{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,15]],"date-time":"2025-12-15T14:06:41Z","timestamp":1765807601532,"version":"3.41.0"},"reference-count":16,"publisher":"Oxford University Press (OUP)","issue":"1","license":[{"start":{"date-parts":[[2018,11,16]],"date-time":"2018-11-16T00:00:00Z","timestamp":1542326400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"funder":[{"DOI":"10.13039\/100000050","name":"National Heart, Lung, and Blood Institute","doi-asserted-by":"publisher","award":["K23HL118152"],"award-info":[{"award-number":["K23HL118152"]}],"id":[{"id":"10.13039\/100000050","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"NIH","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,1,1]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>We developed and validated an algorithm that uses combinations of extractable electronic-health-record (EHR) indicators (diagnosis codes, orders for laboratories, medications, and referrals) that denote widely-recommended clinician practice behaviors: attention to overweight\/obesity\/body mass index alone (BMI Alone), with attention to hypertension\/other comorbidities (BMI\/Medical Risk), or neither (No Attention). Data inputs used for each EHR indicator were refined through iterative chart review to identify and resolve modifiable coding errors. Validation was performed through manual review of randomly selected visit encounters (n\u2009=\u2009308) coded by the refined algorithm. Of 104 encounters coded as No Attention, 89.4% lacked any evidence (specificity) of attention to BMI\/Medical Risk. Corresponding evidence (sensitivity) of attention to BMI Alone was identified in 96.0% (of 101 encounters coded as BMI Alone) and BMI\/Medical Risk in 96.1% (of 103 encounters coded as BMI\/Medical Risk). Our EHR data algorithm can validly determine provider attention to BMI alone, with Medical Risk, or neither.<\/jats:p>","DOI":"10.1093\/jamia\/ocy126","type":"journal-article","created":{"date-parts":[[2018,9,11]],"date-time":"2018-09-11T03:45:15Z","timestamp":1536637515000},"page":"55-60","source":"Crossref","is-referenced-by-count":9,"title":["Algorithm to detect pediatric provider attention to high BMI and associated medical risk"],"prefix":"10.1093","volume":"26","author":[{"given":"Christy B","family":"Turer","sequence":"first","affiliation":[{"name":"Department of Pediatrics, University of Texas Southwestern Medical Center and Children\u2019s Health, Dallas, TX, USA"},{"name":"Department of Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA"},{"name":"Department of Clinical Sciences, University of Texas Southwestern Medical Center, Dallas, TX, USA"},{"name":"Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX, USA"}]},{"given":"Celette S","family":"Skinner","sequence":"additional","affiliation":[{"name":"Department of Clinical Sciences, University of Texas Southwestern Medical Center, Dallas, TX, USA"},{"name":"Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX, USA"}]},{"given":"Sarah E","family":"Barlow","sequence":"additional","affiliation":[{"name":"Department of Pediatrics, University of Texas Southwestern Medical Center and Children\u2019s Health, Dallas, TX, USA"},{"name":"Department of Clinical Sciences, University of Texas Southwestern Medical Center, Dallas, TX, USA"}]}],"member":"286","published-online":{"date-parts":[[2018,11,16]]},"reference":[{"issue":"6","key":"2020110613032817000_ocy126-B1","doi-asserted-by":"crossref","first-page":"501","DOI":"10.1056\/NEJMp1006114","article-title":"The \u201cmeaningful use\u201d regulation of electronic health records","volume":"363","author":"Blumenthal","year":"2010","journal-title":"N Engl J Med"},{"issue":"4","key":"2020110613032817000_ocy126-B2","doi-asserted-by":"crossref","first-page":"864","DOI":"10.1093\/jamia\/ocv030","article-title":"Associations between healthcare quality and use of electronic health record functions in ambulatory care","volume":"22","author":"Ancker","year":"2015","journal-title":"J Am Med Inform Assoc"},{"issue":"3","key":"2020110613032817000_ocy126-B3","doi-asserted-by":"crossref","first-page":"421","DOI":"10.1007\/s10995-016-2232-5","article-title":"Characterizing a \u201cbig data\u201d cohort of over 200, 000 low-income U.S. infants and children for obesity research: the ADVANCE early life cohort","volume":"21","author":"Boone-Heinonen","year":"2017","journal-title":"Matern Child Health J"},{"issue":"6","key":"2020110613032817000_ocy126-B4","doi-asserted-by":"crossref","first-page":"e66192.","DOI":"10.1371\/journal.pone.0066192","article-title":"Multi-institutional sharing of electronic health record data to assess childhood obesity","volume":"8","author":"Bailey","year":"2013","journal-title":"PLoS One"},{"key":"2020110613032817000_ocy126-B5","doi-asserted-by":"crossref","first-page":"2333794X16685190.","DOI":"10.1177\/2333794X16685190","article-title":"Discrepancies in communication vs. documentation of weight-management benchmarks: analysis of recorded visits with Latino children and associated health-record documentation","volume":"4","author":"Turer","year":"2017","journal-title":"Glob Pediatr Health"},{"issue":"6","key":"2020110613032817000_ocy126-B6","doi-asserted-by":"crossref","first-page":"e1286","DOI":"10.1542\/peds.2009-0555","article-title":"Patient-, provider-, and clinic-level predictors of unrecognized elevated blood pressure in children","volume":"125","author":"Brady","year":"2010","journal-title":"Pediatrics"},{"issue":"6","key":"2020110613032817000_ocy126-B7","doi-asserted-by":"crossref","first-page":"e20162195.","DOI":"10.1542\/peds.2016-2195","article-title":"Comparative effectiveness research through collaborative electronic reporting consortium. 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