Page 71 - Malaysian Journal of Health Promotion, Vol 4 (Supplementary 1) 2022
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Malaysian Journal of Health Promotion, Vol 4 (Supplementary 1) 2022
rd
14 MOH-AMM Scientific Meeting 2022 in conjunction with 23 NIH Scientific Conference Abstract Book
th
DISCUSSION/CONCLUSION: The AUDIT is a useful tool to evaluate alcohol drinking patterns
in the community. Primary care centres should screen current alcohol drinkers for alcohol
related problems.
ID 52 DEPRESSION AND ITS STRESSOR AMONG HEALTHCARE WORKERS DURING THE COVID-
19 ERA: A RESULT FROM AN ONLINE SURVEY
Muhammad Solihin Bin Rezali, Norhafizah Sahril, Mohamad Aznuddin Abd Razak, Nik Adilah Shahein, Fatin
Athirah Tahir, Muhammad Azri Adam Adnan, Muhamad Khairul Nazrin Khalil, Nor’ain Ab Wahab, Norliza
Shamsuddin, Liew Siaw Hun, Mohd Shaiful Azlan Kassim
Centre of Family Health Research, Institute for Public Health, National Institutes of Health, Malaysia
INTRODUCTION: Pandemic COVID-19 impacted people’s mental health, especially healthcare workers
(HCWs), while being forefront in the fight against COVID-19. Stressors would trigger as well as
augment the symptoms of depression. This survey aims to study the prevalence of depression and its
association with sociodemographic and stressor variables.
METHODOLOGY: This study was part of the Mental Health Status of Malaysian Healthcare Workers
during the COVID-19 Pandemic, a cross-sectional online survey conducted from July to September
2021. The Patient Health Questionnaire was used to assess probable depression, with scores of 10 or
higher indicating positive symptoms. In addition, workload, safety, lack of skill, fear of infection,
discrimination from society, work-family interference, and lack of appreciation were all evaluated as
stressors. A descriptive and multiple logistic regression was conducted in this study using IBM SPSS
version 25.
RESULTS: A total of 1446 HCWs participated in the study. The overall prevalence of depression among
respondents was 25.9%. Multiple logistic regression analysis revealed that those with tertiary
education levels (aOR=1.98, 95% CI:1.02, 3.89, p=0.04), male HCWs (aOR=1.61, 95% CI:1.12, 2.32,
p=0.01), and those who are married (aOR=1.44, 95% CI:1.01, 2.05, p=0.04) were significant factors
associated with depression. In addition, fear of infection (aOR=1.64, 95% CI:1.21, 2.20, p=0.01), lack
of family bonding (aOR=1.61, 95% CI:1.30, 1.98, p=0.01), lack of appreciation (aOR=1.39, 95% CI:1.16,
1.67, p=0.01), and workload (aOR=1.37, 95% CI:1.07, 1.74, p=0.01) were substantial stressors related
to depression.
CONCLUSION: Based on these findings, 1 in 4 HCWs had depression in this survey. Therefore, a
proficient strategy targeting individual and organization approaches tailored to the susceptible HCWS
is essential as they are the fundamental part of the global response to COVID-19.
ID 53 EVALUATION OF TWO AI SOFTWARE FOR PTB DIAGNOSIS
1
1
1
1
Muhammad Faiz Mohd Hisham , Eida Nurhadzira Muhammad , Filza Noor Asari , Noor Aliza Lodz , Mohd Ihsani
3
2
Mahmood , Zamzurina Abu Bakar
1 Institute for Public Health
2 Sector of TB & Leprosy, Disease Control Division, Putrajaya
3 Respiratory Medicine Institute, Kuala Lumpur
INTRODUCTION: Tuberculosis (TB) profile in Malaysia presented with a growing average
annual rate of 2.23%, where it is estimated that 92 cases per 100,000 people were reported
in 2018. Chest X-ray (CXR) examination remains the best conventional method for the early
detection of pulmonary TB infection. The intervention of artificial intelligence (AI) in TB
diagnosis could efficiently aid human interpreters and reduce health professionals' work
burden. To date, no evaluation of AI studies has been carried out in Malaysia.
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