Assessing anthropometric and laboratory outcomes of a paediatric telehealth weight management program.

INTRODUCTION: Telehealth can expand quality care to patients unable to access specialty health services. The purpose of this study was to compare changes in body mass index (BMI) and laboratory values in patients visiting a weight management clinic for in-person versus telehealth counselling. METHODS: A retrospective cohort study of active program participants from two to 22 years old was conducted. Change in BMI, BMI z-score, low-density lipoprotein (LDL), alanine aminotransferase (ALT), and glycated haemoglobin (HbA1c) levels were measured at each patient's initial and final visit for the study period, and the difference was analysed for significance. Change in BMI z-score was analysed for non-inferiority of the telehealth group using a delta of 0.15. RESULTS: We evaluated 1019 of 1126 (90.5%) in-person patients and 58 of 75 (77.3%) of telehealth clinic patients. The mean initial BMI was 32.2 and 32.6 for the in-person and telehealth groups, respectively. There were mean decreases in BMI z-scores of 0.044 and 0.032 in the in-person and telehealth groups, respectively, P < 0.001 with a margin of 0.15. The changes in mean HbA1c (p = 0.59), mean LDL (p = 0.93), and a mean ALT (p = 0.09) were not significant, although only a minority of patients followed-up for lab draws, limiting interpretation of these results. DISCUSSION: Attending a weight management clinic via telehealth was non-inferior to in-person visits for enacting a clinically significant change in BMI z-score, mitigating the effect of sample size on BMI z-score results. These findings give credibility to telehealth as a means of increasing access to paediatric weight management care.

The Doctor Will "Friend" You Now: A Qualitative Study on Adolescents' Preferences for Weight Management App Features.

OBJECTIVES: Primary care providers report a lack of resources as a barrier to managing adolescent obesity. Mobile health applications (apps) may be helpful in weight management; however, adolescents' preferences for weight management app features are unknown. Our objectives were to provide insight into adolescents' preferred weight management app features and elicit facilitators and barriers to app use. METHODS: Using the qualitative content analysis method, 14 interviews with adolescents with overweight/obesity were conducted in rural and urban pediatric offices in South Carolina. Eligibility criteria included being 13 to 17 years old, having a body mass index at or above the 85th percentile for age and sex, and having access to a smartphone or tablet. Semistructured key informant interviews were conducted from May to October 2017. Participants were presented with three popular mobile health apps and asked to complete tasks and comment on their various features and usability. Summative content analysis coding was performed on interview transcripts, and interviews were conducted until thematic saturation was reached. RESULTS: Seventy-one percent of participants were from a rural practice, 64% were White, and 86% had a body mass index higher than the 95th percentile. Familiarity with similar apps and accessibility of apps on their smartphones promoted app use. The need for wireless Internet, operating difficulties, or privacy concerns were barriers. Nutritional education, physical activity tracking, and social connection were desirable app features. CONCLUSIONS: Adolescents have expressed preferred app features to help them manage weight; however, further work is needed to see whether these features are effective.

Aversion to Off-label Prescribing in Clinical Pediatric Weight Management: The Quintessential Double Standard.

CONTEXT: Pediatric obesity is now recognized as a chronic disease; yet few treatment options exist besides lifestyle modification therapy and bariatric surgery. We describe the limited availability of United States Food and Drug Administration (FDA)-approved antiobesity medications for adolescents and compare this to what is available for adults. We offer a rationale for off-label prescribing to assist with lifestyle modification therapy. We also highlight the need for more pharmacotherapy options and additional research into novel treatments for pediatric obesity. CASE DESCRIPTION: We describe a patient who is struggling with managing her weight and starting to develop complications of obesity. We offer a framework in which off-label prescribing may be beneficial to patients who have been engaging in lifestyle modification therapy yet fail to see improvement. CONCLUSION: Lifestyle modification therapy is necessary but often insufficient in stimulating clinically meaningful weight loss when used alone in children and adolescents who struggle with weight management. Until more FDA-approved antiobesity medications are available, pediatricians may be able to help more patients achieve weight reduction goals by familiarizing themselves with the responsible use of off-label medications and implementing these tools to improve clinical outcomes. There is a critical need for more pharmacotherapy options to help pediatric patients in managing their weight and preventing or improving the insidious complications resulting from untreated obesity.

Clinical approaches to minimize iatrogenic weight gain in children and adolescents.

Clinical providers may underestimate the role of management of diseases that can occur with obesity, termed co-morbid conditions, distinct from disease that arise as a result of obesity, co-morbidities. Many of these conditions are associated with iatrogenic weight gain, and can interfere with weight loss outcomes in children and adolescents with obesity. Management of co-morbid conditions, and thoughtful selection of medications associated with weight neutrality or weight loss may increase the effectiveness of obesity treatment strategies. The aim of this commentary is to summarize the literature and discuss considerations for obesity treatment in the context of the more complicated patient, which often requires strategic management of co-morbid conditions and minimizing iatrogenic weight gain.

Sensitivity of Clinical Pediatric Obesity Diagnosis Documented in Electronic Health Records.

Objective. This study tested the sensitivity of obesity diagnosis in electronic health records (EHRs) using body mass index (BMI) classification and identified variables associated with obesity diagnosis. Methods. Eligible children aged 2 to 18 years had a calculable BMI in 2017 and had at least 1 visit in 2016 and 2017. Sensitivity of clinical obesity diagnosis compared with children's BMI percentile was calculated. Logistic regression was performed to determine variables associated with obesity diagnosis. Results. Analyses included 31 059 children with BMI at or above 95th percentile. Sensitivity of clinical obesity diagnosis was 35.81%. Clinical obesity diagnosis was more likely if the child had a well visit, had Medicaid insurance, was female, Hispanic or Black, had a chronic disease diagnosis, and saw a provider in a practice in an urban area or with academic affiliation. Conclusion. Sensitivity of clinical obesity diagnosis in EHR is low. Clinical obesity diagnosis is associated with nonmodifiable child-specific factors but also modifiable practice-specific factors.