Community OHCA Risk Prediction Using Machine Learning: A Multi-Domain Approach to Prevention and Preparedness
NIMHD - National Institute on Minority Health and Health Disparities
About This Grant
PROJECT SUMMARY Out-of-hospital cardiac arrest (OHCA) is a leading cause of death in the United States (US). Advances in resuscitation science have improved survival rates in some communities, but wide variability in incidence and survival outcomes persist. Multiple geographic and temporal factors contribute to this variability such as comorbidity burden, place effects, access to healthcare, poverty, community resources, and variation in clinical care policies. Given the substantial public health burden of OHCA and marked geographic variability in incidence and survival, developing a targeted framework to identify and measure OHCA incident and outcome risks is essential. We will employ a participatory and mixed methods approach that combines machine learning (ML) and artificial intelligence with qualitative research methods to develop and evaluate an OHCA risk score and a virtual laboratory (VL) environment as decision support tools to inform community-level interventions to improve OHCA outcomes. We will first engage community representatives and officials, involved in the OHCA system of care (e.g. community service organizations, emergency medical service providers, hospital quality assurance officers, public health officials, and cardiac arrest survivors) to participate in focus groups and key informant interviews to identify optimal and efficient data elements to define a scalable and usable OHCA risk score (Aim 1). Based on this information, we will then employ ML methods to develop the OHCA risk score and VL environment (Aim 2), which will then be discussed and evaluated by community representatives (Aim 3). These elements of participatory ML will provide important context for data interpretation while building trust in the OHCA risk score and VL environment as pre-implementation tools to diagnose local delivery capabilities and develop implementation strategies to overcome any barriers identified. The OHCA risk score and VL environments resulting from this project can inform public health messaging, aid local public health departments and hospitals to identify areas where surveillances needs to be heightened, and inform government agencies where to direct funding and resource allocation as it pertains both to the chain of survival as well as prevention and early identification of patients at risk for OHCA. This work is a necessary first step to direct strategic investments in emergency response infrastructure and community-level interventions to improve preparedness and optimize OHCA survival outcomes.
Grant Summary
Community OHCA Risk Prediction Using Machine Learning: A Multi-Domain Approach to Prevention and Preparedness is a NIMHD - National Institute on Minority Health and Health Disparities grant providing up to $687K for university, nonprofit, healthcare org. Applications are due 2031-01-31 (open). Check eligibility and apply with FindGrants.
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Focus Areas
Eligibility
How to Apply
Up to $687K
2031-01-31
- 1Confirm your organization is eligible for Community OHCA Risk Prediction Using Machine Learning: A Multi-Domain Approach to Prevention and Preparedness from NIMHD - National Institute on Minority Health and Health Disparities, 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 NIMHD - National Institute on Minority Health and Health Disparities before the deadline.
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Community OHCA Risk Prediction Using Machine Learning: A Multi-Domain Approach to Prevention and Preparedness: Frequently Asked Questions
Who is eligible for the Community OHCA Risk Prediction Using Machine Learning: A Multi-Domain Approach to Prevention and Preparedness?
Community OHCA Risk Prediction Using Machine Learning: A Multi-Domain Approach to Prevention and Preparedness is offered by NIMHD - National Institute on Minority Health and Health Disparities 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 Community OHCA Risk Prediction Using Machine Learning: A Multi-Domain Approach to Prevention and Preparedness provide?
Community OHCA Risk Prediction Using Machine Learning: A Multi-Domain Approach to Prevention and Preparedness provides up to $687K per award from NIMHD - National Institute on Minority Health and Health Disparities. 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 Community OHCA Risk Prediction Using Machine Learning: A Multi-Domain Approach to Prevention and Preparedness deadline?
Applications for Community OHCA Risk Prediction Using Machine Learning: A Multi-Domain Approach to Prevention and Preparedness are due 2031-01-31 (open). Because deadlines can change, verify the date with the funder, NIMHD - National Institute on Minority Health and Health Disparities, and give yourself enough time to prepare a complete, competitive application before the close date.
How do you apply for the Community OHCA Risk Prediction Using Machine Learning: A Multi-Domain Approach to Prevention and Preparedness?
To apply for Community OHCA Risk Prediction Using Machine Learning: A Multi-Domain Approach to Prevention and Preparedness, 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 NIMHD - National Institute on Minority Health and Health Disparities.