Development and Validation of the “Basic Oral Health Assessment Tool” (BOHAT) for Nondental Health Care Professionals to Use With the Indian Adult Population: Protocol for a Mixed Methods Study
Bibliographic record
Abstract
BACKGROUND: Oral health is a significant indicator of general health, well-being, and quality of life. The prevention of oral health problems requires periodic inspection of the oral cavity. Routine oral health examinations at the individual level appears to be one way to deliver quality oral health care but are too often missed as an opportunity for improved oral health in the nondental health care setting in India. This is because of limited training and inaccessible or lack of specialized oral health assessment tools. OBJECTIVE: This study will focus on the development, validation, and implementation of the Basic Oral Health Assessment Tool (BOHAT) to improve the oral health assessment capabilities of nondental health care professionals and thus contribute to improved overall health outcomes of the Indian adult population. METHODS: This study will be a mixed methods, multistage study conducted in 3 stages. The study will be conducted with 708 nondental health care professionals in 33 Primary Health Centers (PHCs) of Mangalore Taluk, Karnataka. Ethical approval was sought from the institutional ethics committee of Manipal College of Dental Sciences Mangalore. Informed consent will be obtained from every participant prior to the study. A literature review and qualitative interviews will be used for item and domain generation with respect to BOHAT, and an expert panel review and pilot testing will be used to refine the items and domains. Finally, statistical analyses will be conducted to validate the reliability and consistency. The second phase will involve capacity building and user experience exploration through comprehensive training for nondental health professionals using audio and visual aids, with hands-on learning methodologies including relevant feedback processes in the form of focus group discussions. The third stage will check the effectiveness of BOHAT regarding the changes in knowledge, attitudes, and practices through pre- and posttraining questionnaires, which will then be followed by a retention analysis 3 months later. RESULTS: As of January 20, 2025, the study is in its preliminary phase: "Substage A: Item and Domain Development." We have received institutional ethics committee and Institutional Protocol Approval Committee approval for the study. Data collection procedures have not started yet. The study is progressing as per the planned timeline. CONCLUSIONS: The BOHAT study holds considerable potential to promote oral health care through collaborative and interdisciplinary approaches. It will facilitate early diagnosis, timely referrals, and comprehensive care by integrating assessment actions for oral health into routine practices of nondental primary health care professionals. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/63480.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.065 | 0.040 |
| Meta-epidemiology (narrow) | 0.003 | 0.003 |
| Meta-epidemiology (broad) | 0.003 | 0.004 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.025 | 0.006 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".