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Educação interprofissional e prática colaborativa na Atenção Primária à Saúde*

2015· article· pt· W2319717196 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueRevista da Escola de Enfermagem da USP · 2015
Typearticle
Languagept
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsWestern University
Fundersnot available
KeywordsInterprofessional educationPerspective (graphical)Focus groupPerceptionTriangulationPrimary health careHealth careQualitative research

Abstract

fetched live from OpenAlex

Objective To understand the perceptions of professors, health care providers and students about the articulation of interprofessional education with health practices in Primary Health Care. Method To understand and interpret qualitative data collection, carried out between 2012 and 2013, through semi-structured interviews with 18 professors and four sessions of homogeneous focus groups with students, professors and health care providers of Primary Health Care. Results A triangulation of the results led to the construction of two categories: user-centered collaborative practice and barriers to interprofessional education. The first perspective indicates the need to change the model of care and training of health professionals, while the second reveals difficulties perceived by stakeholders regarding the implementation of interprofessional education. Conclusion The interprofessional education is incipient in the Brazil and the results of this analysis point out to possibilities of change toward collaborative practice, but require higher investments primarily in developing teaching-health services relationship.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.155
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0020.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0070.007

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.

Opus teacher head0.106
GPT teacher head0.457
Teacher spread0.352 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it