How primary health care teams perceive the integration of oral health care into their practice: A qualitative study
Bibliographic record
Abstract
Recently, new models for the integration of oral health into primary care have been proposed. However, these models may be adopted by a variety of health care systems, and will reach successful outcomes only if they can be adapted to suit the local context. To this end, the objective of this study was to explore the perceptions of Quebec primary health care teams on the integration of oral health into primary care. A qualitative approach and interpretive description methodology were used to conduct the study within a case-study design. Purposeful sampling with maximum variation and snowball technique were used for recruitment of study participants. Seventy-four in-depth, semi-structured interviews and five focus groups were conducted with primary health care teams including health care providers and managers working in a rural and an urban health care center. The interview guide and study conceptual framework were based on the Rainbow model. Data collection and data analyses were conducted concurrently and continued until saturation was achieved. To analyze the data, four phases of qualitative analysis were followed. The thematic analysis included interview debriefing, transcript coding, data display, and interpretation. Data analysis was conducted both manually and with the use of Atlas-ti software. A total of four themes emerged from the interviews and focus group discussions. These themes covered all domains of the study theoretical model and included: 1) drivers of integration; 2) importance of integration; 3) professionals' role in integrated care; and 4) barriers and enablers of integration. In general, most of the barriers expressed by study participants were related to the organizational and system domains of integration. Primary health care teams who provide care in rural and urban areas in Quebec expressed their concerns on the absence of integrated oral health services. Implementation of governance policies, the prioritization of educational and management measures as well as inter-professional collaboration toward innovative care models could facilitate this integration.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".