Entrevista de 15 minutos: uma ferramenta de abordagem à família no Programa Saúde da Família
Bibliographic record
Abstract
The idea that the conditions of health-illness of the members of a family influence one another mutually is widely known nowadays.The 15 minute family interview was developed as a condensed form of the Calgary Family Assessment and Intervention Models, aiming to contribute to the establishment of a therapeutic relationship between nurse and family and the implementation of interventions to promote health and the relief of suffering, even in a brief interaction.The Family Health Program (FHP) was implemented to reorganize the National Health System in Brazil, recommending that the family and their social space to be elected as the nucleus of approach in health care.This study investigated the experience of nurses from the Family Health Program in the use of the 15 minutes family interview on home visits in the postpartum.Thus, a qualitative study was conducted and took place in three stages: Stage 1 -Participants Training Program, Stage 2 -Utilization of the 15-minute family interview by participants and Stage 3 -Interviews with participants.The data were collected through semi-structured interviews with the nurses, a total of eight participants, and were analyzed using thematic analysis.Two main themes were highlighted: Living the challenge of a new practice and Evaluating the assignment.Facing the challenge of using the 15-minute family interview in his/her practice, the nurse realizes the positive impact of this new tool in his/her relationship with the families, broadening his/her view of them as a unit and deepening the bond with the families.This expanded view of the family contributes to a more accurate assessment of the family's needs and wishes, facilitating the implementation of new interventions, as the use of commendations and orientations.On the other hand, the professional also experiences difficulties in constructing genograms and ecomaps and when realizes that that moment is not suitable for the 15-minute family interview.This work shows that the 15-minute family interview can serve as a context that facilitates the deepening of relations between nurses and families in the FHP, which approximates the proposal of the family as the focus of attention in health care of its fulfillment.
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 | 0.008 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".