Group Technical Assistance Webinar August 5, 2015 - CFPHE RESEARCH METHODS FOR COMPARATIVE EFFECTIVENESS RESEARCH.

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Presentation transcript:

Group Technical Assistance Webinar August 5, CFPHE RESEARCH METHODS FOR COMPARATIVE EFFECTIVENESS RESEARCH

Session Objectives  Describe the scientific process and how this applies to CER.  Interpret where CER falls within the spectrum of different types of research.  Describe the difference between qualitative and quantitative data collection and what methods will produce which type of data.  Identify the type of research partners their project may require.  Plan for how to engage patients and/or community members as equal partners in research.

SCIENTIFIC PROCESS & CER

CER applies specific parameters to the Scientific Process Find a question or problem you want to address Hypothesize or think of possible answers Test your hypothesis through a standard protocol that collects unbiased data Analyze your data to see if you were right or wrong, and share what you learn Find a question that asks if one proven effective thing is better than another proven effective thing (comparators) for a specific group of people. Use your experience and evidence-based research to explain why you think one of the things will be better for the group of people than the other thing. Come up with a test or study to prove if your approach is right or wrong. Analyze your data and share what you learn with the world. Think about using what you learn to revise process, questions and tests to find the best answers for your group. Traditional Scientific Process CER Process

The CER Difference: A Cautionary Tale

What works?For whom? Under what circumstances? Compared to what?In real world settings

METHODS & STUDY DESIGNS

Quantitative & Qualitative Studies and Methods Quantitative studies look at things that can be expressed as a number Increased or decreased blood pressure levels More or less pain Higher or lower income Statistics are used to analyze data to make sure the numbers are meaningful. Qualitative studies look at things that cannot be expressed as a number Ideas that can be grouped into themes Stories that demonstrate an issue in a community Integration (or not) of something new into cultural norms Qualitative data cannot be analyzed with statistics. This data is most often used to describe why the statistics came out the way they did and to make the findings from a study meaningful to a population.

Small versus Big Studies  Small studies or tests are used to formulate ideas, learn more about an issues, gather input from people who the study impacts and generally lead to a more robust and relevant big study or test.  Pilot studies, feasibility tests, demonstration studies, etc. run tests or studies on small scales to see what problems might arise and fix them before going big.  Big studies take a sub-sample of a population that can statistically represent the entire population and use them to find the answer to the big question.  Both big and small studies can use statistics to prove that the findings are valid.

RESEARCH PARTNERS

Research Partners Researchers Define the way the question is answered by explaining the kinds of statistical methods are most appropriate and what types of measures have been proven to be able to answer the question. Find other research that can help answer the question or define the comparators in a CER study. Patients Define what is important to answer and how that answer will impact them. Provide input about if the methods used to collect and share data will work for them. Stakeholders Define how the question, comparators and results play out in the real world and existing systems that are in place. Find other resources and existing evidence to support and sustain the work.

All of these partners are needed to ensure the research will:  be accepted by the scientific community and they will move it forward  have the kind of impact desired by the population and will be used by the population  work within the systems and real world constraints that cannot be changed

Cross-training is important  Patients can be trained to understand systems, research protocols and the history of medical and research ethics. They can define and carry out portions of the research themselves which will ensure patients are not just research subjects.  Researchers can be trained to understand how the issue and research impacts patients and stakeholders so that their research is applicable to the real world and not just a lab setting.  Stakeholders can be trained to understand the how the systems and real world constraints they work within can be best represented in the research and how the findings can be used by the population.

Research PhasePossible roles for Patients, Researchers and Stakeholder Partners Formative stage Partners plan project, form team, and develop shared mission and decision- making structure Study selection/design Partners incorporate community priorities, insights, and assets, emphasizing rigor and community feasibility, acceptability, context, cultural factors, and local knowledge Funding Partners co-develop grant and equitable division of funds based on contributions to project Implement study, analyze and interpret data Partners collaborate on all efforts; traditional analysis supplemented with community-driven questions and local relevance of findings Disseminate Findings Partners are coauthors and co-presenters, disseminating to academics, research participants, involved communities, and policy makers Translate research into practice and policy Partners mobilize the community to use findings to advocate for policy change, enhance local resources, and improve local practices Sustain team, benefits, and resources Sustainability built into work from inception; partners honor initial commitment to continue partnership and work beyond funding cycle What roles allow partners to engage throughout the scientific process?

Resources Various trainings and tools from designed for community and academic partnerships Modules focus on the following topics: Formulate a Research Question, Study Designs, Statistical Data Analysis, and Proposal Development Research 101 Training & Resources Online training to help develop a foundational understanding of design and methods, and get all partners using a common language to discuss research Basic Research Concepts Training Online training modules about how to identify the best available evidence, searching scientific literature and more, designed for public health professionals and researchers Evidence-Based Public Health Course Online training modules about developing and using evidence-based research, including clinical trials and systematic reviews, designed for those newer to research research_and_evidence/story_html5.htmlhttp://training.cochrane.org/sites/training.cochrane.org/files/uploads/ALOIS_modules/making_sense_of_ research_and_evidence/story_html5.html Making Sense of Research and Evidence List of online courses, tools, literature reviews, and more about CBPR Helpful when seeking best practices for partner engagement throughout the process Community Based Participatory Research Resources Designed as a 5-day, 40-hour training to prepare community residents as lay researchers with the capacity to partner with academic researchers to co-design and co-implement health-related studies n.pdfhttps://ccph.memberclicks.net/assets/Conference/Presentations/highfield%20l_ccph2014_presentatio n.pdf Camp Boot Definitions of terms used by PCORI to provide parameters for scientific rigor in their funded research PCORI Methodology Report Glossary

Thanks for joining us! Upcoming Webinar on Patient Engagement: Thursday, August 13 at 12:30 pm MDT, 11:30 am PST QUESTIONS?