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Record W2109670440 · doi:10.18471/rbe.v28i1.9265

ATENDIMENTO AO INDIVÍDUO COM TRANSTORNO MENTAL: PERSPECTIVA DE UMA EQUIPE DA ESTRATÉGIA DE SAÚDE DA FAMÍLIA

2014· article· pt· W2109670440 on OpenAlexaff
Debora Cristina Mainarde, Patricia Cardoso Natal de Matos, Ana Carolina Guidorizzi Zanetti, Emilene Reisdorfer, Tatiana Longo Borges Miguel

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2014
Typearticle
Languagept
FieldPsychology
TopicPsychology and Mental Health
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPsychologyMental healthHumanitiesPsychotherapistPhilosophy

Abstract

fetched live from OpenAlex

A proximidade das equipes da Estratégia Saúde da Família (ESF) com as famílias faz com que se tornem recurso fundamental para a reinserção dos pacientes com transtornos mentais na comunidade. O presente estudo teve como objetivo caracterizar o atendimento dos pacientes com demandas de saúde mental em uma ESF e identificar o conhecimento da equipe acerca da definição de transtorno mental e da reabilitação psicossocial. Trata-se de estudo descritivo, com nove profissionais de uma ESF de um município do estado de São Paulo. Foram realizadas entrevistas estruturadas e os dados foram analisados utilizando-se a técnica de análise de conteúdo. Os resultados mostraram a ausência de conduta padronizada dos profissionais para os pacientes com transtorno mental. Os participantes apresentaram dificuldades na definição de transtorno mental e seus sintomas. Para a equipe estudada, lidar com usuários com transtornos psiquiátricos exige estratégias inovadoras que possibilitem o atendimento integral.

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)0.003
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.067
Threshold uncertainty score0.134

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.003
Scholarly communication0.0030.002
Open science0.0010.005
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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.

Opus teacher head0.292
GPT teacher head0.603
Teacher spread0.310 · 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 designQualitative
Domainnot available
GenreEmpirical

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

Citations0
Published2014
Admission routes1
Has abstractyes

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