Routine mortality surveillance to identify the cause of death pattern for out-of-hospital adult (aged 12+ years) deaths in Bangladesh: introduction of automated verbal autopsy
Abstract Background In Bangladesh, a poorly functioning national system of registering deaths and determining their causes leaves the country without important information on which to inform health programming, particularly for the 85% of deaths that occur in the community. In 2017, an improved deat...
| Main Authors: | , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2021-03-01
|
| Series: | BMC Public Health |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12889-021-10468-7 |
| _version_ | 1818872478317936640 |
|---|---|
| author | Md. Toufiq Hassan Shawon Shah Ali Akbar Ashrafi Abul Kalam Azad Sonja M. Firth Hafizur Chowdhury Robert G. Mswia Tim Adair Ian Riley Carla Abouzahr Alan D. Lopez |
| author_facet | Md. Toufiq Hassan Shawon Shah Ali Akbar Ashrafi Abul Kalam Azad Sonja M. Firth Hafizur Chowdhury Robert G. Mswia Tim Adair Ian Riley Carla Abouzahr Alan D. Lopez |
| author_sort | Md. Toufiq Hassan Shawon |
| collection | DOAJ |
| description | Abstract Background In Bangladesh, a poorly functioning national system of registering deaths and determining their causes leaves the country without important information on which to inform health programming, particularly for the 85% of deaths that occur in the community. In 2017, an improved death registration system and automated verbal autopsy (VA) were introduced to 13 upazilas to assess the utility of VA as a routine source of policy-relevant information and to identify leading causes of deaths (COD) in rural Bangladesh. Methods Data from 22,535 VAs, collected in 12 upazilas between October 2017 and August 2019, were assigned a COD using the SmartVA Analyze 2.0 computer algorithm. The plausibility of the VA results was assessed using a series of demographic and epidemiological checks in the Verbal Autopsy Interpretation, Performance and Evaluation Resource (VIPER) software tool. Results Completeness of community death reporting was 65%. The vast majority (85%) of adult deaths were due to non-communicable diseases, with ischemic heart disease, stroke and chronic respiratory disease comprising about 60% alone. Leading COD were broadly consistent with Global Burden of Disease study estimates. Conclusions Routine VA collection using automated methods is feasible, can produce plausible results and provides critical information on community COD in Bangladesh. Routine VA and VIPER have potential application to countries with weak death registration systems. |
| first_indexed | 2024-12-19T12:39:27Z |
| format | Article |
| id | doaj.art-8e4287f7718c4dd59e895c8e761455b4 |
| institution | Directory Open Access Journal |
| issn | 1471-2458 |
| language | English |
| last_indexed | 2024-12-19T12:39:27Z |
| publishDate | 2021-03-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Public Health |
| spelling | doaj.art-8e4287f7718c4dd59e895c8e761455b42022-12-21T20:21:02ZengBMCBMC Public Health1471-24582021-03-0121111110.1186/s12889-021-10468-7Routine mortality surveillance to identify the cause of death pattern for out-of-hospital adult (aged 12+ years) deaths in Bangladesh: introduction of automated verbal autopsyMd. Toufiq Hassan Shawon0Shah Ali Akbar Ashrafi1Abul Kalam Azad2Sonja M. Firth3Hafizur Chowdhury4Robert G. Mswia5Tim Adair6Ian Riley7Carla Abouzahr8Alan D. Lopez9Directorate General of Health Services, Ministry of Health and Family WelfareData for Health Initiative, Vital StrategiesDirectorate General of Health Services, Ministry of Health and Family WelfareSchool of Population and Global Health, University of MelbourneSchool of Population and Global Health, University of MelbourneVital StrategiesSchool of Population and Global Health, University of MelbourneSchool of Population and Global Health, University of MelbourneData for Health Initiative, Vital StrategiesSchool of Population and Global Health, University of MelbourneAbstract Background In Bangladesh, a poorly functioning national system of registering deaths and determining their causes leaves the country without important information on which to inform health programming, particularly for the 85% of deaths that occur in the community. In 2017, an improved death registration system and automated verbal autopsy (VA) were introduced to 13 upazilas to assess the utility of VA as a routine source of policy-relevant information and to identify leading causes of deaths (COD) in rural Bangladesh. Methods Data from 22,535 VAs, collected in 12 upazilas between October 2017 and August 2019, were assigned a COD using the SmartVA Analyze 2.0 computer algorithm. The plausibility of the VA results was assessed using a series of demographic and epidemiological checks in the Verbal Autopsy Interpretation, Performance and Evaluation Resource (VIPER) software tool. Results Completeness of community death reporting was 65%. The vast majority (85%) of adult deaths were due to non-communicable diseases, with ischemic heart disease, stroke and chronic respiratory disease comprising about 60% alone. Leading COD were broadly consistent with Global Burden of Disease study estimates. Conclusions Routine VA collection using automated methods is feasible, can produce plausible results and provides critical information on community COD in Bangladesh. Routine VA and VIPER have potential application to countries with weak death registration systems.https://doi.org/10.1186/s12889-021-10468-7Automated verbal autopsyMortality statisticsCommunity deathsBangladeshCauses of death |
| spellingShingle | Md. Toufiq Hassan Shawon Shah Ali Akbar Ashrafi Abul Kalam Azad Sonja M. Firth Hafizur Chowdhury Robert G. Mswia Tim Adair Ian Riley Carla Abouzahr Alan D. Lopez Routine mortality surveillance to identify the cause of death pattern for out-of-hospital adult (aged 12+ years) deaths in Bangladesh: introduction of automated verbal autopsy BMC Public Health Automated verbal autopsy Mortality statistics Community deaths Bangladesh Causes of death |
| title | Routine mortality surveillance to identify the cause of death pattern for out-of-hospital adult (aged 12+ years) deaths in Bangladesh: introduction of automated verbal autopsy |
| title_full | Routine mortality surveillance to identify the cause of death pattern for out-of-hospital adult (aged 12+ years) deaths in Bangladesh: introduction of automated verbal autopsy |
| title_fullStr | Routine mortality surveillance to identify the cause of death pattern for out-of-hospital adult (aged 12+ years) deaths in Bangladesh: introduction of automated verbal autopsy |
| title_full_unstemmed | Routine mortality surveillance to identify the cause of death pattern for out-of-hospital adult (aged 12+ years) deaths in Bangladesh: introduction of automated verbal autopsy |
| title_short | Routine mortality surveillance to identify the cause of death pattern for out-of-hospital adult (aged 12+ years) deaths in Bangladesh: introduction of automated verbal autopsy |
| title_sort | routine mortality surveillance to identify the cause of death pattern for out of hospital adult aged 12 years deaths in bangladesh introduction of automated verbal autopsy |
| topic | Automated verbal autopsy Mortality statistics Community deaths Bangladesh Causes of death |
| url | https://doi.org/10.1186/s12889-021-10468-7 |
| work_keys_str_mv | AT mdtoufiqhassanshawon routinemortalitysurveillancetoidentifythecauseofdeathpatternforoutofhospitaladultaged12yearsdeathsinbangladeshintroductionofautomatedverbalautopsy AT shahaliakbarashrafi routinemortalitysurveillancetoidentifythecauseofdeathpatternforoutofhospitaladultaged12yearsdeathsinbangladeshintroductionofautomatedverbalautopsy AT abulkalamazad routinemortalitysurveillancetoidentifythecauseofdeathpatternforoutofhospitaladultaged12yearsdeathsinbangladeshintroductionofautomatedverbalautopsy AT sonjamfirth routinemortalitysurveillancetoidentifythecauseofdeathpatternforoutofhospitaladultaged12yearsdeathsinbangladeshintroductionofautomatedverbalautopsy AT hafizurchowdhury routinemortalitysurveillancetoidentifythecauseofdeathpatternforoutofhospitaladultaged12yearsdeathsinbangladeshintroductionofautomatedverbalautopsy AT robertgmswia routinemortalitysurveillancetoidentifythecauseofdeathpatternforoutofhospitaladultaged12yearsdeathsinbangladeshintroductionofautomatedverbalautopsy AT timadair routinemortalitysurveillancetoidentifythecauseofdeathpatternforoutofhospitaladultaged12yearsdeathsinbangladeshintroductionofautomatedverbalautopsy AT ianriley routinemortalitysurveillancetoidentifythecauseofdeathpatternforoutofhospitaladultaged12yearsdeathsinbangladeshintroductionofautomatedverbalautopsy AT carlaabouzahr routinemortalitysurveillancetoidentifythecauseofdeathpatternforoutofhospitaladultaged12yearsdeathsinbangladeshintroductionofautomatedverbalautopsy AT alandlopez routinemortalitysurveillancetoidentifythecauseofdeathpatternforoutofhospitaladultaged12yearsdeathsinbangladeshintroductionofautomatedverbalautopsy |