Surveillance of Muscular Dystrophies

Closed Posted

Opportunity number
CDC-RFA-DD-24-0064
Agency
Applications due
Award size
$250,000 to $700,000

Opportunity facts

Funding instrument
Cooperative Agreement
Category
  • Health
Eligible applicants
  • Unrestricted
  • Other
  • State Governments
  • Public or Indian Housing Auth.
  • Special District Governments
  • Higher Education Inst. (Public)
  • For Profit Organizations
  • Higher Education Inst. (Private)
  • City/Township Governments
  • Tribal Governments (Federally Recognized)
  • 501(c)(3) Nonprofits
  • Small Businesses
  • Non-501(c)(3) Nonprofits
  • County Governments
  • Independent School Districts
  • Tribal Organizations (Not Federally Recognized)

Opportunity details come from Grants.gov. Updated .

About this opportunity

The Centers for Disease Control and Prevention (CDC) is seeking applicants for its Surveillance of Muscular Dystrophies funding opportunity. The purpose is to conduct longitudinal, population-based surveillance of select muscular dystrophies to describe health outcomes, inequities, and opportunities to improve care. Key objectives include estimating disease prevalence, describing disease progression and comorbidities, healthcare utilization, access to care, and risk factors. Eligible applicants include higher education institutions, state/local governments, nonprofits, and small businesses. Applications will be evaluated on factors such as the applicant's experience conducting similar surveillance, access to required data sources, and capacity to achieve the stated outcomes. The application deadline is May 8, 2024.

The total estimated funding is $15.2 million over 4 years, with $14 million allocated for 5-7 awards under Component A for core surveillance and dissemination activities, $400,000 for 1 award under Component B for abstractor training and data quality improvement, and up to $800,000 for 2 awards under the optional Component C to develop novel case-finding or data collection approaches. The period of performance is 4 years, with an expected project start date of September 1, 2024.

Synopsis

The purpose of this NOFO is to conduct longitudinal population-based surveillance of select muscular dystrophies [Duchenne MD (DMD), Becker MD (BMD), myotonic dystrophy (DM), facioscapulohumeral muscular dystrophy (FSHD), limb-girdle MD (LGMD), Congenital MD (CMD), Emery-Dreifuss MD (EDMD), and distal MD] to describe key health outcomes and health inequities, with the goal of identifying opportunities to improve the health of all individuals living with muscular dystrophies. The population included in this surveillance activity can be an entire state or a region within a state, with the applicant utilizing multiple data sources to generate an accurate and complete population-based cohort. Individuals with muscular dystrophy should be identified and followed longitudinally through sources such as neuromuscular, specialty care and other outpatient clinics; administrative data (e.g., vital records, Medicaid/Medicare, hospital discharge); or other sources available to funding recipients. This project will involve three components. Component A (5-7 awards) includes the core surveillance and dissemination activities. Component B (1 award) includes enhanced activities of abstractor training and data quality improvement. Component C (2 awards) is an optional component; awards will be subject to availability of funding.The total estimated funding for Component A is $14,000,000 for 4 years. The total estimated funding for Component B is $400,000 for 4 years. The total estimated funding for Component C is $800,000 over 4 years.Component A objectives include: (1) estimate prevalence of select muscular dystrophies, along with mortality and survival; (2) describe disease progression and co-morbidities; (3) describe healthcare utilization before and after the publication of standards of care, (4) describe access to care and new treatments/health equity; and (5) describe risk factors and protective factors. Component B objectives include: (1) train and provide ongoing training to abstractors in standardized collection of data from medical records and (2) create and implement a plan to periodically assess data quality of abstracted records. The objectives of Component C will be to either (1) develop and evaluate novel approaches to case-finding or longitudinal data collection (e.g., machine learning algorithms, natural language processing automated data extraction/integration), or (2) describe the use of MD-specific ICD-10-CM codes by source.

Files

On GovTribe

Work this opportunity

  • Track it in your pipeline
  • Find teaming partners
  • Similar grant opportunities
  • Ask GovTribe AI about this opportunity