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Inconsistency in Diarrhea Measurements when Assessing Intervention Impact in a Non-Blinded Cluster-Randomized Controlled Trial

To explore the consistency in impact evaluation based on reported diarrhea, we compared diarrhea data collected through two different surveys and with observed diarrhea-associated hospitalization for children aged ≤ 5 years from a non-blinded cluster-randomized trial conducted over 2 years in urban...

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Autores principales: Najnin, Nusrat, Leder, Karin, Forbes, Andrew, Unicomb, Leanne, Qadri, Firdausi, Ram, Pavani K., Winch, Peter J., Begum, Farzana, Biswas, Shwapon, Parvin, Tahmina, Yeasmin, Farzana, Cravioto, Alejandro, Luby, Stephen P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The American Society of Tropical Medicine and Hygiene 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6609177/
https://www.ncbi.nlm.nih.gov/pubmed/31162005
http://dx.doi.org/10.4269/ajtmh.18-0872
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author Najnin, Nusrat
Leder, Karin
Forbes, Andrew
Unicomb, Leanne
Qadri, Firdausi
Ram, Pavani K.
Winch, Peter J.
Begum, Farzana
Biswas, Shwapon
Parvin, Tahmina
Yeasmin, Farzana
Cravioto, Alejandro
Luby, Stephen P.
author_facet Najnin, Nusrat
Leder, Karin
Forbes, Andrew
Unicomb, Leanne
Qadri, Firdausi
Ram, Pavani K.
Winch, Peter J.
Begum, Farzana
Biswas, Shwapon
Parvin, Tahmina
Yeasmin, Farzana
Cravioto, Alejandro
Luby, Stephen P.
author_sort Najnin, Nusrat
collection PubMed
description To explore the consistency in impact evaluation based on reported diarrhea, we compared diarrhea data collected through two different surveys and with observed diarrhea-associated hospitalization for children aged ≤ 5 years from a non-blinded cluster-randomized trial conducted over 2 years in urban Dhaka. We have previously reported that the interventions did not reduce diarrhea-associated hospitalization for children aged ≤ 5 years in this trial. We randomly allocated 90 geographic clusters comprising > 60,000 low-income households into three groups: cholera vaccine only, vaccine plus behavior change (cholera vaccine and handwashing plus drinking water chlorination promotion), and control. We calculated reported diarrhea prevalence within the last 2 days using data collected from two different survey methods. The “census” data were collected from each household every 6 months for updating household demographic information. The “monthly survey” data were collected every month from a subset of randomly selected study households for monitoring the uptake of behavior change interventions. We used binomial regression with a logarithmic link accounting for clustering to compare diarrhea prevalence across intervention and control groups separately for both census and monthly survey data. No intervention impact was detected in the census (vaccine only versus control: 2.32% versus 2.53%; P = 0.49; vaccine plus behavior change versus control: 2.44% versus 2.53%; P = 0.78) or in the vaccine only versus control in the monthly survey (3.39% versus 3.80%; P = 0.69). However, diarrhea prevalence was lower in the vaccine-plus-behavior-change group than control in the monthly survey (2.08% versus 3.80%; P = 0.02). Although the reasons for different observed treatment effects in the census and monthly survey data in this study are unclear, these findings emphasize the importance of assessing objective outcomes along with reported outcomes from non-blinded trials.
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spelling pubmed-66091772019-07-19 Inconsistency in Diarrhea Measurements when Assessing Intervention Impact in a Non-Blinded Cluster-Randomized Controlled Trial Najnin, Nusrat Leder, Karin Forbes, Andrew Unicomb, Leanne Qadri, Firdausi Ram, Pavani K. Winch, Peter J. Begum, Farzana Biswas, Shwapon Parvin, Tahmina Yeasmin, Farzana Cravioto, Alejandro Luby, Stephen P. Am J Trop Med Hyg Articles To explore the consistency in impact evaluation based on reported diarrhea, we compared diarrhea data collected through two different surveys and with observed diarrhea-associated hospitalization for children aged ≤ 5 years from a non-blinded cluster-randomized trial conducted over 2 years in urban Dhaka. We have previously reported that the interventions did not reduce diarrhea-associated hospitalization for children aged ≤ 5 years in this trial. We randomly allocated 90 geographic clusters comprising > 60,000 low-income households into three groups: cholera vaccine only, vaccine plus behavior change (cholera vaccine and handwashing plus drinking water chlorination promotion), and control. We calculated reported diarrhea prevalence within the last 2 days using data collected from two different survey methods. The “census” data were collected from each household every 6 months for updating household demographic information. The “monthly survey” data were collected every month from a subset of randomly selected study households for monitoring the uptake of behavior change interventions. We used binomial regression with a logarithmic link accounting for clustering to compare diarrhea prevalence across intervention and control groups separately for both census and monthly survey data. No intervention impact was detected in the census (vaccine only versus control: 2.32% versus 2.53%; P = 0.49; vaccine plus behavior change versus control: 2.44% versus 2.53%; P = 0.78) or in the vaccine only versus control in the monthly survey (3.39% versus 3.80%; P = 0.69). However, diarrhea prevalence was lower in the vaccine-plus-behavior-change group than control in the monthly survey (2.08% versus 3.80%; P = 0.02). Although the reasons for different observed treatment effects in the census and monthly survey data in this study are unclear, these findings emphasize the importance of assessing objective outcomes along with reported outcomes from non-blinded trials. The American Society of Tropical Medicine and Hygiene 2019-07 2019-06-03 /pmc/articles/PMC6609177/ /pubmed/31162005 http://dx.doi.org/10.4269/ajtmh.18-0872 Text en © The American Society of Tropical Medicine and Hygiene This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Articles
Najnin, Nusrat
Leder, Karin
Forbes, Andrew
Unicomb, Leanne
Qadri, Firdausi
Ram, Pavani K.
Winch, Peter J.
Begum, Farzana
Biswas, Shwapon
Parvin, Tahmina
Yeasmin, Farzana
Cravioto, Alejandro
Luby, Stephen P.
Inconsistency in Diarrhea Measurements when Assessing Intervention Impact in a Non-Blinded Cluster-Randomized Controlled Trial
title Inconsistency in Diarrhea Measurements when Assessing Intervention Impact in a Non-Blinded Cluster-Randomized Controlled Trial
title_full Inconsistency in Diarrhea Measurements when Assessing Intervention Impact in a Non-Blinded Cluster-Randomized Controlled Trial
title_fullStr Inconsistency in Diarrhea Measurements when Assessing Intervention Impact in a Non-Blinded Cluster-Randomized Controlled Trial
title_full_unstemmed Inconsistency in Diarrhea Measurements when Assessing Intervention Impact in a Non-Blinded Cluster-Randomized Controlled Trial
title_short Inconsistency in Diarrhea Measurements when Assessing Intervention Impact in a Non-Blinded Cluster-Randomized Controlled Trial
title_sort inconsistency in diarrhea measurements when assessing intervention impact in a non-blinded cluster-randomized controlled trial
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6609177/
https://www.ncbi.nlm.nih.gov/pubmed/31162005
http://dx.doi.org/10.4269/ajtmh.18-0872
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