Document Detail


Evaluation of neonatal verbal autopsy using physician review versus algorithm-based cause-of-death assignment in rural Nepal.
MedLine Citation:
PMID:  15958155     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Verbal autopsy (VA) is used to ascertain cause-specific neonatal mortality using parental/familial recall. We sought to compare agreement between causes of death obtained from the VA by physician review vs. computer-based algorithms. Data were drawn from a cluster-randomised trial involving 4130 live-born infants and 167 neonatal deaths in the rural Sarlahi District of Nepal. We examined the agreement between causes ascertained by physician review and algorithm assignment by the kappa (kappa) statistic. We also compared responses to identical questions posed posthumously during neonatal VA interviews with those obtained during maternal interviews and clinical examinations regarding condition of newborns soon after birth. Physician reviewers assigned prematurity or acute lower respiratory infection (ALRI) as causes of 48% of neonatal deaths; 41% were assigned as uncertain. The algorithm approach assigned sepsis (52%), ALRI (31%), birth asphyxia (29%), and prematurity (24%) as the most common causes of neonatal death. Physician review and algorithm assignment of causes of death showed high kappa for prematurity (0.73), diarrhoea (0.81) and ALRI (0.68), but was low for congenital malformation (0.44), birth asphyxia (0.17) and sepsis (0.00). Sensitivity and specificity of VA interview questions varied by symptom, with positive predictive values ranging from 50% to 100%, when compared with maternal interviews and examinations of neonates soon after birth. Analysis of the VA data by physician review and computer-based algorithms yielded disparate results for some causes but not for others. We recommend an analysis technique that combines both methods, and further validation studies to improve performance of the VA for assigning causes of neonatal death.
Authors:
James V Freeman; Parul Christian; Subarna K Khatry; Ramesh K Adhikari; Steven C LeClerq; Joanne Katz; Gary L Darmstadt
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Paediatric and perinatal epidemiology     Volume:  19     ISSN:  0269-5022     ISO Abbreviation:  Paediatr Perinat Epidemiol     Publication Date:  2005 Jul 
Date Detail:
Created Date:  2005-06-16     Completed Date:  2005-08-30     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  8709766     Medline TA:  Paediatr Perinat Epidemiol     Country:  England    
Other Details:
Languages:  eng     Pagination:  323-31     Citation Subset:  IM    
Affiliation:
Department of Internal Medicine, Stanford University Medical Center, Stanford, CA, USA.
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MeSH Terms
Descriptor/Qualifier:
Algorithms*
Body Size
Cause of Death*
Humans
Infant Mortality*
Infant, Newborn
Infant, Newborn, Diseases / mortality
Infant, Premature
Mental Recall
Nepal / epidemiology
Prevalence
Reproducibility of Results
Rural Health

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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