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 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.
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.
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.
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.
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.
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.
Measuring and projecting the economic burden associated with cancer and identifying effective policies for minimizing its impact are increasingly important issues for health care policymakers and health care systems at multiple levels.
Written by experts in health economics, epidemiology, health services research, health policy, and biostatistics, this publication highlights the multiple benefits of comparing patterns of cancer care, costs, and outcomes across health systems within a single country or across countries.
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.
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 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 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.
The program, intended for early stage research investigators, features lectures, mock grant review, seminars, and small group discussions on research relevant to minority health and health disparities. It also includes sessions with NIH scientific staff engaged in related health disparities research across the various institutes and centers.
Lectures and seminars include:
- Population science and health disparities
- Research design and measurement approaches
- Intervention Science methods
- Healthcare disparities and outcomes research
- Community-based participatory research
- Grant writing and mock grant review.
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.