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.
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 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.
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.
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.
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.
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.
The objective of this FAES Graduate School course is to learn the concepts and methodology used in the design and conduct of randomized clinical trials. Topics to be covered will include description of the main types of trial designs, principles of randomization and stratification, issues in protocol development (defining objectives and endpoints, blinding, choice of control), recruitment and retention, data collection and quality control issues, monitoring, and analyses of trials reports.
This week-long immersion program provides 30 selected investigators with a thorough introduction to selected mHealth methodologies that may be used to study behavioral and social dimensions of public health. Participants work with expert mentors to create their own inter-disciplinary mobile health projects.
The mHealth training institute is funded via the NIH BD2K Program. The NIH BD2K Program is funded by all the NIH Institutes and Centers and receives support from the NIH Common Fund and the NIH Office of Behavioral Health and Social Sciences Research (OBSSR).
In this webinar, Dr. Larry Palinkas introduces the use of mixed method designs in research on three interrelated facets of evidence-based practices implementation: provider social networks, use of research evidence, and cultural exchange between researchers and practitioners. Dr. Palinkas explains the multiple strategies through which qualitative and quantitative research methods can converge, specifically highlighting their use within three funded research studies of implementation.
The NINDS Clinical Trials Methodology Course (CTMC) is an intensive, engaging program designed to help junior investigators develop scientifically rigorous, yet practical clinical trial protocols, and to focus on early consideration of funding mechanisms as a key trial planning activity.
The NIH Disaster Research Response Program (DR2) is the national framework for research on the medical and public health aspects of disasters and public health emergencies. The DR2 website, provided by the National Institute of Environmental Health Sciences and the National Library of Medicine, supports disaster science investigators by offering data collection tools, training and exercises, research protocols, disaster research news and events, and more.
The NINR Big Data in Symptoms Research Boot Camp, part of the NINR Symptom Research Methodologies Series, is a one-week intensive research training course at the National Institutes of Health (NIH) in Bethesda, Maryland. It provides a foundation in methodologies for using Big Data in research. The purpose of the course is to increase the research capability of graduate students and faculty.
Motivated by the analysis of intensive care unit data, this talk discusses new methods to automatically extract causal relationships from data and how these have been applied to gain new insight into stroke recovery. Finally, the speaker discusses recent findings in cognitive science and how they can help us make better use of causal information for decision-making.
This is an online course meant to help researchers design and analyze trials involving groups or clusters.
Dr. Doug Luke provides a general overview of agent-based modeling (ABM) methods, and then discusses in more detail the utility of these methods for studying the design and implementation of new policies and practices related to chronic diseases, including obesity and tobacco control. The specific advantages of ABMs for dissemination and implementation science are also highlighted.
In this supplemental journal issue, Hughes et al., extend existing analysis and sample size estimation guidance for addressing treatment effects that vary over time to cohort stepped-wedge group-randomized trial designs, using the example of a trial to evaluate a multilevel intervention to address health disparities in blood pressure control.
Dr. Amy Kilbourne introduces the SMART design as well as other adaptive design variations to inform the development of adaptive interventions. Dr. Kilbourne explains the use of the designs in intervention trials, walks through their applicability to implementation studies, discusses differences between adaptive designs and adaptive interventions, and concludes with examples from her work of how adaptive designs have permitted the testing of implementation strategies.