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Record W4387609028 · doi:10.1089/jpm.2023.0544

Top Ten Tips Palliative Care Clinicians Should Know About Dignity-Conserving Practice

2023· article· en· W4387609028 on OpenAlexaff
Rachel A. Hadler, Seth Weeks, William E. Rosa, Stephanie Choate, Matthew Goldshore, Miguel Julião, Blake Mergler, Judith E. Nelson, Jesse Soodalter, Caywin Zhuang, Harvey Max Chochinov

Bibliographic record

VenueJournal of Palliative Medicine · 2023
Typearticle
Languageen
FieldMedicine
TopicPatient Dignity and Privacy
Canadian institutionsUniversity of ManitobaCancerCare Manitoba
FundersNational Cancer Institute
KeywordsDignityPalliative careNursingMedicineRedressEnd-of-life carePolitical scienceLaw

Abstract

fetched live from OpenAlex

The acknowledgment and promotion of dignity is commonly viewed as the cornerstone of person-centered care. Although the preservation of dignity is often highlighted as a key tenet of palliative care provision, the concept of dignity and its implications for practice remain nebulous to many clinicians. Dignity in care encompasses a series of theories describing different forms of dignity, the factors that impact them, and strategies to encourage dignity-conserving care. Different modalities and validated instruments of dignity in care have been shown to lessen existential distress at the end of life and promote patient-clinician understanding. It is essential that palliative care clinicians be aware of the impacts of dignity-related distress, how it manifests, and common solutions that can easily be adapted, applied, and integrated into practice settings. Dignity-based constructs can be learned as a component of postgraduate or continuing education. Implemented as a routine component of palliative care, they can provide a means of enhancing patient-clinician relationships, reducing bias, and reinforcing patient agency across the span of serious illness. Palliative care clinicians-often engaging patients, families, and communities in times of serious illness and end of life-wield significant influence on whether dignity is intentionally integrated into the experience of health care delivery. Thus, dignity can be a tangible, actionable, and measurable palliative care goal and outcome. This article, written by a team of palliative care specialists and dignity researchers, offers 10 tips to facilitate the implementation of dignity-centered care in serious illness.

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)0.013
metaresearch head score (Gemma)0.081
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.028
Threshold uncertainty score0.094

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.081
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.002
Science and technology studies0.0060.007
Scholarly communication0.0120.021
Open science0.0030.010
Research integrity0.0180.029
Insufficient payload (model declined to judge)0.0280.015

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 head0.172
GPT teacher head0.446
Teacher spread0.275 · 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 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

Citations9
Published2023
Admission routes1
Has abstractyes

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