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Updated: Jun 11, 2025

Oral Health Assessment by Lay Personnel for Older Adults
Published on: February 2, 2020
Utilisation of a think-aloud protocol to validate a self-reported periodontitis questionnaire
Vanaja Krishna-Naik1, Amy Palmer2, Nicholas A Hodson1
1Department of Restorative Dentistry, School of Dentistry, Faculty of Medicine & Health University of Leeds, Level 6, Worsley Building, Clarendon Way, Leeds LS2 9LU, UK.
Self-reported periodontitis questionnaires are useful for large surveys but require cognitive validation. This study found most questions were understood, though some require rephrasing to improve accuracy in epidemiological research.
Area of Science:
- Oral health research
- Epidemiology
- Cognitive psychology
Background:
- Diagnosing periodontitis typically involves clinical and radiographic methods, which are resource-intensive.
- Self-reported questionnaires offer a scalable alternative for population-level assessments.
- Cognitive validation of these questionnaires is crucial but underexplored.
Purpose of the Study:
- To cognitively validate a self-reported periodontitis questionnaire using a think-aloud approach.
- To assess participant interpretation and comprehension of questionnaire items.
- To identify potential sources of information bias in self-reported data.
Main Methods:
- 20 UK-based English speakers participated in online think-aloud interviews.
- A 15-item self-reported periodontitis questionnaire with 2 open-ended questions was used.
- Interviews were transcribed, coded for comprehension, and analyzed using content analysis.
Main Results:
- Most questionnaire items were well understood by participants.
- Two specific items were identified as problematic: one misinterpreted, one poorly understood.
- Content analysis of open-ended questions corroborated think-aloud findings, informing revisions.
Conclusions:
- The think-aloud method effectively revealed participant understanding of periodontitis questionnaire items.
- Identified question ambiguities may explain lower sensitivity in self-reported data.
- Ensuring clear question comprehension is vital to minimize information bias in epidemiological surveys.
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