Research question formulation

Research question formulation

Research question formulation

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Research Question - FINER is Finer

A well-formulated research question is the foundation of a study. Use the FINER criteria to evaluate its quality.

📌 FINER Mnemonic:

  • Feasible: Can it be done? Considers sample size, resources (time, money), and technical expertise.
  • Interesting: Is it intriguing to the investigator and the scientific community?
  • Novel: Does it confirm, refute, or extend prior findings? Avoids unnecessary duplication.
  • Ethical: Can it be safely conducted? Must be approvable by an Institutional Review Board (IRB).
  • Relevant: Will the results impact scientific knowledge, clinical practice, or health policy?

FINER criteria for research questions

⭐ A strong research question often evolves from a PICO formulation: Patient/Population, Intervention, Comparison, Outcome.

Question Structure - The PICO Punch

PICO question formulation considerations

A well-structured research question is the cornerstone of evidence-based medicine, guiding study design and literature searches. The 📌 PICO framework provides a mnemonic for formulating answerable clinical questions.

  • P - Patient, Population, or Problem
    • Defines the specific group of interest. (e.g., adult patients with type 2 diabetes)
  • I - Intervention or Exposure
    • The main treatment, diagnostic test, or exposure being considered. (e.g., treatment with metformin)
  • C - Comparison or Control
    • The alternative to the intervention. (e.g., placebo, standard care like diet and exercise, or another drug)
    • Note: Not always necessary for all question types (e.g., prognosis questions).
  • O - Outcome
    • The result or effect being measured. (e.g., change in HbA1c levels, incidence of cardiovascular events)

⭐ A precisely formulated PICO question is the most critical step for a high-quality literature search (like in PubMed) and for defining the scope of systematic reviews and meta-analyses.

Hypothesis - Null's the Word

  • Null Hypothesis ($H_0$): Assumes no relationship or difference between groups. It's the baseline or "status quo" assumption. E.g., "New drug has no effect."
  • Alternative Hypothesis ($H_1$): Contradicts the null. States that a relationship does exist. This is the researcher's claim. E.g., "New drug is better than placebo."
    • Can be one-sided (specifies direction, e.g., >) or two-sided (specifies a difference, e.g., ≠).
  • Goal of Testing: Not to prove $H_1$, but to gather enough evidence to reject $H_0$. 📌 Think: "Innocent ($H_0$) until proven guilty."

Null vs. Alternative Hypothesis Population Distributions

⭐ The p-value is calculated assuming $H_0$ is true. It's the probability of getting your study results (or more extreme ones) purely by random chance if the null were correct.

High‑Yield Points - ⚡ Biggest Takeaways

  • A strong research question is the essential foundation for a valid study.
  • Use the FINER criteria to develop a question: Feasible, Interesting, Novel, Ethical, and Relevant.
  • The PICOT framework is key for structuring clinical questions.
  • Population, Intervention, Comparison, Outcome, and Timeframe.
  • A well-defined question dictates the appropriate study design and prevents ambiguity in results.

Practice Questions: Research question formulation

Test your understanding with these related questions

An investigator is measuring the blood calcium level in a sample of female cross country runners and a control group of sedentary females. If she would like to compare the means of the two groups, which statistical test should she use?

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Flashcards: Research question formulation

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_____ studies are observational studies that compare a group of people with disease to a group without disease

TAP TO REVEAL ANSWER

_____ studies are observational studies that compare a group of people with disease to a group without disease

Case-control

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