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Quality assurance of data collection in the multi-site community randomized trial and prevalence survey of the children’s healthy living program

BACKGROUND: Quality assurance plays an important role in research by assuring data integrity, and thus, valid study results. We aim to describe and share the results of the quality assurance process used to guide the data collection process in a multi-site childhood obesity prevalence study and inte...

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Autores principales: Yamanaka, Ashley, Fialkowski, Marie Kainoa, Wilkens, Lynne, Li, Fenfang, Ettienne, Reynolette, Fleming, Travis, Power, Julianne, Deenik, Jonathan, Coleman, Patricia, Leon Guerrero, Rachael, Novotny, Rachel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5009559/
https://www.ncbi.nlm.nih.gov/pubmed/27590179
http://dx.doi.org/10.1186/s13104-016-2212-2
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author Yamanaka, Ashley
Fialkowski, Marie Kainoa
Wilkens, Lynne
Li, Fenfang
Ettienne, Reynolette
Fleming, Travis
Power, Julianne
Deenik, Jonathan
Coleman, Patricia
Leon Guerrero, Rachael
Novotny, Rachel
author_facet Yamanaka, Ashley
Fialkowski, Marie Kainoa
Wilkens, Lynne
Li, Fenfang
Ettienne, Reynolette
Fleming, Travis
Power, Julianne
Deenik, Jonathan
Coleman, Patricia
Leon Guerrero, Rachael
Novotny, Rachel
author_sort Yamanaka, Ashley
collection PubMed
description BACKGROUND: Quality assurance plays an important role in research by assuring data integrity, and thus, valid study results. We aim to describe and share the results of the quality assurance process used to guide the data collection process in a multi-site childhood obesity prevalence study and intervention trial across the US Affiliated Pacific Region. METHODS: Quality assurance assessments following a standardized protocol were conducted by one assessor in every participating site. Results were summarized to examine and align the implementation of protocol procedures across diverse settings. RESULTS: Data collection protocols focused on food and physical activity were adhered to closely; however, protocols for handling completed forms and ensuring data security showed more variability. CONCLUSIONS: Quality assurance protocols are common in the clinical literature but are limited in multi-site community-based studies, especially in underserved populations. The reduction in the number of QA problems found in the second as compared to the first data collection periods for the intervention study attest to the value of this assessment. This paper can serve as a reference for similar studies wishing to implement quality assurance protocols of the data collection process to preserve data integrity and enhance the validity of study findings. Trial registration: NIH clinical trial #NCT01881373
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spelling pubmed-50095592016-09-03 Quality assurance of data collection in the multi-site community randomized trial and prevalence survey of the children’s healthy living program Yamanaka, Ashley Fialkowski, Marie Kainoa Wilkens, Lynne Li, Fenfang Ettienne, Reynolette Fleming, Travis Power, Julianne Deenik, Jonathan Coleman, Patricia Leon Guerrero, Rachael Novotny, Rachel BMC Res Notes Research Article BACKGROUND: Quality assurance plays an important role in research by assuring data integrity, and thus, valid study results. We aim to describe and share the results of the quality assurance process used to guide the data collection process in a multi-site childhood obesity prevalence study and intervention trial across the US Affiliated Pacific Region. METHODS: Quality assurance assessments following a standardized protocol were conducted by one assessor in every participating site. Results were summarized to examine and align the implementation of protocol procedures across diverse settings. RESULTS: Data collection protocols focused on food and physical activity were adhered to closely; however, protocols for handling completed forms and ensuring data security showed more variability. CONCLUSIONS: Quality assurance protocols are common in the clinical literature but are limited in multi-site community-based studies, especially in underserved populations. The reduction in the number of QA problems found in the second as compared to the first data collection periods for the intervention study attest to the value of this assessment. This paper can serve as a reference for similar studies wishing to implement quality assurance protocols of the data collection process to preserve data integrity and enhance the validity of study findings. Trial registration: NIH clinical trial #NCT01881373 BioMed Central 2016-09-02 /pmc/articles/PMC5009559/ /pubmed/27590179 http://dx.doi.org/10.1186/s13104-016-2212-2 Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Yamanaka, Ashley
Fialkowski, Marie Kainoa
Wilkens, Lynne
Li, Fenfang
Ettienne, Reynolette
Fleming, Travis
Power, Julianne
Deenik, Jonathan
Coleman, Patricia
Leon Guerrero, Rachael
Novotny, Rachel
Quality assurance of data collection in the multi-site community randomized trial and prevalence survey of the children’s healthy living program
title Quality assurance of data collection in the multi-site community randomized trial and prevalence survey of the children’s healthy living program
title_full Quality assurance of data collection in the multi-site community randomized trial and prevalence survey of the children’s healthy living program
title_fullStr Quality assurance of data collection in the multi-site community randomized trial and prevalence survey of the children’s healthy living program
title_full_unstemmed Quality assurance of data collection in the multi-site community randomized trial and prevalence survey of the children’s healthy living program
title_short Quality assurance of data collection in the multi-site community randomized trial and prevalence survey of the children’s healthy living program
title_sort quality assurance of data collection in the multi-site community randomized trial and prevalence survey of the children’s healthy living program
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5009559/
https://www.ncbi.nlm.nih.gov/pubmed/27590179
http://dx.doi.org/10.1186/s13104-016-2212-2
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