A Qualitative Study of Health Care Providers’ Views on Integrating Oral Health into Prenatal Care
Bibliographic record
Abstract
OBJECTIVE: Providing preventive oral health during prenatal care is a recognized strategy for improving pregnant women's access to oral health care. This study sought to qualitatively explore the views of health care providers in British Columbia (BC), Canada, on strategies for integrating preventive oral health into prenatal care. METHODS: Twenty-four purposefully selected health care providers (13 oral health and 11 prenatal care providers) in Vancouver and Surrey BC participated in audio-recorded semistructured interviews. Interviews lasted from 31 to 61 min, were transcribed verbatim, and were analyzed using an inductive thematic analysis with N-Vivo software. Study validity was ensured via memoing, fieldnotes, member checking, and external audit. RESULTS: Thematic analysis revealed 5 major themes: perception of integrated care, relevance of integrated prenatal oral health, strategies for achieving integrated prenatal oral health, drivers of the integration process, and barriers to integrating oral health during pregnancy. Interprofessional collaboration based on information sharing and communication was identified as a critical factor for integrated care. Oral health checks should be a component of prenatal assessments for achieving integrated prenatal oral health. Participants recommended that prenatal providers should offer oral health education and use screening questions to identify the pregnant woman's oral health needs. The establishment of referral systems was advocated, while dental assessments and oral prophylaxis via the medical services plan were proposed. The inclusion of dental providers in prenatal teams and educating health care providers on interprofessional collaboration were also supported. CONCLUSION: Oral health and prenatal providers in BC are positively disposed to adopting integrated preventive prenatal oral health care based on interprofessional collaborative practices. The inclusion of oral health providers in prenatal teams was suggested. KNOWLEDGE TRANSFER STATEMENT: The results of this study can be used by policymakers for advocacy and decision making when planning care delivery programs for women during pregnancy. Including the suggested strategies could lead to increased access to, and utilization of, oral health services among pregnant women.
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.
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 | 0.013 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.012 | 0.007 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".