Abstract
BackgroundQuality 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.MethodsQuality 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.ResultsData 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.ConclusionsQuality 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
Highlights
Quality assurance plays an important role in research by assuring data integrity, and valid study results
This paper will describe and share the results of a quality assurance (QA) process used in a multi-site childhood obesity prevalence study and
The purpose of this paper is to describe the QA process developed for detection of procedural and data errors for the Children’s Healthy Living (CHL) Program multisite trial in an underserved region [19]
Summary
Quality assurance plays an important role in research by assuring data integrity, and 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. This paper will describe and share the results of a quality assurance (QA) process used in a multi-site childhood obesity prevalence study and QA is one approach to ensure the validity of study results and preserve data integrity during the data collection process [2]. The first step to QA is developing a well-written, comprehensive and detailed procedure manual for Yamanaka et al BMC Res Notes (2016) 9:432 data collection [3]. The final step is to monitor and evaluate the process in the field and identify areas of improvement to strengthen the study’s protocol
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