Development of Brief Child Nutrition and Physical Activity Screening Questions for Electronic Health Record Use
Background:To develop and test brief nutrition and physical activity screening questions for children ages 2-11 years that could be used as a pragmatic screening tool to tailor counseling, track behavior change, and improve population health. Methods:A literature review identified existing validated...
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Veröffentlicht in: | Childhood obesity 2020-10, Vol.16 (7), p.488-498 |
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creator | Sullivan, Mikaela H. Sommer, Evan C. Schlundt, David Shinall, Jennifer B. Haws, Kelly L. Bonnet, Kemberlee R. Burgess, Laura E. Po'e, Eli K. Barkin, Shari L. |
description | Background:To develop and test brief nutrition and physical activity screening questions for children ages 2-11 years that could be used as a pragmatic screening tool to tailor counseling, track behavior change, and improve population health. Methods:A literature review identified existing validated questions for nutrition and physical activity behaviors in children ages 2-11 years. Response variation and concurrent validity was then assessed using a mechanical Turk (MTurk) crowdsourcing survey employed in 2018. Additionally, cognitive interviews were conducted with both providers and parents of 2- to 11-year-old children to assess screening question priorities and perceived added value. Results:The literature review identified 260 questions, and 20 items were selected with expert guidance based on prespecified criteria (simplicity and potential utility for both clinical interactions during a well-child exam and population health). MTurk surveys yielded 1147 records that met eligibility criteria and revealed 6 items that had adequate response variation and were significantly correlated with parent-reported child BMI or BMI percentile, exhibiting concurrent validity. Cognitive interviews with 10 providers and 20 parents uncovered themes regarding suggestions and usability of the questions, eliminating 3 items due to parent and provider concerns. Combining quantitative and qualitative results, 3 nutrition and physical activity screening items remained for inclusion into the electronic health record (EHR). Conclusions:The three-pronged validation methodology produced a brief, 3-item child nutrition and physical activity screener to incorporate in the EHR, where it can inform tailored counseling for well-child care and be used to test associations with population health outcomes. |
doi_str_mv | 10.1089/chi.2020.0088 |
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Methods:A literature review identified existing validated questions for nutrition and physical activity behaviors in children ages 2-11 years. Response variation and concurrent validity was then assessed using a mechanical Turk (MTurk) crowdsourcing survey employed in 2018. Additionally, cognitive interviews were conducted with both providers and parents of 2- to 11-year-old children to assess screening question priorities and perceived added value. Results:The literature review identified 260 questions, and 20 items were selected with expert guidance based on prespecified criteria (simplicity and potential utility for both clinical interactions during a well-child exam and population health). MTurk surveys yielded 1147 records that met eligibility criteria and revealed 6 items that had adequate response variation and were significantly correlated with parent-reported child BMI or BMI percentile, exhibiting concurrent validity. Cognitive interviews with 10 providers and 20 parents uncovered themes regarding suggestions and usability of the questions, eliminating 3 items due to parent and provider concerns. Combining quantitative and qualitative results, 3 nutrition and physical activity screening items remained for inclusion into the electronic health record (EHR). Conclusions:The three-pronged validation methodology produced a brief, 3-item child nutrition and physical activity screener to incorporate in the EHR, where it can inform tailored counseling for well-child care and be used to test associations with population health outcomes.</description><identifier>ISSN: 2153-2168</identifier><identifier>EISSN: 2153-2176</identifier><identifier>DOI: 10.1089/chi.2020.0088</identifier><identifier>PMID: 32721216</identifier><language>eng</language><publisher>NEW ROCHELLE: Mary Ann Liebert, Inc</publisher><subject>Age ; Behavior ; Child ; Child, Preschool ; Children & youth ; Clinical decision making ; Counseling ; Crowdsourcing ; Data collection ; Decision making ; Electronic Health Records ; Exercise ; Humans ; Interviews ; Life Sciences & Biomedicine ; Literature reviews ; Nutrition ; Obesity ; Original ; Parents & parenting ; Pediatric Obesity - diagnosis ; Pediatric Obesity - epidemiology ; Pediatric Obesity - prevention & control ; Pediatrics ; Primary care ; Questionnaires ; Science & Technology ; Surveys and Questionnaires ; Teenagers ; Validity ; Value added</subject><ispartof>Childhood obesity, 2020-10, Vol.16 (7), p.488-498</ispartof><rights>Copyright Mary Ann Liebert, Inc. Oct 2020</rights><rights>Copyright 2020, Mary Ann Liebert, Inc., publishers 2020 Mary Ann Liebert, Inc., publishers</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>true</woscitedreferencessubscribed><woscitedreferencescount>1</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000556085200001</woscitedreferencesoriginalsourcerecordid><citedby>FETCH-LOGICAL-c415t-bb1fa2c2642639b05149c743d5e1a4b1590ca86b707bc55e9bf3c07ddfa2ce2e3</citedby><cites>FETCH-LOGICAL-c415t-bb1fa2c2642639b05149c743d5e1a4b1590ca86b707bc55e9bf3c07ddfa2ce2e3</cites><orcidid>0000-0003-4546-205X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,315,782,786,887,27933,27934,28257,28258</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32721216$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Sullivan, Mikaela H.</creatorcontrib><creatorcontrib>Sommer, Evan C.</creatorcontrib><creatorcontrib>Schlundt, David</creatorcontrib><creatorcontrib>Shinall, Jennifer B.</creatorcontrib><creatorcontrib>Haws, Kelly L.</creatorcontrib><creatorcontrib>Bonnet, Kemberlee R.</creatorcontrib><creatorcontrib>Burgess, Laura E.</creatorcontrib><creatorcontrib>Po'e, Eli K.</creatorcontrib><creatorcontrib>Barkin, Shari L.</creatorcontrib><title>Development of Brief Child Nutrition and Physical Activity Screening Questions for Electronic Health Record Use</title><title>Childhood obesity</title><addtitle>CHILD OBES</addtitle><addtitle>Child Obes</addtitle><description>Background:To develop and test brief nutrition and physical activity screening questions for children ages 2-11 years that could be used as a pragmatic screening tool to tailor counseling, track behavior change, and improve population health. Methods:A literature review identified existing validated questions for nutrition and physical activity behaviors in children ages 2-11 years. Response variation and concurrent validity was then assessed using a mechanical Turk (MTurk) crowdsourcing survey employed in 2018. Additionally, cognitive interviews were conducted with both providers and parents of 2- to 11-year-old children to assess screening question priorities and perceived added value. Results:The literature review identified 260 questions, and 20 items were selected with expert guidance based on prespecified criteria (simplicity and potential utility for both clinical interactions during a well-child exam and population health). MTurk surveys yielded 1147 records that met eligibility criteria and revealed 6 items that had adequate response variation and were significantly correlated with parent-reported child BMI or BMI percentile, exhibiting concurrent validity. Cognitive interviews with 10 providers and 20 parents uncovered themes regarding suggestions and usability of the questions, eliminating 3 items due to parent and provider concerns. Combining quantitative and qualitative results, 3 nutrition and physical activity screening items remained for inclusion into the electronic health record (EHR). Conclusions:The three-pronged validation methodology produced a brief, 3-item child nutrition and physical activity screener to incorporate in the EHR, where it can inform tailored counseling for well-child care and be used to test associations with population health outcomes.</description><subject>Age</subject><subject>Behavior</subject><subject>Child</subject><subject>Child, Preschool</subject><subject>Children & youth</subject><subject>Clinical decision making</subject><subject>Counseling</subject><subject>Crowdsourcing</subject><subject>Data collection</subject><subject>Decision making</subject><subject>Electronic Health Records</subject><subject>Exercise</subject><subject>Humans</subject><subject>Interviews</subject><subject>Life Sciences & Biomedicine</subject><subject>Literature reviews</subject><subject>Nutrition</subject><subject>Obesity</subject><subject>Original</subject><subject>Parents & parenting</subject><subject>Pediatric Obesity - diagnosis</subject><subject>Pediatric Obesity - epidemiology</subject><subject>Pediatric Obesity - prevention & control</subject><subject>Pediatrics</subject><subject>Primary care</subject><subject>Questionnaires</subject><subject>Science & Technology</subject><subject>Surveys and Questionnaires</subject><subject>Teenagers</subject><subject>Validity</subject><subject>Value added</subject><issn>2153-2168</issn><issn>2153-2176</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>AOWDO</sourceid><sourceid>ARHDP</sourceid><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><recordid>eNqNkc1rFDEYhwdRbKk9epWAF0FmzeckcxHqWK1Q_O45ZDLvdFNmkzXJrOx_b4ati3oylwTe5_eSH09VPSV4RbBqX9m1W1FM8QpjpR5Up5QIVlMim4fHd6NOqvOU7nA5rGUEt4-rE0YlJWV2WoW3sIMpbDfgMwojehMdjKhbu2lAH-ccXXbBI-MH9Hm9T86aCV3Y7HYu79E3GwG887foywxpARMaQ0SXE9gcg3cWXYGZ8hp9BRvigG4SPKkejWZKcH5_n1U37y6_d1f19af3H7qL69pyInLd92Q01NKG04a1PRaEt1ZyNggghvdEtNga1fQSy94KAW0_MovlMCwpoMDOqteHvdu538BgS71oJr2NbmPiXgfj9N8T79b6Nuy0FFIwLsqCF_cLYvix1NMblyxMk_EQ5qQpp0oIrqQs6PN_0LswR1_qFYq3VEnS8ELVB8rGkFKE8fgZgvViUxeberGpF5uFf_ZngyP9210B1AH4CX0Yk3XgLRyxoluIBitBF_Okc9kshrow-1yiL_8_yn4Bv1O87A</recordid><startdate>20201001</startdate><enddate>20201001</enddate><creator>Sullivan, Mikaela H.</creator><creator>Sommer, Evan C.</creator><creator>Schlundt, David</creator><creator>Shinall, Jennifer B.</creator><creator>Haws, Kelly L.</creator><creator>Bonnet, Kemberlee R.</creator><creator>Burgess, Laura E.</creator><creator>Po'e, Eli K.</creator><creator>Barkin, Shari L.</creator><general>Mary Ann Liebert, Inc</general><general>Mary Ann Liebert, Inc., publishers</general><scope>17B</scope><scope>AOWDO</scope><scope>ARHDP</scope><scope>BLEPL</scope><scope>DTL</scope><scope>DVR</scope><scope>EGQ</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9-</scope><scope>K9.</scope><scope>KB0</scope><scope>M0R</scope><scope>M0S</scope><scope>M1P</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-4546-205X</orcidid></search><sort><creationdate>20201001</creationdate><title>Development of Brief Child Nutrition and Physical Activity Screening Questions for Electronic Health Record Use</title><author>Sullivan, Mikaela H. ; Sommer, Evan C. ; Schlundt, David ; Shinall, Jennifer B. ; Haws, Kelly L. ; Bonnet, Kemberlee R. ; Burgess, Laura E. ; Po'e, Eli K. ; Barkin, Shari L.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c415t-bb1fa2c2642639b05149c743d5e1a4b1590ca86b707bc55e9bf3c07ddfa2ce2e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Age</topic><topic>Behavior</topic><topic>Child</topic><topic>Child, Preschool</topic><topic>Children & youth</topic><topic>Clinical decision making</topic><topic>Counseling</topic><topic>Crowdsourcing</topic><topic>Data collection</topic><topic>Decision making</topic><topic>Electronic Health Records</topic><topic>Exercise</topic><topic>Humans</topic><topic>Interviews</topic><topic>Life Sciences & Biomedicine</topic><topic>Literature reviews</topic><topic>Nutrition</topic><topic>Obesity</topic><topic>Original</topic><topic>Parents & parenting</topic><topic>Pediatric Obesity - diagnosis</topic><topic>Pediatric Obesity - epidemiology</topic><topic>Pediatric Obesity - prevention & control</topic><topic>Pediatrics</topic><topic>Primary care</topic><topic>Questionnaires</topic><topic>Science & Technology</topic><topic>Surveys and Questionnaires</topic><topic>Teenagers</topic><topic>Validity</topic><topic>Value added</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sullivan, Mikaela H.</creatorcontrib><creatorcontrib>Sommer, Evan C.</creatorcontrib><creatorcontrib>Schlundt, David</creatorcontrib><creatorcontrib>Shinall, Jennifer B.</creatorcontrib><creatorcontrib>Haws, Kelly L.</creatorcontrib><creatorcontrib>Bonnet, Kemberlee R.</creatorcontrib><creatorcontrib>Burgess, Laura E.</creatorcontrib><creatorcontrib>Po'e, Eli K.</creatorcontrib><creatorcontrib>Barkin, Shari L.</creatorcontrib><collection>Web of Knowledge</collection><collection>Web of Science - Science Citation Index Expanded - 2020</collection><collection>Web of Science - Social Sciences Citation Index – 2020</collection><collection>Web of Science Core Collection</collection><collection>Science Citation Index Expanded</collection><collection>Social Sciences Citation Index</collection><collection>Web of Science Primary (SCIE, SSCI & AHCI)</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Proquest Nursing & Allied Health Source</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>Consumer Health Database (Alumni Edition)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Consumer Health Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Childhood obesity</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sullivan, Mikaela H.</au><au>Sommer, Evan C.</au><au>Schlundt, David</au><au>Shinall, Jennifer B.</au><au>Haws, Kelly L.</au><au>Bonnet, Kemberlee R.</au><au>Burgess, Laura E.</au><au>Po'e, Eli K.</au><au>Barkin, Shari L.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Development of Brief Child Nutrition and Physical Activity Screening Questions for Electronic Health Record Use</atitle><jtitle>Childhood obesity</jtitle><stitle>CHILD OBES</stitle><addtitle>Child Obes</addtitle><date>2020-10-01</date><risdate>2020</risdate><volume>16</volume><issue>7</issue><spage>488</spage><epage>498</epage><pages>488-498</pages><issn>2153-2168</issn><eissn>2153-2176</eissn><abstract>Background:To develop and test brief nutrition and physical activity screening questions for children ages 2-11 years that could be used as a pragmatic screening tool to tailor counseling, track behavior change, and improve population health. Methods:A literature review identified existing validated questions for nutrition and physical activity behaviors in children ages 2-11 years. Response variation and concurrent validity was then assessed using a mechanical Turk (MTurk) crowdsourcing survey employed in 2018. Additionally, cognitive interviews were conducted with both providers and parents of 2- to 11-year-old children to assess screening question priorities and perceived added value. Results:The literature review identified 260 questions, and 20 items were selected with expert guidance based on prespecified criteria (simplicity and potential utility for both clinical interactions during a well-child exam and population health). MTurk surveys yielded 1147 records that met eligibility criteria and revealed 6 items that had adequate response variation and were significantly correlated with parent-reported child BMI or BMI percentile, exhibiting concurrent validity. Cognitive interviews with 10 providers and 20 parents uncovered themes regarding suggestions and usability of the questions, eliminating 3 items due to parent and provider concerns. Combining quantitative and qualitative results, 3 nutrition and physical activity screening items remained for inclusion into the electronic health record (EHR). Conclusions:The three-pronged validation methodology produced a brief, 3-item child nutrition and physical activity screener to incorporate in the EHR, where it can inform tailored counseling for well-child care and be used to test associations with population health outcomes.</abstract><cop>NEW ROCHELLE</cop><pub>Mary Ann Liebert, Inc</pub><pmid>32721216</pmid><doi>10.1089/chi.2020.0088</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0003-4546-205X</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Age Behavior Child Child, Preschool Children & youth Clinical decision making Counseling Crowdsourcing Data collection Decision making Electronic Health Records Exercise Humans Interviews Life Sciences & Biomedicine Literature reviews Nutrition Obesity Original Parents & parenting Pediatric Obesity - diagnosis Pediatric Obesity - epidemiology Pediatric Obesity - prevention & control Pediatrics Primary care Questionnaires Science & Technology Surveys and Questionnaires Teenagers Validity Value added |
title | Development of Brief Child Nutrition and Physical Activity Screening Questions for Electronic Health Record Use |
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