Evaluation of the dietary intake data coding process in a clinical setting: Implications for research practice
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 t...
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| Abstract | 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.
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 documents were calculated. A total of five in-depth interviews with dietitians collecting and coding dietary data were thematically analysed.
Some 2024 discrepancies were identified. The highest discrepancy rate was 57.49%, and occurred between diet history interviews and nutrition analysis software outputs. Sources of the discrepancies included both quantities and frequencies of food intake. The highest discrepancy rate was for the food group "vegetable products and dishes". In-depth interviews implicated recall bias of trial participants as a cause of discrepancies, but dietitians also acknowledged a possible subconscious influence of having to code reported foods into nutrition analysis software programs.
The accuracy of dietary intake data appeared to depend on the level of detailed food data required. More support for participants on reporting consumption, and incorporating supportive tools to guide estimates of food quantities may facilitate a more consistent coding process and improve data quality. This pilot study offers a novel method and an overview of dietary intake data coding measurement errors. These findings may warrant further investigation in a larger sample. |
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| AbstractList | 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. 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 documents were calculated. A total of five in-depth interviews with dietitians collecting and coding dietary data were thematically analysed. Some 2024 discrepancies were identified. The highest discrepancy rate was 57.49%, and occurred between diet history interviews and nutrition analysis software outputs. Sources of the discrepancies included both quantities and frequencies of food intake. The highest discrepancy rate was for the food group "vegetable products and dishes". In-depth interviews implicated recall bias of trial participants as a cause of discrepancies, but dietitians also acknowledged a possible subconscious influence of having to code reported foods into nutrition analysis software programs. The accuracy of dietary intake data appeared to depend on the level of detailed food data required. More support for participants on reporting consumption, and incorporating supportive tools to guide estimates of food quantities may facilitate a more consistent coding process and improve data quality. This pilot study offers a novel method and an overview of dietary intake data coding measurement errors. These findings may warrant further investigation in a larger sample. BackgroundHigh 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.MethodsUsing 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 documents were calculated. A total of five in-depth interviews with dietitians collecting and coding dietary data were thematically analysed.ResultsSome 2024 discrepancies were identified. The highest discrepancy rate was 57.49%, and occurred between diet history interviews and nutrition analysis software outputs. Sources of the discrepancies included both quantities and frequencies of food intake. The highest discrepancy rate was for the food group "vegetable products and dishes". In-depth interviews implicated recall bias of trial participants as a cause of discrepancies, but dietitians also acknowledged a possible subconscious influence of having to code reported foods into nutrition analysis software programs.ConclusionThe accuracy of dietary intake data appeared to depend on the level of detailed food data required. More support for participants on reporting consumption, and incorporating supportive tools to guide estimates of food quantities may facilitate a more consistent coding process and improve data quality. This pilot study offers a novel method and an overview of dietary intake data coding measurement errors. These findings may warrant further investigation in a larger sample. 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 documents were calculated. A total of five in-depth interviews with dietitians collecting and coding dietary data were thematically analysed. Results Some 2024 discrepancies were identified. The highest discrepancy rate was 57.49%, and occurred between diet history interviews and nutrition analysis software outputs. Sources of the discrepancies included both quantities and frequencies of food intake. The highest discrepancy rate was for the food group “vegetable products and dishes”. In-depth interviews implicated recall bias of trial participants as a cause of discrepancies, but dietitians also acknowledged a possible subconscious influence of having to code reported foods into nutrition analysis software programs. Conclusion The accuracy of dietary intake data appeared to depend on the level of detailed food data required. More support for participants on reporting consumption, and incorporating supportive tools to guide estimates of food quantities may facilitate a more consistent coding process and improve data quality. This pilot study offers a novel method and an overview of dietary intake data coding measurement errors. These findings may warrant further investigation in a larger sample. 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 documents were calculated. A total of five in-depth interviews with dietitians collecting and coding dietary data were thematically analysed. Results Some 2024 discrepancies were identified. The highest discrepancy rate was 57.49%, and occurred between diet history interviews and nutrition analysis software outputs. Sources of the discrepancies included both quantities and frequencies of food intake. The highest discrepancy rate was for the food group "vegetable products and dishes". In-depth interviews implicated recall bias of trial participants as a cause of discrepancies, but dietitians also acknowledged a possible subconscious influence of having to code reported foods into nutrition analysis software programs. Conclusion The accuracy of dietary intake data appeared to depend on the level of detailed food data required. More support for participants on reporting consumption, and incorporating supportive tools to guide estimates of food quantities may facilitate a more consistent coding process and improve data quality. This pilot study offers a novel method and an overview of dietary intake data coding measurement errors. These findings may warrant further investigation in a larger sample. 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. 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 documents were calculated. A total of five in-depth interviews with dietitians collecting and coding dietary data were thematically analysed. Some 2024 discrepancies were identified. The highest discrepancy rate was 57.49%, and occurred between diet history interviews and nutrition analysis software outputs. Sources of the discrepancies included both quantities and frequencies of food intake. The highest discrepancy rate was for the food group "vegetable products and dishes". In-depth interviews implicated recall bias of trial participants as a cause of discrepancies, but dietitians also acknowledged a possible subconscious influence of having to code reported foods into nutrition analysis software programs. The accuracy of dietary intake data appeared to depend on the level of detailed food data required. More support for participants on reporting consumption, and incorporating supportive tools to guide estimates of food quantities may facilitate a more consistent coding process and improve data quality. This pilot study offers a novel method and an overview of dietary intake data coding measurement errors. These findings may warrant further investigation in a larger sample. 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.BACKGROUNDHigh 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.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 documents were calculated. A total of five in-depth interviews with dietitians collecting and coding dietary data were thematically analysed.METHODSUsing 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 documents were calculated. A total of five in-depth interviews with dietitians collecting and coding dietary data were thematically analysed.Some 2024 discrepancies were identified. The highest discrepancy rate was 57.49%, and occurred between diet history interviews and nutrition analysis software outputs. Sources of the discrepancies included both quantities and frequencies of food intake. The highest discrepancy rate was for the food group "vegetable products and dishes". In-depth interviews implicated recall bias of trial participants as a cause of discrepancies, but dietitians also acknowledged a possible subconscious influence of having to code reported foods into nutrition analysis software programs.RESULTSSome 2024 discrepancies were identified. The highest discrepancy rate was 57.49%, and occurred between diet history interviews and nutrition analysis software outputs. Sources of the discrepancies included both quantities and frequencies of food intake. The highest discrepancy rate was for the food group "vegetable products and dishes". In-depth interviews implicated recall bias of trial participants as a cause of discrepancies, but dietitians also acknowledged a possible subconscious influence of having to code reported foods into nutrition analysis software programs.The accuracy of dietary intake data appeared to depend on the level of detailed food data required. More support for participants on reporting consumption, and incorporating supportive tools to guide estimates of food quantities may facilitate a more consistent coding process and improve data quality. This pilot study offers a novel method and an overview of dietary intake data coding measurement errors. These findings may warrant further investigation in a larger sample.CONCLUSIONThe accuracy of dietary intake data appeared to depend on the level of detailed food data required. More support for participants on reporting consumption, and incorporating supportive tools to guide estimates of food quantities may facilitate a more consistent coding process and improve data quality. This pilot study offers a novel method and an overview of dietary intake data coding measurement errors. These findings may warrant further investigation in a larger sample. |
| Audience | Academic |
| Author | Guan, Vivienne X. Probst, Yasmine C. Neale, Elizabeth P. Tapsell, Linda C. |
| AuthorAffiliation | 1 School of Medicine, Faculty of Science, Medicine and Health, University of Wollongong, Wollongong, New South Wales, Australia 2 Illawarra Health and Medical Research Institute, University of Wollongong, Wollongong, New South Wales, Australia Tabriz University of Medical Sciences, ISLAMIC REPUBLIC OF IRAN |
| AuthorAffiliation_xml | – name: Tabriz University of Medical Sciences, ISLAMIC REPUBLIC OF IRAN – name: 2 Illawarra Health and Medical Research Institute, University of Wollongong, Wollongong, New South Wales, Australia – name: 1 School of Medicine, Faculty of Science, Medicine and Health, University of Wollongong, Wollongong, New South Wales, Australia |
| Author_xml | – sequence: 1 givenname: Vivienne X. orcidid: 0000-0002-3162-1788 surname: Guan fullname: Guan, Vivienne X. – sequence: 2 givenname: Yasmine C. surname: Probst fullname: Probst, Yasmine C. – sequence: 3 givenname: Elizabeth P. surname: Neale fullname: Neale, Elizabeth P. – sequence: 4 givenname: Linda C. surname: Tapsell fullname: Tapsell, Linda C. |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/31404088$$D View this record in MEDLINE/PubMed |
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| CitedBy_id | crossref_primary_10_1111_aphw_12225 crossref_primary_10_1186_s12937_022_00763_3 crossref_primary_10_3390_nu14040830 crossref_primary_10_2196_46839 crossref_primary_10_3390_nu14214568 crossref_primary_10_3390_nu12041167 crossref_primary_10_3390_nu13103388 crossref_primary_10_1371_journal_pone_0279567 crossref_primary_10_3389_fnut_2020_00149 crossref_primary_10_5534_wjmh_240311 |
| Cites_doi | 10.3945/jn.115.219634 10.3102/0013189X033007014 10.1016/j.nut.2013.03.016 10.1016/S1047-2797(00)00173-3 10.1123/ijsnem.13.2.152 10.1016/j.jand.2016.08.007 10.1136/bmjopen-2016-014533 10.1016/S0002-8223(21)43949-0 10.1136/bmjopen-2016-012927 10.1038/sj.ejcn.1601107 10.1016/j.jfca.2009.01.011 10.1016/j.jfca.2008.10.004 10.1079/BJN19940069 10.3390/ijerph110505170 10.1038/ejcn.2015.224 10.1038/sj.jhh.1001604 10.1016/S0091-7435(02)00054-3 10.1093/aje/kwu325 10.1016/0197-2456(92)90021-Q 10.1177/009286151004400611 10.1016/j.jfca.2009.02.003 10.1111/bcp.12531 10.1111/pan.12198 10.1111/1475-6773.10482 10.1079/BJN20041095 10.1111/j.1747-0080.2010.01476.x 10.1016/S0002-8223(00)00237-6 10.1038/sj.ijo.0803527 10.3945/an.115.011718 10.1016/S0002-8223(97)00074-6 10.1093/aje/kwu116 10.1186/1475-2891-1-3 10.1056/NEJMe1601510 10.1080/10408398.2013.816653 10.1016/S0002-8223(00)00343-6 10.1177/2168479014554400 10.1542/peds.103.4.711 10.1093/aje/kwq216 10.1177/009286159903300319 10.1016/j.jfca.2007.04.009 10.3945/jn.113.189407 10.1079/BJN19960007 10.1016/j.cct.2015.10.008 10.1016/j.jfca.2017.07.010 |
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| References | N Slimani (ref6) 2015 JE Hilner (ref17) 1992; 13 C Greenberg (ref18) 2009; 22 J Ritchie (ref40) 1994 R Mangione-Smith (ref31) 2002; 37 H Chen (ref27) 2014; 11 GS Martin (ref35) 2003; 36 RB Johnson (ref28) 2004; 33 R Mangione-Smith (ref30) 1999; 103 M Faber (ref51) 2013; 29 Y Probst (ref47) 2010; 67 AF Subar (ref5) 2015; 145 J Reedy (ref1) 2014; 144 LS Freedman (ref3) 2014; 180 AJ Braakhuis (ref12) 2003; 13 ref42 Y Probst (ref10) 2007; 20 M Stelmach-Mardas (ref49) 2016; 70 BS Burke (ref43) 1947; 23 JR Hébert (ref52) 2016; 116 M Nelson (ref46) 1996; 76 L Lissner (ref55) 2007; 31 S Burden (ref14) 2009; 22 (ref37) 2010 TP Zimmerman (ref13) 2009; 22 LC Tapsell (ref36) 2000; 100 J O’Shea (ref50) 2018 N Sheetz (ref25) 2014; 48 FE Thompson (ref7) 2013 YS Cypel (ref48) 1997; 97 AF Smith (ref44) 1993; 47 N Slimani (ref9) 2000; 54 LS Freedman (ref2) 2015; 181 Y Probst (ref8) 2016; 56 T Copeland (ref16) 2000; 100 SI Kirkpatrick (ref29) 2014 A Strauss (ref41) 1990 E Wirfält (ref11) 2002; 1 ML Schuyl (ref22) 1999; 33 R Conway (ref19) 2004; 91 ref21 MA Espeland (ref53) 2001; 11 LC Tapsell (ref34) 2017; 7 V Tantsyura (ref26) 2010; 44 L Natarajan (ref54) 2010; 172 R Gibson (ref20) 2017; 7 V Guan (ref39) 2017; 64 LC Tapsell (ref4) 2016; 7 V Guan (ref38) 2016 JR Andersen (ref23) 2015; 79 LC Tapsell (ref33) 2015; 45 M Nelson (ref45) 1994; 72 J Woodcock (ref24) 2016; 374 SE Rampersad (ref32) 2013; 23 B Dennis (ref15) 2003; 17 |
| References_xml | – year: 2018 ident: ref50 article-title: Translating advice to eat more vegetables into practice: observations from a 12-month weight loss trial publication-title: European Journal of Clinical Nutrition – year: 1990 ident: ref41 article-title: Basics of qualitative research – volume: 145 start-page: 2639 issue: 12 year: 2015 ident: ref5 article-title: Addressing Current Criticism Regarding the Value of Self-Report Dietary Data publication-title: The Journal of Nutrition doi: 10.3945/jn.115.219634 – volume: 33 start-page: 14 issue: 7 year: 2004 ident: ref28 article-title: Mixed Methods Research: A Research Paradigm Whose Time Has Come publication-title: Educational Researcher doi: 10.3102/0013189X033007014 – volume: 29 start-page: 1286 issue: 11–12 year: 2013 ident: ref51 article-title: Presentation and interpretation of food intake data: Factors affecting comparability across studies publication-title: Nutrition doi: 10.1016/j.nut.2013.03.016 – volume: 11 start-page: 85 issue: 2 year: 2001 ident: ref53 article-title: Lifestyle Interventions Influence Relative Errors in Self-Reported Diet Intake of Sodium and Potassium publication-title: Annals of Epidemiology doi: 10.1016/S1047-2797(00)00173-3 – volume: 13 start-page: 152 issue: 2 year: 2003 ident: ref12 article-title: Variability in estimation of self-reported dietary intake data from elite athletes resulting from coding by different sports dietitians publication-title: International Journal of Sport Nutrition and Exercise Metabolism doi: 10.1123/ijsnem.13.2.152 – volume: 116 start-page: 1895 issue: 12 year: 2016 ident: ref52 article-title: Social Desirability Trait: Biaser or Driver of Self-Reported Dietary Intake? publication-title: Journal of the Academy of Nutrition and Dietetics doi: 10.1016/j.jand.2016.08.007 – year: 2014 ident: ref29 article-title: Performance of the Automated Self-Administered 24-hour Recall relative to a measure of true intakes and to an interviewer-administered 24-h recall publication-title: The American Journal of Clinical Nutrition – start-page: 34 year: 2016 ident: ref38 article-title: Development of an at-risk assessment approach to dietary data quality in a food-based clinical trial publication-title: Studies in Health Technology and Informatics – volume: 7 issue: 7 year: 2017 ident: ref34 article-title: Effect of interdisciplinary care on weight loss: a randomised controlled trial publication-title: BMJ Open doi: 10.1136/bmjopen-2016-014533 – volume: 23 start-page: 1041 year: 1947 ident: ref43 article-title: The dietary history as a tool in research publication-title: Journal of the American Dietetic Association doi: 10.1016/S0002-8223(21)43949-0 – volume: 7 issue: 4 year: 2017 ident: ref20 article-title: Dietary assessment of British police force employees: a description of diet record coding procedures and cross-sectional evaluation of dietary energy intake reporting (The Airwave Health Monitoring Study) publication-title: BMJ Open doi: 10.1136/bmjopen-2016-012927 – volume: 54 start-page: 900 issue: 12 year: 2000 ident: ref9 article-title: Standardization of the 24-hour diet recall calibration method used in the European Prospective Investigation into Cancer and Nutrition (EPIC): General concepts and preliminary results publication-title: European Journal of Clinical Nutrition doi: 10.1038/sj.ejcn.1601107 – volume: 22 start-page: S88 issue: Supplement year: 2009 ident: ref18 article-title: Quality control of nutrient data entry for a long-term, multi-centre dietary intervention trial publication-title: Journal of Food Composition and Analysis doi: 10.1016/j.jfca.2009.01.011 – volume: 22 start-page: 130 issue: 2 year: 2009 ident: ref14 article-title: Identification of food groups for use in a self-administered, computer-assisted diet history interview for use in Australia publication-title: Journal of Food Composition and Analysis doi: 10.1016/j.jfca.2008.10.004 – year: 1994 ident: ref40 article-title: Analysing qualitative data – volume: 72 start-page: 649 issue: 5 year: 1994 ident: ref45 article-title: Food photography. I: The perception of food portion size from photographs publication-title: British Journal of Nutrition doi: 10.1079/BJN19940069 – volume: 11 start-page: 5170 issue: 5 year: 2014 ident: ref27 article-title: A review of data quality assessment methods for public health information systems publication-title: International Journal of Environmental Research and Public Health doi: 10.3390/ijerph110505170 – volume: 70 start-page: 700 issue: 6 year: 2016 ident: ref49 article-title: Seasonality of food groups and total energy intake: a systematic review and meta-analysis publication-title: European Journal of Clinical Nutrition doi: 10.1038/ejcn.2015.224 – volume: 17 start-page: 609 issue: 9 year: 2003 ident: ref15 article-title: INTERMAP: the dietary data—process and quality control publication-title: Journal of Human Hypertension doi: 10.1038/sj.jhh.1001604 – volume: 36 start-page: 420 issue: 4 year: 2003 ident: ref35 article-title: Relative validity of a diet history interview in an intervention trial manipulating dietary fat in the management of Type II diabetes mellitus publication-title: Preventive Medicine doi: 10.1016/S0091-7435(02)00054-3 – volume: 181 start-page: 473 issue: 7 year: 2015 ident: ref2 article-title: Pooled Results From 5 Validation Studies of Dietary Self-Report Instruments Using Recovery Biomarkers for Potassium and Sodium Intake publication-title: American Journal of Epidemiology doi: 10.1093/aje/kwu325 – volume: 13 start-page: 156 issue: 2 year: 1992 ident: ref17 article-title: Quality control of dietary data collection in the CARDIA study publication-title: Controlled Clinical Trials doi: 10.1016/0197-2456(92)90021-Q – volume: 44 start-page: 745 issue: 6 year: 2010 ident: ref26 article-title: Risk-Based Source Data Verification Approaches: Pros and Cons publication-title: Drug Information Journal doi: 10.1177/009286151004400611 – volume: 22 start-page: S48 year: 2009 ident: ref13 article-title: Challenges in converting an interviewer-administered food probe database to self-administration in the National Cancer Institute automated self-administered 24-hour recall (ASA24) publication-title: Journal of Food Composition and Analysis doi: 10.1016/j.jfca.2009.02.003 – volume: 79 start-page: 660 issue: 4 year: 2015 ident: ref23 article-title: Impact of source data verification on data quality in clinical trials: an empirical post hoc analysis of three phase 3 randomized clinical trials publication-title: British Journal of Clinical Pharmacology doi: 10.1111/bcp.12531 – volume: 23 start-page: 627 issue: 7 year: 2013 ident: ref32 article-title: Video observation of anesthesia practice: A useful and reliable tool for quality improvement initiatives publication-title: Paediatric Anaesthesia doi: 10.1111/pan.12198 – volume: 37 start-page: 1603 issue: 6 year: 2002 ident: ref31 article-title: An Observational Study of Antibiotic Prescribing Behavior and the Hawthorne Effect publication-title: Health Services Research doi: 10.1111/1475-6773.10482 – volume: 91 start-page: 765 issue: 5 year: 2004 ident: ref19 article-title: Standardised coding of diet records: experiences from INTERMAP UK publication-title: British Journal of Nutrition doi: 10.1079/BJN20041095 – volume: 67 start-page: 275 issue: 4 year: 2010 ident: ref47 article-title: Development of Australian portion size photographs to enhance self-administered online dietary assessments for adults publication-title: Nutrition & Dietetics doi: 10.1111/j.1747-0080.2010.01476.x – volume: 100 start-page: 818 issue: 7 year: 2000 ident: ref36 article-title: Applying Conversation Analysis to Foster Accurate Reporting in the Diet History Interview publication-title: Journal of the American Dietetic Association doi: 10.1016/S0002-8223(00)00237-6 – volume: 31 start-page: 956 issue: 6 year: 2007 ident: ref55 article-title: OPEN about obesity: Recovery biomarkers, dietary reporting errors and BMI publication-title: International Journal of Obesity doi: 10.1038/sj.ijo.0803527 – volume: 7 start-page: 445 issue: 3 year: 2016 ident: ref4 article-title: Foods, Nutrients, and Dietary Patterns: Interconnections and Implications for Dietary Guidelines publication-title: Advances in Nutrition: An International Review Journal doi: 10.3945/an.115.011718 – year: 2010 ident: ref37 article-title: AUSNUT 2007 – volume: 97 start-page: 289 issue: 3 year: 1997 ident: ref48 article-title: Validity of Portion-Size Measurement Aids publication-title: Journal of the American Dietetic Association doi: 10.1016/S0002-8223(97)00074-6 – volume: 180 start-page: 172 issue: 2 year: 2014 ident: ref3 article-title: Pooled Results From 5 Validation Studies of Dietary Self-Report Instruments Using Recovery Biomarkers for Energy and Protein Intake publication-title: American Journal of Epidemiology doi: 10.1093/aje/kwu116 – volume: 1 start-page: 1 year: 2002 ident: ref11 article-title: A methodological report from the Malmö Diet and Cancer study:Development and evaluation of altered routines in dietary data processing publication-title: Nutrition Journal doi: 10.1186/1475-2891-1-3 – volume: 374 start-page: 2167 issue: 22 year: 2016 ident: ref24 article-title: Clinical Trials Series publication-title: New England Journal of Medicine doi: 10.1056/NEJMe1601510 – start-page: 5 year: 2013 ident: ref7 article-title: Nutrition in the Prevention and Treatment of Disease – volume: 56 start-page: 2069 issue: 12 year: 2016 ident: ref8 article-title: Predictors for Reporting of Dietary Assessment Methods in Food-based Randomized Controlled Trials over a Ten-year Period publication-title: Critical Reviews in Food Science and Nutrition doi: 10.1080/10408398.2013.816653 – volume: 100 start-page: 1186 issue: 10 year: 2000 ident: ref16 article-title: Designing a quality assurance system for dietary data in a multicenter clinical trial: Women’s Intervention Nutrition Study publication-title: American Dietetic Association Journal of the American Dietetic Association doi: 10.1016/S0002-8223(00)00343-6 – volume: 48 start-page: 671 issue: 6 year: 2014 ident: ref25 article-title: Evaluating Source Data Verification as a Quality Control Measure in Clinical Trials publication-title: Therapeutic Innovation and Regulatory Science doi: 10.1177/2168479014554400 – volume: 103 start-page: 711 issue: 4 year: 1999 ident: ref30 article-title: The Relationship Between Perceived Parental Expectations and Pediatrician Antimicrobial Prescribing Behavior publication-title: Pediatrics doi: 10.1542/peds.103.4.711 – ident: ref42 – ident: ref21 – volume: 172 start-page: 819 issue: 7 year: 2010 ident: ref54 article-title: Measurement Error of Dietary Self-Report in Intervention Trials publication-title: American Journal of Epidemiology doi: 10.1093/aje/kwq216 – volume: 33 start-page: 789 issue: 3 year: 1999 ident: ref22 article-title: A Review of the Source Document Verification Process in Clinical Trials publication-title: Drug Information Journal doi: 10.1177/009286159903300319 – volume: 20 start-page: 696 issue: 8 year: 2007 ident: ref10 article-title: What to ask in a self-administered dietary assessment website: The role of professional judgement publication-title: Journal of Food Composition and Analysis doi: 10.1016/j.jfca.2007.04.009 – volume: 144 start-page: 881 issue: 6 year: 2014 ident: ref1 article-title: Higher Diet Quality Is Associated with Decreased Risk of All-Cause, Cardiovascular Disease, and Cancer Mortality among Older Adults publication-title: The Journal of Nutrition doi: 10.3945/jn.113.189407 – volume: 76 start-page: 31 issue: 1 year: 1996 ident: ref46 article-title: Food photography II: use of food photographs for estimating portion size and the nutrient content of meals publication-title: British Journal of Nutrition doi: 10.1079/BJN19960007 – volume: 45 start-page: 394 issue: Part B year: 2015 ident: ref33 article-title: Interdisciplinary lifestyle intervention for weight management in a community population (HealthTrack study): Study design and baseline sample characteristics publication-title: Contemporary Clinical Trials doi: 10.1016/j.cct.2015.10.008 – volume: 64 start-page: 27 year: 2017 ident: ref39 article-title: A systematic method to evaluate the dietary intake data coding process used in the research setting publication-title: Journal of Food Composition and Analysis doi: 10.1016/j.jfca.2017.07.010 – volume: 47 start-page: S6 issue: Suppl 2 year: 1993 ident: ref44 article-title: Cognitive psychological issues of relevance to the validity of dietary reports publication-title: European Journal of Clinical Nutrition – start-page: 48 year: 2015 ident: ref6 article-title: Nutrition Research Methodologies |
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| Title | Evaluation of the dietary intake data coding process in a clinical setting: Implications for research practice |
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