Electronic health records to support obesity-related patient care: Results from a survey of United States physicians

• Published in: Preventive medicine Vol. 77; pp. 41 - 47
• Main Authors: Bronder, Kayla L, Dooyema, Carrie A, Onufrak, Stephen J, Foltz, Jennifer L
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 01.08.2015
• Subjects: Adolescent; Attitude of Health Personnel; Body Mass Index; Child; Child, Preschool; Electronic Health Records; Female; Health Care Surveys; Humans; Internal Medicine; Male; Obesity; Obesity - diagnosis; Obesity - therapy; Patient Care; Physicians; Practice Patterns, Physicians; Primary Health Care; United States; United States; Obesity; Body mass index; Electronic health records
• ISSN: 0091-7435; 1096-0260
• DOI: 10.1016/j.ypmed.2015.04.018

Abstract Objective Obesity-related electronic health record functions increase the rates of measuring Body Mass Index, diagnosing obesity, and providing obesity services. This study describes the prevalence of obesity-related electronic health record functions in clinical practice and analyzes characteristics associated with increased obesity-related electronic health record sophistication. Methods Data were analyzed from DocStyles, a web-based panel survey administered to 1507 primary care providers practicing in the United States in June, 2013. Physicians were asked if their electronic health record has specific obesity-related functions. Logistical regression analyses identified characteristics associated with improved obesity-related electronic health record sophistication. Results Of the 88% of providers with an electronic health record, 83% of electronic health records calculate Body Mass Index, 52% calculate pediatric Body Mass Index percentile, and 32% flag patients with abnormal Body Mass Index values. Only 36% provide obesity-related decision support and 17% suggest additional resources for obesity-related care. Characteristics associated with having a more sophisticated electronic health record include age ≤ 45 years old, being a pediatrician or family practitioner, and practicing in a larger, outpatient practice. Conclusions Few electronic health records optimally supported physician's obesity-related clinical care. The low rates of obesity-related electronic health record functions currently in practice highlight areas to improve the clinical health information technology in primary care practice. More work can be done to develop, implement, and promote the effective utilization of obesity-related electronic health record functions to improve obesity treatment and prevention efforts.