Knowledge of chronic kidney disease among undergraduate and postgraduate students in a public university in Klang Valley, Malaysia: A cross sectional study.

The prevalence of chronic kidney disease (CKD) risk factors such as diabetes mellitus, hypertension, and obesity among the young Malaysians are increasing. Understanding the factors associated with CKD knowledge could assists healthcare providers to design health education programmes. There are scarce local studies on CKD knowledge and its associated factors among university students. This subpopulation comprises of young people with diverse background and characteristics. This study was aimed to assess the CKD knowledge and its associated factors among university students. A cross-sectional study was conducted among Universiti Kebangsaan Malaysia students from July 2020 to August 2020. A convenience sampling method was applied. All students were invited to complete an online survey using Google Forms that were sent to their email. The survey consisted of questions related to their sociodemographic, socioeconomics, university programme enrolled, medical history, lifestyle characteristics and CKD knowledge. The data were analysed using SPSS Statistics 26.0. Multiple logistic regression analysis was performed to identify the final associated factors after controlling for confounders. A total of 3074 students participated and 32.6% of them had below average CKD knowledge. Students of male gender, enrolment in undergraduate programmes and non-health-related faculties/institutes were more likely to have below average CKD knowledge. Students who are Chinese, from high monthly household income family and with family history of CKD were less likely to have below average CKD knowledge. Almost one-third of the students had below average CKD knowledge. The six associated factors with CKD knowledge were non-modifiable. Of the six factors, three were associated with students being more likely to have below average CKD knowledge; another three were associated with students being less likely to have below average CKD knowledge. Future health education programmes to enhance CKD knowledge should be designed focusing on students who are more likely to have below average CKD knowledge.

The Planned Requirements for a Distributed, Systematic Citizen- Centred Design, Intelligent Health Management System Post COVID-19 Pandemic for a Developing Country

The article study discussed the challenges of having an efficient database to address COVID-19 in the Malaysian context as a developing country. Likewise, the challenges include the management of the database system, which can share patient confidential information. It also implies good governance and strategy to enable an intelligent citizen-centred design that focuses on the usability and plan to benefit during post-COVID-19 with an efficient health information system in IR 4.0 era. The approach of this study is from content analysis of current literature, particularly during post-pandemic COVID-19. The listed factors are Shareable;Accessible Distributed Database;Data Protection;Backup Data Software Application Design and Development;Security and False News;and Systematic Integrated Monitoring System.Therefore, this article proposed criteria for a better health management system during the post-COVID-19 pandemic.

Clinical Characteristics of Patients with Coronavirus Disease 2019 (COVID-19) in a Teaching Hospital in Malaysia.

INTRODUCTION: Information on the clinical characteristics of local patients with confirmed COVID-19 is limited. This study aims to report the clinical characteristics of 147 patients admitted and receiving treatment at a teaching hospital. METHODOLOGY: Patients' socio-demographic and epidemiological data, clinical features, laboratory findings and clinical outcomes were extracted using a data sheet. RESULTS: The median patient age was 25 [interquartile range (IQR)] 20-44) years, and most of patients were male (68.7%) and of Malaysian nationality (88.4%). Almost half of the patients were from a case cluster related to a religious event (48.3%) and 12.9% had a history of overseas travel. A total of 33.3% of patients were not related to any case cluster, i.e. sporadic cases. Radiological investigation showed that 13.6% of the patients had chest X-ray changes and all laboratory parameters were within the normal ranges. Sixty-six patients (44.9%) experienced symptoms. The most common symptoms were rhinitis (66.7%), followed by fever (19.7%) and cough (15.2%). Age, gender, case cluster, comorbidity status, haemoglobin, albumin, total protein, bilirubin total and alkaline phosphatase level were associated with symptomatic status. CONCLUSIONS: In this single-centre study, COVID-19 infection led not only to case clusters, but also to sporadic infections, with patients being either symptomatic or asymptomatic. These sporadic cases and asymptomatic patients may hamper effective contact tracing, leading to rapid human-to-human transmission in our population. Future studies on the prevalence and clinical significance of asymptomatic and presymptomatic COVID-19 patients would pre-emptively address issues on further containment of the pandemic.

The Covid Impact to Public Healthcare Utilization Among Urban Low-Income Subsidized Community in Klang Valley Malaysia.

BACKGROUND: Appropriate level of healthcare utilization is one of the aims in translating health system inputs into improving the outcome of population health. Healthcare utilization services in Malaysia remains relatively low as compared to the rate in most high-income countries and some gaps exist across socioeconomic status. After the financial handouts deemed Household Living Aid (HLA) to low-income earners, Malaysia has recently implemented a financial health protection scheme toward for low-income group known as PeKa B40 to improve their access for healthcare services. This study aims to determine the healthcare utilization among the low-income population living in urban Klang Valley, and to explore the relationship between healthcare utilization with the demographic characteristics of this population. MATERIAL AND METHODS: A cross-sectional study using face to face structured questionnaire. All 447 respondents included were low-income earners enrolled in the HLA. Chi-square analysis and multiple logistic regression were used to examine association between the risk factors and healthcare utilization. RESULTS: The response rate was 93.5%. The healthcare utilization among the respondents during the partial lockdown period was 19.5% and 33.1% during the recovery lockdown period. Enrollment in the PeKa B40 scheme among the 7.6% respondents was not associated with healthcare utilization. After controlling for the variables, those aged 60 years and above [AOR: 1.87; 95% (CI): (1.07; 3.27)], self-rated poor health status [AOR: 2.16; 95% (CI): (1.07; 4.34)], having NCDs [AOR: 4.21; 95% (CI): (2.23; 7.94)], and being hospitalized in the past 12 months [AOR: 3.54; 95% (CI): (1.46; 8.62)], were more likely to utilize healthcare services as compared to their counterparts. CONCLUSION: The results from this study is valuable for policy recommendations to improve on the coverage of the PeKa B40 scheme and healthcare access for the low-income population especially during the pandemic.