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Validation of verbal autopsy: determination of cause of deaths in Malaysia 2013

Overview of attention for article published in BMC Public Health, August 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

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2 news outlets
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1 Facebook page

Citations

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18 Dimensions

Readers on

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71 Mendeley
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Title
Validation of verbal autopsy: determination of cause of deaths in Malaysia 2013
Published in
BMC Public Health, August 2017
DOI 10.1186/s12889-017-4668-y
Pubmed ID
Authors

Shubash Shander Ganapathy, Khoo Yi Yi, Mohd Azahadi Omar, Mohamad Fuad Mohamad Anuar, Chandrika Jeevananthan, Chalapati Rao

Abstract

Mortality statistics by age, sex and cause are the foundation of basic health data required for health status assessment, epidemiological research and formation of health policy. Close to half the deaths in Malaysia occur outside a health facility, are not attended by medical personnel, and are given a lay opinion as to the cause of death, leading to poor quality of data from vital registration. Verbal autopsy (VA) is a very useful tool in diagnosing broad causes of deaths for events that occur outside health facilities. This article reports the development of the VA methods and our principal finding from a validation study. A cross sectional study on nationally representative sample deaths that occurred in Malaysia during 2013 was used. A VA questionnaire suitable for local use was developed. Trained field interviewers visited the family members of the deceased at their homes and conducted face to face interviews with the next of kin. Completed questionnaires were reviewed by trained physicians who assigned multiple and underlying causes. Reference diagnoses for validation were obtained from review of medical records (MR) available for a sample of the overall study deaths. Corresponding MR diagnosis with matched sample of the VA diagnosis were available in 2172 cases for the validation study. Sensitivity scores were good (>75%) for transport accidents and certain cancers. Moderate sensitivity (50% - 75%) was obtained for ischaemic heart disease (64%) and cerebrovascular disease (72%). The validation sample for deaths due to major causes such as ischaemic heart disease, pneumonia, breast cancer and transport accidents show low cause-specific mortality fraction (CSMF) changes. The scores obtained for the top 10 leading site-specific cancers ranged from average to good. We can conclude that VA is suitable for implementation for deaths outside the health facilities in Malaysia. This would reduce ill-defined mortality causes in vital registration data, and yield more accurate national mortality statistics.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 71 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 18%
Researcher 8 11%
Student > Ph. D. Student 7 10%
Other 6 8%
Student > Bachelor 4 6%
Other 15 21%
Unknown 18 25%
Readers by discipline Count As %
Medicine and Dentistry 27 38%
Social Sciences 7 10%
Nursing and Health Professions 5 7%
Sports and Recreations 5 7%
Economics, Econometrics and Finance 2 3%
Other 6 8%
Unknown 19 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 June 2018.
All research outputs
#1,797,567
of 23,090,520 outputs
Outputs from BMC Public Health
#1,977
of 15,053 outputs
Outputs of similar age
#37,425
of 318,638 outputs
Outputs of similar age from BMC Public Health
#36
of 182 outputs
Altmetric has tracked 23,090,520 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 15,053 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.0. This one has done well, scoring higher than 86% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 318,638 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 182 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.