Obesity Clinical Trial
Official title:
Improving Childhood Obesity Outcomes: Testing Best Practices of Positive Outliers
Health care system (HCS)-based interventions have been limited by their inattention to
social and environmental barriers that impede improvement in obesity-related behaviors.
Additionally, current pediatric obesity care delivery relies on an outdated provider:patient
paradigm which is ill-suited for a problem as prevalent as obesity. HCSs often lack the
organizational structure to provide longitudinal care for children with chronic illnesses,
the clinicians to manage and support patients with chronic illnesses outside of clinic,
and/or the health information systems that support the use of evidence-based practices at
the point-of-care. Thus, the research question this study is designed to address is whether
a novel approach to care delivery that leverages delivery system and community resources and
addresses socio-contextual factors will improve family-centered childhood obesity outcomes.
The primary specific aims are to examine the extent to which the intervention, compared to
the control condition, results in:
1. A smaller age-associated increase in BMI over a 12-month period.
2. Improved parental and child ratings of pediatric health-related quality of life.
The secondary aims are:
1. To examine parental ratings of quality and family-centeredness of pediatric obesity
care and compare outcomes among participants in the intervention with the control
condition
2. To assess change in weight-related behaviors and compare outcomes among participants in
the intervention with the control condition
3. To assess the following process measures:
- Reach
- Extent of implementation
- Fidelity to protocol
- Parent satisfaction
4. To examine the extent to which neighborhood environments modify observed intervention
effects
5. To assess the documentation of Healthcare Effectiveness Data and Information Set
(HEDIS) measures in participant medical records
Status | Active, not recruiting |
Enrollment | 721 |
Est. completion date | November 2016 |
Est. primary completion date | June 2016 |
Accepts healthy volunteers | No |
Gender | Both |
Age group | 2 Years to 12 Years |
Eligibility |
Inclusion Criteria: - child is age 2.0 through 12.9 years at baseline primary care visit, - child's BMI is equal to or exceeds the 85th percentile for age and sex at baseline primary care visit, - at least 1 parent has an active email address, - at least one parent is comfortable reading and speaking in English. Exclusion Criteria: - children who do not have at least one parent/legal guardian who is able to follow study procedures for 1 year, - families who plan to leave HVMA within the study time frame, - families for whom the primary care clinician thinks the intervention is inappropriate, e.g., emotional or cognitive difficulties, - children who have a sibling already enrolled in the study, - children with chronic conditions that substantially interfere with growth or physical activity participation. |
Allocation: Randomized, Endpoint Classification: Efficacy Study, Intervention Model: Parallel Assignment, Masking: Single Blind (Outcomes Assessor), Primary Purpose: Treatment
Country | Name | City | State |
---|---|---|---|
United States | Harvard Vanguard Medical Associates | Boston | Massachusetts |
Lead Sponsor | Collaborator |
---|---|
Massachusetts General Hospital | Brigham and Women's Hospital, Harvard Vanguard Medical Associates |
United States,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | BMI | Height and weight will be measured by the medical assistants at each site using standard protocols. BMI measures will be obtained from the electronic health record (EHR) as provided through usual care. BMI measures will be converted to z-scores using CDC age and sex-specific normative data for children between 2 and 20 years old. This will allow the research team to combine data across children of different ages. | one year | No |
Primary | Quality of Life | Parents will be asked to complete the PedsQL-4.0 for their child. The PedsQL is an extensively validated, widely used, 23-item measure of health-related quality of life in children. It has been used to assess quality of life of children with chronic conditions such as obesity. Parents will be asked to complete 4 subscales: physical health, school, social, and emotional functioning which exists for parental report of children as young as 2 years of age. In addition, investigators will assess child-report of quality of life using the child version of the PedsQL validated among children ages 8 and over. The research team will also assess frequency of bullying and teasing, exercise intolerance, and satisfaction with clothing size. | one year | No |
Secondary | Quality and Family-Centeredness of Pediatric Obesity Care | One year | No | |
Secondary | Pediatric Obesity Healthcare Effectiveness Data and Information Set (HEDIS) measures | Pediatric Obesity Healthcare Effectiveness Data and Information Set (HEDIS) measures, such as weight-related diagnosis, nutrition and physical activity counselling, from the participants' EHRs | one year | No |
Secondary | Specified behavioral outcomes | Screentime, Physical Activity, Sleep Duration, Diet (Sugar-sweetened beverage intake, Fruits and Vegetables, Snacks and treat foods, Fast food intake) | one year | No |
Secondary | Process measures | Information will be collected on the acceptability, feasibility, uptake of components of the intervention, and family engagement in the study from the parents' perspectives. The following implementation domains will be measured at 12 months: a) reach, b) extent of implementation, c) fidelity to protocol, and d) parent satisfaction with multiple dimensions of care. | one year | No |
Secondary | Socioeconomic Variables | Investigators will measure variables that can act as effect modifiers or confounders of intervention effects including: (a) Indicators of socioeconomic status and (b) parental characteristics: age, height and weight, and marital status. | one year | No |
Secondary | Geographic variables | The extent to which neighborhood environments modify any observed intervention effects will be examined. | one year | No |
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