Dr. Geoffrey Curran’s presentation addresses the topic of hybrid effectiveness-implementation studies, a set of approaches to simultaneously studying the effectiveness of health interventions and the strategies to implement them in community and clinical practice settings. His presentation unpacks the rationale for these designs, a typology of designs based on the state of science for a given intervention, and provides examples of studies utilizing these important methods.
The public funding of research includes many discrete components: setting research priorities; securing funds; funding research infrastructure; selecting and funding meritorious projects; conducting research; monitoring research progress; communicating research findings; and training researchers. This FAES survey course is deigned to review theories, methods, and practices in program and policy evaluation as they relate to research, particularly publicly funded biomedical research. The full range of the evaluation hierarchy (needs assessment and program planning, feasibility and implementation evaluation, process evaluation, and outcome and impact evaluation) is considered as students will be guided to develop a comprehensive framework for the evaluation of federally funded biomedical research.
In this Methods: Mind the Gap webinar, Dr. David MacKinnon describes mediation analysis methods with attention to solutions for some of the limitations of these methods. He also discussed future directions in mediation theory and statistical analysis.
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.
This webinar presents insights from a National Academies report exploring how reports on obesity prevalence and trends differ and what these differences mean for interpretation and application. Speakers provide an overview of the various data collection and analysis approaches that have been used across population groups, but particularly as they relate to children and adolescents.
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 series of six webinars related to designing clinical trials to include patient-reported outcomes. The videos in the series may be viewed in any order.
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.
In this Methods: Mind the Gap webinar, Dr. Stuart G. Baker focuses on the method of latent class instrumental variables (often called the LATE or CACE approach). He discusses how to estimate the effect of treatment received (in the complier latent class) in a randomized trial with all-or-none compliance.
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.
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, Dr. Melody S. Goodman discusses her efforts to develop and validate quantitative measures of stakeholder engagement in research and research literacy. Emerging data suggest a valid and reliable measure to accurately assess associations between research outcomes and stakeholder engagement. Data on the measure of research literacy show mixed results and Dr. Goodman discusses potential areas for modification.
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.
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.
In this introductory FAES Graduate School class, students learn the foundations of health economics and econometric modeling and apply them to the evaluation of biomedical research and public health programs.