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PRIORITY NEEDS REFERRED BY FAMILIES OF RARE DISEASE PATIENTS

2016· article· en· W2559545768 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

VenueTexto & Contexto - Enfermagem · 2016
Typearticle
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsUniversité du Québec
Fundersnot available
KeywordsSocial needsRare diseaseInclusion (mineral)DiseaseMedicineNursingHealth careSpecial needsFamily medicineGerontologyPsychologyPsychiatryPolitical sciencePathologySocial psychology

Abstract

fetched live from OpenAlex

ABSTRACT Rare diseases cause strong impact in families and generate needs beyond those associated with the most frequent diseases. Some of these needs are the inclusion of new responsibilities and the relationship with the healthcare and social services. This study is aimed at identifying the priority needs of families of rare disease patients as perceived from the time of diagnosis. This is a qualitative study conducted with 16 relatives of rare disease patients who live in the state of Rio Grande do Sul. Data were collected from November 2012 to March 2013, through semi-structured interviews and submitted to content analysis, based on the bioecological system of human development. The results indicated the following priority needs: access to social and healthcare services; knowledge about rare diseases; social support structures; acceptance and social integration; preservation of personal and family life. It was concluded that (re)organizing services and meeting the specific needs are preconditions to qualify nursing care and soften the impact the rare disease has on the family.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.177
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0090.001

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 head0.342
GPT teacher head0.478
Teacher spread0.136 · 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