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.
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.
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.
During this webinar, Dr. Niven provides an overview of work on de-implementation while Dr. Norton provides cancer specific examples and insights. The session includes approximately 25 minutes of comments from the speaker and 35 minutes for engaged discussion and Q&A with the audience.
This webinar outlines successes, motivators, and challenges faced by early-stage investigators in the field. In response to audience feedback, the speakers touch on issues in implementation science, such as training, career development, and working with an active D&I funding portfolio with a focus on early and mid-career researchers.
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.
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.
Many instruments in HealthMeasures are based on item response theory (IRT). IRT is a family of mathematical models that assumes that responses on a set of items or questions are related to an unmeasured “trait”. An example of such a trait may be physical function. IRT models assume a person’s level on physical function (e.g., high vs. low) will predict that person’s probability of endorsing each specific item.
These modules are designed to complement the Measures Registry and Measures Registry User Guides and assist researchers and practitioners with choosing the best measures across the four domains of the Measures Registry: individual diet, food environment, individual physical activity and physical activity environment.
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.
In collaboration with other academic institutions, professional organizations, and funding agencies, the Implementation Science team coordinates and supports several training and educational activities, including a monthly webinar series, training programs, and an annual conference.
In this presentation, Dr. Gortmaker presents the latest findings from the Childhood Obesity Intervention Cost-Effectiveness Study (CHOICES) project. CHOICES is a collaborative modeling effort designed to evaluate the effectiveness, costs, and reach of interventions to reduce childhood obesity in the United States.
The NIH-Duke Master's Program in Clinical Research, established in 1998, is one of the nation's first training programs in clinical research. This program allows participants to attend formal courses in research design, research management, medical genomics, and statistical analysis at the Clinical Center by means of video-conferencing from Duke or on-site by adjunct faculty.
The program leads to a Master of Health Sciences in Clinical Research, a professional degree awarded by the Duke University School of Medicine. There is also a non-degree option for qualified students who want to pursue specific areas of interest.
Applications will be accepted through August 1, 2020.
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.
Dr. Sterman discusses systems approaches in public health, including the concepts of policy resistance, implementation feedbacks, and model boundaries and explores how these ideas can be applied to effect change in a complex system. He includes examples from healthcare and public health such as implementation of formulary drug lists and SARS epidemic modeling.
Dr. McLeroy discusses adoption of systems methodology, including multiple levels of analysis, utility for identifying points of change, testing models against reality, and applications to program evaluation and various research designs, including community-based participatory research and randomized clinical trials.
Dr. Karen Emmons and Dr. Lawrence Green discuss the interface between public health and implementation science, past, present, and future.
During this webinar, participants learn more about The Community Guide and activities underway to help communities use evidence-based recommendations and findings found in The Community Guide to take action and implement community health improvement activities in collaboration with health departments and other community partners.