Literature DB >> 21816102

An improved method for physician-certified verbal autopsy reduces the rate of discrepancy: experiences in the Nouna Health and Demographic Surveillance Site (NHDSS), Burkina Faso.

Maurice Yé1, Eric Diboulo, Louis Niamba, Ali Sié, Boubacar Coulibaly, Cheik Bagagnan, Jonas Dembélé, Heribert Ramroth.   

Abstract

BACKGROUND: Through application of the verbal autopsy (VA) approach, trained fieldworkers collect information about the probable cause of death (COD) by using a standardized questionnaire to interview family members who were present at the time of death. The physician-certified VA (PCVA), an independent review of this questionnaire data by up to three physicians trained in VA coding, is currently recommended by the World Health Organization (WHO) and is widely used in the INDEPTH Network. Even given its appropriateness in these contexts, a large percentage of causes of death assigned by VAs remains undetermined. As physicians often do not agree upon a final COD classification, there remains substantial room to improve the standard VA method, potentially leading to a reduction in physician discordance in COD coding.
METHODS: We present an extension of the current method of PCVA and compare it to the standard WHO-recommended procedure. We used VA data collected in the Nouna Health and Demographic Surveillance Site (NHDSS) between 2009 and 2010 using a locally-adapted version of an INDEPTH standard verbal autopsy questionnaire. Until 2009, physicians in the NHDSS followed the WHO method (Method 1). As an extension of Method 1, starting in 2010, the use of a panel of physicians was added to the coding process in the case where a third physician's final conclusions resulted in an undetermined COD (Method 2). Two independent samples of VA questionnaires were compared for the year 2009 (using Method 1) and the year 2010 (using Method 2).
RESULTS: The WHO-recommended method used for 2009 yielded a high level of undetermined CODs, where the final coding was "undetermined" in 50.8% of all questionnaires due to disagreement among participating physicians (Method 1). By introducing a panel of physicians in 2010 for cases where the principal physicians disagreed on the cause of death, the revised method significantly reduced the proportion of undetermined CODs to 1.5% (Method 2).
CONCLUSIONS: As the extended method of PCVA significantly improved the accuracy of the VA procedure, we suggest the adoption of this method for those countries where alternatives like computer-based VA coding are not available. Based on the results of our study, further research should be pursued.

Entities:  

Year:  2011        PMID: 21816102      PMCID: PMC3160927          DOI: 10.1186/1478-7954-9-34

Source DB:  PubMed          Journal:  Popul Health Metr        ISSN: 1478-7954


  12 in total

1.  A probabilistic approach to interpreting verbal autopsies: methodology and preliminary validation in Vietnam.

Authors:  Peter Byass; Dao Lan Huong; Hoang Van Minh
Journal:  Scand J Public Health Suppl       Date:  2003       Impact factor: 3.021

2.  Assessing a new approach to verbal autopsy interpretation in a rural Ethiopian community: the InterVA model.

Authors:  Mesganaw Fantahun; Edward Fottrell; Yemane Berhane; Stig Wall; Ulf Högberg; Peter Byass
Journal:  Bull World Health Organ       Date:  2006-03-22       Impact factor: 9.408

3.  Setting international standards for verbal autopsy.

Authors:  Frank Baiden; Ayaga Bawah; Sidu Biai; Fred Binka; Ties Boerma; Peter Byass; Daniel Chandramohan; Somnath Chatterji; Cyril Engmann; Dieltiens Greet; Robert Jakob; Kathleen Kahn; Osamu Kunii; Alan D Lopez; Christopher J L Murray; Bernard Nahlen; Chalapati Rao; Osman Sankoh; Philip W Setel; Kenji Shibuya; Nadia Soleman; Linda Wright; Gonghuan Yang
Journal:  Bull World Health Organ       Date:  2007-08       Impact factor: 9.408

4.  Verbal autopsy coding: are multiple coders better than one?

Authors:  Rohina Joshi; Alan D Lopez; Stephen MacMahon; Srinath Reddy; Rakhi Dandona; Lalit Dandona; Bruce Neal
Journal:  Bull World Health Organ       Date:  2009-01       Impact factor: 9.408

5.  Refining a probabilistic model for interpreting verbal autopsy data.

Authors:  Peter Byass; Edward Fottrell; Lan Huong Dao; Yemane Berhane; Tumani Corrah; Kathleen Kahn; Lulu Muhe; Duc Van Do
Journal:  Scand J Public Health       Date:  2006       Impact factor: 3.021

6.  The Health and Demographic Surveillance System (HDSS) in Nouna, Burkina Faso, 1993-2007.

Authors:  Ali Sié; Valérie R Louis; Adjima Gbangou; Olaf Müller; Louis Niamba; Gabriele Stieglbauer; Maurice Yé; Bocar Kouyaté; Rainer Sauerborn; Heiko Becher
Journal:  Glob Health Action       Date:  2010-09-14       Impact factor: 2.640

7.  Diagnosis of causes of childhood deaths in developing countries by verbal autopsy: suggested criteria. The SEARCH Team.

Authors:  A T Bang; R A Bang
Journal:  Bull World Health Organ       Date:  1992       Impact factor: 9.408

8.  Verbal autopsy interpretation: a comparative analysis of the InterVA model versus physician review in determining causes of death in the Nairobi DSS.

Authors:  Samuel O Oti; Catherine Kyobutungi
Journal:  Popul Health Metr       Date:  2010-06-29

9.  Prospective study of one million deaths in India: rationale, design, and validation results.

Authors:  Prabhat Jha; Vendhan Gajalakshmi; Prakash C Gupta; Rajesh Kumar; Prem Mony; Neeraj Dhingra; Richard Peto
Journal:  PLoS Med       Date:  2005-12-20       Impact factor: 11.069

10.  Revealing the burden of maternal mortality: a probabilistic model for determining pregnancy-related causes of death from verbal autopsies.

Authors:  Edward Fottrell; Peter Byass; Thomas W Ouedraogo; Cecile Tamini; Adjima Gbangou; Issiaka Sombié; Ulf Högberg; Karen H Witten; Sohinee Bhattacharya; Teklay Desta; Sylvia Deganus; Janet Tornui; Ann E Fitzmaurice; Nicolas Meda; Wendy J Graham
Journal:  Popul Health Metr       Date:  2007-02-08
View more
  7 in total

1.  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

2.  Verbal Autopsy: Evaluation of Methods to Certify Causes of Death in Uganda.

Authors:  Arthur Mpimbaza; Scott Filler; Agaba Katureebe; Linda Quick; Daniel Chandramohan; Sarah G Staedke
Journal:  PLoS One       Date:  2015-06-18       Impact factor: 3.240

3.  Main causes of death in Dande, Angola: results from Verbal Autopsies of deaths occurring during 2009-2012.

Authors:  Edite Vila Nova Rosário; Diogo Costa; Luís Timóteo; Ana Ambrósio Rodrigues; Jorge Varanda; Susana Vaz Nery; Miguel Brito
Journal:  BMC Public Health       Date:  2016-08-04       Impact factor: 3.295

4.  Neonatal azithromycin administration to prevent infant mortality: study protocol for a randomised controlled trial.

Authors:  Ali Sie; Mamadou Bountogo; Eric Nebie; Mamadou Ouattara; Boubacar Coulibaly; Cheik Bagagnan; Pascal Zabre; Elodie Lebas; Jessica Brogdon; William W Godwin; Ying Lin; Travis Porco; Thuy Doan; Thomas M Lietman; Catherine E Oldenburg
Journal:  BMJ Open       Date:  2019-09-04       Impact factor: 2.692

Review 5.  Validation of verbal autopsy methods for assessment of child mortality in sub-Saharan Africa and the policy implication: a rapid review.

Authors:  Chigozie Jesse Uneke; Henry Chukwuemeka Uro-Chukwu; Onyedikachi Echefu Chukwu
Journal:  Pan Afr Med J       Date:  2019-08-22

6.  Weather and mortality: a 10 year retrospective analysis of the Nouna Health and Demographic Surveillance System, Burkina Faso.

Authors:  Eric Diboulo; Ali Sié; Joacim Rocklöv; Louis Niamba; Maurice Yé; Cheik Bagagnan; Rainer Sauerborn
Journal:  Glob Health Action       Date:  2012-11-23       Impact factor: 2.640

7.  Pattern of all-causes and cause-specific mortality in an area with progressively declining malaria burden in Korogwe district, north-eastern Tanzania.

Authors:  Daniel P Challe; Mathias L Kamugisha; Bruno P Mmbando; Filbert Francis; Mercy G Chiduo; Celine I Mandara; Samuel Gesase; Omari Abdul; Martha M Lemnge; Deus S Ishengoma
Journal:  Malar J       Date:  2018-02-27       Impact factor: 2.979

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.