Body composition in early pubescent children with obesity: effects following 1 year of nonintervention.

Little is known about whether body composition changes differently between children with and without obesity following 1 year of nonintervention. Therefore, we investigated body composition in early pubescent children (8-12 yr) with and without obesity before and after a period of 1 year of nonintervention. Early pubescent children (8-12 yr; Tanner stage ≤ 3) with (body mass index, BMI ≥ 95th percentile) and without obesity (15th < BMI < 85th percentile) were recruited. At baseline, 88 children (n = 25 without obesity) completed dual-energy X-ray absorptiometry imaging (DXA) for body composition measurements [%body fat, fat mass, fat-free mass (FFM)]. One year later, 47 participants (n = 15 without obesity) returned for repeat testing. The children without obesity were older (11.0 ± 1.0 vs. 10.0 ± 1.2 yr; means ± SD) (P = 0.013). There was no group difference in height, and both groups increased in height similarly after 1 year (147.7 ± 8.9 to 154.5 ± 9.2 cm without vs. 145.6 ± 5.8 to 152.5 ± 5.9 cm with obesity) (P < 0.001). Weight was greater (P < 0.001) in children with obesity at baseline as was the increase in weight after 1 yr (9.25 vs. 5.82 kg) (interaction, P = 0.005). Fat mass increased by 4.4 kg in children with obesity and by 1.1 kg in children without obesity (interaction, P < 0.001). However, there was no difference in fat-free mass between those with and without obesity at baseline (29.9 ± 5.9 vs. 31.6 ± 4.8 kg) (P = 0.206) with both groups increasing similarly over 1 year (gain of 4.87 vs. 4.85 kg with and without obesity, respectively). Without intervention, the increase in fat mass is four times greater in children with obesity after 1 year as compared with children without obesity.NEW & NOTEWORTHY Little is known about changes in body composition in children with and without obesity following 1 year of nonintervention. We report that without intervention, fat mass gain is significantly greater in children with obesity after 1 year compared with those without obesity. Body mass index (BMI) and %body fat measurements after 1 year yielded no significant increase suggesting that BMI and %fat alone are not suitable measures for tracking changes in adiposity among children.

Adaptation of a standardized lifestyle intervention to maximize health outcomes in adolescent metabolic and bariatric surgery patients.

BACKGROUND: Metabolic and bariatric surgery (MBS) is safe and efficacious in treating adolescents with severe obesity. Behavioral/lifestyle programs can support successful preparation for surgery and post-MBS weight loss, but no standardized lifestyle intervention exists for adolescents. Here we describe the process of developing and adapting the Diabetes Prevention Program Group Lifestyle Balance (DPP/GLB) curriculum to support adolescents pre- and post-MBS. METHODS: We collected both qualitative and quantitative data from a diverse group of adolescents (N = 19, mean age 15.2 years, range 13-17, 76% female, 42% non-Hispanic Black, 41% Hispanic, 17% other). Additionally, we included data from 13 parents, all of whom were mothers. These participants were recruited from an adolescent MBS program at Children's Health System of Texas. In an online survey, we asked participants to rank their preferences and interests in DPP/GLB content topics. We complemented these results with in-depth interviews from a subset of 10 participants. This qualitative data triangulation informed the development of the TeenLYFT lifestyle intervention program, designed to support adolescents who were completing MBS and described here. This program was adapted from adolescent and parent DPP/GLB content preferences, incorporating the social cognitive model (SCM) and the socioecological model (SEM) constructs to better cater to the needs of adolescent MBS patients. RESULTS: Adolescents' top 3 ranked areas of content were: (1) steps to adopt better eating habits and healthier foods; (2) healthy ways to cope with stress; and (3) steps to stay motivated and manage self-defeating thoughts. Nearly all adolescent participants preferred online delivery of content (versus in-person). Mothers chose similar topics with the addition of information on eating healthy outside the home. Key themes from the adolescent qualitative interviews included familial support, body image and self-confidence, and comorbidities as key motivating factors in moving forward with MBS. CONCLUSIONS: The feedback provided by both adolescents and parents informed the development of TeenLYFT, an online support intervention for adolescent MBS candidates. The adapted program may reinforce healthy behaviors and by involving parents, help create a supportive environment, increasing the likelihood of sustained behavior change. Understanding adolescent/parent needs to support weight management may also help healthcare providers improve long-term health outcomes for this patient population.

Outcome of BMI2+: Motivational Interviewing to Reduce BMI Through Primary Care AAP PROS Practices.

BACKGROUND: Pediatric obesity rates in the United States remain at an all-time high. Pediatric primary care clinicians and registered dietitians can help treat childhood obesity, and motivational interviewing (MI) has shown promising effects in prior trials. METHODS: We randomized 18 pediatric primary care practices to receive the Brief Motivational Interviewing to Reduce BMI or BMI2+ intervention or continue with usual care (UC). Practices were recruited through the American Academy of Pediatrics Pediatric Research in Office Settings network. The intervention comprised 4 components1: in-person and telehealth MI counseling by pediatric clinicians; 4 recommended sessions,2 6 telephone MI counseling sessions from a registered dietitian,3 text message reminders and tailored motivational messages, and4 parent educational materials. The main outcome was the change in the percentage of the 95th percentile of BMI. The study was conducted 2017 through 2021. RESULTS: There was a significant treatment x time interaction (b = 0.017, 95% confidence interval: [0.0066-0.027]) for the main outcome, favoring the UC group, with youth in the intervention arm showing a greater relative increase in their percent of the 95th percentile. CONCLUSIONS: There was no overall benefit of the intervention and, contrary to expectations, youth in the intervention arm gained more weight, based on percent of the distance from the 95th percentile than matched youth from UC practices. The absolute excess weight gain among intervention relative to UC youth was small, approximately 0.5 BMI units and 1 kg over 2 years. We offer several potential explanations for these unexpected findings.

Efficacy of a Primary Care eHealth Obesity Treatment Pilot Intervention Developed for Vulnerable Pediatric Patients.

Background: Challenges to treat excess weight in primary care settings include time constraints during encounters and barriers to multiple visits for patient families, especially those from vulnerable backgrounds. Dynamo Kids! (DK), a bilingual (English/Spanish) e-health intervention, was created to address these system-level challenges. This pilot study assessed the effect of DK use on parent-reported healthy habits and child BMI. Methods: In this 3-month, quasi-experimental cohort design, DK was offered to parents with children aged 6-12 years with BMI ≥85th percentile in three public primary care sites in Dallas, Texas. DK included three educational modules, one tracking tool, recipes, and links to internet resources. Parents completed an online survey before and after 3 months. Pre-post changes in family nutrition and physical activity (FNPA) scores, clinic-measured child %BMIp95, and self-reported parent BMI were assessed using mixed-effects linear regression modeling. Results: A total of 73 families (mean child age = 9.3 years; 87% Hispanic, 12% non-Hispanic Black, and 77% Spanish-speaking families) completed the baseline survey (participants) and 46 (63%) used the DK site (users). Among users, pre-post changes (mean [standard deviation]) showed an increase in FNPA scores (3.0 [6.3], p = 0.01); decrease in child %BMIp95 (-1.03% [5.79], p = 0.22); and decrease in parent BMI (-0.69 [1.76], p = 0.04). Adjusted models showed -0.02% [95% confidence interval: -0.03 to -0.01] change in child %BMIp95 for each minute spent on the DK website. Conclusions: DK demonstrated a significant increase in parent FNPA scores and decrease in self-reported parent BMI. e-Health interventions may overcome barriers and require a lower dosage than in-person interventions.

Family-based pediatric weight management interventions in US primary care settings targeting children ages 6-12 years old: A systematic review guided by the RE-AIM framework.

Obesity is a pandemic that disproportionately affects children from vulnerable populations in the USA. Current treatment approaches in primary care settings in the USA have been reported to be insufficient at managing pediatric obesity, primarily due to implementation challenges for healthcare systems and barriers for families. While the literature has examined the efficacy of pediatric obesity interventions focused on internal validity, it lacks sufficient reporting and analysis of external validity necessary for successful translation to primary care settings. We conducted a systematic review of the primary-care-setting literature from January 2007 to March 2020 on family-based pediatric weight management interventions in both English and/or Spanish for children ages 6-12 years in the USA using the Reach, Efficacy/Effectiveness, Adoption, Implementation, Maintenance (RE-AIM) framework. A literature search, using PRISMA guidelines, was conducted in January 2022 using the following electronic databases: Medline Ovid, Embase, and Cochrane Library. 22 270 records were screened, and 376 articles were reviewed in full. 184 studies were included. The most commonly reported dimensions of the RE-AIM framework were Reach (65%), Efficacy/Effectiveness (64%), and Adoption (64%), while Implementation (47%) and Maintenance (42%) were less often reported. The prevalence of reporting RE-AIM construct indicators ranged greatly, from 1% to 100%. This systematic review underscores the need for more focus on external validity to guide the development, implementation, and dissemination of future pediatric obesity interventions based in primary care settings. It also suggests conducting additional research on sustainable financing for pediatric obesity interventions.

Pediatric weight management research focused on primary care centers for children ages 6­12 in the USA has typically focused on assessing the effectiveness of the intervention rather than how to translate and disseminate such interventions into different settings for diverse populations, or external validity. Using the Reach, Efficacy/Effectiveness, Adoption, Implementation, Maintenance (RE-AIM) framework, we conducted a systematic review to report how existing research reports external validity.

Integration of e-Health Strategies for Post-COVID-19 Pandemic Pediatric Weight Management Programs.

Background: The COVID-19 pandemic catalyzed a renewed urgency to address the obesity pandemic and accelerated the use of technology to treat pediatric obesity. Yet, there are significant incongruities between the existing literature on technology for obesity management and the current health care system that may lead to suboptimal outcomes and increased costs. This study reviewed the types of e-health strategies currently in use, highlighted inconsistencies and overlap in terminology, and identified future research directions in e-health for childhood obesity, including gaps in implementation science. Methods: This narrative literature review synthesized seminal articles from the literature, as well as recent articles, using PubMed and Google Scholar that focused on the use of technology in treating pediatric obesity. This inclusive strategy was intended to elucidate the heterogeneity in how different disciplines are using digital health terminology in pediatric obesity research. Results: Both the prevalence of e-health interventions and its associated terminology are increasing in the peer-reviewed literature, especially since the beginning of the COVID-19 pandemic. Yet, their definitions and usage are unstandardized, leading to a lack of cohesion in the research and between disciplines. There is a gap in implementation science outcomes, including reimbursement, that may significantly impact external validity and uptake. Conclusion: A more systematic and precise approach to researching e-health that can assess specific technologies and combinations of technologies, their short-term and long-term effect sizes, and feasibility can produce the necessary data that may lead to reimbursement policies and, ultimately, improved pediatric weight management outcomes.

Prevalence of the metabolic syndrome by household food insecurity status in the United States adolescent population, 2001-2020: a cross-sectional study.

BACKGROUND: Household food insecurity (FI) is a modifiable social determinant of health linked to chronic health outcomes. Little is known, however, about the prevalence of metabolic syndrome (MetS) in pediatric population-based studies by household FI status. OBJECTIVES: The objective of the study was to estimate the prevalence of the MetS by household FI status over the past 2 decades. METHODS: This cross-sectional study used data from the 2001-2020 National Health and Nutrition Examination Survey (NHANES). Participants were nonpregnant adolescents ages 12- 18 y in United States. The prevalence of MetS [elevated waist circumference and >2 of the following risk factors: elevated blood pressure, and fasting glucose, triglyceride, and/or low high-density lipoprotein (HDL) cholesterol concentrations] by FI status was evaluated using chi-square and logistic regression analyses. RESULTS: The estimated prevalence of MetS was 2.66% [95% confidence interval (CI): 2.28%, 3.09%] in the final analytical sample (unweighted N = 12,932). A total of 3.39% (95% CI: 2.53%, 4.53%) of adolescents from FI households had MetS compared to 2.48% (95% CI: 2.11%, 2.9%) among adolescents with no household FI. Hispanic adolescents had the highest prevalence of MetS (3.73%, 95% CI: 3.05, 4.56) compared with adolescents who identified as non-Hispanic White (2.78%, 95% CI: 2.25, 3.43), non-Hispanic Black (1.58%, 95% CI: 1.19, 2.10). Adolescents with household FI (23.20%) were more likely to have MetS [odds ratio (OR): 1.38; 95% CI: 1.02, 1.88; I=0.039) compared with adolescents with no household FI, but in fully adjusted models this was not significant (OR: 1.13; 95% CI: 0.75, 1.72). CONCLUSIONS: Using the most current NHANES data, the estimated prevalence of MetS in adolescents in United States was slightly higher among those from FI households. However, after adjusting for potential confounders, the relationship between household FI and MetS was nonsignificant, highlighting the complexity of factors contributing to MetS in this population. Hispanic adolescents share a disproportionate burden of MetS compared with their non-Hispanic counterparts.

The Use of Electronic Health Record Data to Identify Variation in Referral, Consent, and Engagement in a Pediatric Intervention for Overweight and Obesity: A Cross-Sectional Study.

Clinical weight management programs face low participation. The authors assessed whether using electronic health record (EHR) data can identify variation in referral, consent, and engagement in a pediatric overweight and obesity (OW/OB) intervention. Using Epic EHR data collected between August 2020 and April 2021, sociodemographic and clinical diagnostic data (ie, International Classification of Disease [ICD] codes from visit and problem list [PL]) were analyzed to determine their association with referral, consent, and engagement in an OW/OB intervention. Bivariate analyses and multivariable logistic regression modeling were performed, with Bayesian inclusion criterion score used for model selection. Compared with the 581 eligible patients, referred patients were more likely to be boys (60% vs. 54%, respectively; P = 0.04) and have a higher %BMIp95 (119% vs. 112%, respectively; P < 0.01); consented patients were more likely to have a higher %BMIp95 (120% vs. 112%, respectively; P < 0.01) and speak Spanish (71% vs. 59%, respectively; P = 0.02); and engaged patients were more likely to have a higher %BMIp95 (117% vs. 112%, respectively; P = 0.03) and speak Spanish (78% vs. 59%, respectively; P < 0.01). The regression model without either ICD codes or PL diagnoses was the best fit across all outcomes, which were associated with baseline %BMIp95 and health clinic location. Neither visit nor PL diagnoses helped to identify variation in referral, consent, and engagement in a pediatric OW/OB intervention, and their role in understanding participation in such interventions remains unclear. However, additional efforts are needed to refer and engage younger girls with less extreme cases of OW/OB, and to support non-Hispanic families to consent.

Electronic phenotypes to distinguish clinician attention to high body mass index, hypertension, lipid disorders, fatty liver and diabetes in pediatric primary care: Diagnostic accuracy of electronic phenotypes compared to masked comprehensive chart review.

BACKGROUND/OBJECTIVES: Electronic phenotyping is a method of using electronic-health-record (EHR) data to automate identifying a patient/population with a characteristic of interest. This study determines validity of using EHR data of children with overweight/obesity to electronically phenotype evidence of clinician 'attention' to high body mass index (BMI) and each of four distinct comorbidities. METHODS: We built five electronic phenotypes classifying 2-18-year-old children with overweight/obesity (n = 17,397) by electronic/health-record evidence of distinct attention to high body mass index, hypertension, lipid disorders, fatty liver, and prediabetes/diabetes. We reviewed, selected and cross-checked random charts to define items clinicians select in EHRs to build problem lists, and to order medications, laboratory tests and referrals to electronically classify attention to overweight/obesity and each comorbidity. Operating characteristics of each clinician-attention phenotype were determined by comparing comprehensive chart review by reviewers masked to electronic classification who adjudicated evidence of clinician attention to high BMI and each comorbidity. RESULTS: In a random sample of 817 visit-records reviewed/coded, specificity of each electronic phenotype is 99%-100% (with PPVs ranging from 96.8% for prediabetes/diabetes to 100% for dyslipidemia and hypertension). Sensitivities of the attention classifications range from 69% for hypertension (NPV, 98.9%) to 84.7% for high-BMI attention (NPV, 92.3%). CONCLUSIONS: Electronic phenotypes for clinician attention to overweight/obesity and distinct comorbidities are highly specific, with moderate (BMI) to modest (each comorbidity) sensitivity. The high specificity supports using phenotypes to identify children with prior high-BMI/comorbidity attention.

Standardizing and optimizing nutrition evaluation frequency of enterally fed patients in an ambulatory pediatric gastroenterology practice: A single-center study.

BACKGROUND: Nutrition monitoring is essential in feeding tube-dependent patients receiving home enteral nutrition (HEN). We identified lack of consistency in dietitian evaluations for our pediatric patients receiving HEN. Consequently, after establishing an institutional standard for nutrition reassessment intervals, we underwent a quality improvement (QI) initiative to improve rates of adherence to standard frequency of dietitian consults and referrals among patients receiving HEN. METHODS: A prospective QI initiative from April 2021 to December 2021 was performed using multiple plan-do-study-act (PDSA) cycles. Interventions included (1) a reminder placard, (2) the display of feeding tube status and date of the last dietitian note in the electronic health record (EHR) clinic schedule dashboard, and (3) an autotext smart element to the EHR default clinic note template. The goal was to enable clinicians to quickly identify the need for nutrition evaluation with either a same-day dietitian consult or a referral to nutrition clinic. RESULTS: Among 111 HEN patients with >6 months since last nutrition encounter, the dietitian referral/consult rate prior to any interventions was 58%. The placard (PDSA 1) was abandoned before obtaining reportable data because of sampling bias and clinic workflow inefficiencies. The clinic schedule dashboard modification (PDSA 2) improved the dietitian referral/consult rate to 66%. Subsequently, the clinic note smart element (PDSA 3) increased the rate to 77%. An 8-week postintervention check revealed a compliance rate of 78%. CONCLUSION: Implementation of minimally interruptive EHR enhancements showed a sustained increase in dietitian referrals and consults for patients receiving HEN, which may improve nutrition outcomes.

Dynamo Kids!/¡Niños Dinámicos! A Web Site for Pediatric Primary Care Providers to Offer Parents of Children 6-12 Years Old With Overweight and Obesity: Web Site Development and Protocol for Pilot Study.

INTRODUCTION: A self-guided web site offered by pediatric primary care providers could help parents implement healthy behaviors. METHOD: The Dynamo Kids/¡Niños Dinámicos program was developed with input from parents and health care professionals, creating a bilingual site for parents to learn why and how to implement healthy behavior changes for their children. A single-arm pilot will enroll parents with children 6-12 years with body mass index (BMI) ≥ 85th percentile seen in safety-net practices. Electronic health record modifications alert providers to eligible children at well-child encounters. Consented parents complete online surveys before accessing the site. At 3 months, the providers see children in weight-focused encounters. Outcomes include change in Family Nutrition and Physical Activity parent survey score (primary) and change in child relative BMI (secondary). Additional data include time spent on site, provider surveys, and provider and parent interviews. RESULTS: Pending implementation. DISCUSSION: If program shows promise, a large, controlled study could further evaluate with a goal of broad dissemination.

Successful Virtual Delivery of a Group Childhood Healthy Weight Program.

Because of the COVID-19 pandemic, the Get Up & Go program, an established effective 10-week healthy weight program for children ages 6-14 years provided free to families, has offered the option of a synchronous virtual delivery. Pre- and postassessments include a parental questionnaire about child's health behaviors, and weight and height measurements of children. Over 3 cycles, 116 and 107 families registered for virtual and in-person delivery, respectively, with 70 (60.3%) and 84 (78.5%) attending ≥1 session (p = 0.003). More families in virtual delivery spoke Spanish (41.4% vs. 22.6%, p = 0.01), but children did not differ in age, gender, and severe obesity status, and baseline behavior scores and graduation rates were similar. Improvement from baseline in BMIp95 was -3.71 [standard deviation (SD) 5.26] for virtual delivery and -1.95 (3.69) (p = 0.06) for in-person. Behavior questionnaire improvement [+15.9 (12.9) vs. +14.2 (12.0), p = 0.51] did not differ. The virtual implementation demonstrated good effect and may be useful in nonpandemic environments.

Implementation of a telehealth-enhanced home visiting programme for families of young children.

INTRODUCTION: Health systems are applying innovative solutions, such as telehealth and home visiting, to reduce unnecessary healthcare utilization, including emergency department (ED) visits. A large paediatric healthcare system implemented a telehealth-enhanced home visiting programme as an extension of primary care services. The purpose of this paper is three-fold: (1) Examine the process of implementation and the intermediate clinical outcomes; (2) Evaluate patient experiences and acceptability of the programme post-implementation; (3) Identify system, clinic and patient factors influencing implementation of the home visiting programme. METHODS: Implementation of the telehealth-enhanced home visiting programme occurred from July 2018 to March 2019. Longitudinal electronic health records (EHR) and surveys were triangulated with qualitative data to evaluate the preliminary effectiveness, feasibility, and acceptability of the programme. RESULTS: Of the 948 eligible families, clinical care staff referred 38% of families to the home visiting programme and 49 families (5%) completed the 12-week home visiting programme. Necessary ED utilization significantly increased post-implementation compared with pre-implementation. Families were overall highly satisfied with the programme and its content. Several factors influenced implementation including outer setting (i.e. patient needs and external policy), inner setting (e.g. poor leadership engagement, fully integrated network, and high tension for change), and individual characteristics (e.g. high self-efficacy). CONCLUSIONS: Once families were enrolled, the programme was fairly successful in addressing patient outcomes. The programme and visit process was highly regarded by families and the unlicensed healthcare professionals. Future programme recommendations, such as small programmatic changes and major improvements in the clinic, should be implemented before widespread dissemination.

Distribution of comorbidities as primary diagnoses by obesity class among patients in a large US paediatric healthcare system.

There is little documentation of the distribution of specific health conditions across obesity classes (I, II, III), especially for paediatric populations who are seen for routine care in large United States US healthcare systems. The aim of this study was to assess the odds of presenting ≥2 obesity-related comorbidities as well as assess the overall distribution of these co-morbidities in children by class I/II/III obesity status controlling for key sociodemographic characteristics. This retrospective (2015-2019) electronic health record review analysed 49 276 patients from the Children's Health System of Texas diagnosed with obesity-related health conditions by obesity status (no obesity, class I, II, III). Crude and adjusted logistic regression models examined the association between obesity class and the likelihood of ≥2 comorbidities as primary diagnoses. Patients with class I obesity were 22% more likely (OR 1.22, 95% CI, 1.16, 1.27), patients with class II obesity were almost 50% more likely (OR 1.44, 95% CI, 1.35, 1.53) and those with class III obesity twice as likely (OR 2.04, 95% CI 1.91, 2.18) to be diagnosed with ≥2 comorbidities as primary diagnoses, compared with patients classified with no obesity. Children with obesity, particularly severe obesity, should be monitored closely by paediatricians for possible diagnoses of risk factors that could lead to adult chronic disease.

Determining pediatric hypertension criteria: concordance between observed physician methods and guideline-recommended methods.

OBJECTIVE: To determine and evaluate the accuracy of methods physicians use to detect diagnostic criteria for pediatric hypertension [hypertensive blood pressures (BPs) on three or more occasions] in electronic health records (EHRs). METHODS: Methods used by pediatric-trained physicians (n = 12) to detect diagnostic criteria for hypertension in a simulation using a child's EHR data were directly observed, timed, and evaluated for accuracy. All physicians were given the same information regarding diagnostic criteria to eliminate knowledge gaps. Then, computer modeling and EHR data from 41 654 3-18-year-olds were used to simulate and compare the accuracy of detecting hypertension criteria using an observed-shorthand method vs. the guideline-recommended/gold-standard method. RESULTS: No physician used the guideline-recommended method of determining multiple time-of-care hypertension thresholds for child age/height at the time of each BP measure. One physician estimated the child's BP diagnosis without computing thresholds; 11 of 12 physicians determined the child's hypertension threshold from age/height data at the time of a current visit and applied/imputed this threshold to BP measured at all visits (current-visit threshold used to assess historical-visit BPs) to detect three separate BP elevations. Physicians took 2.3 min (95% confidence interval, 1.5-3.0) to declare a diagnosis. Sensitivity was 83.1% when applying the current-visit threshold to detect the guideline-recommended-BP-threshold diagnosis using EHR data. Specificity and positive-predictive/negative-predictive values ranged from 98.5 to 99.9%. CONCLUSION: Physicians applied a shorthand method to evaluate pediatric BPs. Computer-simulated comparison of the shorthand and guideline methods using clinical data suggest the shorthand method could yield an inaccurate impression of a child's BP history in 17% of pediatric ambulatory visits.

The Implementation and Five-Year Evolution of a Childhood Healthy Weight Program: Making a Health Care-Community Partnership Work.

Background: Sustained implementation of moderate to high-intensity interventions to treat childhood obesity meets many barriers. This report uses the Centers for Disease Control and Prevention's (CDC's) Replicating Effective Programs framework to describe and evaluate the implementation of a 5-year health care-community collaborative program. Methods: Interviews with program leadership provided information on setting, organizational culture, program creation and adaptation, and costs. Administrative data were used for number of sessions and their characteristics; referrals; and 2018-2019 participant enrollment, attendance, completion numbers, and completer outcomes. Results: Preconditions for this program were high childhood obesity prevalence, and the complementary strengths of the health care organization (primary care treatment referral stream, population health orientation, alternative Medicaid funding) and the community organization (accessible space and time, staffing model, and organization mission). Preimplementation steps included collaborative design of a curriculum and allocation of administrative tasks. Implementation led to simultaneous deployment in as many as 17 community locations, with sessions offered free to families weekday evenings or weekends, delivered in English or Spanish. From 2018 to 2019, 2746 children were referred from nearly 300 providers, 832 (30.3%) enrolled, and 553 (66.3%) attended at least once, with 392 (70.8% of attenders and 47.1% of enrolled) completing the program. Outcomes in completers included improvement in %BMIp95 [-2.34 (standard deviation, SD 4.19)] and Progressive Aerobic Cardiovascular Endurance Run (PACER) laps [2.46 (SD 4.74)], p < 0.0001 for both. Evolution, including in referral process, Spanish program material and delivery, and range of ages, occurred continuously rather than at discrete intervals. Major system disruptions also affected the implementation. Maintenance of the program relied on the health care organization's administrative team and the collaboration with the community organization. Conclusion: This program's collaboration across organizations and ongoing adaptation were necessary to build and sustain a program with broad reach and positive health outcomes. The lessons learned may be helpful for other programs.