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Record W2101874224 · doi:10.1177/0269216310389348

Shared decision-making in palliative care: A systematic mixed studies review using narrative synthesis

2011· review· en· W2101874224 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenuePalliative Medicine · 2011
Typereview
Languageen
FieldHealth Professions
TopicPatient-Provider Communication in Healthcare
Canadian institutionsMcGill University
FundersCanadian Institutes of Health Research
KeywordsCINAHLPalliative careMEDLINENarrativeInclusion (mineral)MedicineThematic analysisNursingQualitative researchPsychologyMedical educationPsychological interventionSociologySocial psychology

Abstract

fetched live from OpenAlex

The aim of this study is to synthesize knowledge about the process of shared decision-making (SDM) in palliative care. Medline, EMBASE, CINAHL, PsychInfo, Web of Science were searched with core concepts: shared decisions, patient participation in decision-making, and palliative care. Titles and abstracts were screened according to inclusion criteria (original research, adult patients, Western contexts, decision-making, palliative treatment or setting), yielding 37 articles for analysis. A narrative synthesis was created using the methods of thematic analysis, conceptual mapping, and critical reflection on the synthesis process. Results demonstrate that while a majority of patients want to participate in treatment decisions to some extent, most do not achieve their preferred levels of involvement because decisions are delayed and alternative treatment options are seldom discussed. The literature regarding the process of SDM itself remains scarce in palliative care. Further research is needed in order to better understand the longitudinal, interactive, and interdisciplinary process of decision-making in palliative care.

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)0.003
metaresearch head score (Gemma)0.065
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.062
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.065
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0120.001
Bibliometrics0.0010.003
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0010.000

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 head0.616
GPT teacher head0.572
Teacher spread0.044 · 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