or emergency department exposed the frontline workers and medical physicians to the risk of infections. Therefore, there is a persuasive demand for the integration and exploitation of heterogeneous biomedical information to improve clinical practice, medical research and point of care. In this paper, a primary triage model was designed using two different methods: an adaptive neuro-fuzzy inference system (ANFIS) and artificial neural network (ANN).When the patient is presented at the triage counter, the system will capture their vital signs and chief complains beside physiology stat and general appearance of the patient. This data will be managed and analyzed in the data server and the patient's emergency status will be reported immediately. The proposed method will help to reduce the queue time at the triage counter and the emergency physician's burden especially duringdisease outbreak and serious disaster. The models have been built with 2223 data set extracted from the Emergency Department of the Universiti Kebangsaan Malaysia Medical Centre to predict the primary triage category. Multilayer feed forward with one hidden layer having 12 neurons has been used for the ANN architecture. Fuzzy subtractive clustering has been used to find the fuzzy rules for the ANFIS model. The results showed that the RMSE, %RME and the accuracy which evaluated by measuring specificity and sensitivity for binary classificationof the training data were 0.14, 5.7 and 99 respectively for the ANN model and 0.85, 32.00 and 96.00 respectively for the ANFIS model. As for unseen data the root mean square error, percentage the root mean square error and the accuracy for ANN is 0.18, 7.16 and 96.7 respectively, 1.30, 49.84 and 94 respectively for ANFIS model. The ANN model was performed better for both training and unseen data than ANFIS model in term of generalization. It was therefore chosen as the technique to develop the primary triage prediction model. This primary triage model will be combined with the secondary triage prediction model to produce the final triage category as a tool to assist the medical officer in the emergency department.
Drone technology in maternal healthcare in Malaysia: A narrative review

Zailani MAH, Raja Sabudin RZA, Abdul Rahman R, Mohd Saiboon I, Ismail A, Mahdy ZA

Malays J Pathol, 2021 Aug;43(2):251-259.
PMID: 34448789

INTRODUCTION: The vast advancement of technology and breakthrough in high-tech disciplines created multiple areas of research activities, including the emergence of the medical drone. Malaysia, a rapidly developing country in Southeast Asia is on track to achieving high-income status. However, the stagnant growth of Malaysian maternal healthcare does not run parallel with the aspiration. This review paper assessed and reported narratively the current condition of maternal healthcare in Malaysia, the possible application of drones in improving the sector, exploring in detail several challenges, and providing recommendations for experts in studying the rising technological phenomena.
MATERIALS AND METHODS: A literature search was done from June 2019 to November 2019 with restrictions to the English language. The search was performed in ScienceDirect, PubMed, and EMBASE databases, using a combination of search terms related to drones, Unmanned Aerial Vehicles (UAV), Unmanned Aerial Systems (UAS), maternal, obstetric, healthcare, medical products transportation and Malaysia. A discourse analysis followed and a narrative review was provided on this subject.
RESULTS AND DISCUSSION: The validated ability of drones in the delivery of blood products is highlighted as a possible application in improving maternal healthcare in Malaysia, particularly in the state of Sabah. Five key challenges are identified: infrastructure, technicalities, regulations, expertise, and social acceptance. Future predictions of drone technology in healthcare were outlined with the suggestion of three principle arms of application.
CONCLUSION: The usage of the medical drone in medical products transportation supports the objectives of WHO MDG 5 for Malaysian maternal health. A study on the impact of drones in reducing the maternal mortality ratio is recommended for further exploration.
Emergency skills learning on video (ESLOV): A single-blinded randomized control trial of teaching common emergency skills using self-instruction video (SIV) versus traditional face-to-face (FTF) methods

Mohd Saiboon I, Jaafar MJ, Ahmad NS, Nasarudin NM, Mohamad N, Ahmad MR, et al.

Med Teach, 2014 Mar;36(3):245-50.
PMID: 24295218 DOI: 10.3109/0142159X.2013.857013

Self-instruction video (SIV) has been widely explored as a teaching mode for cardiopulmonary resuscitation (CPR) and automated external defibrillation (AED), but not with other basic emergency skills.