Using Sleman’s Verbal Autopsy Health and Demographic Surveillance Data to Distinguish Ways of Death

Authors

  • Beta Ahlam Gizela
  • Idha Arfianti Wiraagni
  • Suhartini
  • Nurholis Majid Public

DOI:

https://doi.org/10.37506/ijfmt.v15i3.15713

Keywords:

cause of death, way of death, verbal autopsy, surveillance system

Abstract

Death can occur anywhere, with or without prior treatment by a healthcare professional. A good and
complete death registry will meet the information needs. Such a registry will also enhance community safety
efforts and policymaking in the health and population sectors. Analysis of risk factors, signs, and symptoms
observed before death provides useful information for estimating diseases or causes of death. Verbal autopsy
data must be explored in more depth to protect public law and improve health statistics.
Methods: This research used observational design. Data obtained from the Health and Demographic
Surveillance System of Sleman. Research subjects were all deaths recorded in verbal autopsy document
from 2014-2018. Descriptive statistical analysis was used.
Results: Differences in the proportion of gender from 2014-2017 were observed, where the number of
women was higher than men. Most deaths were above 65 years of age. Most deaths were natural deaths.
Unnatural deaths were caused by traffic accidents, drowning, murder, and others, with the most number of
cases occurring in 2014 (12%). Indeterminate deaths occurred annually, with the most cases in 2017 (13%).
Conclusions: Verbal autopsy has succeeded in distinguishing between natural and unnatural death.

Author Biographies

Beta Ahlam Gizela

Associate Professor, Forensic Surgeon, Department of Forensic Medicine, Faculty of Medicine, Public Health,
and Nursing, Gadjah Mada University, Yogyakarta, Indonesia

Idha Arfianti Wiraagni

Associate Professor, Forensic Surgeon, Department of Forensic Medicine, Faculty of Medicine, Public Health,
and Nursing, Gadjah Mada University, Yogyakarta, Indonesia

Suhartini

Associate Professor, Forensic Surgeon, Department of Forensic Medicine, Faculty of Medicine, Public Health,
and Nursing, Gadjah Mada University, Yogyakarta, Indonesia

Nurholis Majid Public

Health Researcher, Sinergi Sehat Indonesia
Association, Indonesia

Published

2021-05-17

How to Cite

Beta Ahlam Gizela, Idha Arfianti Wiraagni, Suhartini, & Nurholis Majid Public. (2021). Using Sleman’s Verbal Autopsy Health and Demographic Surveillance Data to Distinguish Ways of Death. Indian Journal of Forensic Medicine & Toxicology, 15(3), 2685-2692. https://doi.org/10.37506/ijfmt.v15i3.15713

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