Document Detail


Recall errors in a weekly survey of diarrhoea in Guatemala: determining the optimal length of recall.
MedLine Citation:
PMID:  19653923     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
We measured the recall error, optimal recall length and factors associated with diarrhoea in a weekly survey. Data was taken from a year-long randomized controlled trial in which characteristics of diarrhoeal episodes were recorded weekly. We labelled the recall period as days 1-6; day 1 being the day before the visit. Recall error was the percentage difference between the number of episodes reported to begin on a particular day and the mean for days 1 and 2. Generalized estimating equations were used to determine associations. Recall error was 37% on day 3 and 51% on day 5. The error was less in younger children (by 10%), severe episodes (by 29%) and when blood was present in the stool (by 18%). Diarrhoea was underreported when the recall period extended beyond 2 days. Surveys that use longer recall periods risk underestimating diarrhoea incidence and selectively capturing more severe episodes.
Authors:
S N Zafar; S P Luby; C Mendoza
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, P.H.S.     Date:  2009-08-05
Journal Detail:
Title:  Epidemiology and infection     Volume:  138     ISSN:  1469-4409     ISO Abbreviation:  Epidemiol. Infect.     Publication Date:  2010 Feb 
Date Detail:
Created Date:  2009-12-17     Completed Date:  2010-01-20     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8703737     Medline TA:  Epidemiol Infect     Country:  England    
Other Details:
Languages:  eng     Pagination:  264-9     Citation Subset:  IM    
Affiliation:
Aga Khan University, Karachi, Pakistan. zafar.nabeel@gmail.com
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MeSH Terms
Descriptor/Qualifier:
Child, Preschool
Diarrhea / epidemiology*
Female
Guatemala / epidemiology
Humans
Infant
Male
Mental Recall*
Mothers / education,  psychology*
Questionnaires / standards

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


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