METHODS: The socioeconomic trends in smoking were analyzed using data from cross-sectional National Health and Morbidity Surveys for the years 1996, 2006, and 2011. Household per capita income was used as a measure of socioeconomic position. As a measure of inequality, the concentration index that quantified the degree of socioeconomic inequality in a health outcome was computed. Smoking was assessed in current and former smokers. The study population was examined by gender, region, and age group.
RESULTS: This study found a trend of an increasingly higher smoking prevalence among the poor and higher cessation rates among the rich. With the exception of younger women in Peninsular Malaysia, the socioeconomic gradient in current smoking is concentrated among the poor. For former smokers, especially men, distributions across the years were mostly concentrated among the rich.
CONCLUSION: It is important to ensure that health policies, programs, and interventions consider the potential impact of the socioeconomic patterning in smoking on equity in health.
IMPLICATIONS: Findings on the socioeconomic gradient in smoking and cessation from Malaysia across a period of rapid economic development will contribute to addressing the paucity of knowledge on the socioeconomic gradient of smoking and cessation in other progressing LMICs. This study provides evidence from an upper-middle-income country, of an increasing trend of smoking among the poor and an increasing trend of cessation rates among the rich, particularly for men. We found opposing trends for younger adult women in the more developed, Peninsular Malaysia. More rich young women were found to have taken up smoking compared to socioeconomically less advantaged young women.
METHODS: This study has an ecological design. As a measure of socioeconomic status, we used principal component analysis to construct a socioeconomic index using census data. Districts were ranked according to the standardised median index of households and assigned to each individual in the 5-year mortality data. The mortality indicators of interest were potential years of life lost (PYLL), standardised mortality ratio (SMR), infant mortality rate (IMR) and under-5 mortality rate (U5MR). Both socioeconomic status and mortality outcomes were used compute the concentration index which provided the summary measure of the magnitude of inequality.
RESULTS: Socially disadvantaged districts were found to have worse mortality outcomes compared to more advantaged districts. The values of the concentration index for the overall population of the Peninsula are C = -0.1334 (95% CI: -0.1605 to -0.1063) for the PYLL, C = -0.0685 (95% CI: -0.0928 to -0.0441) for the SMR, C = -0.0997 (95% CI: -0.1343 to -0.0652) for the IMR and C = -0.1207 (95% CI: -0.1523 to -0.0891) for the U5MR. Mortality outcomes within ethnic groups were also found to be less favourable among the poor.
CONCLUSION: The findings of this study suggest that socioeconomic inequalities disfavouring the poor exist in Malaysia.
METHODS: Data from multiple sources were used to estimate diarrheal mortality and morbidity according to health service utilization. The proportion of this burden attributable to rotavirus was estimated from a community-based study and a meta-analysis we conducted of primary hospital-based studies. Rotavirus incidence was determined by multiplying acute gastroenteritis incidence with estimates of the proportion of gastroenteritis attributable to rotavirus. The economic burden of rotavirus disease was estimated from the health systems and societal perspective.
RESULTS: Annually, rotavirus results in 27 deaths, 31,000 hospitalizations, 41,000 outpatient visits and 145,000 episodes of home-treated gastroenteritis in Malaysia. We estimate an annual rotavirus incidence of 1 death per 100,000 children and 12 hospitalizations, 16 outpatient clinic visits and 57 home-treated episodes per 1000 children under-5 years. Annually, RVGE is estimated to cost US$ 34 million to the healthcare provider and US$ 50 million to society. Productivity loss contributes almost a third of costs to society. Publicly, privately and home-treated episodes consist of 52%, 27% and 21%, respectively, of the total societal costs.
CONCLUSIONS: RVGE represents a considerable health and economic burden in Malaysia. Much of the burden lies in privately or home-treated episodes and is poorly captured in previous studies. This study provides vital information for future evaluation of cost-effectiveness, which are necessary for policy-making regarding universal vaccination.
Methods: Malaysian COVID-19 data was extracted from 16 March 2020 up to 31 May 2021. We estimated the following epidemiological indicators: 7-day incidence rates, 7-day mortality rates, case fatality rates, test positive ratios, testing rates and the time-varying reproduction number (Rt).
Findings: Between 16 March 2020 and 31 May 2021, Malaysia has reported 571,901 cases and 2,796 deaths. Malaysia's average 7-day incidence rate was 26•6 reported infections per 100,000 population (95% CI: 17•8, 38•1). The average test positive ratio and testing rate were 4•3% (95% CI: 1•6, 10•2) and 0•8 tests per 1,000 population (95% CI: <0•1, 3•7), respectively. The case fatality rates (CFR) was 0•6% (95% CI: <0•1, 3•7). Among the 2,796 cases who died, 87•3% were ≥ 50 years.
Interpretation: The public health response was successful in the suppression of COVID-19 transmission or the first half of 2020. However, a state election and outbreaks in institutionalised populations have been the catalyst for more significant community propagation. This rising community transmission has continued in 2021, leading to increased incidence and strained healthcare systems. Calibrating NPI based on epidemiological indicators remain critical for us to live with the virus. (243 words).
Funding: This study is part of the COVID-19 Epidemiological Analysis and Strategies (CEASe) Project with funding from the Ministry of Science, Technology and Innovation (UM.0000245/HGA.GV).
METHODS: We use qualitative data from 17 in-depth interviews conducted with key informants from civil society organisations, trade unions, academia, medical professionals, as well as migrant workers and their representatives. We interviewed doctors working in public hospitals and private clinics frequented by migrants. Data were analysed using thematic analysis.
RESULTS: We found that healthcare services in Malaysia are often inaccessible to migrant workers. Complex access barriers were identified, many beyond the control of the health sector. Major themes include affordability and financial constraints, the need for legal documents like valid passports and work permits, language barriers, discrimination and xenophobia, physical inaccessibility and employer-related barriers. Our study suggests that government mandated insurance for migrant workers is insufficient in view of the recent increase in medical fees. The perceived close working relationship between the ministries of health and immigration effectively excludes undocumented migrants from access to public healthcare facilities. Language barriers may affect the quality of care received by migrant workers, by inadvertently resulting in medical errors, while preventing them from giving truly informed consent.
CONCLUSIONS: We propose instituting migrant-friendly health services at public facilities. We also suggest implementing a comprehensive health insurance to enable healthcare access and financial risk protection for all migrant workers. Non-health sector solutions include the formation of a multi-stakeholder migration management body towards a comprehensive national policy on labour migration which includes health.
Methods: This is a cross-sectional study using an available secondary data source - the Malaysian national dengue passive surveillance system, e-Dengue registry. A total of 61 455 serologically confirmed dengue cases from the Klang Valley, registered in year 2014, were included. We retrospectively examined the relationship between demographic factors and the choice of health-care sector by logistic regression.
Results: The median age of the cohort was 26 (interquartile range: 17 to 37) years. More private facilities (54.4%) were used for inpatient care; more public facilities (68.2%) were used for outpatient care. The Chinese and urban populations showed significantly higher use of the private health-care sector with an adjusted odds ratio of 4.8 [95% confidence interval (CI): 4.6-5.1] and 2.3 (95% CI: 2.2-2.4), respectively.
Conclusion: Both public and private health facilities bear significant responsibilities in delivering health-care services to dengue patients. The workload of both sectors should be included in future health policy planning by public agencies.