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Record W7007853585

Aplicação do modelo calgary de avaliação familiar a pacientes com câncer em cuidados paliativos

2019· dissertation· en· W7007853585 on OpenAlexaboutno aff

Bibliographic record

VenueLA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · 2019
Typedissertation
Languageen
FieldMedicine
TopicPalliative and Oncologic Care
Canadian institutionsnot available
Fundersnot available
KeywordsPalliative careDignityQuality of life (healthcare)Multidisciplinary approachQualitative researchFamily caregiversStrengths and weaknessesCancer
DOInot available

Abstract

fetched live from OpenAlex

Palliative care is a therapeutic modality applied by a multidisciplinary team for the benefit of the patient in the face of a life threatening illness, with a view to a care that reduces suffering, improves the quality of life and dignity of patients and their families. The Calgary Family Assessment Model (MCAF) as a theoretical methodological contribution to this study allows us to investigate the structural, functional and functional dimension of family dynamics, making it possible to identify weaknesses and strengths in the family support network of these cancer patients in palliative care. Objectives: To evaluate the structure, development and functionality of families of cancer patients in palliative care in the light of the Calgary Family Assessment Model. Method: this is a field study with a qualitative approach, embodied in the Calgary Model of Family Assessment, carried out in a philanthropic hospital in cancer care, located in the city of Recife, Pernambuco. The research sample consisted of ten patients and 10 relatives. In compliance with ethical observances, the project was evaluated and approved by the Research Ethics Committee of Pernambucana Society for the Fight against Cancer under CAAE no. 71835317.0.3001.5205. To collect data, we used the interview technique guided by two instruments proposed for the study: a sociodemographic and clinical characterization instrument, pertinent to oncological disease and a semistructured script of questions elaborated by the researchers, based on MCAF recommendations. The recorded interviews were transcribed in full. And it made possible the construction of the two instruments proposed by the MCAF, the genogram and the ecomap. The empirical material was analyzed qualitatively in light of the MCAF. Results: The results allowed the construction of two articles: 1- Palliative care for patients with head and neck cancer: a study based on the Calgary Model and 2- Family assessment of women with breast cancer in palliative care: an approach in the perspective of the Calgary Model. In both articles, the difficulties faced by patients and their relatives in life finitude situations were identified. We emphasize that the structural support network and the flow of energy among family members were, in large part, positive, which favored to preserve the patient's quality of life at this stage of life. Conclusions: The families participating in this study presented remodeling in their social and functional roles within the family group. The reorganization of roles was considered less strenuous in larger families than in smaller families. Strategies of unity,adequate communication and resilience based on spirituality have proved positive for alliative care. It should be noted that this study is only part of a reality cut, given the magnitude and complexity of palliative care. It is necessary to prepare new studies on palliative care for the cancer patient, family members, multiprofessional team, teachers, students, and managers of the palliative care area, with emphasis on the new nursing care models

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)0.010
metaresearch head score (Gemma)0.027
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.071

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.027
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0030.003
Scholarly communication0.0060.004
Open science0.0020.003
Research integrity0.0010.002
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 head0.030
GPT teacher head0.291
Teacher spread0.261 · 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 designObservational
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
Published2019
Admission routes1
Has abstractyes

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