CTSA Program Publications

Introduction: Early life exposures affect health and disease across the life course and potentially across multiple generations. The Clinical and Translational Research Institutes (CTSIs) offer an opportunity to utilize and link existing databases to conduct lifespan research.

The Vanderbilt Institute for Clinical and Translational Research implemented the "Studio" Program in 2007 to bring together experts to provide free, structured, project-specific feedback for medical researchers.

Electronic Health Record (EHR) systems typically define laboratory test results using the Laboratory Observation Identifier Names and Codes (LOINC) and can transmit them using Fast Healthcare Interoperability Resource (FHIR) standards. LOINC has not yet been semantically integrated with computational resources for phenotype analysis.

Introduction: There is a clear need to educate and train the clinical research workforce to conduct scientifically sound clinical research.

No abstract

OBJECTIVES/GOALS: Innovations with positive health impact are a high priority for NCATS and CTSAs. Program design that uses the Causal Pathway approach incorporates performance indicators that assess impact. We applied Causal Pathway thinking to an ongoing national program to enhance the evaluation of program impact. We report Lessons Learned.

Purpose

The National Center for Advancing Translation Science (NCATS) is implementing a new strategic management plan called the results-based accountability framework. This framework is part of the common metrics initiative. For successful implementation and adoption of new management strategies, it is important to assess current stakeholders’ experiences and needs.

Methods

Background

Translational research is a key area of focus of the National Institutes of Health (NIH), as demonstrated by the substantial investment in the Clinical and Translational Science Award (CTSA) program. The goal of the CTSA program is to accelerate the translation of discoveries from the bench to the bedside and into communities.

Advancing understanding of human health promotion and disease prevention and treatment often requires teamwork.

Emphasis has been placed on assessing the efficiency of clinical and translational research as part of the National Institutes of Health (NIH) goal to "improve human health." Improvements identified and implemented by individual organizations cannot address the research infrastructure needs of all clinical and translational research conducted.

To respond to increased public and programmatic demand to address underenrollment of clinical translational research studies, the authors examined participant recruitment practices at Clinical and Translational Science Award (CTSA) sites and make recommendations for performance metrics and accountability.

Introduction: Addressing rural health disparities has unique challenges which require cross sector collaborations to address social determinants of health and help those in need get connected to care continuum.

Health information technology (HIT) can address important problems in clinical care and biomedical research. These problems include lack of compliance with clinical practice guidelines [1], insufficient use of preventative medicine services [2] and numerous impediments to clinical/translational research [3].

To probe the complexity of modern diseases, multidisciplinary approaches are increasingly applied. Typically underpinning such studies are collaborations between wet bench experimentalists and dry lab bioinformaticians. Despite the need, bioinformatics collaborators remain difficult to find.

We report the development of the Translational Science Benefits Model (TSBM), a framework designed to support institutional assessment of clinical and translational research outcomes to measure clinical and community health impacts beyond bibliometric measures.

Purpose

The authors evaluated publication and citation patterns for articles supported by Clinical and Translational Science Awards (CTSA) hub investment over the first decade of the CTSA program.

Electronic health records (EHRs) provide great promise for identifying cohorts and enhancing research recruitment. Such approaches are sorely needed, but there are few descriptions in the literature of prevailing practices to guide their use. A multidisciplinary workgroup was formed to examine current practices in the use of EHRs in recruitment and to propose future directions.

ABSTRACT
Introduction: NIH Clinical and Translational Science Awards (CTSAs) include KL2 mentored career development awards for faculty commencing clinical and translational research. A survey of KL2 leaders revealed program practices, curricular elements and compelling data about scholar characteristics and outcomes.

The purpose of the article is to describe the progress of the Clinical and Translational Science Award (CTSA) Program to address the evaluation-related recommendations made by the 2013 Institute of Medicine's review of the CTSA Program and guidelines published in CTS Journal the same year (Trochim et al., Clinical and Translational Science 2013; 6(4): 303-309).