Challenges and solutions to sustaining paediatric weight management programs in the United States.

Paediatric weight management (PWM) programs in the United States (US) face challenges in providing sustainable multidisciplinary care for patients. The aim of this study was to report PWM program approaches to sustaining program delivery. A survey of 39 PWM programs was administered to identify challenges and solutions to program sustainability. Common and useful strategies for optimizing reimbursement for services included the use of applicable reimbursable diagnostic codes and management, billing for assessments and non-medical personnel services, and the use of hospital outpatient department clinic billing. Increasing clinical breadth and capacity was achieved by offering telemedicine and other services, such as psychotherapy, pharmacotherapy, and metabolic and bariatric surgery, as well as active management of schedules. Securing institutional and extramural funding was also reported. One of the positive changes during the pandemic was the fast adoption of telemedicine services. Although delivering sustainable evidence-based multidisciplinary PWM under the current US payment models has its challenges, PWM programs implement practical operational strategies to support this work.

Characteristics of paediatric weight management in the United States: Associations with program retention and BMI outcomes in the paediatric obesity weight evaluation registry (POWER).

OBJECTIVE: To describe characteristics of paediatric weight management (PWM) programs across the United States and evaluate associations with program-specific retention rates and body mass index (BMI) outcomes at 6 months. METHODS: A program profile survey was administered to 33 programs within the Paediatric Obesity Weight Evaluation Registry (POWER) to assess program staffing, services, and treatment format. Patient retention and percent of the 95th BMI percentile (%BMIp95) changes were assessed for each program. RESULTS: At 6 months program retention rates ranged from 15% to 74% (median: 41%), and program %BMIp95 changes ranged from -9.0 to +0.5 percentage points (median: -1.7). Percent of patients with ≥5 percentage-point decrease in %BMIp95 ranged from 17% to 71% across programs (median: 29%). No associations were detected between program characteristics and retention or %BMIp95 changes. CONCLUSIONS: Six-month patient retention and BMI outcomes vary substantially in PWM programs across the United States. Yet, no associations were found between PWM treatment factors and these program-level patient outcomes.

Trends in prescribing anti-obesity pharmacotherapy for paediatric weight management: Data from the POWER Work Group.

INTRODUCTION: To better inform the field of obesity medicine, we set out to describe the current use of pharmacotherapy meant to improve patient weight status among a group of clinicians connected through the Paediatric Obesity Weight Evaluation Registry (POWER), as well as reasons behind clinicians' use or non-use of the medications. METHODS: Paediatric weight management (PWM) programs participating in POWER were asked to complete a program profile survey in 2014 (n = 30) and 2017 (n = 33); questions about pharmacotherapy use were included. Descriptive statistics were used to identify: (a) the proportion of PWM programs offering obesity pharmacotherapy; (b) the medications most commonly prescribed; and (c) reasons among non-prescribers for not offering pharmacotherapy. RESULTS: The 2014 and 2017 surveys were completed by 29 PWM programs (97%) and 30 PWM programs (91%), respectively. Twenty-one programs completed both surveys. In 2014, 10 (34%) programs reported offering pharmacologic agents specifically for weight control, whereas in 2017, 16 (53%) reported offering pharmacotherapy for a primary indication of weight loss. Metformin was reported as the most commonly used agent in 2014, and topiramate in 2017. Largest reported increases in use over time were for topiramate and phentermine. DISCUSSION: Our survey results demonstrate that a majority of this group of PWM programs offered pharmacotherapy to promote weight loss in patients with complications or associated medical conditions. There was a trend indicating increasing use over time, despite the significant gap regarding pharmacotherapy use in the literature. CONCLUSIONS: These data suggest the need for (a) additional robust paediatric drug trials to further develop the evidence base guiding use or non-use of pharmacotherapy in paediatric weight management, and (b) increased understanding of both facilitators and barriers to prescribing anti-obesity pharmacotherapy for youth with obesity.

Electronic Gaming Characteristics Associated with Class 3 Severe Obesity in Youth Who Attend the Pediatric Weight Management Programs of the COMPASS Network.

BACKGROUND: The prevalence of severe obesity and electronic game use among youth has increased over time. METHODS: We administered a survey assessing gaming and psycho-demographic characteristics to youth aged 11-17 attending five weight management programs. We conducted chi-square and logistic regression analyses to describe the association between class 3 severe obesity and gaming characteristics. RESULTS: Four hundred twelve youth (51% female, 26% Black, 25% Hispanic, 43% White, and 44% with class 3 severe obesity) completed the survey. There was a stepwise relationship between time spent gaming and class 3 severe obesity, with 28% of those playing 2 to <4 hours a day, 48% of those playing 4 to <6 hours a day, and 56% of those playing ≥6 hours a day having class 3 severe obesity (p = 0.002). Compared to youth without class 3 severe obesity, youth with class 3 severe obesity were more likely to have a TV in the bedroom (76% vs. 63%, p = 0.004) and play games on a console (39% vs. 27%, p = 0.03) and were less likely to report parental limit setting on type of games played (7% vs. 16%, p = 0.006). Youth who played games ≥4 hours a day were 1.94 times (95% confidence interval 1.27-3.00) more likely to have class 3 severe obesity than those who played <4 hours a day, after adjustment for demographic, behavioral, and academic variables. CONCLUSIONS: Our study demonstrates a clear association between gaming characteristics, especially time spent gaming, and severe obesity in youth. Further research testing family-based interventions that target gaming behaviors in youth are needed.

Community Healthcare and Technology to Enhance Communication in Pediatric Obesity Care.

Childhood obesity continues to be a critical healthcare issue and a paradigm of a pervasive chronic disease affecting even our youngest children. When considered within the context of the socioecological model, the factors that influence weight status, including the social determinants of health, limit the impact of multidisciplinary care that occurs solely within the medical setting. Coordinated care that incorporates communication between the healthcare and community sectors is necessary to more effectively prevent and treat obesity. In this article, the Expert Exchange authors, with input from providers convened at an international pediatric meeting, provide recommendations to address this critical issue. These recommendations draw upon examples from the management of other chronic conditions that might be applied to the treatment of obesity, such as the use of care plans and health assessment forms to allow weight management specialists and community personnel (e.g., school counselors) to communicate about treatment recommendations and responses. To facilitate communication across the healthcare and community sectors, practical considerations regarding the development and/or evaluation of communication tools are presented. In addition, the use of technology to enhance healthcare-community communication is explored as a means to decrease the barriers to collaboration and to create a web of connection between the community and healthcare providers that promote wellness and a healthy weight status.

Provider Communication, Prompts, and Feedback to Improve HPV Vaccination Rates in Resident Clinics.

BACKGROUND AND OBJECTIVES: Human papillomavirus (HPV) vaccination rates lag behind vaccination rates for other adolescent vaccines; a bundled intervention may improve HPV vaccination rates. Our objective is to evaluate the impact of quality improvement (QI) training plus a bundled practice-based intervention (provider prompts plus communication skills training plus performance feedback) on improving HPV vaccinations in pediatric resident continuity clinics. METHODS: Staff and providers in 8 resident clinics participated in a 12-month QI study. The intervention included training to strengthen provider communication about the HPV vaccine. Clinics also implemented provider prompts, received monthly performance feedback, and participated in learning collaborative calls. The primary outcome measure was eligible visits with vaccination divided by vaccine-eligible visits (captured HPV vaccination opportunities). Practices performed chart audits that were fed into monthly performance feedback on captured HPV vaccination opportunities. We used conditional logistic regression (conditioning on practice) to assess captured vaccination opportunities, with the time period of the study (before and after the QI intervention) as the independent variable. RESULTS: Overall, captured opportunities for HPV vaccination increased by 16.4 percentage points, from 46.9% to 63.3%. Special cause was demonstrated by centerline shift, with 8 consecutive points above the preintervention mean. On adjusted analyses, patients were more likely to receive a vaccine during, versus before, the intervention (odds ratio: 1.87; 95% confidence interval: 1.54-2.28). Captured HPV vaccination rates improved at both well-child and other visits (by 11.7 and 13.0 percentage points, respectively). CONCLUSIONS: A bundled intervention of provider prompts and training in communication skills plus performance feedback increased captured opportunities for HPV vaccination.

Calculating a Continuous Metabolic Syndrome Score Using Nationally Representative Reference Values.

OBJECTIVE: The prevalence of metabolic syndrome in youth varies on the basis of the classification system used, prompting implementation of continuous scores; however, the use of these scores is limited to the sample from which they were derived. We sought to describe the derivation of the continuous metabolic syndrome score using nationally representative reference values in a sample of obese adolescents and a national sample obtained from National Health and Nutrition Examination Survey (NHANES) 2011-2012. METHODS: Clinical data were collected from 50 adolescents seeking obesity treatment at a stage 3 weight management center. A second analysis relied on data from adolescents included in NHANES 2011-2012, performed for illustrative purposes. The continuous metabolic syndrome score was calculated by regressing individual values onto nationally representative age- and sex-specific standards (NHANES III). Resultant z scores were summed to create a total score. RESULTS: The final sample included 42 obese adolescents (15 male and 35 female subjects; mean age, 14.8 ± 1.9 years) and an additional 445 participants from NHANES 2011-2012. Among the clinical sample, the mean continuous metabolic syndrome score was 4.16 ± 4.30, while the NHANES sample mean was quite a bit lower, at -0.24 ± 2.8. CONCLUSIONS: We provide a method to calculate the continuous metabolic syndrome by comparing individual risk factor values to age- and sex-specific percentiles from a nationally representative sample.

A Learning Collaborative Model to Improve Human Papillomavirus Vaccination Rates in Primary Care.

OBJECTIVE: Human papillomavirus (HPV) vaccination rates remain low, in part because of missed opportunities (MOs) for vaccination. We used a learning collaborative quality improvement (QI) model to assess the effect of a multicomponent intervention on reducing MOs. METHODS: Study design: pre-post using a QI intervention in 33 community practices and 14 pediatric continuity clinics over 9 months to reduce MOs for HPV vaccination at all visit types. MEASURES: outcome measures comprised baseline and postproject measures of 1) MOs (primary outcome), and 2) HPV vaccine initiation and completion. Process measures comprised monthly chart audits of MOs for HPV vaccination for performance feedback, monthly Plan-Do-Study-Act surveys and pre-post surveys about office systems. INTERVENTION: providers were trained at the start of the project on offering a strong recommendation for HPV vaccination. Practices implemented provider prompts and/or standing orders and/or reminder/recall if desired, and were provided monthly feedback on MOs to assess their progress. ANALYSES: chi-square tests were used to assess changes in office practices, and logistic regression used to assess changes in MOs according to visit type and overall, as well as HPV vaccine initiation and completion. RESULTS: MOs overall decreased (from 73% to 53% in community practices and 62% to 55% in continuity clinics; P < .01, and P = .03, respectively). HPV vaccine initiation increased for both genders in community practices (from 66% to 74% for female, 57% to 65% for male; P < .01), and for male patients in continuity clinics (from 68% to 75%; P = .05). Series completion increased overall in community practices (39% to 43%; P = .04) and for male patients in continuity clinics (from 36% to 44%; P = .03). CONCLUSIONS: Office systems changes using a QI model and multicomponent interventions decreased rates of MO for HPV vaccination and increased initiation and completion rates among some gender subgroups. A learning collaborative model provides an effective forum for practices to improve HPV vaccine delivery.

Problem Video Gaming Among Children Enrolled in Tertiary Weight Management Programs.

Prior studies show seven percent to nine percent of children demonstrate gaming behaviors that affect a child's ability to function (e.g., problem gaming), but none have examined the association between problem gaming and weight status. The objective of this study was to determine the prevalence of problem gaming among children enrolled in tertiary weight management programs. We administered a computer-based survey to a convenience sample of children aged 11-17 years enrolled in five geographically diverse pediatric weight management (PWM) programs in the COMPASS (Childhood Obesity Multi-Program Analysis and Study System) network. The survey included demographics, gaming characteristics, and a problem gaming assessment. The survey had 454 respondents representing a diverse cohort (53 percent females, 27 percent black, 24 percent Hispanic, 41 percent white) with mean age of 13.7 years. A total of 8.2 percent of respondents met criteria for problem gaming. Problem gamers were more likely to be white, male, play mature-rated games, and report daily play. Children in PWM programs reported problem gaming at the same rate as other pediatric populations. Screening for problem gaming provides an opportunity for pediatricians to address gaming behaviors that may affect the health of children with obesity who already are at risk for worsened health and quality of life.

Establishment of the Pediatric Obesity Weight Evaluation Registry: A National Research Collaborative for Identifying the Optimal Assessment and Treatment of Pediatric Obesity.

BACKGROUND: Prospective patient registries have been successfully utilized in several disease states with a goal of improving treatment approaches through multi-institutional collaboration. The prevalence of youth with severe obesity is at a historic high in the United States, yet evidence to guide effective weight management is limited. The Pediatric Obesity Weight Evaluation Registry (POWER) was established in 2013 to identify and promote effective intervention strategies for pediatric obesity. METHODS: Sites in POWER provide multicomponent pediatric weight management (PWM) care for youth with obesity and collect a defined set of demographic and clinical parameters, which they regularly submit to the POWER Data Coordinating Center. A program profile survey was completed by sites to describe characteristics of the respective PWM programs. RESULTS: From January 2014 through December 2015, 26 US sites were enrolled in POWER and had submitted data on 3643 youth with obesity. Ninety-five percent were 6-18 years of age, 54% female, 32% nonwhite, 32% Hispanic, and 59% publicly insured. Over two-thirds had severe obesity. All sites included a medical provider and used weight status in their referral criteria. Other program characteristics varied widely between sites. CONCLUSION: POWER is an established national registry representing a diverse sample of youth with obesity participating in multicomponent PWM programs across the United States. Using high-quality data collection and a collaborative research infrastructure, POWER aims to contribute to the development of evidence-based guidelines for multicomponent PWM programs.

The Association Between Measures of Fitness and Metabolic Health in Treatment-Seeking Youth with Obesity.

BACKGROUND: Both cardiorespiratory fitness (CRF) and measures of muscular fitness are associated with metabolic syndrome in adults. However, limited information exists about these relationships in youth with severe obesity who are at increased risk of metabolic dysfunction. The purpose of this study was to examine the relationship between fitness and metabolic health in treatment-seeking youth with obesity. METHODS: Data for this analysis were collected at the time of baseline visits at a stage 3 pediatric weight management center. Maximal voluntary contractions were obtained by using isometric hand-grip dynamometry, and CRF was obtained from a maximal treadmill test. Resting blood pressure and fasting measures of blood lipids, glucose, and insulin were used to calculate a continuous metabolic syndrome score (cMetS); homeostasis model assessment of insulin resistance (HOMA-IR) was calculated from fasting insulin and glucose. Relationships between measures of fitness and metabolic health were evaluated by using partial correlations adjusted for age. RESULTS: Sixty-nine participants (21 boys, 48 girls) were included in this analysis. Of these, 46% (n = 32) met the criteria for metabolic syndrome. No differences were found between boys and girls for any variable analyzed. Muscular strength was positively associated with cMetS (r = 0.35), though this association weakened after adjustment for body mass index percentile. CRF was inversely associated with homeostasis model assessment of insulin resistance (HOMA-IR) (r = -0.26) and fasting insulin (r = -0.27). Body fat percentage was positively associated with insulin (r = 0.36). No significant relationship was found between CRF and cMetS. CONCLUSION: Contrary to previous studies, CRF was not associated with metabolic syndrome in this group. Muscular strength, however, was associated with cMetS. Notably, CRF was associated with elevated HOMA-IR, which may be seen as a precursor to metabolic syndrome. These results suggest that CRF and muscular strength influence metabolic function independently.

Characteristics of Youth Presenting for Weight Management: Retrospective National Data from the POWER Study Group.

BACKGROUND: There are no existing multisite national data on obese youth presenting for pediatric weight management. The primary aim was to describe BMI status and comorbidities among youth with obesity presenting for pediatric weight management (PWM) at programs within the Pediatric Obesity Weight Evaluation Registry (POWER). METHODS: Data were collected from 2009-2010 among 6737 obese patients ages 2-17. Patients were classified in three groups by BMI (kg/m(2)) cutoffs and percent of the 95th percentile for BMI: (1) obesity; (2) severe obesity class 2; and (3) severe obesity class 3. Weighted percentages are presented for baseline laboratory tests, blood pressure, and demographics. Generalized logistic regression with clustering was used to examine the relationships between BMI status and comorbidities. RESULTS: Study youth were 11.6 ± 3.4 years of age, 56% female, 31% black, 17% Hispanic, and 53% publicly insured. Twenty-five percent of patients had obesity (n = 1674), 34% (2337) had severe obesity class 2, and 41% (2726) had severe obesity class 3. Logistic regression revealed that males (odds ratio [OR], 1.8; 95% confidence interval [CI], 1.5-2.0), blacks (OR, 1.7; 95% CI, 1.5-2.0), age <6 years (OR, 2.0; 95% CI, 1.5-2.6), and public insurance (OR, 1.8; 95% CI, 1.5-2.0) had a higher odds of severe obesity class 3. Severe obesity class 3 was associated with higher odds of laboratory abnormalities for hemoglobin A1c (OR, 1.7; 95% CI, 1.3-2.2), alanine aminotransferase ≥40 U/L (OR, 1.9; 95% CI, 1.3-2.6), and elevated systolic blood pressure (OR, 2.5; 95% CI, 2.0-3.0). CONCLUSIONS: Youth with obesity need earlier access to PWM given that they are presenting when they have severe obesity with significant comorbidities.

Graded Exercise Testing in a Pediatric Weight Management Center: The DeVos Protocol.

BACKGROUND: In this article, we describe a protocol used to test the functional capacity of the obese pediatric patient and describe the peak oxygen consumption (VO2peak) of patients seeking treatment at a pediatric weight management center. METHODS: One hundred eleven (mean age, 12.5 ± 3.0 years) patients performed a multistage exercise test on a treadmill, of which 90 (81%) met end-test criteria and provided valid VO2peak data. Peak VO2 was expressed: (1) in absolute terms (L·min(-1)); (2) as the ratio of the volume of oxygen consumed per minute relative to total body mass (mL·kg(-1)·min(-1)); and (3) as the ratio of the volume of oxygen consumed per minute relative to fat-free mass (mL·FFM·kg(-1)·min(-1)). RESULTS: Mean BMI z-score was 2.4 ± 0.3 and the mean percent body fat was 36.5 ± 9.7%. Absolute VO2peak (L·min(-1)) was significantly different between sexes; however, relative values were similar between sexes. Mean VO2peak was 25.7 ± 4.8 mL·kg(-1)·min(-1) with a range of 13.5-36.7 mL·kg(-1)·min(-1). CONCLUSIONS: Obese youth seeking treatment at a stage 3 pediatric weight management center exhibit low VO2peak. The protocol outlined here should serve as a model for similar programs interested in the submaximal and peak responses to exercise in obese pediatric patients.

Social/Electronic Media Use of Children and Adolescents Who Attend the Pediatric Weight Management Programs of the COMPASS Network.

BACKGROUND: Obesity is a major healthcare problem in youth and their social/electronic media (SEM) use has been described as a risk factor. Though much is known about the newer technologies youth use to communicate, little is known about what is used by those in weight management programs. The aim of this study was to determine what types of SEM, including sedentary and active video games, youth in weight management programs use and which they prefer for communicating with healthcare providers. METHODS/DESIGN: This was a multisite study using a 24-question online SurveyMonkey® questionnaire. Youth, 12-17 years old, attending pediatric weight management programs at seven participating centers in the Childhood Obesity Multi Program Analysis and Study System network were eligible. RESULTS: There were 292 responders with a mean age of 14.2 years. Fifty-four percent were female, 36% Caucasian, 35% African American, and 33% were Hispanic. Ninety-four percent had access to a computer, 71% had Internet access, and 63% had smartphones. Whereas 87% had at least one gaming system at home, 50% reported they never played sedentary video games (71% of females vs. 25% males; p < 0.0001) and 63% never played exercise video games during the week. The preferred method of communication with a healthcare provider was face to face (60%), with few indicating a preference for communication by texting (13%), phone (12%), or social media (6%). CONCLUSIONS: Face-to-face communication with healthcare providers is the preferred method for youth in pediatric weight management programs. They self-reported video game use less than previously described.

Improving delivery of Bright Futures preventive services at the 9- and 24-month well child visit.

OBJECTIVES: To determine if clinicians and staff from 21 diverse primary care practice settings could implement the 2008 Bright Futures Guidelines for Health Supervision of Infants, Children, and Adolescents, 3rd edition recommendations, at the 9- and 24-month preventive services visits. METHODS: Twenty-two practice settings from 15 states were selected from 51 applicants to participate in the Preventive Services Improvement Project (PreSIP). Practices participated in a 9-month modified Breakthrough Series Collaborative from January to November 2011. Outcome measures reflect whether the 17 components of Bright Futures recommendations were performed at the 9- and 24-month visits for at least 85% of visits. Additional measures identified which office systems were in place before and after the collaborative. RESULTS: There was a statistically significant increase for all 17 measures. Overall participating practices achieved an 85% completion rate for the preventive services measures except for discussion of parental strengths, which was reported in 70% of the charts. The preventive services score, a summary score for all the chart audit measures, increased significantly for both the 9-month (7 measures) and 24-month visits (8 measures). CONCLUSIONS: Clinicians and staff from various practice settings were able to implement the majority of the Bright Futures recommended preventive services at the 9- and 24-month visits at a high level after participation in a 9-month modified Breakthrough Series collaborative.