Evidence map›Paper›PMID 30678685›Full record

ArticleBMC public health2019

Cause-specific mortality estimates for Malaysia in 2013: results from a national sample verification study using medical record review and verbal autopsy.

Azahadi Omar, Shubash Shander Ganapathy, Mohamad Fuad Mohamad Anuar, Yi Yi Khoo, Chandrika Jeevananthan, S Maria Awaluddin, Jane Ling Miaw Yn, Chalapati Rao

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
9.5field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
  2. Article
  3. Top ten causes of death in Malaysia for the years 2013 and 2019.The Lancet regional health. Western Pacific · 2024
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  9. Factors associated with improper metered-dose inhaler technique among adults with asthma in a primary care clinic in Malaysia.Malaysian family physician : the official journal of the Academy of Family Physicians of Malaysia · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 2 countries.

Azahadi OmarInstitute for Public Health, Ministry of Health Malaysia, Jalan Bangsar, 50590, Kuala Lumpur, Malaysia. drazahadi@moh.gov.my.ORCID http://orcid.org/0000-0002-5171-851X
Shubash Shander GanapathyInstitute for Public Health, Ministry of Health Malaysia, Jalan Bangsar, 50590, Kuala Lumpur, Malaysia.
Mohamad Fuad Mohamad AnuarInstitute for Public Health, Ministry of Health Malaysia, Jalan Bangsar, 50590, Kuala Lumpur, Malaysia.
Yi Yi KhooDepartment of Social and Preventive Medicine, University of Malaya, Kuala Lumpur, Malaysia.
Chandrika JeevananthanInstitute for Public Health, Ministry of Health Malaysia, Jalan Bangsar, 50590, Kuala Lumpur, Malaysia.
S Maria AwaluddinInstitute for Public Health, Ministry of Health Malaysia, Jalan Bangsar, 50590, Kuala Lumpur, Malaysia.
Jane Ling Miaw YnInstitute for Public Health, Ministry of Health Malaysia, Jalan Bangsar, 50590, Kuala Lumpur, Malaysia.
Chalapati RaoDepartment of Global Health, Research School of Population Health, Australian National University, Canberra, Australia.
Ministry of Health · MYAustralian National University · AUUniversity of Malaya · MY

Funding

Research Grant, Ministry of Health, Malaysia NMRR-13-1369-18689
6 · The paper itself

Abstract

backgroundMortality 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.

methodsThis is a cross-sectional study involving a nationally representative sample of 14,497 deaths distributed across 19 districts. Registered causes of deaths were verified using standard medical record review protocols for hospital deaths, and locally adapted international standard verbal autopsy procedures for deaths outside hospitals. The findings were used to measure the validity and reliability of the registration data, as well as to establish plausible cause-specific mortality fractions for hospital and non-hospital deaths, which were subsequently used as the basis for estimating national cause-specific mortality indicators.

resultsThe overall response rate for the study was 67%. Verified causes of 5041 hospital deaths and 3724 deaths outside hospitals were used to derive national mortality estimates for 2013 by age, sex and cause. The study was able to reclassify most of the ill-defined deaths to a specific cause. The leading causes of deaths for males were Ischaemic Heart Disease (15.4%), Cerebrovascular diseases (13.7%), Chronic Obstructive Pulmonary Disease (8.5%) and Road Traffic Accident (8.0%). Among females, the leading causes were Cerebrovascular diseases (18.3%), Ischaemic Heart Disease (12.7%), Lower Respiratory Infections (11.5%) and Diabetes Mellitus (7.2%).

conclusionsInvestigation of registered causes of death using verbal autopsy and medical record review yielded adequate information to enable estimation of cause-specific mortality indicators in Malaysia. Strengthening the national mortality statistics system must be made a priority as it is a core data source for policy and evaluation of the public health and healthcare sectors in Malaysia.

Indexed as

Cause of DeathMedical RecordsAdolescentAdultAutopsyChildChild, PreschoolCross-Sectional StudiesFemaleHumansInfantInfant, NewbornMalaysiaMaleMiddle AgedReproducibility of ResultsCause of deathsMalaysiaMortality

Identifiers

PMID30678685
PMCPMC6345029
OpenAlexW2922492735

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.