From University of Missouri, Columbia, MO (AB, RJK, JS, NW, MC); University of Missouri School of Medicine, Columbia, MO (ASL, SHM); General Pediatrics and Weight Management, Children's Mercy Hospital Center for Children's Healthy Lifestyles & Nutrition, Kansas City, MO, University of MO-Kansas City School of Medicine (SH); Cahaba Family Medicine, Pelham, AL (NM); Internal Medicine-Pediatrics, University of Texas Southwestern, Dallas, Texas (CBT).
J Am Board Fam Med. 2022 Jul-Aug;35(4):742-750. doi: 10.3122/jabfm.2022.04.210385.
Primary-care providers, clinic staff, and nurses play an important role in reducing child obesity; yet time restraints and clinical demands compete with effective pediatric weight management and prevention.
To investigate the potential impact of an electronic health record (EHR) enabled tool to assist primary care teams in addressing child obesity, we conducted a controlled effectiveness study of FitTastic compared with usual care on the BMI pattern of 291 children (2 to 17 years) up to 4 years later.
Per χ analysis, a greater proportion of children with baseline overweight/obesity in the EHR tool group than the control group had a favorable BMI pattern (32% vs 13%, = ). In logistic regression, FitTastic children were more likely than control children to have a favorable BMI pattern at follow-up (OR 3.8, 95% CI 1.1 to 13.2), adjusted for age, gender, race, and parental education.
Study findings suggest that EHR-enabled tools to assist primary care teams in managing child obesity may be useful for helping to address the weight in children with overweight/obesity, especially in younger children (2 to 5 years). Digital and EHR-enabled technologies may prove useful for partnering health care teams and families in the important tasks of setting positive, family-centered healthy lifestyle behavioral goals and managing child overweight and obesity.
初级保健提供者、诊所工作人员和护士在减少儿童肥胖方面发挥着重要作用;然而,时间限制和临床需求与有效的儿科体重管理和预防相竞争。
为了研究电子健康记录 (EHR) 辅助工具在解决儿童肥胖问题方面对初级保健团队的潜在影响,我们对 FitTastic 进行了一项对照有效性研究,将其与常规护理进行比较,随访时间长达 4 年,共涉及 291 名儿童(2 至 17 岁)的 BMI 模式。
通过卡方检验,EHR 工具组中基线超重/肥胖儿童的 BMI 模式较对照组更为有利(32% vs 13%, = )。在逻辑回归中,与对照组相比,FitTastic 组的儿童更有可能在随访时出现有利的 BMI 模式(OR 3.8,95%CI 1.1 至 13.2),调整了年龄、性别、种族和父母教育因素。
研究结果表明,EHR 辅助工具可以帮助初级保健团队管理儿童肥胖,这可能有助于解决超重/肥胖儿童的体重问题,尤其是在年龄较小的儿童(2 至 5 岁)中。数字和 EHR 辅助技术可能有助于医疗保健团队和家庭在设定积极、以家庭为中心的健康生活方式行为目标和管理儿童超重和肥胖方面发挥作用。