Carefully describing your study population through inclusion and exclusion criteria increases the chances that your results will be reliable and reproducible.
- What are the characteristics of participants needed for your study? Consider the variables you wish to include in your study. It may help to think through inclusion criteria first; inclusion criteria may be thought of as a potential subject’s ticket through the door for consideration in your study (common factors: age, gender, stage of disease, etc). Next, think through any factors that would disqualify participants from being a good fit for your study (e.g. comorbidities, current medications etc.).
- The IT data analysis form, which you complete to obtain data, requires specifics on the population within the EMR or data registry.