Evidence map›Paper›PMID 35999519›Full record

ArticleBMC public health2022

Strengthening causes of death identification through community-based verbal autopsy during the COVID-19 pandemic.

Kemal Nazarudin Siregar, Rico Kurniawan, Dion Zein Nuridzin, Ryza Jazid BaharuddinNur, Retnowati, Yolanda Handayani, Rohjayanti, Lindawati Halim

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Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

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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.

Kemal Nazarudin SiregarDepartment of Biostatistics and Population Studies, Faculty of Public Health, Universitas Indonesia, Depok City, Indonesia. nazarudin.kemal51@gmail.com.
Rico KurniawanDepartment of Biostatistics and Population Studies, Faculty of Public Health, Universitas Indonesia, Depok City, Indonesia.
Dion Zein NuridzinDepartment of Biostatistics and Population Studies, Faculty of Public Health, Universitas Diponegoro, Semarang City, Indonesia.
Ryza Jazid BaharuddinNurCenter of Biostatistics and Health Informatics, Faculty of Public Health, Universitas Indonesia, Depok City, Indonesia.
RetnowatiMedical Record and Health Information Department, Semarang Health Polytechnic Ministry of Health, Semarang City, Indonesia.
Yolanda HandayaniHealth Informatics Research Cluster (HIRC) Faculty of Public Health, Universitas Indonesia, Depok City, Indonesia.
RohjayantiHead of NCD Prevention and Control Section, Bogor District Health Office, Bogor District, Indonesia.
Lindawati HalimHealth Center Coordinator in Babakan Madang Sub-District, Bogor District, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIndonesia has not optimally provided complete and reliable civil registration and vital statistics (CRVS). Death certification is one of the elements of the CRVS system. Reliable data on death rates and causes serve as the basis for building a strong evidence base for public health policy, planning, monitoring, and evaluation. This study aims to implement an approach to identifying the cause of death through verbal autopsy by empowering community health workers during the pandemic.

methodThis study is implementation research with the empowerment of the community, in this case, health cadres and health facilitators/workers, to identify the cause of death through a mobile-based verbal autopsy. This implementation research consisted of four main activities: community-based verbal autopsy, mobile-based verbal autopsy development, data collection, and analysis of the suspected causes of death using InterVA-5.

resultFrom October to November 2020, a total of 143 respondents were willing to do a verbal autopsy interview (response rate of 58%). Of 143 respondents, most of them were women (112 or 78.3%), was the child of the deceased (61 or 42.7%) and lived with the deceased until before he/she died (120 or 83.9%). Based on the characteristics of the deceased, of 143 deceased, 78 (54.5%) were male, 134 (93.7%) were adults, 100 (69.9%) died at home, and 119 (83.2%) did not have a death certificate stating the cause of death. The cause of death of 143 deceased mainly was infectious disease (92 or 64.3%), followed by non-communicable disease (39 or 27.3%), external factors (5 or 3.5%), and unknown factors (4 or 2.8%). In sequence, the top five suspected causes of death are acute respiratory infection, including pneumonia (72 or 50.3%), other and unspecified infectious disease (18 or 12.6%), other and unspecified cardiac disease (17 or 11.9%), acute cardiac disease (4 or 2.8%), and Digestive neoplasms (4 or 2.8%).

conclusionThe findings showed that the mobile-based verbal autopsy using a community-based mechanism was feasible during the COVID-19 pandemic.

Indexed as

Communicable DiseasesCOVID-19Heart DiseasesNoncommunicable DiseasesAdultAutopsyCause of DeathChildFemaleHumansMalePandemicsPopulation SurveillanceCauses of deathCommunity-based verbal autopsyCovid-19Mobile-based verbal autopsyVerbal autopsy

Identifiers

PMID35999519
PMCPMC9398045

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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.