Amandine Barnett MNutr&Diet, PhD, Hannah L. Mayr PhD, Shelley E. Keating PhD, Marguerite M. Conley MNutr&Diet, Lindsey Webb BSc, Dev K. Jegatheesan MD, Heidi M. Staudacher PhD, Graeme A. Macdonald PhD, Jaimon T. Kelly PhD, Katrina L. Campbell PhD, Ingrid J. Hickman PhD
{"title":"在临床环境中使用数字食品记录：从随机对照试验中获得的经验。","authors":"Amandine Barnett MNutr&Diet, PhD, Hannah L. Mayr PhD, Shelley E. Keating PhD, Marguerite M. Conley MNutr&Diet, Lindsey Webb BSc, Dev K. Jegatheesan MD, Heidi M. Staudacher PhD, Graeme A. Macdonald PhD, Jaimon T. Kelly PhD, Katrina L. Campbell PhD, Ingrid J. Hickman PhD","doi":"10.1111/jhn.13389","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Background</h3>\n \n <p>Digital food records offer efficiencies in collecting and assessing dietary information remotely; however, research into factors impacting their translation into clinical settings is limited.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>The study examined factors that may impact the integration of digital food records into clinical dietetic practice by assessing (1) the source and rate of data errors received, (2) the impact of dietitian-adjusted data on dietary variables and (3) the acceptance of use in a complex chronic condition cohort. Adults from specialist clinics enroled in a randomised controlled feasibility trial participated. Participants recorded their dietary intake using a mobile food diary application (Research Food diary, Xyris Software Pty Ltd.); it was analysed via electronic nutrition analysis software (FoodWorks, Xyris Software Pty Ltd.). Records were verified and corrected by a dietitian. Dietary variables assessed before (participant-unadjusted data) and after (dietitian-adjusted data) were compared by the Wilcoxon signed-rank test, Bland–Altman and Passing–Bablok analysis. Surveys and Interviews assessed participants'; acceptance of the mobile application's usability.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>Errors appeared in 93% of records. Dietitian-adjusted median data were higher for most variables compared to participant-unadjusted median data (<i>p</i> < 0.05, median changes between 0.0% and 64.7%) of 59 participant records (median age 51 years, interquartile range 38–58). There was poor agreement between participant-unadjusted and dietitian-adjusted data for some dietary variables. Sixty-four percent surveyed (<i>n</i> = 32/50) found the app easy to use, whereas 29 interviews provided insights into facilitators and challenges of use.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>Significant barriers to integrating digital food records into clinical settings exist requiring dietitian adjustment to correct errors which has major implications for estimates of diet quality and intake.</p>\n </section>\n </div>","PeriodicalId":54803,"journal":{"name":"Journal of Human Nutrition and Dietetics","volume":"38 1","pages":""},"PeriodicalIF":2.9000,"publicationDate":"2024-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Use of digital food records in clinical settings: lessons in translation from a randomised controlled trial\",\"authors\":\"Amandine Barnett MNutr&Diet, PhD, Hannah L. Mayr PhD, Shelley E. Keating PhD, Marguerite M. Conley MNutr&Diet, Lindsey Webb BSc, Dev K. Jegatheesan MD, Heidi M. Staudacher PhD, Graeme A. Macdonald PhD, Jaimon T. Kelly PhD, Katrina L. Campbell PhD, Ingrid J. Hickman PhD\",\"doi\":\"10.1111/jhn.13389\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Background</h3>\\n \\n <p>Digital food records offer efficiencies in collecting and assessing dietary information remotely; however, research into factors impacting their translation into clinical settings is limited.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>The study examined factors that may impact the integration of digital food records into clinical dietetic practice by assessing (1) the source and rate of data errors received, (2) the impact of dietitian-adjusted data on dietary variables and (3) the acceptance of use in a complex chronic condition cohort. Adults from specialist clinics enroled in a randomised controlled feasibility trial participated. Participants recorded their dietary intake using a mobile food diary application (Research Food diary, Xyris Software Pty Ltd.); it was analysed via electronic nutrition analysis software (FoodWorks, Xyris Software Pty Ltd.). Records were verified and corrected by a dietitian. Dietary variables assessed before (participant-unadjusted data) and after (dietitian-adjusted data) were compared by the Wilcoxon signed-rank test, Bland–Altman and Passing–Bablok analysis. Surveys and Interviews assessed participants'; acceptance of the mobile application's usability.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>Errors appeared in 93% of records. Dietitian-adjusted median data were higher for most variables compared to participant-unadjusted median data (<i>p</i> < 0.05, median changes between 0.0% and 64.7%) of 59 participant records (median age 51 years, interquartile range 38–58). 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Use of digital food records in clinical settings: lessons in translation from a randomised controlled trial
Background
Digital food records offer efficiencies in collecting and assessing dietary information remotely; however, research into factors impacting their translation into clinical settings is limited.
Methods
The study examined factors that may impact the integration of digital food records into clinical dietetic practice by assessing (1) the source and rate of data errors received, (2) the impact of dietitian-adjusted data on dietary variables and (3) the acceptance of use in a complex chronic condition cohort. Adults from specialist clinics enroled in a randomised controlled feasibility trial participated. Participants recorded their dietary intake using a mobile food diary application (Research Food diary, Xyris Software Pty Ltd.); it was analysed via electronic nutrition analysis software (FoodWorks, Xyris Software Pty Ltd.). Records were verified and corrected by a dietitian. Dietary variables assessed before (participant-unadjusted data) and after (dietitian-adjusted data) were compared by the Wilcoxon signed-rank test, Bland–Altman and Passing–Bablok analysis. Surveys and Interviews assessed participants'; acceptance of the mobile application's usability.
Results
Errors appeared in 93% of records. Dietitian-adjusted median data were higher for most variables compared to participant-unadjusted median data (p < 0.05, median changes between 0.0% and 64.7%) of 59 participant records (median age 51 years, interquartile range 38–58). There was poor agreement between participant-unadjusted and dietitian-adjusted data for some dietary variables. Sixty-four percent surveyed (n = 32/50) found the app easy to use, whereas 29 interviews provided insights into facilitators and challenges of use.
Conclusions
Significant barriers to integrating digital food records into clinical settings exist requiring dietitian adjustment to correct errors which has major implications for estimates of diet quality and intake.
期刊介绍：
Journal of Human Nutrition and Dietetics is an international peer-reviewed journal publishing papers in applied nutrition and dietetics. Papers are therefore welcomed on:
- Clinical nutrition and the practice of therapeutic dietetics
- Clinical and professional guidelines
- Public health nutrition and nutritional epidemiology
- Dietary surveys and dietary assessment methodology
- Health promotion and intervention studies and their effectiveness
- Obesity, weight control and body composition
- Research on psychological determinants of healthy and unhealthy eating behaviour. Focus can for example be on attitudes, brain correlates of food reward processing, social influences, impulsivity, cognitive control, cognitive processes, dieting, psychological treatments.
- Appetite, Food intake and nutritional status
- Nutrigenomics and molecular nutrition
- The journal does not publish animal research
The journal is published in an online-only format. No printed issue of this title will be produced but authors will still be able to order offprints of their own articles.
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