Literature DB >> 22574916

Cause of death distribution with InterVA and physician coding in a rural area of Burkina Faso.

Heribert Ramroth1, Eva Lorenz, Johanna C Rankin, Edward Fottrell, Maurice Yé, Florian Neuhann, Mark Ssennono, Ali Sié, Peter Byass, Heiko Becher.   

Abstract

OBJECTIVES: To compare the cause of death distribution using the Physician Coded Verbal Autopsy approach versus the Interpreting Verbal Autopsy model, based on information from a French verbal autopsy questionnaire, in rural north-western Burkina Faso.
METHODS: Data from 5649 verbal autopsy questionnaires reviewed by local physicians at the Nouna Health and Demographic Surveillance Site between 1998 and 2007 were considered for analyses. Information from VA interviews was extracted to create a set of standard indicators needed to run the Interpreting Verbal Autopsy model. Cause-specific mortality fractions were used to compare Physician Coded Verbal Autopsy and Interpreting Verbal Autopsy results.
RESULTS: At the population level, 62.5% of causes of death using the Interpreting Verbal Autopsy model corresponded with those determined by two or three physicians. Although seven of the 10 main causes of death were present in both approaches, the comparison of percentages of single causes of death shows discrepancies, dominated by higher malaria rates found in the Physician Coded Verbal Autopsy approach.
CONCLUSION: Our results confirm that national mortality statistics, which are partly based on verbal autopsies, must be carefully interpreted. Difficulties in determining malaria as cause of death in holoendemic malaria regions might result in higher discrepancies than those in non-endemic areas. As neither Physician Coded Verbal Autopsy nor Interpreting Verbal Autopsy results represent a gold standard, uncertainty levels with either procedure are high.
© 2012 Blackwell Publishing Ltd.

Entities:  

Mesh:

Year:  2012        PMID: 22574916     DOI: 10.1111/j.1365-3156.2012.02998.x

Source DB:  PubMed          Journal:  Trop Med Int Health        ISSN: 1360-2276            Impact factor:   2.622


  15 in total

1.  Trends in Causes of Adult Deaths among the Urban Poor: Evidence from Nairobi Urban Health and Demographic Surveillance System, 2003-2012.

Authors:  Blessing Mberu; Marylene Wamukoya; Samuel Oti; Catherine Kyobutungi
Journal:  J Urban Health       Date:  2015-06       Impact factor: 3.671

2.  Exploring the role narrative free-text plays in discrepancies between physician coding and the InterVA regarding determination of malaria as cause of death, in a malaria holo-endemic region.

Authors:  Johanna C Rankin; Eva Lorenz; Florian Neuhann; Maurice Yé; Ali Sié; Heiko Becher; Heribert Ramroth
Journal:  Malar J       Date:  2012-02-21       Impact factor: 2.979

3.  Comparison of the Causes of Death Identified Using Automated Verbal Autopsy and Complete Autopsy among Brought-in-Dead Cases at a Tertiary Hospital in Sub-Sahara Africa.

Authors:  Yuta Yokobori; Jun Matsuura; Yasuo Sugiura; Charles Mutemba; Peter Julius; Cordelia Himwaze; Martin Nyahoda; Chomba Mwango; Lloyd Kazhumbula; Motoyuki Yuasa; Brian Munkombwe; Luchenga Mucheleng'anga
Journal:  Appl Clin Inform       Date:  2022-06-15       Impact factor: 2.762

4.  The effect of increased coverage of participatory women's groups on neonatal mortality in Bangladesh: A cluster randomized trial.

Authors:  Edward Fottrell; Kishwar Azad; Abdul Kuddus; Layla Younes; Sanjit Shaha; Tasmin Nahar; Bedowra Haq Aumon; Munir Hossen; James Beard; Tanvir Hossain; Anni-Maria Pulkki-Brannstrom; Jolene Skordis-Worrall; Audrey Prost; Anthony Costello; Tanja A J Houweling
Journal:  JAMA Pediatr       Date:  2013-09       Impact factor: 16.193

5.  Trends in non-communicable disease mortality among adult residents in Nairobi's slums, 2003-2011: applying InterVA-4 to verbal autopsy data.

Authors:  Samuel O Oti; Steven van de Vijver; Catherine Kyobutungi
Journal:  Glob Health Action       Date:  2014-10-29       Impact factor: 2.640

6.  Strengthening standardised interpretation of verbal autopsy data: the new InterVA-4 tool.

Authors:  Peter Byass; Daniel Chandramohan; Samuel J Clark; Lucia D'Ambruoso; Edward Fottrell; Wendy J Graham; Abraham J Herbst; Abraham Hodgson; Sennen Hounton; Kathleen Kahn; Anand Krishnan; Jordana Leitao; Frank Odhiambo; Osman A Sankoh; Stephen M Tollman
Journal:  Glob Health Action       Date:  2012-09-03       Impact factor: 2.640

7.  Seasonal and temporal trends in all-cause and malaria mortality in rural Burkina Faso, 1998-2007.

Authors:  Eveline Otte im Kampe; Olaf Müller; Ali Sie; Heiko Becher
Journal:  Malar J       Date:  2015-08-05       Impact factor: 2.979

Review 8.  Comparison of physician-certified verbal autopsy with computer-coded verbal autopsy for cause of death assignment in hospitalized patients in low- and middle-income countries: systematic review.

Authors:  Jordana Leitao; Nikita Desai; Lukasz Aleksandrowicz; Peter Byass; Pierre Miasnikof; Stephen Tollman; Dewan Alam; Ying Lu; Suresh Kumar Rathi; Abhishek Singh; Wilson Suraweera; Faujdar Ram; Prabhat Jha
Journal:  BMC Med       Date:  2014-02-04       Impact factor: 8.775

9.  InterVA versus Spectrum: how comparable are they in estimating AIDS mortality patterns in Nairobi's informal settlements?

Authors:  Samuel Oji Oti; Marilyn Wamukoya; Mary Mahy; Catherine Kyobutungi
Journal:  Glob Health Action       Date:  2013-10-23       Impact factor: 2.640

10.  The contribution of reduction in malaria as a cause of rapid decline of under-five mortality: evidence from the Rufiji Health and Demographic Surveillance System (HDSS) in rural Tanzania.

Authors:  Almamy M Kanté; Rose Nathan; Stéphane Helleringer; Mrema Sigilbert; Francis Levira; Honorati Masanja; Don de Savigny; Salim Abdulla; James F Phillips
Journal:  Malar J       Date:  2014-05-10       Impact factor: 2.979

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.