Development of a core outcome set for oral health services research involving dependent older adults (DECADE): a study protocol
Bibliographic record
Abstract
BACKGROUND: Oral healthcare service provision for dependent older adults is often poor. For dental services to provide more responsive and equitable care, evidence-based approaches are needed. To facilitate future research, the development and application of a core outcome set would be beneficial. The aim of this study is to develop a core outcome set for oral health services research involving dependent older adults. METHODS: A multi-step process involving consensus methods and including key stakeholders will be undertaken. This will involve identifying potentially relevant outcomes through a systematic review of previous studies examining the effectiveness of strategies to prevent oral disease in dependent older adults, combined with semi-structured interviews with key stakeholders. Stakeholders will include dependent older adults, family members, carers, care-home managers, health professionals, researchers, dental commissioners and policymakers. To condense and prioritise the long list of outcomes generated by the systematic review and semi-structured interviews, a Delphi survey consisting of several rounds with key stakeholders, as mentioned above, will be undertaken. The 9-point Likert scale proposed by the GRADE Working Group will facilitate this consensus process. Following the Delphi survey, a face-to-face consensus meeting with key stakeholders will be conducted where the stakeholders will anonymously vote and decide on what outcomes should be included in the finalised core outcome set. DISCUSSION: Developing a core set of outcomes that are clinically and patient-centred will help improve the design, conduct and reporting of oral health services research involving dependent older adults, and ultimately strengthen the evidence base for high-quality oral health care for dependent older adults. TRIAL REGISTRATION: The study was registered with the COMET initiative on 9 January 2018 http://www.cometinitiative.org/studies/details/1081?result=true .
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.051 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".