Jessica G Woo1, Meg H Zeller, Kimberly Wilson, Thomas Inge. 1. Division of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229-3039, USA. Jessica.woo@cchmc.org
Abstract
OBJECTIVES: To define inpatient care of obese children with or without an obesity diagnosis. STUDY DESIGN: A total of 29,352 inpatient discharges (18,459 unique inpatients) from a tertiary children's hospital were analyzed. Body mass index (BMI) was calculated from measured height and weight. "Obesity" was defined as BMI >or=95th percentile by using Centers for Disease Control and Prevention 2000 growth charts. "Diagnosed obesity" was defined by primary, secondary or tertiary International Classification of Diseases, Ninth Revision codes for "obesity" or "overweight." Analyses controlled for multiple inpatient records per individual. RESULTS: A total of 5989 discharges from the hospital (20.4%) were associated with obesity, but only 512 discharges (1.7%) indicated obesity as a diagnosis. An obesity diagnosis identified only 5.5% of inpatient days for obese inpatients. Obese patients with an obesity diagnosis (Ob/Dx) had fewer hospital discharges per person and shorter lengths of stay than obese patients without an obesity diagnosis (Ob/No Dx). Patients with Ob/Dx had higher odds of mental health, endocrine, and musculoskeletal disorders than non-obese inpatients, but Ob/No Dx patients generally did not. CONCLUSIONS: Inpatient obesity diagnoses underestimate inpatient utilization and misidentify patterns of care for obese children. Extreme caution is warranted when using obesity diagnoses to study healthcare utilization by obese children.
OBJECTIVES: To define inpatient care of obesechildren with or without an obesity diagnosis. STUDY DESIGN: A total of 29,352 inpatient discharges (18,459 unique inpatients) from a tertiary children's hospital were analyzed. Body mass index (BMI) was calculated from measured height and weight. "Obesity" was defined as BMI >or=95th percentile by using Centers for Disease Control and Prevention 2000 growth charts. "Diagnosed obesity" was defined by primary, secondary or tertiary International Classification of Diseases, Ninth Revision codes for "obesity" or "overweight." Analyses controlled for multiple inpatient records per individual. RESULTS: A total of 5989 discharges from the hospital (20.4%) were associated with obesity, but only 512 discharges (1.7%) indicated obesity as a diagnosis. An obesity diagnosis identified only 5.5% of inpatient days for obese inpatients. Obesepatients with an obesity diagnosis (Ob/Dx) had fewer hospital discharges per person and shorter lengths of stay than obesepatients without an obesity diagnosis (Ob/No Dx). Patients with Ob/Dx had higher odds of mental health, endocrine, and musculoskeletal disorders than non-obese inpatients, but Ob/No Dx patients generally did not. CONCLUSIONS: Inpatient obesity diagnoses underestimate inpatient utilization and misidentify patterns of care for obesechildren. Extreme caution is warranted when using obesity diagnoses to study healthcare utilization by obesechildren.
Authors: Cynthia L Ogden; Margaret D Carroll; Lester R Curtin; Margaret A McDowell; Carolyn J Tabak; Katherine M Flegal Journal: JAMA Date: 2006-04-05 Impact factor: 56.272
Authors: Nick C Patel; Monica Hariparsad; Mary Matias-Akthar; Michael T Sorter; Drew H Barzman; John A Morrison; Kevin E Stanford; Stephen M Strakowski; Melissa P DelBello Journal: J Child Adolesc Psychopharmacol Date: 2007-06 Impact factor: 2.576
Authors: Shan L Ward; Virginia Gildengorin; Stacey L Valentine; Anil Sapru; Martha A Q Curley; Neal Thomas; Douglas F Willson; Heidi R Flori Journal: Crit Care Med Date: 2016-11 Impact factor: 7.598
Authors: Numa P Perez; Maggie L Westfal; Sahael M Stapleton; Fatima Cody Stanford; Cornelia L Griggs; Janey S Pratt; David C Chang; Cassandra M Kelleher Journal: Surg Obes Relat Dis Date: 2019-12-04 Impact factor: 4.734
Authors: Bryce A Basques; Daniel D Bohl; Nicholas S Golinvaux; Brian G Smith; Jonathan N Grauer Journal: Clin Orthop Relat Res Date: 2014-09-09 Impact factor: 4.176