Use of digital food records in clinical settings - lessons in translation from a randomised controlled trial

Author:

Barnett Amandine1,Mayr Hannah L2,Keating Shelley E3,Conley Marguerite M2,Webb Lindsey2,Jegatheesan Dev K4,Staudacher Heidi5,Macdonald Graeme A6,Kelly Jaimon1,Campbell Katrina L7,Hickman Ingrid J8

Affiliation:

1. Centre for Online Health, The University of Queensland

2. Department of Nutrition and Dietetics, Princess Alexandra Hospital

3. School of Human Movement and Nutrition Sciences, The University of Queensland

4. Department of Nephrology, Princess Alexandra Hospital

5. Food & Mood Centre, Institute for Mental and Physical Health and Clinical Translation, Deakin University

6. Department of Gastroenterology and Hepatology, Princess Alexandra Hospital

7. Healthcare Excellence and Innovation, Metro North Health

8. ULTRA team, The University of Queensland Clinical Trials Capability

Abstract

Abstract

Background Digital food records provide an efficient way to collect and assess dietary information remotely; however, there is limited research into factors which may impact their translation into clinical settings. Methods The study aimed to examine factors that may impact integration of a digital food record (mobile food diary app, electronically linked to a nutrition analysis software program) into clinical dietetic practice. This was achieved by assessing 1) the source and rate of data errors received (participant data entry or software) 2) the impact of dietitian-adjusted data on dietary variables; and 3) acceptance of use in a complex chronic disease cohort. Study participants were adults from specialist liver and kidney disease clinics who were enrolled in a randomised controlled feasibility trial. Participants recorded their dietary intake for three days using a mobile food diary app (Research Food diary, Xyris Software Pty Ltd) and this was analysed via desktop electronic nutrition analysis software (FoodWorks, Xyris Software Pty Ltd). Each participant’s digital food record was verified by a dietitian and errors were corrected. Dietary variables from digital food records before (participant-unadjusted data) and after (dietitian-adjusted data) were compared by non-parametric Wilcoxon signed ranks test, Bland Altman and Passing Balok analysis. Participant acceptance of using the mobile food diary app was assessed via online surveys and interviews. Results Errors appeared in 93% of the records. Dietitian-adjusted median data were higher for all macronutrients, five core food groups and other variables including energy and fibre intake than participant-unadjusted data (p < 0.05, median changes between 10–65%) of 59 participant records(median age 51 years, interquartile range 38–58). There was poor agreement between participant-unadjusted and dietitian-adjusted data for dietary variables including saturated fat, vegetables and added sugar intake. Sixty-four percent of participants who completed the survey (n = 32/50) found the app easy to use, while interviews with 29 participants provided insights into several technical challenges experienced. Conclusion Significant barriers to integrating digital food records into clinical practice exist related to errors that require dietitian adjustment to improve data quality for clinical decision making. Overall, there was variable acceptance towards the mobile food diary app. Trial registration: Australia and New Zealand Trials Registry ACTRN12620001282976. https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=378337

Publisher

Springer Science and Business Media LLC

Reference51 articles.

1. Cost-effectiveness of telehealth-delivered nutrition interventions: a systematic review of randomized controlled trials;Kelly JT;Nutr Rev,2023

2. Self-completed online dietary recalls as an alternative method of dietary assessment for dietetic outpatient appointments: A feasibility study;Gianfrancesco C;J Hum Nutr Diet,2023

3. Feasibility and validity of mobile phones to assess dietary intake;Sharp DB;Nutrition,2014

4. A Systematic Review and Meta-Analysis of Validation Studies Performed on Dietary Record Apps;Zhang L;Adv Nutr,2021

5. Review and evaluation of innovative technologies for measuring diet in nutritional epidemiology;Illner AK;Int J Epidemiol,2012

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3