Developing Research Questions and Study Plan Flashcards

1
Q

What is the FINER criteria?

A
F - feasible 
I - interesting 
N - novel 
E - ethical 
R - relevant
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2
Q

Feasible

A
  1. 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
  1. 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.
  2. Affordable in time and money
    - If the projected costs exceed the available funds, consider a less expensive design and identify additional sources of funding.
  3. 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
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3
Q

Interesting

A
  • 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.
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4
Q

Novel

A
  • 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.
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5
Q

Ethical

A
  • 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
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6
Q

Relevant

A
  • 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.
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7
Q

What does PICOT stand for?

A

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?

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8
Q

Roadmap for determining and framing research questions

A

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

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9
Q

What are the things to take note of as one progresses from creating a research question to making a study objective?

A

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)

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10
Q

What are the elements to take note of when developing a study plan?

A
  1. Research questions: What questions will the study address?
  2. Background and significance: Why are these questions important?
  3. Design (approach and timeframe): How is the study structured?
  4. Subjects (selection (inclusion and exclusion) criteria, sampling strategy): Who are the subjects and how will they be selected?
  5. Variables (predictor, outcome and confounding variables): What measurements will be made?
  6. Statistical issues (hypothesis, sample size, analytic approach) - how large is the study and how will it be analysed?
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