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Transição de cuidados para o domicílio na perspectiva de pais de filhos com leucemia

2019· article· pt· W2942390532 on OpenAlexaff
Fernanda Machado Silva‐Rodrigues, Caroline Souza Gomes Bernardo, Willyane de Andrade Alvarenga, Danielle Castro Janzen, Lucila Castanheira Nascimento

Bibliographic record

VenueRevista gaúcha de enfermagem · 2019
Typearticle
Languagept
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsUniversité du Québec en Outaouais
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

OBJECTIVE: To describe the experiences of parents of children and adolescents with leukemia in regards to the transition from hospital care to home. METHOD: A qualitative, descriptive study conducted with nine mothers and two fathers, in a pediatric public hospital. The data were collected through semi-structured interviews, from May 2017 to January 2017, organized in the software Atlas.ti 7® and submitted to inductive content analysis. The Change Theory was used as theoretical framework. RESULTS: The central category was "Returning home: the birth of a new reality", which originated three subcategories: apprehension with the new reality of care; immediate impact of changes; and implementing the guidance plan. CONCLUSION: The transition to the home setting made parents adapt to a new and complex reality of care. Improvements in the planning and systematization of the first hospital discharge are necessary.

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)0.002
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 score0.012
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.005
Scholarly communication0.0030.002
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.042
GPT teacher head0.343
Teacher spread0.301 · 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

Citations29
Published2019
Admission routes1
Has abstractyes

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