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Record W1850107746 · doi:10.12968/ijpn.2015.21.10.495

Registered nurses' involvement in advance care planning: an integrative review

2015· article· en· W1850107746 on OpenAlexaff
Lori Rietze, Kelli Stajduhar

Bibliographic record

VenueInternational Journal of Palliative Nursing · 2015
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsUniversity of VictoriaLaurentian University
Fundersnot available
KeywordsCINAHLAdvance care planningNursingAcute careMEDLINEMedicineHealth carePalliative carePsychologyPsychological intervention

Abstract

fetched live from OpenAlex

BACKGROUND: Even though registered nurses are uniquely positioned to have end-of-life conversations with their patients, there is limited engagement in such discussions between patients and health-care providers. Consequently, few patients are adequately prepared to make in-the-moment treatment decisions about goals of care. OBJECTIVES: The guiding question for this integrative review was what factors influence registered nurses' involvement in advance care planning (ACP) conversations with their patients in acute care settings? METHODS: Based on integrative review guidelines, databases from CINAHL, Medline, Ovid, and ProQuest were searched from 1990-2014, yielding nine articles. RESULTS: There were four patterns found in the literature: (1) Nurses' involvement in ACP, (2) Nurses' perceptions of their roles in ACP, (3) Barriers to ACP discussions, and (4) Facilitators of ACP discussions. DISCUSSION: Additional educational opportunities related to ACP are necessary to promote integration of ACP into daily nursing care. Further research should focus on exploring operant mechanisms shaping nurses' ACP practice in acute care settings.

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)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.544
Threshold uncertainty score0.568

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.272
GPT teacher head0.535
Teacher spread0.263 · 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

Citations51
Published2015
Admission routes1
Has abstractyes

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