Research Series: Research Design and Methods, Part 2 Paul A. Estabrooks, PhD Objectives • Describe the purpose of cohort studies. • Describe cohort studies • Describe case control studies • Describe randomized controlled trials. • Balancing internal and external validity Quick Review • Independent variable • The manipulated variable that determines a change in the dependent variable (or outcome). • Dependent variable (objective; subjective) • The outcome variable that is hypothesized to depend on the context of the independent variable. • Qualitative research • Focus is on exploration and context • Quantitative research • Focus is on a quantifiable outcome • Mixed methods Planning your study Who is your target audience: Inclusion criteria Exclusion criteria Are they easily identified? Do YOU have access to the population or information? How will you recruit your sample? Can YOU do it or do you have someone that can do it? How will you determine if the sample is representative of the target population? Planning your study What are the patient outcomes you are interested in changing? Are these data readily available to you? In the medical record? Who (and how) will the data be gathered? Will you use any qualitative data? Who will implement your intervention? Is anyone else affected by the changes you plan to make? How will you determine if the intervention is delivered with fidelity? Planning your study How will you assess sustained patient changes? How will you assess sustained changes in practice procedures? How does your research question align with Carilion Clinic’s mission? Understanding type 1, 2, & 3 error Type 1 error (related to probability): An intervention or exposure is unrelated to the dependent variable, but the study suggests it is. Type 2 error (related to power): An intervention or exposure is related to the dependent variable, but the study suggests it isn’t Type 3 error (related to implementation): An intervention or exposure is related to the dependent variable, but was not implemented as intended and findings are non-significant Research Designs What is a cohort study? Advantages? One or more samples Prospective Relationship between outcomes and exposure is assessed Can match subjects on characteristics Typically uses available outcome data (efficient) Good for examining different exposures over time Disadvantages? Susceptible to unrecognized confounding variables Infer rather than determine causality 0.5 0 Average Weight Loss -0.5 Pounds -1 -1.5 Matched Control-Group Visit -2 -2.5 -3 Intervention -3.5 IFG to Class 9 Class to 3 Months 3 to 6 Months 6 to 9 Months 6 to 12 Months Research Designs What is a case control? Advantages? Cohort of cases and a cohort of controls Observational and Retrospective Relationship between risk factors and outcomes as odds ratios Good for identifying potential patterns of risk factors and outcomes Uses available outcome data (efficient) Can examine multiple independent variables (risk factors) at the same time Disadvantages? Susceptible to unrecognized confounding variables If recall is used—potential memory biases Infer rather than determine causality 11 12 Research Designs What is a Randomized Controlled Trial? Advantages? At least 2 groups (experimental and control) Prospective Causation between the independent variable and the outcome Randomization reduces likelihood of confounding Well developed statistical procedures Stronger causal inference Disadvantages? External validity is typically low High participant burden and resultant attrition Really expensive to conduct Move More Target audience: Insufficiently active adult patients. Recruitment: Waiting room PA screener, Physician referral, & active outreach call from health educator Participants were randomly assigned to the teambuilding or enhanced standard care control. N=56 Health Educators Health Educators interested N=36 R ALED N= 18 Fit Ex N=18 Telephone Introduction Online Training In person training 64% Adoption at study level No significant diffs between adopters and non adopters Delivery agent training and delivery * *χ2(1)=7.2, p<.01 Balancing Internal and External Validity In case control, cohort, and RCTs it is important to consider three temporal issues: Reach Implementation (initial and ongoing) Initial number, proportion and representativeness of your sample relative to the target population Ongoing number, proportion and representativeness based on exposure Degree to which exposure is consistent For RCTs or cohort trials intervention delivery as intended Cost and resource needs Effectiveness Changes in dependent variable (initial and beyond exposure) Changes in quality of life Monitoring potential negative outcomes Let’s get back to your designs! What is the best design for your work? What are some new things you should think about based on todays information? What adaptations should you make to improve either internal or external validity
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