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Evidence-based research and practice | Asking and answering clinical questions |
The 49 Clinical Questions series: Experts and practitioners ask a series of structured questions based on clinical scenarios.
Clinical questions can fall into two categories; (1) background questions, and (2) foreground questions. To examine how these questions can arise, let's consider the following patient encounter:
Clinical Scenario | |
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Treatment plan: corrective lenses and schedule a follow-up at which point you may prescribe an eyepatch. You now have some additional questions that you would like answered by the evidence, prior to the follow-up appointment. These clinical questions are background and foreground questions. |
Background questions help us improve our understanding of a topic. These types of questions ask for general knowledge about a condition or a thing.
Examples:
Foreground questions "ask for specific knowledge to inform clinical decisions or actions."2
These questions are usually more complex as they contain several concepts such as a specific population, intervention, comparison and outcome. The organization of these concepts in a clinical questions, is referred to as PICO. For example:
P | Population | Pediatric patient presenting with amblyopia |
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I | Intervention | Eye-patch |
C | Comparison | Glasses |
O | Outcome | Improvement of condition |
Example of a PICO-structured foreground question:
Is an eyepatch recommended for the treatment of a child with amblyopia who is already being treated with glasses?
Formulating complex PICO questions takes practice. If you need help, please contact the Optometry and Vision Science Librarian.
Filtered Information |
Filtered information, in this context, is pre-appraised evidence. To get filtered or “secondary” information, evidence from our primary literature is synthesized and evaluated. Those processes of evaluation, synthesizing data, and synopses take time and a lot work. Filtered literature will often provide a more definitive answer than individual research reports. |
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Unfiltered Information |
Unfiltered information includes original research studies that have not yet been synthesized or aggregated. As such, they can be more difficult to read, interpret, and apply to practice. Unfiltered does NOT mean that the research has not been peer-reviewed. This term refers to study design, not quality. |
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