The interprofessional and interorganizational collaboration in perinatal care settings after issuing the Quebec Perinatal Policy 2008-2018: A single case study
Bibliographic record
Abstract
Abstract Introduction: The main objective of this study was to explore how the Quebec Perinatal Policy influenced the collaborative experiences of maternity care providers in a birthing center and its affiliated hospital. Methods: A single case study was used. Data collection included semi-structural interviews with multidisciplinary professional and administrator participants; direct observation and field notes; documents and archives. A qualitative thematic method and QDA Miner software were used for analysis. Results: Our investigation reveals that midwives have complete access to the hospital with which a formal agreement was signed. The completion of the Quebec Perinatal Policy is still under question because of the lack of human and financial resources. Some of the barriers to fully execution of the Perinatal Policy in the province of Quebec include the absence of strategies or willingness to open more birthing centers, the scarcity of training sites for midwives, and the limited number of schools that provide midwifery education in Quebec. There was no obvious effect of Quebec Perinatal Policy on the collaborative professional activities among midwives in the birthing center and other professionals in the affiliated hospital. Tension among maternity care professionals was fuelled by prejudice, a poor understanding of the roles and lack of trust of other professionals, poor communication, and an unwillingness to collaborate. Factors that facilitated collaboration between maternity care professionals were close communication and exchange of information between personnel, participation in multidisciplinary workshops and meetings, and proper preparation of midwifery clients for possible transfer of care. Conclusion: Collaboration is necessary among maternity care professionals in order to better implement the perinatal care policies in Quebec. Additional strategies include clearly defining the roles and responsibilities of the various maternity care providers, designing interdisciplinary programs and workshops to strengthen teamwork and to improve understanding of the scope of practice of other maternity care professionals, in order to encourage mutual respect and collaboration.
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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 | 0.007 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.018 | 0.005 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".