POSTER COMMUNICATIONS Rev Esp Nutr Hum Diet. 2016; 20(Suppl. 1): 413 - 420 413 17th International Congress of Dietetics Fundación Española www. de Dietistas-Nutricionistas renhyd.org POSTER COMMUNICATIONS APPLIED DIETETICS P-001: DEVELOPING A METHODOLOGICAL FRAMEWORK FOR ASSESSING DIETARY DATA QUALITY IN A HEALTHY LIFESTYLE CLINICAL TRIAL Vivienne Guan1,*, Yasmine Probst1, Elizabeth Neale1, Allison Humphries2, Linda Tapsell1 1School of Medicine, Faculty of Science, Medicine and Health, University of Wollongong, Australia. 2Illawarra Health and Medical Research Institute, Faculty of Science, Medicine and Health, University of Wollongong, Australia. * Contact:
[email protected] Introduction: Accurate and valid dietary intake data is the basis for investigating diet-disease relationships. Potential data discrepancies can be introduced both when collecting and analysing data despite rigorous quality assurance protocols. The aim of this pilot study was to develop a framework for assessing dietary data quality (DQ) in a healthy lifestyle clinical trial. Methods: A 1% random sample (n=4) of paper-based diet history records from participants (n=377) in a registered clinical trial was extracted as a pilot audit. All items listed on the source data underwent a 100% manual verification check with the food output analysis data from FoodWorks software. The observed discrepancies between input and output data relating to intake of food items, quantity and frequency were recorded. Discrepancies involving mixed-dish analyses were also assessed using the basic recipe information and yield factors. DQ assessment and management frameworks, and spreadsheet error classifications from the Information Sciences literature were adapted and simplified to propose a “fit-for-use” coding scheme and process model based on the observed discrepancy incidences related to intake of food items, quantity and frequency.