Source: Empire State Public Health Training
Type : Online course
Level : Basic
Description:
From the course overview:
“This course serves as a primer for illustrating the root causes that shape health and health disparities. In addition to describing the complex interplay of social conditions associated with health disparities, it also provides a framework for exploring public and community health frameworks for addressing health equity.”
*This class requires PHTC login registration
Source: Tufts Clinical and Translational Science Institute
Type: Online Course
Level: Intermediate
Description: This is an online course of 15 two hour lectures on Comparative Effectiveness Research. “Nationally renowned CER experts describe the current state of CER, define CER tools, and explain state-of-the-art CER methodologies”. CE credit is available.
Source: Clinical Trials Network
Type: Online Course
Level: Basic
Discription: Clinical Trials Network (CTN): Best Practices; Duke University
Source: Tufts Clinical and Translational Science Institute
Type: Online Course
Level: Advanced
Description: “After completing this lecture, you will be able to:
Show how the probability of a diagnosis is affected by a test result, sensitivity, and specificity
Describe how evidence can be integrated using decision trees
Illustrate the concept of threshold probabilities and their implications
Discuss how sensitivity analyses are performed and what they mean
Explain how patient preferences (utilities or values) can be integrated into patient-centered choices using decision analysis
Identify different types of economic analyses in comparative effectiveness research
Explain how to calculate incremental cost-effectiveness
List how cost-effectiveness analysis is being used for technology assessment”
Source: Tufts Clinical and Translational Science Institute
Type: Online Course
Level: Intermediate
Description: “After completing this lecture, you will be able to:
List the reasons for conducting systematic reviews
Appreciate the role of systematic review in CER
Describe the components of a systematic review
State the role of analytic frameworks in systematic review and the approach to formulate answerable systematic review questions
Identify the users and producers of systematic reviews
Define the basic principles of combining data
Identify the common metrics for meta-analysis
List the basics of combining results across studies and effects of weights
Explain the meaning of heterogeneity
Discuss the fixed effect and random effects model
Interpret meta-analysis results”
Source: Tufts Clinical and Translational Science Institute
Type: Online Course
Level: Intermediate
Description: “After completing this lecture, you will be able to:
State the limitations of randomized controlled trials
Identify the settings in which observational studies of comparative effectiveness may be particularly helpful to clinicians and policymakers
Explain the methodological challenges in conducting retrospective, observational CER using existing sources of data
Describe model-based and other approaches to reduce the effects of confounding in observational CER
Discuss specific examples of retrospective and observational CER, and how these have informed public policy and healthcare delivery system change
List key aspects and the steps of a systematic review
Identify the methodological and inferential challenges of longitudinal observational studies of health outcomes and delivery system change”
Source: Tufts Clinical and Translational Science Institute
Type: Online Course
Level: Advanced
Description: “After completing this lecture, you will be able to:
Identify the limitations of applying the overall results of clinical trials to individual patients
Discuss how summary results of individual trials might not even reflect the benefits of typical patients in the trial
Explain how subgroup analyses are prone both to false-positive and false-negative results
Illustrate approaches that might lead to more credible and actionable subgroup results
Express why multidimensional risk models may have advantages over conventional “one-variable-at-a-time” subgroup analysis
Determine some of the limitations of using genetic information as a basis for exploring heterogeneity of treatment effect”
Source: Tufts Clinical and Translational Science Institute
Type: Online Course
Level: Intermediate
Description: “After completing this lecture, you will be able to:
Identify the need for comparative effectiveness trials, even for drug therapies where “”proof of efficacy”" is already required prior to approval
Explain the differences between pragmatic/effectiveness trials and explanatory/efficacy trials
List the strengths and limitations of pragmatic versus explanatory designs
State the strengths and limitations of various types of outcome measures, including surrogate versus clinical outcomes
Explain the difference between prognostic and predictive genetic markers
Identify the pros and cons of alternative research designs for assessing pharmacogenetic (predictive) effects
Discuss “repurposed” randomized trials for assessing pharmacogenetic effects
Define empirical data”
Source: Tufts Clinical and Translational Science Institute
Type: Online Course
Level: Intermediate
Description: “After completing this lecture, you will be able to: List the principles of Evidence-Based Medicine (EBM), state how CER extends the principles of EBM, describe a framework for understanding the CER agenda, and identify the stakeholders of CER”.
Source: Tufts Clinical and Translational Science Institute
Type: Online Course
Level: Intermediate
Description: “After completing this lecture, you will be able to:
Define CER based on standard definitions and the typical activities that it encompasses
Review the motivations, accomplishments, and impediments for CER
Describe how CER is supported in the United States now and how the new Patient-Centered Outcomes Research Institute will support CER
Identify the roles for CTSAs in facilitating and implementing CER
Discuss specific needs, next steps, and the future of CER
Identify the forces shaping national priorities for CER in the United States
Explain the current CER landscape in the United States
Compare and contrast comparative effectiveness and cost-effectiveness research”
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