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Childhood obesity is highly prevalent and is associated with both short- and long-term adverse outcomes.
Despite availability of guidelines for nearly a decade and more recent comparative effectiveness research (CER) evidence, the health care system has been slow to adopt recommended practices. Although pediatric health care providers often cite barriers such as limited time, skill, and resources, a frequently overlooked barrier is the lack of data systems to efficiently and accurately assess guideline implementation and to improve quality of care for childhood obesity. Health information technology (HIT) offers potential for accelerating the adoption of CER evidence regarding childhood obesity screening and management, for establishing treatment benchmarks, and for supporting patients and their clinical teams in care improvement. Incorporation of HIT may be especially effective if augmented by outreach to parents and children.
The goal of this study is to develop and test system-level interventions to accelerate the adoption of CER evidence on childhood obesity screening and management, and ultimately improve obesity-related health care quality and outcomes. To achieve this goal, the investigators will work with two health care systems in Massachusetts with strong track records of research collaboration: Cambridge Health Alliance (CHA), an integrated academic public health system, and Harvard Vanguard Medical Associates (HVMA), a large multi-site group practice. Both systems use an electronic medical record for all aspects of ambulatory care, including point of care services such as electronic order entry and centralized functions such as patient scheduling.
In these settings of innovation and commitment to improving quality of care, the investigators will develop and test two systematic strategies for adoption of CER evidence. The first incorporates computerized point of care decision alerts to pediatric primary care providers during routine office visits, linked to CER-based algorithms of care. The second augments this HIT approach with direct-to-parent communication of child's body mass index (BMI) along with recommended evaluation and management. The specific aims of this study are:
In 18 community health centers of CHA, to identify barriers to and facilitators of adoption of an existing set of computerized point of care decision alerts for childhood obesity screening and management. The investigators will achieve this aim through in-depth interviews and surveys with primary care clinicians, which will inform the design of the investigators proposed intervention.
In 14 practices of HVMA, to conduct a cluster-randomized controlled trial to examine the extent to which computerized point of care decision alerts to pediatric primary care providers, with or without direct-to-parent communications, will increase adoption of CER evidence on childhood obesity for children 6 to 12 years of age with a BMI ≥ 95th percentile. The investigators will determine the extent to which each of the 2 intervention conditions, compared with the usual care control condition and with each other, results in:
To evaluate each intervention's costs (including clinician and family time) and cost-effectiveness in terms of children's change in BMI and weight-related behaviors.
To develop a detailed dissemination guide to further accelerate adoption of CER evidence on childhood obesity in practices and communities interested in implementing similar interventions.
To achieve the investigators aims, the investigators have assembled a research team with extensive experience in obesity prevention, clinician and child behavior change, clinical informatics, statistical methodology in cluster randomized controlled trials, cost-effectiveness analyses, and dissemination science. If successful, this project will provide new and sustainable approaches for accelerating adoption of CER evidence for childhood obesity screening and management and for improving quality of care for childhood obesity in pediatric primary care.
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549 participants in 3 patient groups
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Data sourced from clinicaltrials.gov
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