Quality of oral health services in residential care: towards an evaluation framework
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: There is widespread neglect of oral healthcare, and uncertainty about how best to organise and evaluate the impact of oral health services in long-term care (LTC) facilities. Consequently, there is need for an evaluation framework to improve and account for the quality of oral healthcare in the facilities. OBJECTIVES: This paper: (i) identifies basic concepts of quality of care and evaluation in healthcare; (ii) reviews the methods used to evaluate the operation and effectiveness of oral healthcare in LTC facilities and (iii) recommends change to assure oral health-related quality and accountability for frail elders. METHOD: A literature review provided insights to the theoretical basis and practical applications for assessing the quality of healthcare relevant to oral healthcare for frail elders. RESULTS: Oral health-related programmes in LTC facilities could be improved by using a combination of quality assurance and health programme evaluation that: (i) engages everyone involved; (ii) seeks multiple attributes of quality; (iii) evaluates the structure, process or activities, and outcome of the oral health programme; (iv) uses formative and summative methods to provide both quantitative and qualitative evidence of care and (v) transfers new knowledge for appropriate consideration and action. CONCLUSIONS: This theoretical framework can be applied in dentistry in LTC to provide an assessment model specific to oral healthcare for frail elders in residential care.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 it