Suboptimal Clinical Documentation in Young Children with Severe Obesity at Tertiary Care Centers

Background and Objectives. The prevalence of severe obesity in children has doubled in the past decade. The objective of this study is to identify the clinical documentation of obesity in young children with a BMI ≥ 99th percentile at two large tertiary care pediatric hospitals. Methods. We used a standardized algorithm utilizing data from electronic health records to identify children with severe early onset obesity (BMI ≥ 99th percentile at age <6 years). We extracted descriptive terms and ICD-9 codes to evaluate documentation of obesity at Boston Children's Hospital and Cincinnati Children's Hospital and Medical Center between 2007 and 2014. Results. A total of 9887 visit records of 2588 children with severe early onset obesity were identified. Based on predefined criteria for documentation of obesity, 21.5% of children (13.5% of visits) had positive documentation, which varied by institution. Documentation in children first seen under 2 years of age was lower than in older children (15% versus 26%). Documentation was significantly higher in girls (29% versus 17%, p < 0.001), African American children (27% versus 19% in whites, p < 0.001), and the obesity focused specialty clinics (70% versus 15% in primary care and 9% in other subspecialty clinics, p < 0.001). Conclusions. There is significant opportunity for improvement in documentation of obesity in young children, even years after the 2007 AAP guidelines for management of obesity.

[1]  W. Marsden I and J , 2012 .

[2]  O. Nafiu,et al.  Childhood body mass index and perioperative complications , 2007, Paediatric anaesthesia.

[3]  J. Haze,et al.  Obstructive sleep apnea. , 1987, Cranio : the journal of craniomandibular practice.

[4]  Michael R. Kramer,et al.  Incidence of childhood obesity in the United States. , 2014, The New England journal of medicine.

[5]  Goutham Rao,et al.  Severe Obesity in Children and Adolescents: Identification, Associated Health Risks, and Treatment Approaches A Scientific Statement From the American Heart Association , 2013, Circulation.

[6]  J. Skelton,et al.  Prevalence and trends in obesity and severe obesity among children in the United States, 1999-2012. , 2014, JAMA pediatrics.

[7]  K. Shojania,et al.  The effects of on-screen, point of care computer reminders on processes and outcomes of care. , 2009, The Cochrane database of systematic reviews.

[8]  K. Flegal,et al.  Prevalence of Childhood and Adult Obesity in the United States, 2011–2012 , 2014 .

[9]  W. Dietz,et al.  Cardiovascular risk factors and excess adiposity among overweight children and adolescents: the Bogalusa Heart Study. , 2007, The Journal of pediatrics.

[10]  Kristine A. Madsen,et al.  Underdiagnosis of pediatric obesity during outpatient preventive care visits. , 2010, Academic pediatrics.

[11]  K. Flegal,et al.  Prevalence of high body mass index in US children and adolescents, 2007-2008. , 2010, JAMA.

[12]  David W. Bates,et al.  Using electronic health records to address overweight and obesity: a systematic review. , 2013, American journal of preventive medicine.

[13]  Ö. Ekblom,et al.  Response of severely obese children and adolescents to behavioral treatment. , 2012, Archives of pediatrics & adolescent medicine.

[14]  Jonathan P. Bickel,et al.  Developing an Algorithm to Detect Early Childhood Obesity in Two Tertiary Pediatric Medical Centers , 2016, Applied Clinical Informatics.

[15]  D. Bates,et al.  Documentation and diagnosis of overweight and obesity in electronic health records of adult primary care patients. , 2013, JAMA internal medicine.

[16]  K. Flegal,et al.  Prevalence of obesity and trends in body mass index among US children and adolescents, 1999-2010. , 2012, JAMA.

[17]  Leslie A Moss,et al.  Cardiometabolic Risks and Severity of Obesity in Children and Young Adults. , 2015, The New England journal of medicine.

[18]  S. Grant,et al.  Infant BMI or Weight-for-Length and Obesity Risk in Early Childhood , 2016, Pediatrics.

[19]  P. Veugelers,et al.  Comparison of ICD code-based diagnosis of obesity with measured obesity in children and the implications for health care cost estimates , 2011, BMC medical research methodology.

[20]  T. Inge,et al.  Obesity identified by discharge ICD-9 codes underestimates the true prevalence of obesity in hospitalized children. , 2009, The Journal of pediatrics.

[21]  O. Nafiu,et al.  Association of Neck Circumference With Perioperative Adverse Respiratory Events in Children , 2011, Pediatrics.

[22]  J. Pepe,et al.  Increased Documentation and Management of Pediatric Obesity Following Implementation of an EMR Upgrade and Education , 2012, Clinical pediatrics.

[23]  T. Reinehr,et al.  Extremely obese children respond better than extremely obese adolescents to lifestyle interventions , 2015, Pediatric obesity.

[24]  R. Holubkov,et al.  Identification, evaluation, and management of obesity in an academic primary care center. , 2004, Pediatrics.

[25]  K. Flegal,et al.  Characterizing extreme values of body mass index-for-age by using the 2000 Centers for Disease Control and Prevention growth charts. , 2009, The American journal of clinical nutrition.

[26]  S. Daniels,et al.  Prevalence of obesity and extreme obesity in children aged 3–5 years , 2014, Pediatric obesity.

[27]  S. Barlow,et al.  Expert committee recommendations regarding the prevention, assessment, and treatment of child and adolescent overweight and obesity: summary report. , 2007, Pediatrics.

[28]  David C. Kaelber,et al.  Trends in the Diagnosis of Overweight and Obesity in Children and Adolescents: 1999–2007 , 2009, Pediatrics.

[29]  S. Jaber,et al.  Difficult intubation in obese patients: incidence, risk factors, and complications in the operating theatre and in intensive care units. , 2015, British journal of anaesthesia.

[30]  Jonathan D Klein,et al.  Prevalence and trends of severe obesity among US children and adolescents. , 2009, Academic pediatrics.

[31]  Augustine S. Lee,et al.  Obstructive sleep apnea, obesity, and the development of acute respiratory distress syndrome. , 2014, Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine.

[32]  George Hripcsak,et al.  Technical Brief: Agreement, the F-Measure, and Reliability in Information Retrieval , 2005, J. Am. Medical Informatics Assoc..

[33]  G. G. Stokes "J." , 1890, The New Yale Book of Quotations.

[34]  B. Ortiz-Quintero,et al.  Obesity and pro-inflammatory mediators are associated with acute kidney injury in patients with A/H1N1 influenza and acute respiratory distress syndrome. , 2014, Experimental and molecular pathology.