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Record W4365443968 · doi:10.1017/s147895152300041x

Translation and cross-cultural adaptation of the Dignity Therapy Question Protocol to Brazilian Portuguese

2023· article· en· W4365443968 on OpenAlexaff
Michelle Uchida Miwa, Carlos Eduardo Paiva, Ana Julia Sucupira Ferreira, Miguel Julião, Harvey Max Chochinov, Bianca Sakamoto Ribeiro Paiva

Bibliographic record

VenuePalliative & Supportive Care · 2023
Typearticle
Languageen
FieldMedicine
TopicPatient Dignity and Privacy
Canadian institutionsResearch Institute in Oncology and HematologyCancerCare Manitoba
FundersConselho Nacional de Desenvolvimento Científico e TecnológicoFundação de Amparo à Pesquisa do Estado de São Paulo
KeywordsDignityPortugueseAdaptation (eye)Brazilian PortugueseProtocol (science)Translation (biology)MedicinePsychologyLinguisticsPolitical sciencePhilosophyBiologyNeuroscienceLawAlternative medicineGeneticsPathology

Abstract

fetched live from OpenAlex

OBJECTIVES: Dignity therapy (DT) was developed to help patients at their end of life to reframe and give meaning to their illness process. The DT question protocol focuses on personhood and important aspects of the individual's life. This study aimed to translate and culturally adapt the Dignity Therapy Question Protocol (DTQP) to Brazilian Portuguese. METHODS: This was a descriptive and methodological study, and cross-cultural adaptation process comprised 4 stages: (1) translation and synthesis of English original version protocol into Brazilian Portuguese, (2) back translation, (3) experts committee, and (4) pretest. RESULTS: - demonstrated a content validity index of 1 for all equivalences. The initial sample consisted of 41 participants (9 [21.9%] refused to participate and 1 [2.43%] dropped out). The pretest was applied to 30 (73.1%) participants, 15 of them were female and the mean age was 53.4 years. The final version consisted of 10 questions that were approved by the original authors who affirmed that the DTQP Brazilian Portuguese version maintained the original English characteristics. SIGNIFICANCE OF RESULTS: The Brazilian cultural adaptation of the DTQP was well understood by patients. It will be very useful in palliative care clinical practice for patients nearing end of life. The adapted version to Brazilian Portuguese will facilitate future studies using the DTQP.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.167
Threshold uncertainty score0.382

Codex and Gemma teacher scores by category

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

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 head0.126
GPT teacher head0.427
Teacher spread0.302 · 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 teacher head, 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

Citations5
Published2023
Admission routes1
Has abstractyes

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