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Record W2611603644

Necessidades dos cuidadores familiares na atenção domiciliar a idosos

2017· article· pt· W2611603644 on OpenAlexaff
Carla Cristiane Becker Kottwitz Bierhals, Naiana Oliveira dos Santos, F Fengler, Kamila Dellamora Raubustt, Dorothy Forbes, Lisiane Manganelli Girardi Paskulin

Bibliographic record

VenueLA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · 2017
Typearticle
Languagept
FieldHealth Professions
TopicHealth, Nursing, Elderly Care
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsNormativePsychological interventionExploratory researchNeeds assessmentDescriptive statisticsNursingFamily caregiversPsychologyQualitative researchContent analysisDescriptive researchMedicineGerontologySociology
DOInot available

Abstract

fetched live from OpenAlex

Objetivo: identificar as necessidades sentidas e normativas dos cuidadores familiares principais no apoio instrumental a idosos registrados em um Programa de Atenção Domiciliar em uma Unidade Básica de Saúde no Sul do Brasil. Métodos: usando a Taxonomia de Necessidades de Bradshaw para explorar as necessidades sentidas (necessidades declaradas) e normativas (definidas por profissionais), desenvolveu-se um estudo exploratório misto em três etapas: Etapa descritiva quantitativa, envolvendo 39 idosos e seus cuidadores, com a ajuda de um folha de dados baseada no prontuário do paciente; Etapa exploratória qualitativa, baseada em entrevistas com 21 cuidadores, analisadas mediante a análise de conteúdo; Observação sistemática, aplicando um roteiro de observação a 16 cuidadores, com análise estatística descritiva. Resultados: as necessidades sentidas estavam relacionadas a informações sobre atividades de apoio instrumental e aspectos subjetivos do cuidado. Os cuidadores apresentaram maior número de necessidades normativas associadas ao cuidado com as medicações. Conclusão: compreender as necessidades dos cuidadores permite aos enfermeiros planejar intervenções baseadas em suas particularidades.

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 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)0.003
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity
Consensus categoriesMeta-epidemiology (narrow), Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.867
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0140.000
Scholarly communication0.0010.002
Open science0.0040.002
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0000.001

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 head0.049
GPT teacher head0.337
Teacher spread0.288 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations2
Published2017
Admission routes1
Has abstractyes

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