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

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

doi:10.1111/j.1365-3156.2012.02998.x

Cited by 23 publications

(27 citation statements)

References 38 publications

(42 reference statements)

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“…1 The law in Burkina Faso officially recognizes traditional medicine as part of the health system (Loi No 23/94/ADP). The national policy on traditional medicine aims to integrate traditional medical practices and medicinal products derived from the traditional pharmacopoeia into the national health care system in order to improve access to medicines for the whole population.…”

Section: Introductionmentioning

confidence: 99%

SAYE: The Story of an Antimalarial Phytomedicine from Burkina Faso

Dakuyo¹,

Meda

et al. 2015

The Journal of Alternative and Complementary Medicine

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Section: Introductionmentioning

confidence: 99%

SAYE: The Story of an Antimalarial Phytomedicine from Burkina Faso

Dakuyo¹,

Meda

et al. 2015

The Journal of Alternative and Complementary Medicine

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“…VA techniques entail interviewing the main caregiver (in most cases, a relative) of the recently deceased individual to gather information on the circumstances surrounding the death (5, 7–10). It is assumed that the respondent would be able to recognize and recall premorbid signs and symptoms and would volunteer such information during the VA interview.…”

mentioning

confidence: 99%

Childhood cause-specific mortality in rural Western Kenya: application of the InterVA-4 model

Nyaguara

Odhiambo

Khagayi

et al. 2014

Global Health Action

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Background: Assessing the progress in achieving the United Nation's Millennium Development Goals in terms of population health requires consistent and reliable information on cause-specific mortality, which is often rare in resource-constrained countries. Health and demographic surveillance systems (HDSS) have largely used medical personnel to review and assign likely causes of death based on the information gathered from standardized verbal autopsy (VA) forms. However, this approach is expensive and time consuming, and it may lead to biased results based on the knowledge and experience of individual clinicians. We assessed the cause-specific mortality for children under 5 years old (under-5 deaths) in Siaya County, obtained from a computer-based probabilistic model (InterVA-4). Design: Successfully completed VA interviews for under-5 deaths conducted between January 2003 and December 2010 in the Kenya Medical Research Institute/US Centers for Disease Control and Prevention HDSS were extracted from the VA database and processed using the InterVA-4 (version 4.02) model for interpretation. Cause-specific mortality fractions were then generated from the causes of death produced by the model. Results: A total of 84.33% (6,621) childhood deaths had completed VA data during the study period. Children aged 1Á4 years constituted 48.53% of all cases, and 42.50% were from infants. A single cause of death was assigned to 89.18% (5,940) of cases, 8.35% (556) of cases were assigned two causes, and 2.10% (140) were assigned 'indeterminate' as cause of death by the InterVA-4 model. Overall, malaria (28.20%) was the leading cause of death, followed by acute respiratory infection including pneumonia (25.10%), in under-5 children over the study period. But in the first 5 years of the study period, acute respiratory infection including pneumonia was the main cause of death, followed by malaria. Similar trends were also reported in infants (29 daysÁ11 months) and children aged 1Á4 years. Conclusions: Under-5 cause-specific mortality obtained using the InterVA-4 model is consistent with existing knowledge on the burden of childhood diseases in rural western Kenya.

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“…These include the InterVA, a computer-based automated VA coding model, and the adoption by WHO of a set of standardised questionnaires that facilitate comparison across different geographical and environmental settings (7). InterVA has been validated in different settings throughout its evolution (8–11). …”

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Disease-specific mortality burdens in a rural Gambian population using verbal autopsy, 1998–2007

Jasseh

Howie

Gomez

et al. 2014

Global Health Action

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ObjectiveTo estimate and evaluate the cause-of-death structure and disease-specific mortality rates in a rural area of The Gambia as determined using the InterVA-4 model.DesignDeaths and person-years of observation were determined by age group for the population of the Farafenni Health and Demographic Surveillance area from January 1998 to December 2007. Causes of death were determined by verbal autopsy (VA) using the InterVA-4 model and ICD-10 disease classification. Assigned causes of death were classified into six broad groups: infectious and parasitic diseases; cancers; other non-communicable diseases; neonatal; maternal; and external causes. Poisson regression was used to estimate age and disease-specific mortality rates, and likelihood ratio tests were used to determine statistical significance.ResultsA total of 3,203 deaths were recorded and VA administered for 2,275 (71%). All-age mortality declined from 15 per 1,000 person-years in 1998–2001 to 8 per 1,000 person-years in 2005–2007. Children aged 1–4 years registered the most marked (74%) decline from 27 to 7 per 1,000 person-years. Communicable diseases accounted for half (49.9%) of the deaths in all age groups, dominated by acute respiratory infections (ARI) (13.7%), malaria (12.9%) and pulmonary tuberculosis (10.2%). The leading causes of death among infants were ARI (5.59 per 1,000 person-years [95% CI: 4.38–7.15]) and malaria (4.11 per 1,000 person-years [95% CI: 3.09–5.47]). Mortality rates in children aged 1–4 years were 3.06 per 1,000 person-years (95% CI: 2.58–3.63) for malaria, and 1.05 per 1,000 person-years (95% CI: 0.79–1.41) for ARI. The HIV-related mortality rate in this age group was 1.17 per 1,000 person-years (95% CI: 0.89–1.54). Pulmonary tuberculosis and communicable diseases other than malaria, HIV/AIDS and ARI were the main killers of adults aged 15 years and over. Stroke-related mortality increased to become the leading cause of death among the elderly aged 60 years or more in 2005–2007.ConclusionsMortality in the Farafenni HDSS area was dominated by communicable diseases. Malaria and ARI were the leading causes of death in the general population. In addition to these, diarrhoeal disease was a particularly important cause of death among children under 5 years of age, as was pulmonary tuberculosis among adults aged 15 years and above.

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

Abstract: Abstractobjectives 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.

Cited by 23 publications

References 38 publications

SAYE: The Story of an Antimalarial Phytomedicine from Burkina Faso

SAYE: The Story of an Antimalarial Phytomedicine from Burkina Faso

Childhood cause-specific mortality in rural Western Kenya: application of the InterVA-4 model

Disease-specific mortality burdens in a rural Gambian population using verbal autopsy, 1998–2007

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