Developing Research Questions and Study Plan Flashcards
What is the FINER criteria?
F - feasible I - interesting N - novel E - ethical R - relevant
Feasible
- Adequate number of subjects
- Perform a preliminary calculation of the sample size requirements of the study
» Statistical packages
» Sample size calculators
- Many studies do not achieve their intended purposes because they cannot enroll enough subjects.
» May sometimes be necessary to conduct a pilot survey or chart review to be sure. - If the number of subjects appears insufficient:
» Expand the inclusion criteria
» Eliminate unnecessary exclusion criteria
» Lengthen the timeframe for enrolling subjects
» Acquire additional sources of subjects by inviting colleagues to join in a multi-center study
» Use a different study design
- Adequate technical expertise
- Investigators should have the skills, equipment and experience needed for designing the study, recruiting the subjects, measuring the variables as well as managing and analyzing the data.
- Invite experienced colleagues to be involved in the study as co-investigators. - Affordable in time and money
- If the projected costs exceed the available funds, consider a less expensive design and identify additional sources of funding. - Manageable in scope
- Problems often arise when attempting to accomplish too much.
» Narrow the scope of the study
» Focus only on the most important goals
Interesting
- Speak with mentors and outside experts before devoting substantial energy to develop a research plan or grant proposal that peers and funding agencies may consider dull.
Novel
- Research question can be:
» Novel
» Find out whether a previous observation can be replicated
» Whether the findings in one population also apply to others
» Whether improved measurement techniques can clarify the relationship between known risk factors and a disease - Confirmatory studies are particularly useful if it avoids the weaknesses of previous studies.
Ethical
- IRB applications are required for all research studies involving human participants.
- If the study poses unacceptable physical risks or invasion of privacy, the investigator must seek other ways to answer the research question
Relevant
- Research question should have the potential to contribute to and extend the scientific body of knowledge.
- When relevance is uncertain, it is useful to discuss the idea with mentors, clinicians or experts in the field.
- A strong research question should always pass the ‘so what?’ test.
What does PICOT stand for?
Population - What specific (patient) population are you interested in?
Intervention - What is your investigational intervention?
Comparison - What is the main alternative to compare with the intervention?
Outcome - What do you intend to accomplish, measure, improve or affect?
Timeframe - What is the appropriate follow-up time to assess outcome?
Roadmap for determining and framing research questions
Step 1: Identify the research problem or idea
Step 2: Consider options for PICOT element for framing the question
Step 3: Focus the research question
Step 4: Check whether the question follows the FINER criteria
What are the things to take note of as one progresses from creating a research question to making a study objective?
Research question:
- A well thought-out focused research question leads directly into the hypothesis (e.g. FINER criteria, PICOT approach)
Hypothesis:
- A hypothesis is a speculative statement that suggests an answer to the research question (must be testable)
Study Objective:
- A study objective is the aim that the investigator sets out to achieve with the research (i.e. primary and secondary objectives)
What are the elements to take note of when developing a study plan?
- Research questions: What questions will the study address?
- Background and significance: Why are these questions important?
- Design (approach and timeframe): How is the study structured?
- Subjects (selection (inclusion and exclusion) criteria, sampling strategy): Who are the subjects and how will they be selected?
- Variables (predictor, outcome and confounding variables): What measurements will be made?
- Statistical issues (hypothesis, sample size, analytic approach) - how large is the study and how will it be analysed?