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Technologies for Improving Minority Health and Eliminating Health Disparities (R41/R42- Clinical Trial Optional)
NOTE: The Solicitations and topics listed on this site are copies from the various SBIR agency solicitations and are not necessarily the latest and most up-to-date. For this reason, you should use the agency link listed below which will take you directly to the appropriate agency server where you can read the official version of this solicitation and download the appropriate forms and rules.
The official link for this solicitation is: https://grants.nih.gov/grants/guide/rfa-files/RFA-MD-18-010.html
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Background
Over the years, there has been continued improvement of health for Americans with the introduction of medical and scientific advances. Despite notable improvements gained as a result of the technological advancement, there continues to be an alarming disproportionate burden of illness among racial and ethnic minority and other health disparity populations. To meet this challenge, the NIMHD is committed to supporting a wide range of research, aimed at the development of innovative diagnostics, treatments, and prevention strategies that improve the health of racial and ethnic minority populations or reduce, and eventually eliminate health disparities.
The purpose of this funding opportunity is to stimulate a partnership of ideas and technologies between small business concerns (SBCs) and non-profit research institutions resulting in improving minority health and the reduction of health disparities by commercializing innovative technologies for one or more NIH-defined health disparity population group(s). NIH-defined health disparity population groups include racial and ethnic minorities (African Americans/Blacks, Hispanics/Latinos, American Indians/Alaska Natives, Asians, Native Hawaiians and Other Pacific Islanders), socioeconomically disadvantaged individuals, individuals residing in rural areas, and sexual/gender minorities. Appropriate technologies must be effective, affordable, culturally acceptable, and easily accessible to those who need them.
Research Objectives
Technologies to be developed may be new and innovative or they may arise from existing technologies that have been redesigned based on the needs of one or more disparity populations. To be effective, a technology must provide an improvement over current quality of care for a health disparity population by overcoming one or more of the barriers. These include:
Physical Barriers– factors such as proximity to healthcare facilities and transportation may limit access to healthcare.
Knowledge Barriers- health literacy and language barriers can inhibit healthcare delivery, as well as a lack of patient information for the healthcare provider.
Infrastructure Barriers- rural hospitals and community health centers may not have the same resources and expertise of large hospitals, and may not be able to afford advanced medical technologies.
Economic Barriers- lack of insurance coverage or financial resources may also contribute to disparities in healthcare access.
Cultural Barriers- religious beliefs and social customs often deter certain populations from seeking healthcare.
Specific Areas of Research Interest
Technologies that might achieve the objectives of this initiative may be as follows:
Innovative products or services that facilitate or enhance care coordination between primary care providers, hospital emergency department staff, specialty physicians, nurse practitioners, providers of mental health and behavioral health services, patient navigators, etc., in medically underserved communities and regions.
Culturally attuned behavioral interventions or low-cost tools and technologies (e.g. software apps for mobile devices) that empower and promote opportunities for individuals and communities to engage in health-seeking behaviors (diet choice, exercise/physical activity, oral hygiene, medication adherence, child immunizations, etc.) and to avoid risky behaviors (smoking, alcohol/drug misuse, unsafe sex, etc.).
Tools, technologies, and methods for detecting, measuring, and assessing a broad array of unhealthy social and environmental exposures (stress, pollutants, allergens, noise, crime, etc.), and for characterizing cumulative exposures to these environments (exposomes) for individuals and communities and linking this information to physiological responses and health indicators at the individual and population levels. These technologies may include efforts to improve data collection and data integration across disparate data sources, including clinical patient data, public health data, census data, housing data, employment data, crime statistics, etc.
Products or services that expand opportunities to access and utilize high-quality prenatal care and thereby reduce the frequency of high-risk pregnancies in health disparity populations.
Products or services that engage, empower, and motivate individuals and communities to enhance the quality of life and reduce health disparities.
Culturally appropriate survey instruments, tools, modules and databases to promote community-based research engaging racial/ethnic minorities, rural and other medically underserved communities.
Culturally appropriate, evidence-based health empowering promotion and disease prevention educational media such as software, informational videos, printed materials for health disparities populations and disadvantaged communities.
Innovative software, tools and technology for Science and Health Education such as curriculum materials, interactive teaching aids, models for classroom instruction for K-12 and undergraduate students and the general public.
Mobile health (mHealth) and telehealth/telemedicine technologies and apps for communication, diagnosis, monitoring, evaluation, medical management, tracking and treatment in underserved community settings and rural and remote locations.
Groundbreaking products or technology to promote big data science or enhance data scientist training to address health inequities and/or minority health research, for example software or tools developed to easily link social determinants of health (e.g., years of education, race/ethnicity, etc.) with massive datasets such as electronic medical record (EMR), genomic information, census data, national surveys, and other state or community-level data sources. Such technology will be instrumental in understanding fundamental causes of health disparities and developing meaningful interventions.
Technologies for the rapid identification in human specimens (e.g., blood, buccal swabs, etc.) of genes and/or genomic variants of known importance to minority health.
See Section VIII. Other Information for award authorities and regulations.