2019
DOI: 10.1186/s12889-018-6384-7
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Cause-specific mortality estimates for Malaysia in 2013: results from a national sample verification study using medical record review and verbal autopsy

Abstract: Background: Mortality indicators are essential for monitoring population health. Although Malaysia has a functional death registration system, the quality of information on causes of death still needs improvement, since approximately 30% of deaths are classified to poorly defined causes. This study was conducted to verify registered causes in a sample of deaths in 2013 and utilise the findings to estimate cause-specific mortality indicators for Malaysia in 2013. Methods: This is a cross-sectional study involvi… Show more

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Cited by 24 publications
(23 citation statements)
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“…For example, a recent analysis for Malaysia showed statistically significant differences between age-standardised cause-specific mortality rates for 7 out of 10 leading causes in males and females, when comparing estimates from a nationally representative epidemiological study with IHME estimates for Malaysia. 39 Similar differences have also been observed for European countries with high quality mortality data, and have been the subject of debate in the international public health community. [40][41][42] At another level too, since the IHME COD estimates are derived through indirect standardisation, the results are not directly comparable across different countries, particularly when there are differences in population age structure.…”
Section: Discussionmentioning
confidence: 52%
“…For example, a recent analysis for Malaysia showed statistically significant differences between age-standardised cause-specific mortality rates for 7 out of 10 leading causes in males and females, when comparing estimates from a nationally representative epidemiological study with IHME estimates for Malaysia. 39 Similar differences have also been observed for European countries with high quality mortality data, and have been the subject of debate in the international public health community. [40][41][42] At another level too, since the IHME COD estimates are derived through indirect standardisation, the results are not directly comparable across different countries, particularly when there are differences in population age structure.…”
Section: Discussionmentioning
confidence: 52%
“…The quality of causes of death could be assessed for the proportions assigned codes for ill-defined causes and for plausibility of age-sex patterns by cause. Validity and reliability of causes of death could be directly evaluated through epidemiological studies that compare registered causes of death against information from clinical records, or from household VA interviews 46 52 53…”
Section: Crvs Assessmentmentioning
confidence: 99%
“…Findings from these vital statistics data quality assessments can help locate gaps and weaknesses in data capture, data management and information flow which need to be resolved to improve data quality 39 40. The empirically derived estimates of completeness and patterns of misclassification of causes of death in registration data can be used for statistical adjustments and analyses to derive corrected mortality indicators 35 53 54. In principle, such local empirically derived mortality indicators have greater practical and political relevance for policy analysis and programme evaluation in national contexts, as compared with indicators reported from global estimation exercises.…”
Section: Crvs Assessmentmentioning
confidence: 99%
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“…For deaths in the sample that had occurred in hospitals, available medical records were reviewed to validate registered causes. The study findings were utilized to adjust the data gaps in the registration data and derive the first-ever empirical national cause-specific mortality estimates for Malaysia [11].…”
Section: Field Activitiesmentioning
confidence: 99%