Applying Models and Frameworks to Dissemination and Implementation (D&I) Research: An Overview & Analysis
Part of a joint presentation, Dr. Rachel Tabak presents a review which uses snowball sampling to develop an inventory of models, synthesizes this information, and provide guidance on how to select a model. Dr. Ted Albert Skolarus discusses an examination of citation frequency and impact of D&I models using citation analysis.
In this Methods: Mind the Gap webinar, Dr. Jason Moore reviews the new discipline of automated machine learning (AutoML). The goal of AutoML is to simplify the process of combining different types of algorithms and methods in an analytical pipeline and to make machine learning more accessible.
Balancing Fidelity & Adaptation: If We Want More Evidence-Based Practice, We Need More Practice-Based Evidence
In this webinar, Drs. Larry Green and Rachel Gold deliver a joint presentation on fidelity and adaptation. Fidelity and adaptation relate to the manner in which the evidence from a research study is brought to practice. There is fidelity if the program is implemented in a way that is very similar to how it was originally designed, and there is adaptation when there are changes made to the process and content of the program to fit to a particular context. In most cases, contextual factors can influence the ability to maintain fidelity as well as the need for adaptation.
A collection of online chapters that provide an introduction to selected behavioral and social science research approaches, including theory development and testing, survey methods, measurement, and study design. eSource was developed in 2010, and these chapters have not been updated to reflect advances in the past decade. However, they can still be used as supplementary teaching materials.
A report that provides guidance to NIH investigators on how to rigorously develop and evaluate mixed methods research applications.
Big Data and the Promise and Pitfalls When Applied to Disease Prevention and Promoting Better Health
How disruptive will Big Data be in the long run to biomedical research and health care? In his Methods: Mind the Gap webinar, Dr. Philip Bourne addresses this question in light of the Big Data to Knowledge (BD2K) initiative and other trans-NIH data science programs.
This archive provides a collection of webinars on methodology. The topics include HIV prevention, implementation methods, personalized medicine, complexity, and longitudinal data. In 2017, the Office of Disease Prevention (ODP) provided co-funding to the Center for Prevention Implementation Methodology to help create this archive.
A collection of training modules that came out of the NIH's initiative to enhance rigor and reproducibility in the research endeavor. The modules were developed by the NIH or NIH-funded grantees and focus on a variety of topics, including integrating sex and gender into research, the design and analysis of group-randomized trials, and computational analyses.
This one-day workshop explores challenges and strategies for design and analysis of embedded pragmatic clinical trials (PCT) that are conducted within health care systems.
In this Methods: Mind the Gap webinar, Dr. David M. Murray reviews the options available to evaluate multilevel interventions, including group- or cluster-randomized trials, and discusses their strengths and weaknesses.
In this Methods: Mind the Gap webinar, participants learn what the field of dissemination and implementation (D&I) is, why it is important, what it is trying to achieve, and how it is relevant to research and practice. Dr. Fernandez discusses the major components of a D&I study, D&I theories, models and frameworks, and design considerations. She also teaches participants how to tailor their own research to better enhance its value for dissemination and implementation.
This purpose of this Methods: Mind the Gap webinar is to equip public health researchers and practitioners with awareness and confidence in approaching and conducting qualitative research projects, and to familiarize participants with qualitative data collection and data analysis techniques and tools.
In this Methods: Mind the Gap presentation, Dr. Jeffrey Sparks illustrates how epidemiologic and patient-oriented research studies can further the understanding of etiology and outcomes of rheumatoid arthritis (RA), a common chronic disease. Different study designs are needed to investigate different types of exposures and outcomes. This presentation discusses studies related to lifestyle factors, genetics, biomarkers, comorbid conditions for RA risk, and outcomes, focusing in particular on how inflammation in the lung may be a nidus for both RA onset and worsened clinical outcomes.
The objective of this FAES Graduate School is to provide a deeper understanding of epidemiologic research methodology that can be used to interpret critically the results of epidemiologic research. This understanding is the result of investigating conceptual models for study designs, disease frequency, measures of association and impact, imprecision, bias, and effect modification. The course emphasizes the interpretation of research, even when the design or execution of the respective research is less than ideal.
From Purchase to Plate: Linking USDA Nutrition Data with Retail Scanner Data to Assess the Healthfulness of America’s Food-at-Home Purchases
On May 23, 2019, NCCOR hosted a Connect & Explore webinar to discuss the findings in a recent publication from the U.S. Department of Agriculture Economic Research Service called “Linking USDA Nutrition Databases to IRI Household-Based and Store-Based Scanner Data.” USDA researchers created a purchase-to-plate “crosswalk”—linking USDA data and household retail scanner data—to measure the overall healthfulness of American’s food-at-home (FAH) purchases. Results show that improvements in the healthfulness of Americans’ FAH purchases are needed to comply with federal dietary guidance. The speaker is Andrea Carlson, PhD, MS,an economist in the Food Markets Branch of the Food Economics Division.
Geospatial Data for Healthy Places: Building Environments for Active Living Through Opportunistic GIScience
In this Methods: Mind the Gap presentation, Dr. Miller discusses the role of geospatial technologies and data in facilitating quasi and natural experiments about built environment factors that encourage active living. He also extends this idea to the concept of geographic information observatories: systems for ongoing data collection and analysis that facilitate opportunistic science that can leverage real-world events via ongoing observation, experimentation, and decision-support.
During this webinar, Drs. Proctor and Brownson discuss characteristics of high-impact implementation science as well as efforts to build capacity of the field through D&I research training. They present their take on the potential of the field, current limitations, and how efforts to build capacity can lead to the next set of advances.
In his webinar, Dr. Powell describes the development and refinement of a compilation of implementation strategies, emphasizes the importance of carefully specifying and reporting implementation strategies to ensure replicability, and discusses ongoing work focusing on the development of more effective ways of tailoring implementation strategies to specific contexts.
Improving the Efficiency of Prevention Research Using Responsive and Adaptive Survey Design Techniques
In this Methods: Mind the Gap presentation, Dr. Wagner starts from a definition of the basic principles of responsive and adaptive designs and then provides concrete examples of the implementation of these designs. These examples are drawn from a variety of settings, including face-to-face, telephone, and mixed-mode surveys.
In his Methods: Mind the Gap presentation, Dr. Robert Califf discusses the role and value of clinical trials in medical research given the rapid evolution of the science of clinical trials.