Epidemiological methods in diarrhoea studies—an update

Detalhes bibliográficos
Autor(a) principal: Schmidt, Wolf Peter
Data de Publicação: 2011
Outros Autores: Arnold, Benjamin F., Boisson, Sophie, Genser, Bernd, Luby, Stephen P., Barreto, Mauricio Lima, Clasen, Thomas, Cairncross, Sandy
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFBA
Texto Completo: http://repositorio.ufba.br/ri/handle/ri/14627
Resumo: Texto completo: acesso restrito. p. 1678-1692
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spelling Schmidt, Wolf PeterArnold, Benjamin F.Boisson, SophieGenser, BerndLuby, Stephen P.Barreto, Mauricio LimaClasen, ThomasCairncross, SandySchmidt, Wolf PeterArnold, Benjamin F.Boisson, SophieGenser, BerndLuby, Stephen P.Barreto, Mauricio LimaClasen, ThomasCairncross, Sandy2014-02-17T13:01:14Z20110300-5771http://repositorio.ufba.br/ri/handle/ri/14627v. 40, n. 6Texto completo: acesso restrito. p. 1678-1692Background Diarrhoea remains a leading cause of morbidity and mortality but is difficult to measure in epidemiological studies. Challenges include the diagnosis based on self-reported symptoms, the logistical burden of intensive surveillance and the variability of diarrhoea in space, time and person. Methods We review current practices in sampling procedures to measure diarrhoea, and provide guidance for diarrhoea measurement across a range of study goals. Using 14 available data sets, we estimated typical design effects for clustering at household and village/neighbourhood level, and measured the impact of adjusting for baseline variables on the precision of intervention effect estimates. Results Incidence is the preferred outcome measure in aetiological studies, health services research and vaccine trials. Repeated prevalence measurements (longitudinal prevalence) are appropriate in high-mortality settings where malnutrition is common, although many repeat measures are rarely useful. Period prevalence is an inadequate outcome if an intervention affects illness duration. Adjusting point estimates for age or diarrhoea at baseline in randomized trials has little effect on the precision of estimates. Design effects in trials randomized at household level are usually <2 (range 1.0–3.2). Design effects for larger clusters (e.g. villages or neighbourhoods) vary greatly among different settings and study designs (range 0.1–25.8). Conclusions Using appropriate sampling strategies and outcome measures can improve the efficiency, validity and comparability of diarrhoea studies. Allocating large clusters in cluster randomized trials is compromized by unpredictable design effects and should be carried out only if the research question requires it.Submitted by Edileide Reis (leyde-landy@hotmail.com) on 2014-02-17T13:01:14Z No. of bitstreams: 1 Wolf-Peter Schmidt.pdf: 210860 bytes, checksum: bb48f67b7a33ff32995020914c18e4d4 (MD5)Made available in DSpace on 2014-02-17T13:01:14Z (GMT). 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dc.title.pt_BR.fl_str_mv Epidemiological methods in diarrhoea studies—an update
dc.title.alternative.pt_BR.fl_str_mv International Journal of Epidemiology
title Epidemiological methods in diarrhoea studies—an update
spellingShingle Epidemiological methods in diarrhoea studies—an update
Schmidt, Wolf Peter
Diarrhoea
Cluster randomized trial
Sampling
Methods
title_short Epidemiological methods in diarrhoea studies—an update
title_full Epidemiological methods in diarrhoea studies—an update
title_fullStr Epidemiological methods in diarrhoea studies—an update
title_full_unstemmed Epidemiological methods in diarrhoea studies—an update
title_sort Epidemiological methods in diarrhoea studies—an update
author Schmidt, Wolf Peter
author_facet Schmidt, Wolf Peter
Arnold, Benjamin F.
Boisson, Sophie
Genser, Bernd
Luby, Stephen P.
Barreto, Mauricio Lima
Clasen, Thomas
Cairncross, Sandy
author_role author
author2 Arnold, Benjamin F.
Boisson, Sophie
Genser, Bernd
Luby, Stephen P.
Barreto, Mauricio Lima
Clasen, Thomas
Cairncross, Sandy
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Schmidt, Wolf Peter
Arnold, Benjamin F.
Boisson, Sophie
Genser, Bernd
Luby, Stephen P.
Barreto, Mauricio Lima
Clasen, Thomas
Cairncross, Sandy
Schmidt, Wolf Peter
Arnold, Benjamin F.
Boisson, Sophie
Genser, Bernd
Luby, Stephen P.
Barreto, Mauricio Lima
Clasen, Thomas
Cairncross, Sandy
dc.subject.por.fl_str_mv Diarrhoea
Cluster randomized trial
Sampling
Methods
topic Diarrhoea
Cluster randomized trial
Sampling
Methods
description Texto completo: acesso restrito. p. 1678-1692
publishDate 2011
dc.date.issued.fl_str_mv 2011
dc.date.accessioned.fl_str_mv 2014-02-17T13:01:14Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://repositorio.ufba.br/ri/handle/ri/14627
dc.identifier.issn.none.fl_str_mv 0300-5771
dc.identifier.number.pt_BR.fl_str_mv v. 40, n. 6
identifier_str_mv 0300-5771
v. 40, n. 6
url http://repositorio.ufba.br/ri/handle/ri/14627
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.pt_BR.fl_str_mv http://dx.doi.org/ 10.1093/ije/dyr152
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFBA
instname:Universidade Federal da Bahia (UFBA)
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collection Repositório Institucional da UFBA
bitstream.url.fl_str_mv https://repositorio.ufba.br/bitstream/ri/14627/1/Wolf-Peter%20Schmidt.pdf
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