Autism Secondary Data Analysis Research (Autism SDAR)

Closed

Health Resources and Services Administration

Description

The purpose of the SDAR program is to support research that analyzes existing national data sets and/or administrative records to answer questions that can improve the health and well-being of MCH populations, including children and teenagers with autism spectrum disorders and other developmental disabilities (ASD/DD). The SDAR program helps researchers use existing data sets to identify new issues, study new research questions, test hypotheses, and determine pathways for intervention. Existing and new public health challenges affecting MCH populations, including children with special health care needs (MCH SDAR) and children and adolescents with ASD/DD (Autism SDAR), require timely, evidence-based responses from programs, policy, and practice. Without sufficient evidence or data, it is hard to develop interventions addressing both existing and new issues. SDAR research projects should help address any of the following HRSA’s Strategic Plan Objectives: • 1.4 Incorporate health equity concepts and measures into programs and policies; • 2.3 Improve the quality, safety, and effectiveness of health services for underserved populations and those in need; and • 2.4 Enhance maternal and child health efforts and reduce disparities in morbidity, mortality, and health outcomes.

Who can apply

  • State governments
  • County governments
  • City or township governments
  • Special district governments
  • Independent school districts
  • Native American tribal governments (Federally recognized)
  • Native American tribal organizations (other than Federally recognized)
  • Nonprofits with 501(c)(3) status (other than higher education)
  • Others

Contact

Department of Health and Human Services, Health Resources and Services Administration<br/>AutismSDAR@hrsa.gov
AutismSDAR@hrsa.gov

Key dates & funding
  • PostedNov 14, 2022
  • ClosesFeb 13, 2023
  • Award floor$0
  • Award ceiling$120,000
  • Program funding$480,000
  • Expected awards4
  • CFDA93.877
Categories

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