Barriers and facilitators in the integration of oral health into primary care: a scoping review
Bibliographic record
Abstract
OBJECTIVE: This scoping study has been conducted to map the literature and provide a descriptive synthesis on the barriers and facilitators of the integration of oral health into primary care. METHODS: six-stage framework, we performed a systematic search of electronic databases, organisational websites and grey literature from 1978 to April 2016. All publications with a focus on the integration of oral health into primary care were included except commentaries and editorials. Thematic analyses were performed to synthesise the results. RESULTS: From a total of 1619 citations, 58 publications were included in the review. Barrier-related themes included: lack of political leadership and healthcare policies; implementation challenges; discipline-oriented education; lack of continuity of care and services and patients' oral healthcare needs. The facilitators of integration were supportive policies and resources allocation, interdisciplinary education, collaborative practices between dental and other healthcare professionals, presence of local strategic leaders and geographical proximity. DISCUSSION AND PUBLIC HEALTH IMPLICATIONS: This work has advanced the knowledge on the barriers and facilitators at each integration domain and level, which may be helpful if the healthcare organisations decide to integrate oral health and dental services into primary care. The scoping review findings could be useful for both dental and medical workforce and allied primary healthcare providers. They could also guide the development of healthcare policies that support collaborative practices and patient-centred care in the field of primary care.
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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 | 0.037 | 0.104 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.006 | 0.005 |
| Bibliometrics | 0.021 | 0.022 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".