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Demonstration and educational project by Danielle Boyce. Not medical, legal, or regulatory advice. Sample and template language is provided for illustration and must be reviewed and adapted before any real use. Not affiliated with, endorsed by, or representing any advocacy group, registry, company, or institution named.
Module 11 of 19Part 3 · Data Collection

Designing Questionnaires

Goal: Design questionnaires that produce high-quality, analyzable data, and that participants actually complete.

The questionnaire design imperative

A poorly designed questionnaire produces poor data. The most common problems:

  • Too long, Completion rates drop dramatically beyond 15 to 20 minutes
  • Ambiguous questions, "How severe are your symptoms?" means different things to different people
  • Double-barreled questions, "Do you have pain and fatigue?" cannot be answered with a single yes/no
  • Custom scales instead of validated instruments, Produces uninterpretable data
  • No skip logic, Showing irrelevant questions wastes participant time and increases abandonment

Use validated instruments wherever possible

Always search for a validated instrument before writing a custom question.

A validated instrument has been:

  • Developed with participant and clinician input
  • Tested for reliability (consistent results across administrations)
  • Tested for validity (actually measures what it claims to measure)
  • Normed against a reference population
  • Accepted by journals and regulatory agencies

Key validated instrument libraries

PROMIS (NIH): Physical function, fatigue, pain, sleep, anxiety, depression, social participation
healthmeasures.net

EQ-5D: Generic health related quality of life; widely used in health economics
euroqol.org

SF-36 / RAND-36: General health status
rand.org/health-care/surveys_tools/mos/36-item-short-form.html

NIH Toolbox: Cognitive, emotional, motor, and sensory function
nihtoolbox.org

Participant-specific instruments: Many diseases have gold-standard disease specific instruments. Your SAB should identify these.

Question types and best practices

Response scales

For symptom severity, use numeric rating scales (NRS) or Likert scales, not free text.

  • NRS 0 to 10: "On a scale of 0 to 10, how severe is your pain today?", Simple, widely understood
  • Likert (5-point): Never / Rarely / Sometimes / Often / Always, Good for frequency
  • Visual analog scale (VAS): Continuous line from "None" to "Worst imaginable", More sensitive but harder to implement on paper

Date questions

For onset dates, provide a structured date picker with a "year only" or "approximate" option, many participants know the year of symptom onset but not the exact date. A "don't know / unsure" option is essential.

Branching logic

Use skip logic so participants only see relevant questions:

  • "Have you ever had seizures?" → If NO, skip to next section
  • "What medications are you currently taking?" → If NONE, skip medication detail section

Cognitive burden

  • Use plain language (aim for 6th grade reading level)
  • Avoid medical jargon; define terms when needed
  • Group related questions in logical sections
  • Provide progress indicators on long questionnaires
  • Offer "save and return later" for multi-section forms

Questionnaire development process

  1. Draft based on scientific questions and SAB input
  2. Participant review, share draft with 3 to 5 participants for comprehension testing
  3. Cognitive interviewing, ask participants to "think aloud" as they answer questions
  4. Pilot test with 20 to 50 participants; measure completion rate and time
  5. Analyze pilot data, Are there items with very high "don't know" or skip rates? Do items perform as expected statistically?
  6. Revise based on pilot findings
  7. Final SAB approval

Frequency and burden management

  • Enrollment questionnaire: Budget 20 to 30 minutes maximum for core elements
  • Annual/biannual follow up: 10 to 15 minutes
  • Brief check-ins: 5 minutes or less for high-frequency (quarterly or monthly) touchpoints

Shorter and more frequent is often better than long and infrequent, and yields better longitudinal data.

Key resources

← Module 10 | Module 12: Verifying Clinical Data →