NIH funding opportunities (2) - Population Health Interventions: Integrating Individual and Group Level Evidence (R01, R21)

NIH funding opportunities (2) – Population Health Interventions: Integrating Individual and Group Level Evidence (R01, R21)

The description below is from the R01 version of this Funding Opportunity Announcement (FOA). Participating I&Cs are:

Office of Behavioral and Social Sciences Research (OBSSR)
National Cancer Institute (NCI)
National Institute on Alcohol Abuse and Alcoholism (NIAAA)
National Institute of Dental and Craniofacial Research (NIDCR)
National Institute on Drug Abuse (NIDA)

This new funding announcement promotes research that utilizes interventions targeting multiple levels, including the individual level (behavioral, familial) and clinical/community level (including the health care system at both the regional and national level).

Applications submitted to this funding announcement should recognize the complexities of the multi-factorial origins of health outcomes, and target more than one of the following, including, but not limited to:

Individual-level factors, such as self-management for health/disease risk factors, stress, and social support.
Environmental factors, such as culture, social system, social context, and the built environment.
Provider-level factors, such as improvements in access, quality of care, communication, systems for promoting trust and adherence, and patient support services (e.g., patient navigation).
Community factors, such as place, developing a social culture of healthy lifestyles, safe environments, and increased choices of healthy foods and leisure activities.

Applicants are strongly encouraged to build multidisciplinary teams comprised of researchers from multiple social and behavioral science fields (including epidemiology and biostatistics, social work, urban planning and development, public policy, anthropology, geography, economics, psychology, sociology, etc.) as well as basic health science and clinical researchers.

Individual level interventions need to integrate high-level mechanisms/influences in their analysis. Multi-level interventions means striking a balance between both individual level and higher order effects. Applicants can consider a number of study designs and approaches, including, but not limited to:

Use of novel or non-traditional theories (e.g., systems theory, ecological and multi-level intervention theory), methodologies (e.g., mixed methods, social network analysis, geographical information systems) and innovative measures.
Use of pragmatic study designs and flexible statistical approaches, employment of real world data, development of metrics for implementation and services outcomes, and secondary data analysis.
Testing of multi-level interventions that affect and inform public and health policy at the institutional, local, regional, state, and national levels, including natural experiments.
Testing of multi-level processes and factors critical for successful integration of evidence-based interventions within real-world clinical and public health settings (e.g., families, communities, worksites, and schools).
Determination of the most effective methods for conducting dissemination and implementation research in order to maximize population health impact.
Discussion of the population level of impact of the proposed intervention.
Inclusion of evaluation components (e.g., how these projects will be evaluated for project outcomes).
Investigation of the science or questions around scaling.

All interventions should include a component of translation and sustainability, in anticipation of the eventual termination of research support and planning for continuation and dissemination of successful programs. To support sustainability, projects that link to local policy efforts are highly encouraged.

Deadlines: standard dates apply

URLs:

Filed Under: Funding Opportunities