Individualized Decision-Making For GLP-1RA Therapy and Improving Obesity Care Using Real World Data
NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases
About This Grant
PROJECT ABSTRACT Obesity affects more than 40% of U.S. adults (more than 100 million) and contributes to substantial morbidity, mortality, and over $170 billion in annual healthcare expenditures. Glucagon-like peptide-1 receptor agonists (GLP-1RAs) offer a transformative opportunity to improve obesity-related outcomes, including significant weight loss, cardiovascular risk reduction, and emerging effects on metabolic comorbidities. However, real-world responses to GLP-1RAs vary widely. Many patients experience suboptimal weight loss and adverse effects. Current prescribing relies on body mass index (BMI) thresholds, failing to account for individual heterogeneity driven by biological, genetic, behavioral, social, and environmental factors yet to be uncovered. This contributes to trial-and-error prescribing, avoidable harm, inappropriate resource allocation, and unnecessary spending. This K23 proposes to develop and validate clinically actionable tools to individualize GLP-1RA prescribing and improve obesity care delivery. In Aim 1, machine learning will be applied to electronic health record (EHR) data (N=25,212) to develop and validate predictive models that estimate the likelihood of (1) achieving 12-month weight loss and (2) experiencing treatment-related adverse events, categorized as intolerances (e.g., nausea, constipation) or complications (e.g., gallbladder disease). In Aim 2, the expected value of individualized care (EVIC) framework will be used with a validated microsimulation model to quantify the clinical and economic value of individualized GLP-1RA prescribing versus a treat-all approach. In Aim 3, a conversation aid will be designed to communicate individualized risks and benefits, followed by usability testing to optimize its effectiveness. The overarching goal is to build tools that support scalable, individualized obesity treatment strategies grounded in real-world evidence. The candidate will receive mentored training in (1) predictive analytics and machine learning, (2) economic evaluation using the EVIC framework, and (3) user-centered design and usability testing. Completion of this training will position the candidate to lead an independent research program focused on the implementation and evaluation of cost-effective, individualized obesity care.
Grant Summary
Individualized Decision-Making For GLP-1RA Therapy and Improving Obesity Care Using Real World Data is a NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases grant providing up to $173K for university, nonprofit, healthcare org. Applications are due 2031-03-31 (open). Check eligibility and apply with FindGrants.
Focus Areas
Eligibility
How to Apply
Up to $173K
2031-03-31
- 1Confirm your organization is eligible for Individualized Decision-Making For GLP-1RA Therapy and Improving Obesity Care Using Real World Data from NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases, checking organization type, location, and any population or project requirements.
- 2Gather the required documents and information, including your organization details, project plan, and budget figures.
- 3Draft your application narrative and budget addressing the funder's priorities and review criteria. FindGrants can draft each section for you to review and edit.
- 4Review every section against the requirements checklist, then export a submission-ready application pack and submit it to NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases before the deadline.
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Individualized Decision-Making For GLP-1RA Therapy and Improving Obesity Care Using Real World Data: Frequently Asked Questions
Who is eligible for the Individualized Decision-Making For GLP-1RA Therapy and Improving Obesity Care Using Real World Data?
Individualized Decision-Making For GLP-1RA Therapy and Improving Obesity Care Using Real World Data is offered by NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases and is generally open to university, nonprofit, healthcare org. It is open to organizations nationwide unless the funder specifies otherwise. Review the specific eligibility terms before applying, since funders set their own requirements around organization type, location, and the population or project being served.
How much funding does the Individualized Decision-Making For GLP-1RA Therapy and Improving Obesity Care Using Real World Data provide?
Individualized Decision-Making For GLP-1RA Therapy and Improving Obesity Care Using Real World Data provides up to $173K per award from NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases. Actual award sizes depend on the scope of your project, available program funds, and the number of applicants, so build a budget that reflects realistic, allowable costs rather than the maximum figure.
When is the Individualized Decision-Making For GLP-1RA Therapy and Improving Obesity Care Using Real World Data deadline?
Applications for Individualized Decision-Making For GLP-1RA Therapy and Improving Obesity Care Using Real World Data are due 2031-03-31 (open). Because deadlines can change, verify the date with the funder, NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases, and give yourself enough time to prepare a complete, competitive application before the close date.
How do you apply for the Individualized Decision-Making For GLP-1RA Therapy and Improving Obesity Care Using Real World Data?
To apply for Individualized Decision-Making For GLP-1RA Therapy and Improving Obesity Care Using Real World Data, confirm your eligibility, gather the required documents, and prepare a narrative and budget that address the funder's priorities. FindGrants guides you step by step and can draft each section, then exports a submission-ready application pack for this grant from NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases.