Benjamin SH Leong

Dr. Benjamin SH Leong

orcid

Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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7 January 2020 in BMC Emergency Medicine
Verified
Journal Article
Open access
PDF file
FNFor the PAROS Clinical Research Network
For the PAROS Clinical Research Network
SLShawn Chieh Loong Lee
Shawn Chieh Loong Lee
DMDesmond Renhao Mao
Desmond Renhao Mao
YNYih Yng Ng
Yih Yng Ng
BLBenjamin SH Leong
Benjamin SH Leong
Marcus Eng Hock OngMarcus Eng Hock Ong
Marcus Eng Hock Ong
Background: Dispatch services (DS’s) form an integral part of emergency medical service (EMS) systems. The role of a dispatcher has also evolved into a crucial link in patient care delivery, particularly in dispatcher assisted cardio-pulmonary resuscitation (DACPR) during out-of-hospital cardiac arrest (OHCA). Yet, there has been a paucity of research into the emerging area of dispatch science in Asia. This paper compares the characteristics of DS’s, and state of implementation of DACPR within the Pan-Asian Resuscitation Outcomes (PAROS) network. Methods: A cross-sectional descriptive survey addressing population characteristics, DS structures and levels of service, state of DACPR implementation (including protocols and quality improvement programs) among PAROS DS’s. Results: 9 DS’s responded, representing a total of 23 dispatch centres from 9 countries that serve over 80 million people. Most PAROS DS’s operate a tiered dispatch response, have implemented medical oversight, and tend to be staffed by dispatchers with a predominantly medical background. Almost all PAROS DS’s have begun tracking key EMS indicators. 77.8% (n = 7) of PAROS DS’s have introduced DACPR. Of the DS’s that have rolled out DACPR, 71.4% (n = 5) provided instructions in over one language. All DS’s that implemented DACPR and provided feedback to dispatchers offered feedback on missed OHCA recognition. The majority of DS’s (83.3%; n = 5) that offered DACPR and provided feedback to dispatchers also implemented corrective feedback, while 66.7% (n = 4) offered positive feedback. Compression-only CPR was the standard instruction for PAROS DS’s. OHCA recognition sensitivity varied widely in PAROS DS’s, ranging from 32.6% (95% CI: 29.9–35.5%) to 79.2% (95% CI: 72.9–84.4%). Median time to first compression ranged from 120 s to 220 s. Conclusions: We found notable variations in characteristics and state of DACPR implementation between PAROS DS’s. These findings will lay the groundwork for future DS and DACPR studies in the PAROS network.

1 January 2020 in Resuscitation
Verified
Journal Article
Closed access
PTPamela Jia Min Tay
Pamela Jia Min Tay
PPPin Pin Pek
Pin Pin Pek
QFQiao Fan
Qiao Fan
YNYih Yng Ng
Yih Yng Ng
BLBenjamin SH Leong
Benjamin SH Leong
Marcus Eng Hock OngMarcus Eng Hock Ong
Marcus Eng Hock Ong

1 November 2018 in Resuscitation
Verified
Journal Article
Closed access
GNG.D. Nadarajan
G.D. Nadarajan
LTL. Tiah
L. Tiah
Andrew Fu Wah HoAndrew Fu Wah Ho
Andrew Fu Wah Ho
AAA. Azazh
A. Azazh
MCM.K. Castren
M.K. Castren
Marcus Eng Hock OngMarcus Eng Hock Ong
Marcus Eng Hock Ong

SLShir Lynn Lim
Shir Lynn Lim
NSNur Shahidah
Nur Shahidah
Seyed Ehsan SaffariSeyed Ehsan Saffari
Seyed Ehsan Saffari
Qin Xiang NgQin Xiang Ng
Qin Xiang Ng
Andrew Fu Wah HoAndrew Fu Wah Ho
Andrew Fu Wah Ho
Marcus Eng Hock OngMarcus Eng Hock Ong
Marcus Eng Hock Ong
This study aimed to evaluate the impact of the Coronavirus Disease 2019 (COVID-19) pandemic on out-of-hospital cardiac arrest (OHCA) in Singapore. We used data from the Singapore Civil Defence Force to compare the incidence, characteristics and outcomes of all Emergency Medical Services (EMS)-attended adult OHCA during the pandemic (January–May 2020) and pre-pandemic (January–May 2018 and 2019) periods. Pre-hospital return of spontaneous circulation (ROSC) was the primary outcome. Binary logistic regression was used to calculate the adjusted odds ratios (aOR) for the characteristics of OHCA. Of the 3893 OHCA patients (median age 72 years, 63.7% males), 1400 occurred during the pandemic period and 2493 during the pre-pandemic period. Compared with the pre-pandemic period, OHCAs during the pandemic period more likely occurred at home (aOR: 1.48; 95% CI: 1.24–1.75) and were witnessed (aOR: 1.71; 95% CI: 1.49–1.97). They received less bystander CPR (aOR: 0.70; 95% CI: 0.61–0.81) despite 65% of witnessed arrests by a family member, and waited longer for EMS (OR ≥ 10 min: 1.71, 95% CI 1.46–2.00). Pre-hospital ROSC was less likely during the pandemic period (aOR: 0.67; 95% CI: 0.53–0.84). The pandemic saw increased OHCA incidence and worse outcomes in Singapore, likely indirect effects of COVID-19.


9 July 2020 in Prehospital Emergency Care
Verified
Journal Article
Closed access
WNWei Ming Ng
Wei Ming Ng
CSCarl Ross De Souza
Carl Ross De Souza
PPPin Pin Pek
Pin Pin Pek
NSNur Shahidah
Nur Shahidah
YNYih Yng Ng
Yih Yng Ng
Marcus Eng Hock OngMarcus Eng Hock Ong
Marcus Eng Hock Ong
Objective The Singapore myResponder is a novel smartphone application developed by the Singapore Civil Defence Force (SCDF) that notifies volunteer first responders of a suspected out-of-hospital cardiac arrest (OHCA) case and locations of Automated External Defibrillators (AED) in the vicinity so that they can assist with resuscitation. We aimed to examine the performance of this application, challenges encountered, and future directions. Methods We analyzed data from the myResponder app since its launch from April 2015 to July 2019. The number of installations, registered community first responders, suspected OHCA cases, notifications sent by the app, percentage of responders who accepted activation and arrived at scene were reviewed. A subgroup of taxi driving responders (within a 1.5-kilometer response radius) carrying an AED under a subsequent pilot program was also analyzed. Results By July 2019, 46,689 responders were registered in the myResponder app. There were a total of 19,189 cases created for suspected OHCA, with a median of 358 cases per month (IQR 330-430), in which 10,073 responders accepted activation from myResponder and 4,955 arrived on-scene. A total of 135,599 notifications were sent for these cases, with a median of 7.1 notifications per case (IQR 4.3-8.7). In 2019, the percentages of responders who accepted notification and arrived on scene were 45.8% and 24.1%, respectively. 43% (1110/2581) of responders arrived before EMS crew. Conclusion The myResponder mobile application is a feasible smart technology solution to improve community response to OHCA, and to increase bystander CPR and AED use. Future directions include increasing the number of active responders, improving response rates, app performance, and better data capture for quality improvement.