Interprofessional work and collaborative skills in the family health strategy
Bibliographic record
Abstract
Collaborative interprofessional practice in health is an innovative strategy for overcoming the global crisis in health services. Through this practice it is possible for the health workforce to be better prepared to deal with the health demands of the population. Professional practice based on competencies has been pointed out by various studies as being able to contribute to increasing the quality of health care. This study aimed to analyze the development of interprofessional collaborative practices in the light of competencies, in the Family Health and NASF-AB teams in the municipality of Sobral, CE. It was decided to carry out a qualitative, exploratory and descriptive study. Two groups of professionals from family health teams in the municipality of Sobral-CE took part in the research. Data was collected using the Focus Group technique and the construction of the Action Map. The data was analyzed using the thematic analysis technique and in the light of the theoretical framework of the principles, domains and competences of the Canadian Interprofessional Health Collaborative (CIHC). The actions identified as the main activities carried out in a shared manner with other professional categories were: home visits and team meetings. The results showed that the following collaborative competencies were present in the work process analyzed: interprofessional communication, teamwork and patient-, family- and community-centered care. Among the challenges identified for advancing the development of collaborative competencies, the professionals pointed to the changes resulting from Previne Brasil, which reduced incentives for interprofessional actions, team meetings, reduced financial resources, as well as prioritizing clinical-assistance actions to the detriment of actions aimed at comprehensive care. The study found the development of actions based on the collaborative competencies postulated by the CIHC, which are close to the concept of interprofessional work and the implementation of its practice in the scenario investigated.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.010 | 0.012 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.008 |
| 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".