METHODS: Data on notifiable diseases from 2014 to 2022 were sourced from the Klang District Health Office. The 11 diseases with more than 100 notifications each were included in the study. For these 11 diseases, a negative binomial regression model was used to explore the effect of the pandemic on case notifications and registrations by year, and a quasi-Poisson regression model was used to explore the changes by week.
RESULTS: The results showed a reduction in the number of notifications and registrations for all 11 diseases combined during the pandemic compared with previous years. Changes between expected and observed notifications by week were heterogeneous across the diseases.
DISCUSSION: These findings suggest that restrictive public health and social measures in Klang district may have impacted the transmission of other infectious diseases during the COVID-19 pandemic. The differential impact of the pandemic on disease notifications and reporting highlights the large ancillary effects of restrictive public health and social measures and the importance of building resilience into infectious disease surveillance systems.
METHODS: This study applied the 28-item IMPROVE-FL questionnaire in a national survey of 29 medical schools with quota sampling to gather evidence of construct validity (via confirmatory factor analysis and hypothesis testing) and assess its internal consistency (via construct reliability analysis). Subsequently, a smaller study was conducted in two medical schools, one public and one private, to establish evidence of test-retest reliability.
RESULTS: These analyses reported that the finalised 23-item IMPROVE FL had excellent model fit and evidence of construct validity (β = .64-.87; x2/df = 3.86; RMSEA = .05; SRMR = .03; CFI = .95; TLI = .94; GFI = .93; AGFI = .91), confirmed the expected correlation with fixed mindset (r = -.116, p
METHODS: This study is based entirely on the available secondary data sources on dengue in Malaysia. The age-specific incidence of dengue between 2001 and 2013 was estimated using the prevalence and mortality estimates in an incidence-prevalence-mortality (IPM) model. Data on dengue prevalence were extracted from six sero-surveys conducted in Malaysia between 2001 and 2013; while statistics on dengue notification and Case Fatality Rate were derived from National Dengue Surveillance System. Dengue hospitalization data for the years 2009 to 2013 were extracted from the Health Informatics Centre and the volumes of dengue hospitalization for hospitals with missing data were estimated with Poisson models.
RESULTS: The dengue incidence in Malaysia varied from 69.9 to 93.4 per 1000 population (pkp) between 2001 and 2013.The temporal trend in incidence rate was decreasing since 2001. It has been reducing at an average rate of 2.57 pkp per year from 2001 to 2013 (p = 0.011). The age-specific incidence of dengue decreased steadily with dengue incidence reaching zero by age > 70 years. Dengue notification rate has remained stable since 2001 and the number of notified cases each year was only a small fraction of the incident cases (0.7 to 2.3%). Similarly, the dengue hospitalization was larger but still a small fraction of the incident cases (3.0 to 5.6%).
CONCLUSION: Dengue incidence can be estimated with the use of sero-prevalence surveys and mortality data. This study highlights a reducing trend of dengue incidence in Malaysia and demonstrates the discrepancy between true dengue disease burden and cases reported by national surveillance system. Sero-prevalence studies with representative samples should be conducted regularly to allow better estimation of dengue burden in Malaysia.
AIM: To assess the level of job satisfaction and perception of Provisionally Registered Pharmacists (PRP) towards the internship training provided.
METHODS: A cross-sectional nationwide survey was conducted amongst all PRPs undergoing training between December 2015 and February 2016 to assess their level of job satisfaction and perception towards the training requirements stipulated by the Pharmacy Board of Malaysia.
RESULTS: A total of 733 PRPs participated in the survey and the response rate was 95.8%. On the basis of the response received, 92.5% (n = 678) felt that the one year training period was 'just nice', 30.5% (n = 223) felt that the logbooks were 'too complicated', and 33.2% (n = 241) said the targets set by the Pharmacy Board of Malaysia were 'too high'. On a scale of 1 to 5, respondents rated 3.32 (SD 0.54) for mean score of job satisfaction. Significant factors influencing mean score of job satisfaction were: perceived fairness at the work place; perceived self-competence after one year of training; preceptors' competence; and pharmacy as a chosen career pathway.
CONCLUSION: Intern pharmacists were fairly satisfied with the internship training in government facilities in the Ministry of Health, Malaysia. A review of the internship logbooks and the practicality of targets set by the Pharmacy Board warrant further improvement.
METHODS: We undertook analysis on 11,821 subjects from six seroprevalence surveys conducted in Malaysia between 2001 and 2013, which composed of five urban and two rural series.
RESULTS: Prevalence of dengue increased with age in both urban and rural locations in Malaysia, which exceeded 90 % among those aged 70 years or beyond. The age-specific rates of the 5 urban surveys overlapped without clear separation among them, while prevalence was lower in younger subjects in rural series than in urban series, the trend reversed in older subjects. There were no differences in the seroprevalence by gender, ethnicity or region. Poisson regression model confirmed the prevalence have not changed in urban areas since 2001 but in rural areas, there was a significant positive time trend such that by year 2008, rural prevalence was as high as in urban areas.
CONCLUSION: Dengue seroprevalence has stabilized but persisted at a high level in urban areas since 2001, and is fast stabilizing in rural areas at the same high urban levels by 2008. The cumulative seroprevalence of dengue exceeds 90 % by the age of 70 years, which translates into 16.5 million people or 55 % of the total population in Malaysia, being infected by dengue by 2013.