MétaCan
Menu
Back to cohort
Record W4213078589 · doi:10.1590/interface.210573

Domínios de competências essenciais nas práticas colaborativas em equipe interprofissional: revisão integrativa da literatura

2022· article· pt· W4213078589 on OpenAlexaboutno aff
Carolina Caldas, Flávia Mussatto, Júlia de Souza Vieira, Julia Baseggio Bugança, Vânia Aparecida Steffens, Haroldo Baêta Filho, Flávio Ricardo Liberali Magajewski, Daniela de Rossi Figueiredo

Bibliographic record

VenueInterface - Comunicação Saúde Educação · 2022
Typearticle
Languagept
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

O objetivo desta pesquisa foi sintetizar evidências das práticas colaborativas interprofissionais segundo os domínios de competências essenciais do Canadian Interprofessional Health Collaborative (CIHC). Foi conduzida revisão integrativa da literatura, dos últimos dez anos, nas bases Pubmed, Web of Science e Biblioteca Virtual em Saúde e síntese das práticas segundo a estrutura proposta pela CIHC. Dos 364 artigos selecionados, 21 foram incluídos com amostras entre 12 e 972 participantes; 11 estudos utilizaram instrumentos para avaliação das práticas; 43% evidenciaram os seis domínios essenciais; e 38%, de três a quatro. A resolução de conflitos interprofissionais não foi abordada em 48% dos artigos. Foi observada a adesão aos domínios de competências essenciais, o que tende a qualificar o processo de trabalho. Entretanto, a lacuna observada na abordagem do enfrentamento dos conflitos interprofissionais representa um obstáculo para vencer a formação uniprofissional.

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 imitation

Not 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.

metaresearch head score (Codex)0.031
metaresearch head score (Gemma)0.098
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.031
Threshold uncertainty score0.166

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0310.098
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.004
Bibliometrics0.0210.023
Science and technology studies0.0030.007
Scholarly communication0.0170.015
Open science0.0030.005
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0060.001

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.

Opus teacher head0.047
GPT teacher head0.436
Teacher spread0.388 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

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".

Quick stats

Citations10
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueInterface - Comunicação Saúde EducaçãoSame topicInterprofessional Education and CollaborationFrench-language works237,207