Cost-Effectiveness of a Clinical Childhood Obesity Intervention

Change in Weight Status Among Children Who Do and Do Not Participate in Intensive Health Behavior and Lifestyle Treatment for Obesity

Background: Primary care providers (PCPs) are expected to provide weight management counseling despite having low confidence in their ability to be effective. This analysis examined change in weight status between children who received usual care from their PCP and those who received one of two structured weight management programs in a randomized control trial. Methods: Data from parent-child dyads who were referred to the Guided Self-Help Obesity Treatment in the Doctor's Office study, but did not participate, were examined to determine change in weight status compared with those who participated in the trial. Families were divided into four groups: Group 1, structured treatment with high attendance; Group 2, structured treatment with low attendance; Group 3, PCP/usual care with some weight management counseling; and Group 4, PCP/usual care with no counseling. Anthropometric data and PCP delivery of weight management counseling were abstracted from the electronic health record. Main outcomes were changes in child BMI z-scores, BMI as a percentage relative to the 95th percentile, and BMI as a difference relative to the 95th percentile at the end of treatment and 6-month follow-up for each group. Results: Groups 1 and 2 showed significant decreases in weight status over time, with Group 1 showing the greatest decrease. Groups 3 and 4 remained relatively stable. Changes in weight status in Groups 2, 3, and 4 were significantly different from Group 1 at post-treatment. Conclusions: While structured weight management programs have a significant impact on weight status, those who received some counseling by their PCP did not show significant increases in weight status and were relatively weight stable. Efforts should be broadened to support PCPs as they provide weight management counseling in the office.

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.

Cost-effectiveness of Improved WIC Food Package for Preventing Childhood Obesity

BACKGROUND AND OBJECTIVES

The Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) prevents food insecurity and supports nutrition for more than 3 million low-income young children. Our objectives were to determine the cost-effectiveness of changes to WIC's nutrition standards in 2009 for preventing obesity and to estimate impacts on socioeconomic and racial/ethnic inequities.

METHODS

We conducted a cost-effectiveness analysis to estimate impacts from 2010 through 2019 of the 2009 WIC food package change on obesity risk for children aged 2 to 4 years participating in WIC. Microsimulation models estimated the cases of obesity prevented in 2019 and costs per quality-adjusted-life year gained.

RESULTS

An estimated 14.0 million 2- to 4-year old US children (95% uncertainty interval (UI), 13.7-14.2 million) were reached by the updated WIC nutrition standards from 2010 through 2019. In 2019, an estimated 62 700 (95% UI, 53 900-71 100) cases of childhood obesity were prevented, entirely among children from households with low incomes, leading to improved health equity. The update was estimated to cost $10 600 per quality-adjusted-life year gained (95% UI, $9760-$11 700). If WIC had reached all eligible children, more than twice as many cases of childhood obesity would have been prevented.

CONCLUSIONS

Updates to WIC's nutrition standards for young children in 2009 were estimated to be highly cost-effective for preventing childhood obesity and contributed to reducing socioeconomic and racial/ethnic inequities in obesity prevalence. Improving nutrition policies for young children can be a sound public health investment; future research should explore how to improve access to them.

Multiple beneficial effects of 1-year nutritional-behavioral intervention on anthropometric and metabolic parameters in overweight and obese boys

PURPOSE

Childhood obesity is on the rise worldwide increasing the risk for metabolic, cardiovascular and liver diseases in children. Eating habits and lifestyle changes are currently the standard of care for treating pediatric obesity. Our study aimed to determine the impact of a dietary intervention based on the Mediterranean Diet (MD) and the Health Eating Plate, on anthropometric and metabolic parameters in obese and overweight boys.

METHODS

We studied 126 overweight/obese boys with anthropometric measurements, blood biochemistry and nutrient intakes evaluation by means of Food Frequency Questionnaire (FFQ) at baseline, at 6 and 12 months after a nutritional-behavioral intervention.

RESULTS

We observed a significant reduction in energy, macronutrients and micronutrients intakes. BMI-SDS significantly decreased after 1 year with the proportion of obese boys decreasing by 33% and of overweight boys by 41%, while also all fat mass measures decreased both in obese and overweight individuals. In obese boys, ALT decreased significantly after 1-year nutritional intervention and these changes correlated with BMI-SDS reduction. Insulin-resistance and secretion indexes correlated with fat mass and BMI-SDS. In obese boys, significant changes were observed at 6 months for insulin concentrations, 1/HOMA-IR and QUICKI. With regard to the lipid profile, significant decreases were observed for total and LDL cholesterol in obese boys.

CONCLUSION

Metabolic and anthropometric risk factors in overweight and obese boys can be improved by a nutritional-behavioral intervention of 1-year duration.

Costs to Implement a Pediatric Weight Management Program Across 3 Distinct Contexts

BACKGROUND

The Connect for Health program is an evidence-based program that aligns with national recommendations for pediatric weight management and includes clinical decision support, educational handouts, and community resources. As implementation costs are a major driver of program adoption and maintenance decisions, we assessed the costs to implement the Connect for Health program across 3 health systems that primarily serve low-income communities with a high prevalence of childhood obesity.

METHODS

We used time-driven activity-based costing methods. Each health system (site) developed a process map and a detailed report of all implementation actions taken, aligned with major implementation requirements (eg, electronic health record integration) or strategies (eg, providing clinician training). For each action, sites identified the personnel involved and estimated the time they spent, allowing us to estimate the total costs of implementation and breakdown costs by major implementation activities.

RESULTS

Process maps indicated that the program integrated easily into well-child visits. Overall implementation costs ranged from $77,103 (Prisma Health) to $84,954 (Denver Health) to $142,721 (Massachusetts General Hospital). Across implementation activities, setting up the technological aspects of the program was a major driver of costs. Other cost drivers included training, engaging stakeholders, and audit and feedback activities, though there was variability across systems based on organizational context and implementation choices.

CONCLUSIONS

Our work highlights the major cost drivers of implementing the Connect for Health program. Accounting for context-specific considerations when assessing the costs of implementation is crucial, especially to facilitate accurate projections of implementation costs in future settings.

Cost-Effectiveness and Long-Term Savings of the Bright Bodies Intervention for Childhood Obesity

OBJECTIVES

To estimate the cost and cost-effectiveness of Bright Bodies, a high-intensity, family-based intervention that has been demonstrated to improve body mass index (BMI) among children with obesity in a randomized controlled trial.

METHODS

We developed a microsimulation model to project 10-year BMI trajectories of 8 to 16-year-old children with obesity, using data from the National Longitudinal Surveys and Centers for Disease Control and Prevention growth charts, and we validated the model using data from the Bright Bodies trial and a follow-up study. We used the trial data to estimate the average reduction in BMI per person-year over 10 years and the incremental costs of Bright Bodies, compared with the traditional clinical weight management (control), from a health system's perspective in 2020 US dollars. Using results from studies of Medical Expenditure Panel Survey data, we projected the long-term obesity-related medical expenditure.

RESULTS

In the primary analysis, assuming depreciating effects postintervention, Bright Bodies is expected to reduce a participant's BMI by 1.67 kg/m2 (95% uncertainty interval 1.43-1.94) per year over 10 years as compared with control. The incremental intervention cost of Bright Bodies was $360 ($292-$421) per person compared with the clinical control. Nevertheless, savings in obesity-related healthcare expenditure offset these costs and the expected cost-savings of Bright Bodies is $1126 ($689-$1693) per person over 10-years. The projected time to achieve cost-savings compared with clinical control was 3.58 (2.63-5.17) years.

CONCLUSIONS

Although resource-intensive, our findings suggest that Bright Bodies is cost-saving compared to the clinical control by averting future obesity-related healthcare costs among children with obesity.

Evaluation of the sugar-sweetened beverage tax in Oakland, United States, 2015-2019: A quasi-experimental and cost-effectiveness study

BACKGROUND

While a 2021 federal commission recommended that the United States government levy a sugar-sweetened beverage (SSB) tax to improve diabetes prevention and control efforts, evidence is limited regarding the longer-term impacts of SSB taxes on SSB purchases, health outcomes, costs, and cost-effectiveness. This study estimates the impact and cost-effectiveness of an SSB tax levied in Oakland, California.

METHODS AND FINDINGS

An SSB tax ($0.01/oz) was implemented on July 1, 2017, in Oakland. The main sample of sales data included 11,627 beverage products, 316 stores, and 172,985,767 product-store-month observations. The main analysis, a longitudinal quasi-experimental difference-in-differences approach, compared changes in beverage purchases at stores in Oakland versus Richmond, California (a nontaxed comparator in the same market area) before and 30 months after tax implementation (through December 31, 2019). Additional estimates used synthetic control methods with comparator stores in Los Angeles, California. Estimates were inputted into a closed-cohort microsimulation model to estimate quality-adjusted life years (QALYs) and societal costs (in Oakland) from 6 SSB-associated disease outcomes. In the main analysis, SSB purchases declined by 26.8% (95% CI -39.0 to -14.7, p < 0.001) in Oakland after tax implementation, compared with Richmond. There were no detectable changes in purchases of untaxed beverages or sweet snacks or purchases in border areas surrounding cities. In the synthetic control analysis, declines in SSB purchases were similar to the main analysis (-22.4%, 95% CI -41.7% to -3.0%, p = 0.04). The estimated changes in SSB purchases, when translated into declines in consumption, would be expected to accrue QALYs (94 per 10,000 residents) and significant societal cost savings (>$100,000 per 10,000 residents) over 10 years, with greater gains over a lifetime horizon. Study limitations include a lack of SSB consumption data and use of sales data primarily from chain stores.

CONCLUSIONS

An SSB tax levied in Oakland was associated with a substantial decline in volume of SSBs purchased, an association that was sustained more than 2 years after tax implementation. Our study suggests that SSB taxes are effective policy instruments for improving health and generating significant cost savings for society.

The Healthy Kids & Families study: Outcomes of a 24-month childhood obesity prevention intervention

Socioeconomically disadvantaged children experience a high burden of obesity but few interventions address obesity prevention in this population subgroup. The Healthy Kids & Families study tested the effect of a parent-focused community health worker (CHW)-delivered lifestyle intervention to prevent childhood obesity. Participants were child-parent/guardian (Kindergarten to 6th grade at baseline) dyads (n = 247) recruited through schools located in socioeconomically disadvantaged neighborhoods in Worcester, MA, USA. Using a quasi-experimental design, the study tested the impact of Healthy Kids & Families, a theory-based, low-intensity, parent-focused, CHW-delivered intervention to improve children's weight, healthy eating and physical activity. The attention-control comparison condition was a positive parenting intervention. The primary outcome was change in child body mass index (BMI) z-score at 24 months. Secondary outcomes included number of positive child and parent changes in selected diet and physical activity behaviors targeted by the intervention and change in parent BMI. Outcomes were assessed following the intent-to-treat principle and using multivariable generalized linear mixed models. Compared to the attention-control comparison condition, the Healthy Kids & Families intervention led to a greater reduction in children's BMI z-score (β = -0.17, 95 %CI: -1.92 to -0.36; p = 0.057) and a greater number of positive behavior changes among children (β = 0.57, 95 %CI: 0.08-1.06; p = 0.02) at 24 months. There was no significant change in parent outcomes. The Healthy Kids & Families intervention shows promise for obesity prevention among children in socioeconomically disadvantaged communities.

Economic evaluation of a school-based strategy to prevent overweight and obesity in French adolescents: insights from the PRALIMAP randomised trial

OBJECTIVES

This study aimed to provide cost-effectiveness and budget impact analyses of a school-based overweight/obesity screening and care prevention strategy among adolescents.

STUDY DESIGN

Cost-effectiveness and budget impact analyses.

METHODS

Data from 3538 adolescents who participated in a school-based randomised controlled trial in the Northeast of France were used. Costs (from a public payer's perspective) included screening for overweight and obesity and subsequent care. Effectiveness was measured as the change in body mass index (kilogram per square metre), prevalence of overweight/obesity, moderate physical activity energy expenditure, duration and frequency and total sitting time. The incremental cost-effectiveness ratio was calculated, and a budget impact analysis was conducted.

RESULTS

The screening and care strategy resulted in an incremental cost-effectiveness ratio of €1634.48 per averted case of overweight/obesity and €255.43 per body mass index unit decrease. The costs for increasing moderate physical activity by 1000 metabolic equivalent of task-min/week, duration by 60 min/week and frequency 1 day/week were €165.28, €39.21 and €93.66 per adolescent, respectively. Decreasing total sitting time by 60 min/week had a cost of €8.49 per adolescent. The cost of implementing the strategy nationally was estimated to be €50.1 million with a payback period from 3.6 to 7.3 years.

CONCLUSIONS

The screening and care strategy could be an efficient way to prevent overweight and obesity among adolescents. Future studies should investigate how the current results could be achieved in schools with different settings and thus justify its relevance for overweight and obesity prevention to policy-makers.

The cost-effectiveness of digital health interventions: A systematic review of the literature

Background

Digital health interventions have significant potential to improve safety, efficacy, and quality of care, reducing waste in healthcare costs. Despite these premises, the evidence regarding cost and effectiveness of digital tools in health is scarce and limited.

Objectives

The aim of this systematic review is to summarize the evidence on the cost-effectiveness of digital health interventions and to assess whether the studies meet the established quality criteria.

Methods

We queried PubMed, Scopus and Web of Science databases for articles in English published from January 1, 2016 to December 31, 2020 that performed economic evaluations of digital health technologies. The methodological rigorousness of studies was assessed with the Consolidated Health Economic Evaluation Reporting Standards (CHEERS). The review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) 2009 checklist.

Results

Search identified 1,476 results, 552 of which were selected for abstract and 35 were included in this review. The studies were heterogeneous by country (mostly conducted in upper and upper-middle income countries), type of eHealth intervention, method of implementation, and reporting perspectives. The qualitative analysis identified the economic and effectiveness evaluation of six different types of interventions: (1) seventeen studies on new video-monitoring service systems; (2) five studies on text messaging interventions; (3) five studies on web platforms and digital health portals; (4) two studies on telephone support; (5) three studies on new mobile phone-based systems and applications; and (6) three studies on digital technologies and innovations.

Conclusion

Findings on cost-effectiveness of digital interventions showed a growing body of evidence and suggested a generally favorable effect in terms of costs and health outcomes. However, due to the heterogeneity across study methods, the comparison between interventions still remains difficult. Further research based on a standardized approach is needed in order to methodically analyze incremental cost-effectiveness ratios, costs, and health benefits.

Assessment of Underuse and Overuse of Screening Tests for Co-occurring Conditions Among Children With Obesity

IMPORTANCE

The American Academy of Pediatrics (AAP) recommends laboratory screening for diabetes, dyslipidemia, and liver disease every 2 years among children aged 10 years and older with obesity. Routine screening for hypothyroidism or hyperinsulinemia is not recommended. National data on rates of adherence to AAP-recommended screening and rates of potentially unnecessary endocrine testing are unavailable.

OBJECTIVE

To assess rates of AAP-adherent screening and potentially unnecessary endocrine testing among privately and publicly insured children diagnosed with obesity at well-child visits.

DESIGN, SETTING, AND PARTICIPANTS

This cross-sectional study used data from the 2018-2019 IBM MarketScan Commercial Database (which contains claims from privately insured patients across the US) and the 2018-2019 IBM MarketScan Multi-State Medicaid Database (which contains claims from Medicaid patients in multiple states). A total of 156 773 children aged 10 to 18 years with obesity diagnosis codes at a well-child visit from December 1, 2018, through November 30, 2019, were included. Analysis was performed from May 1 to October 31, 2021.

MAIN OUTCOMES AND MEASURES

Primary outcomes were the proportion of children who received AAP-adherent screening during the 729 days before to 30 days after a well-child visit and the proportion of children who received 1 or more potentially unnecessary thyroid or insulin tests during the same period. Proportions of children by payer type were compared using logistic regression models adjusted for age and sex. To assess screening that was potentially ordered by primary care clinicians, the proportion of children without AAP-adherent screening before visits who received this screening within 30 days was calculated.

RESULTS

Of 156 773 children, the mean (SD) age was 13.5 years (2.5) years; 83 305 (53.1%) were male, and 97 595 (62.3%) were publicly insured. Among publicly insured children, 13 167 (13.5%) were Hispanic or Latino, 34 792 (35.6%) were non-Hispanic Black, 42 029 (43.1%) were non-Hispanic White, 3850 (3.9%) were of other race and/or ethnicity (specific races and ethnicities were not available in the database), and 3757 (3.8%) were of unknown race and ethnicity. Race and ethnicity were not available for privately insured children because these data are not reported in the commercial claims database. During the 729 days before to 30 days after well-child visits, 42 849 patients (27.3%) received AAP-adherent screening, including 13 939 (23.6%) of 59 178 privately insured children and 28 910 (29.6%) of 97 595 publicly insured children (average marginal effect for public insurance: 6.8 [95% CI, 6.3-7.2] percentage points). In addition, 46 592 children (29.7%) received potentially unnecessary thyroid or insulin tests, including 12 834 (21.7%) of 59 178 privately insured children and 23 198 (23.8%) of 97 595 publicly insured children (average marginal effect for public insurance: 2.4 [95% CI, 2.0-2.8] percentage points). Among 129 104 children who did not receive AAP-adherent screening before visits, 15 090 (11.7%) received this screening within 30 days.

CONCLUSIONS AND RELEVANCE

In this cross-sectional study, similar proportions of children diagnosed with obesity at well-child visits received recommended and nonrecommended screening tests for obesity-related co-occurring conditions, suggesting that specific actionable guidelines and interventions are needed to prevent overuse and underuse of screening tests among children with obesity.

Reversibility of pancreatic β-cells dysfunction after vitamin D and calcium supplementation: a pilot study in a population of obese and prepubescent North-African children

The mechanisms of diabetogenesis in children remain largely obscure. This study aimed to determine the impact of vitamin D and calcium supplementation on pancreatic β-cells function in terms of insulin secretion and sensitivity. This was a quasi-experimental study involving 30 obese and prepubescent Tunisian children (57% boys). During three months, the children received calcium and vitamin D supplementation at therapeutic doses. An oral glucose tolerance test (OGTT) was performed at the beginning and at the end of the study. The following metabolic definitions were applied: i) hyperinsulinism: insulinemia sum > 300 μ UI/ml during OGTT, ii) insulin-resistance: homeostatic model assessment of insulin-resistance > 2, iii) normal glycaemic profile: normal plasma levels during OGTT without any spike, and iv) pancreatic β-cells dysfunction reversibility: disappearance of the aforementioned disorders. The means ± standard-deviation of age and body mass index were 10.87 ± 1.9 years, and 30.17 ± 4.99 kg/m², respectively. All children were at the stage of hyperinsulinism associated with insulin-resistance. These disturbances were noted even in children having a normal glycaemic profile at OGTT. After calcium and vitamin D supplementation, glycaemic profile as well as insulin-secretion improved significantly (p < 0.0001). Hyperinsulinism and insulin-resistance decreased significantly by 56.67% (p < 0.0001) and 70.00% (p < 0.0001), respectively. Complete reversibility of these two disorders was noted in 26.6% of children. To conclude, in obese and prepubescent children, vitamin D and calcium supplementation led to the reversibility of the pancreatic β-cells dysfunction.

Digital Health Interventions to Enhance Prevention in Primary Care: Scoping Review

Background

Disease prevention is a central aspect of primary care practice and is comprised of primary (eg, vaccinations), secondary (eg, screenings), tertiary (eg, chronic condition monitoring), and quaternary (eg, prevention of overmedicalization) levels. Despite rapid digital transformation of primary care practices, digital health interventions (DHIs) in preventive care have yet to be systematically evaluated.

Objective

This review aimed to identify and describe the scope and use of current DHIs for preventive care in primary care settings.

Methods

A scoping review to identify literature published from 2014 to 2020 was conducted across multiple databases using keywords and Medical Subject Headings terms covering primary care professionals, prevention and care management, and digital health. A subgroup analysis identified relevant studies conducted in US primary care settings, excluding DHIs that use the electronic health record (EHR) as a retrospective data capture tool. Technology descriptions, outcomes (eg, health care performance and implementation science), and study quality as per Oxford levels of evidence were abstracted.

Results

The search yielded 5274 citations, of which 1060 full-text articles were identified. Following a subgroup analysis, 241 articles met the inclusion criteria. Studies primarily examined DHIs among health information technologies, including EHRs (166/241, 68.9%), clinical decision support (88/241, 36.5%), telehealth (88/241, 36.5%), and multiple technologies (154/241, 63.9%). DHIs were predominantly used for tertiary prevention (131/241, 54.4%). Of the core primary care functions, comprehensiveness was addressed most frequently (213/241, 88.4%). DHI users were providers (205/241, 85.1%), patients (111/241, 46.1%), or multiple types (89/241, 36.9%). Reported outcomes were primarily clinical (179/241, 70.1%), and statistically significant improvements were common (192/241, 79.7%). Results were summarized across the following 5 topics for the most novel/distinct DHIs: population-centered, patient-centered, care access expansion, panel-centered (dashboarding), and application-driven DHIs. The quality of the included studies was moderate to low.

Conclusions

Preventive DHIs in primary care settings demonstrated meaningful improvements in both clinical and nonclinical outcomes, and across user types; however, adoption and implementation in the US were limited primarily to EHR platforms, and users were mainly clinicians receiving alerts regarding care management for their patients. Evaluations of negative results, effects on health disparities, and many other gaps remain to be explored.

Microsimulation projections of obesity interventions on cardiometabolic health disparities in the United States

OBJECTIVE

The aim of this study was to estimate long-term impacts of health education interventions on cardiometabolic health disparities.

METHODS

The model simulates how health education implemented in the United States throughout 2019 to 2049 would lead to changes in adult BMI and consequent hypertension and type 2 diabetes. Health outcome changes by sex, racial/ethnic (non-Hispanic White, non-Hispanic Black, and Hispanic), and weight status (normal: 18.5 ≤ BMI < 25; overweight: 25 ≤ BMI < 30; and obesity: 30 ≤ BMI) subpopulations were compared under a scenario with and one without health education.

RESULTS

By 2049, the intervention would reduce average BMI of women with obesity to 27.7 kg/m2 (CI: 27.4-27.9), which would be 2.9 kg/m2 lower than the expected average BMI without an intervention. Education campaigns would reduce type 2 diabetes prevalence, but it would remain highest among women with obesity at 27.7% (CI: 26.2%-29.2%). The intervention would reduce hypertension prevalence among White women by 4.7 percentage points to 38.0% (CI: 36.4%-39.7%). For Black women in the intervention, the 2049 hypertension prevalence would be 52.6% (CI: 50.7%-54.5%). Results for men and women were similar.

CONCLUSIONS

Long-term health education campaigns can reduce obesity-related disease. All population groups benefit, but they would not substantially narrow cardiometabolic health disparities.

Limiting Television to Reduce Childhood Obesity: Cost-Effectiveness of Five Population Strategies

Objective: To quantify the potential population-wide costs, number of individuals reached, and impact on obesity of five effective interventions to reduce children's television viewing if implemented nationally. Study Design: Utilizing evidence from systematic reviews, the Childhood Obesity Intervention Cost Effectiveness Study (CHOICES) microsimulation model estimated the cost, population reach, and impact on childhood obesity from 2020 to 2030 of five hypothetical policy strategies to reduce the negative impact of children's TV exposure: (1) eliminating the tax deductibility of food and beverage advertising; (2) targeting TV reduction during home visiting programs; (3) motivational interviewing to reduce home television time at Women, Infants, and Children (WIC) clinic visits; (4) adoption of a television-reduction curriculum in child care; and (5) limiting noneducational television in licensed child care settings. Results: Eliminating the tax deductibility of food advertising could reach the most children [106 million, 95% uncertainty interval (UI): 105-107 million], prevent the most cases of obesity (78,700, 95% UI: 30,200-130,000), and save more in health care costs than it costs to implement. Strategies targeting young children in child care and WIC also cost little to implement (between $0.19 and $32.73 per child reached), and, although reaching fewer children because of the restricted age range, were estimated to prevent between 25,500 (95% UI: 4600-59,300) and 35,400 (95% UI: 13,200-62,100) cases of obesity. Home visiting to reduce television viewing had high costs and a low reach. Conclusions: Interventions to reduce television exposure across a range of settings, if implemented widely, could help prevent childhood obesity in the population at relatively low cost.

Economic impact of clinical decision support interventions based on electronic health records

Background

Unnecessary healthcare utilization, non-adherence to current clinical guidelines, or insufficient personalized care are perpetual challenges and remain potential major cost-drivers for healthcare systems around the world. Implementing decision support systems into clinical care is promised to improve quality of care and thereby yield substantial effects on reducing healthcare expenditure. In this article, we evaluate the economic impact of clinical decision support (CDS) interventions based on electronic health records (EHR).

Methods

We searched for studies published after 2014 using MEDLINE, CENTRAL, WEB OF SCIENCE, EBSCO, and TUFTS CEA registry databases that encompass an economic evaluation or consider cost outcome measures of EHR based CDS interventions. Thereupon, we identified best practice application areas and categorized the investigated interventions according to an existing taxonomy of front-end CDS tools.

Results and discussion

Twenty-seven studies are investigated in this review. Of those, twenty-two studies indicate a reduction of healthcare expenditure after implementing an EHR based CDS system, especially towards prevalent application areas, such as unnecessary laboratory testing, duplicate order entry, efficient transfusion practice, or reduction of antibiotic prescriptions. On the contrary, order facilitators and undiscovered malfunctions revealed to be threats and could lead to new cost drivers in healthcare. While high upfront and maintenance costs of CDS systems are a worldwide implementation barrier, most studies do not consider implementation cost. Finally, four included economic evaluation studies report mixed monetary outcome results and thus highlight the importance of further high-quality economic evaluations for these CDS systems.

Conclusion

Current research studies lack consideration of comparative cost-outcome metrics as well as detailed cost components in their analyses. Nonetheless, the positive economic impact of EHR based CDS interventions is highly promising, especially with regard to reducing waste in healthcare.

Effects of Lifestyle Modification Interventions to Prevent and Manage Child and Adolescent Obesity: A Systematic Review and Meta-Analysis

The objective of this review was to assess the impact of lifestyle interventions (including dietary interventions, physical activity, behavioral therapy, or any combination of these interventions) to prevent and manage childhood and adolescent obesity. We conducted a comprehensive literature search across various databases and grey literature without any restrictions on publication, language, or publication status until February 2020. We included randomized controlled trials and quasi-experimental studies from both high income countries (HIC) and low-middle-income countries (LMICs). Participants were children and adolescents from 0 to 19 years of age. Studies conducted among hospitalized children and children with any pre-existing health conditions were excluded from this review. A total of 654 studies (1160 papers) that met the inclusion criteria were included in this review. A total of 359 studies targeted obesity prevention, 280 studies targeted obesity management, while 15 studies targeted both prevention and management. The majority of the studies (81%) were conducted in HICs, 10% of studies were conducted in upper middle income countries, while only 2% of the studies were conducted in LMICs. The most common setting for these interventions were communities and school settings. Evidence for the prevention of obesity among children and adolescents suggests that a combination of diet and exercise might reduce the BMI z-score (MD: -0.12; 95% CI: -0.18 to -0.06; 32 studies; 33,039 participants; I2 93%; low quality evidence), body mass index (BMI) by 0.41 kg/m2 (MD: -0.41 kg/m2; 95% CI: -0.60 to -0.21; 35 studies; 47,499 participants; I2 98%; low quality evidence), and body weight (MD: -1.59; 95% CI: -2.95 to -0.23; 17 studies; 35,023 participants; I2 100%; low quality evidence). Behavioral therapy alone (MD: -0.07; 95% CI: -0.14 to -0.00; 19 studies; 8569 participants; I2 76%; low quality evidence) and a combination of exercise and behavioral therapy (MD: -0.08; 95% CI: -0.16 to -0.00; 9 studies; 7334 participants; I2 74%; low quality evidence) and diet in combination with exercise and behavioral therapy (MD: -0.13; 95% CI: -0.25 to -0.01; 5 studies; 1806 participants; I2 62%; low quality evidence) might reduce BMI z-score when compared to the control group. Evidence for obesity management suggests that exercise only interventions probably reduce BMI z-score (MD: -0.13; 95% CI: -0.20 to -0.06; 12 studies; 1084 participants; I2 0%; moderate quality evidence), and might reduce BMI (MD: -0.88; 95% CI: -1.265 to -0.50; 34 studies; 3846 participants; I2 72%) and body weight (MD: -3.01; 95% CI: -5.56 to -0.47; 16 studies; 1701 participants; I2 78%; low quality evidence) when compared to the control group. and the exercise along with behavioral therapy interventions (MD: -0.08; 95% CI: -0.16 to -0.00; 8 studies; 466 participants; I2 49%; moderate quality evidence), diet along with behavioral therapy interventions (MD: -0.16; 95% CI: -0.26 to -0.07; 4 studies; 329 participants; I2 0%; moderate quality evidence), and combination of diet, exercise and behavioral therapy (MD: -0.09; 95% CI: -0.14 to -0.05; 13 studies; 2995 participants; I2 12%; moderate quality evidence) also probably decreases BMI z-score when compared to the control group. The existing evidence is most favorable for a combination of interventions, such as diet along with exercise and exercise along with behavioral therapy for obesity prevention and exercise alone, diet along with exercise, diet along with behavioral therapy, and a combination of diet, exercise, and behavioral therapy for obesity management. Despite the growing obesity epidemic in LMICs, there is a significant dearth of obesity prevention and management studies from these regions.

Adoption of an Electronic Medical Record Tool for Childhood Obesity by Primary Care Providers

BACKGROUND

Primary care providers are tasked with the increasingly difficult job of addressing childhood obesity during clinic visits. Electronic medical record (EMR)-enabled decision-support tools may aid providers in this task; however, information is needed regarding whether providers perceive such tools to be useful for addressing nutrition and physical activity lifestyle behaviors.

OBJECTIVES

This study aimed to evaluate the usefulness and usability of FitTastic, an EMR-enabled tool to support prevention and management of childhood obesity in primary care.

METHODS

In this mixed-method study, we implemented the FitTastic tool in two primary-care clinics, then surveyed and conducted focused interviews with providers. Validated Technology Acceptance Model perceived usefulness and National Aeronautics and Space Administration (NASA) perceived usability survey questions were e-mailed to 60 providers. In-depth provider interviews with family medicine and pediatric physicians (n = 12) were used to further probe adoption of FitTastic.

RESULTS

Surveys were completed by 73% of providers (n = 44). The mean score for FitTastic's usefulness was 3.3 (standard deviation [SD] = 0.54, scale 1-5, where 5 is strongly agree) and usability, 4.8 (SD = 0.86, scale 1-7, where 7 is strongly agree). Usefulness and usability scores were associated with intention to use FitTastic (correlation for both, p < 0.05). Data from provider interviews indicated that useful features of FitTastic included: standardizing the approach to childhood obesity, and facilitating conversations about weight management, without increasing cognitive workload. However, use of FitTastic required more time from nurses to input lifestyle data.

CONCLUSION

FitTastic is perceived as a useful and usable EMR-based lifestyle behavior tool that standardizes, facilitates, and streamlines healthy lifestyle conversations with families. Perceived usability and usefulness scores correlated with provider intention-to-use the technology. These data suggest that EMR-based child obesity prevention and management tools can be feasible to use in the clinic setting, with potential for scalability. Usefulness can be optimized by limiting amount of time needed by staff to input data.

Molecular and Lifestyle Factors Modulating Obesity Disease

Obesity adversely affects bone health by means of multiple mechanisms, e.g., alterations in bone-regulating hormones, inflammation, and oxidative stress. Substantial evidence supports the relationship between adiposity and bone disorders in overweight/obese individuals. It is well known that the balance between mutually exclusive differentiation of progenitor cells into osteoblasts or adipocytes is controlled by different agents, including growth factors, hormones, genetic and epigenetic factors. Furthermore, an association between vitamin D deficiency and obesity has been reported. On the other hand, regular physical activity plays a key role in weight control, in the reduction of obesity-associated risks and promotes osteogenesis. The aim of this review is to highlight relevant cellular and molecular aspects for over-weight containment. In this context, the modulation of progenitor cells during differentiation as well as the role of epigenetics and microbiota in obesity disease will be discussed. Furthermore, lifestyle changes including an optimized diet as well as targeted physical activity will be suggested as strategies for the treatment of obesity disease.

Severity of obesity is associated with worse cardiometabolic risk profile in adolescents: Findings from a Brazilian national study (ERICA)

OBJECTIVE

The prevalence of obesity and severe obesity among adolescents has increased dramatically in developing countries. However, the distribution of cardiometabolic risk factors through the severity of obesity continuum is relatively unknown among youth. The aim of this study was to evaluate the association of weight categories with cardiometabolic risk factors among Brazilian adolescents.

METHODS

ERICA (The Study of Cardiovascular Risk in Adolescents) was a multicenter, school-based, cross-sectional study composed of Brazilian adolescents (12-17 y of age). Severity of obesity was classified according to the International Obesity Task Force reference values for body mass index (BMI) and several cardiometabolic risk factors were measured after clinical and biochemical exams and categorized using standard definitions of abnormal values.

RESULTS

Among the 37 892 adolescents enrolled, 8708 had excess weight, being classified with overweight (17.2%), obesity (5.6%), and severe obesity (1.3%). Increasing severity of obesity was associated with a worse cardiometabolic profile in the overall sample. Multivariable models that controlled for age, sex, skin color, socioeconomic status, physical activity, and total energy intake, showed that individuals in higher categories of severity of obesity tended to have higher prevalence ratios of most cardiometabolic risk factors compared with the other weight groups, except for high fasting blood glucose among boys.

CONCLUSIONS

Progressive degrees of excess weight are positively associated with cardiometabolic risk factors in youth from a middle-income country, indicating the importance in classifying the severity of weight excess among adolescents and considering this to plan prevention programs against early development of obesity-related diseases.

Cost-Effectiveness of Water Promotion Strategies in Schools for Preventing Childhood Obesity and Increasing Water Intake

OBJECTIVE

This study aimed to estimate the cost-effectiveness and impact on childhood obesity of installation of chilled water dispensers ("water jets") on school lunch lines and to compare water jets' cost, reach, and impact on water consumption with three additional strategies.

METHODS

The Childhood Obesity Intervention Cost Effectiveness Study(CHOICES) microsimulation model estimated the cost-effectiveness of water jets on US childhood obesity cases prevented in 2025. Also estimated were the cost, number of children reached, and impact on water consumption of the installation of water jets and three other strategies.

RESULTS

Installing water jets on school lunch lines was projected to reach 29.6 million children (95% uncertainty interval [UI]: 29.4 million-29.8 million), cost $4.25 (95% UI: $2.74-$5.69) per child, prevent 179,550 cases of childhood obesity in 2025 (95% UI: 101,970-257,870), and save $0.31 in health care costs per dollar invested (95% UI: $0.15-$0.55). In the secondary analysis, installing cup dispensers next to existing water fountains was the least costly but also had the lowest population reach.

CONCLUSIONS

Installating water jet dispensers on school lunch lines could also save almost half of the dollars needed for implementation via a reduction in obesity-related health care costs. School-based interventions to promote drinking water may be relatively inexpensive strategies for improving child health.

Cost-Effectiveness Analysis and Stakeholder Evaluation of 2 Obesity Prevention Policies in Maine, US

OBJECTIVE

To evaluate the potential cost-effectiveness of and stakeholder perspectives on a sugar-sweetened beverage (SSB) excise tax and a Supplemental Nutrition Assistance Program (SNAP) policy that would not allow SSB purchases in Maine, US.

DESIGN

A cost-effectiveness simulation model combined with stakeholder interviews.

SETTING

Maine, US.

PARTICIPANTS

Microsimulation of the Maine population in 2015 and interviews with stakeholders (n = 14). Study conducted from 2013 to 2017.

MAIN OUTCOME MEASURES

Health care cost savings, net costs, and quality-adjusted life-years (QALYs) from 2017 to 2027. Stakeholder positions on policies. Retail SSB cost and implementation cost data were collected.

ANALYSIS

Childhood Obesity Intervention Cost-Effectiveness Study project microsimulation model with uncertainty analysis to estimate cost-effectiveness. Thematic stakeholder interview coding.

RESULTS

Over 10 years, the SSB and SNAP policies were projected to reduce health care costs by $78.3 million (95% uncertainty interval [UI], $31.7 million-$185 million) and $15.3 million (95% UI, $8.32 million-$23.9 million), respectively. The SSB and SNAP policies were projected to save 3,560 QALYs (95% UI, 1,447-8,361) and 749 QALYs (95% UI, 415-1,168), respectively. Stakeholders were more supportive of SSB taxes than the SNAP policy because of equity concerns associated with the SNAP policy.

CONCLUSIONS AND IMPLICATIONS

Cost-effectiveness analysis provided evidence of potential health improvement and cost savings to state-level stakeholders weighing broader implementation considerations.

Adherence With Multiple National Healthy Lifestyle Recommendations in a Large Pediatric Center Electronic Health Record and Reduced Risk of Obesity

OBJECTIVE

To evaluate the utility of a routine assessment of lifestyle behaviors incorporated into the electronic health record (EHR) to quantify lifestyle practices and obesity risk at a pediatric primary care center.

PATIENTS AND METHODS

Participants included 24,255 patients aged 2 to 18 years whose parent/caregiver completed a self-report lifestyle assessment during a well-child examination (January 1, 2013, through June 30, 2016). Cross-sectional analyses of age, race/ethnicity, body mass index, and lifestyle assessment responses were performed. Outcome measures included prevalence of patients meeting consensus recommendations for physical activity; screen time; and dairy, water, and fruit/vegetable consumption and the odds of obesity based on reported lifestyle behaviors.

RESULTS

Prevalence of meeting recommendations for lifestyle behaviors was highest for physical activity (84%), followed by screen time (61%) and consumption of water (51%), dairy (27%), and fruits/vegetables (10%). Insufficient physical activity was the strongest predictor of obesity (odds ratio [OR], 1.65; 95% CI, 1.51-1.79), followed by excess screen time (OR, 1.36; 95% CI, 1.27-1.45). Disparities existed across ages, races/ethnicities, and sexes for multiple lifestyle habits. Youth who met 0 or 1 lifestyle recommendation were 1.45 to 1.71 times more likely to have obesity than those meeting all 5 recommendations.

CONCLUSION

Healthy behaviors vary in prevalence, as does their association with obesity. This variation is partially explained by age, sex, and race/ethnicity. Meeting national recommendations for specific behaviors is negatively associated with obesity in a dose-dependent manner. These findings support the assessment of lifestyle behaviors in primary care as one component of multilevel initiatives to prevent childhood obesity.