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Implementing a novel electronic health record approach to track child sugar-sweetened beverage consumption

Sugar-sweetened beverage (SSB) consumption is a risk factor for childhood obesity. Including this measure in electronic health records (EHR) could enhance clinical care and facilitate research on this topic. We implemented a single-item, EHR screening question for SSB and 100% fruit juice at 8 pedia...

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Autores principales: Lewis, Kristina H., Skelton, Joseph A., Hsu, Fang-Chi, Ezouah, Pascaline, Taveras, Elsie M., Block, Jason P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6031146/
https://www.ncbi.nlm.nih.gov/pubmed/29988772
http://dx.doi.org/10.1016/j.pmedr.2018.06.007
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author Lewis, Kristina H.
Skelton, Joseph A.
Hsu, Fang-Chi
Ezouah, Pascaline
Taveras, Elsie M.
Block, Jason P.
author_facet Lewis, Kristina H.
Skelton, Joseph A.
Hsu, Fang-Chi
Ezouah, Pascaline
Taveras, Elsie M.
Block, Jason P.
author_sort Lewis, Kristina H.
collection PubMed
description Sugar-sweetened beverage (SSB) consumption is a risk factor for childhood obesity. Including this measure in electronic health records (EHR) could enhance clinical care and facilitate research on this topic. We implemented a single-item, EHR screening question for SSB and 100% fruit juice at 8 pediatric practices affiliated with a North Carolina academic medical center. From March–December 2017, we evaluated SSB screening of children 6 months–17 years of age. In a sub-sample of screened patients, we also conducted a telephone-based validation survey, comparing EHR-based responses to a lengthier beverage questionnaire, using Spearman rank coefficients and Kappa statistic. 22,626 children (91% of all seen) were screened for SSB intake. The screened population was diverse – 35% non-Hispanic White, 26% African-American, and 30% Hispanic. Consistent with national estimates, reported intake was typically higher than recommended: 41% (n = 9220) reported consuming SSB or fruit juice >1×/day in the past month, and consumption was higher among race/ethnic minorities. Of 201 validation survey respondents, direct correlation between their beverage survey and EHR screener responses was moderate, with a Spearman's rank correlation coefficient of 0.41 (p < 0.001) and Kappa statistic of 0.42 (95% CI 0.24–0.60). EHR-based screening for SSBs and fruit juice was successfully implemented, generating a large volume of SSB consumption data in a diverse patient population. Inclusion of patient-reported dietary measures in the EHR is feasible and could be useful for clinical care and research. Planned modifications may improve the correlation of such a screener with lengthier dietary instruments.
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spelling pubmed-60311462018-07-09 Implementing a novel electronic health record approach to track child sugar-sweetened beverage consumption Lewis, Kristina H. Skelton, Joseph A. Hsu, Fang-Chi Ezouah, Pascaline Taveras, Elsie M. Block, Jason P. Prev Med Rep Regular Article Sugar-sweetened beverage (SSB) consumption is a risk factor for childhood obesity. Including this measure in electronic health records (EHR) could enhance clinical care and facilitate research on this topic. We implemented a single-item, EHR screening question for SSB and 100% fruit juice at 8 pediatric practices affiliated with a North Carolina academic medical center. From March–December 2017, we evaluated SSB screening of children 6 months–17 years of age. In a sub-sample of screened patients, we also conducted a telephone-based validation survey, comparing EHR-based responses to a lengthier beverage questionnaire, using Spearman rank coefficients and Kappa statistic. 22,626 children (91% of all seen) were screened for SSB intake. The screened population was diverse – 35% non-Hispanic White, 26% African-American, and 30% Hispanic. Consistent with national estimates, reported intake was typically higher than recommended: 41% (n = 9220) reported consuming SSB or fruit juice >1×/day in the past month, and consumption was higher among race/ethnic minorities. Of 201 validation survey respondents, direct correlation between their beverage survey and EHR screener responses was moderate, with a Spearman's rank correlation coefficient of 0.41 (p < 0.001) and Kappa statistic of 0.42 (95% CI 0.24–0.60). EHR-based screening for SSBs and fruit juice was successfully implemented, generating a large volume of SSB consumption data in a diverse patient population. Inclusion of patient-reported dietary measures in the EHR is feasible and could be useful for clinical care and research. Planned modifications may improve the correlation of such a screener with lengthier dietary instruments. Elsevier 2018-06-19 /pmc/articles/PMC6031146/ /pubmed/29988772 http://dx.doi.org/10.1016/j.pmedr.2018.06.007 Text en © 2018 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Regular Article
Lewis, Kristina H.
Skelton, Joseph A.
Hsu, Fang-Chi
Ezouah, Pascaline
Taveras, Elsie M.
Block, Jason P.
Implementing a novel electronic health record approach to track child sugar-sweetened beverage consumption
title Implementing a novel electronic health record approach to track child sugar-sweetened beverage consumption
title_full Implementing a novel electronic health record approach to track child sugar-sweetened beverage consumption
title_fullStr Implementing a novel electronic health record approach to track child sugar-sweetened beverage consumption
title_full_unstemmed Implementing a novel electronic health record approach to track child sugar-sweetened beverage consumption
title_short Implementing a novel electronic health record approach to track child sugar-sweetened beverage consumption
title_sort implementing a novel electronic health record approach to track child sugar-sweetened beverage consumption
topic Regular Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6031146/
https://www.ncbi.nlm.nih.gov/pubmed/29988772
http://dx.doi.org/10.1016/j.pmedr.2018.06.007
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