Evaluation of the dietary intake data coding process in a clinical setting: Implications for research practice.

ABSTRACT:

Background

High quality dietary intake data is required to support evidence of diet-disease relationships exposed in clinical research. Source data verification may be a useful quality assurance method in this setting. The present pilot study aimed to apply source data verification to evaluate the quality of the data coding process for dietary intake in a clinical trial and to explore potential barriers to data quality in this setting.

Methods

Using a sample of 20 cases from a clinical trial, source data verification was conducted between three sets of data derived documents: transcripts of audio-recorded diet history interviews, matched paper-based diet history forms and outputs from nutrition analysis software. The number of cases and rates of discrepancies between documen

SUBMITTER: Guan VX 

PROVIDER: S-EPMC6690518 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature