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Record W2986961597 · doi:10.7326/m19-2438

Compassionate End-of-Life Care: Mixed-Methods Multisite Evaluation of the 3 Wishes Project

2019· article· en· W2986961597 on OpenAlexaff
Meredith Vanstone, Thanh H. Neville, France Clarke, Marilyn Swinton, Marina Sadik, Alyson Takaoka, Orla Smith, Andrew Baker, Allana LeBlanc, Denise Foster, Vinay Dhingra, Peter Phung, Xueqing Xu, Yu-Han Kao, Diane Heels‐Ansdell, Benjamin Tam, Feli Toledo, Anne Boyle

Bibliographic record

VenueAnnals of Internal Medicine · 2019
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsSt. Joseph’s Healthcare HamiltonUniversity of British ColumbiaVancouver Coastal HealthSt. Michael's HospitalNiagara Health SystemMcMaster University
FundersGreenwall Foundation
KeywordsDignityEnd-of-life careMedicineNursingPalliative careFormative assessmentFocus groupQualitative researchIntensive care unitIntervention (counseling)Family medicinePsychology

Abstract

fetched live from OpenAlex

Background: The 3 Wishes Project (3WP) is an end-of-life program that aims to honor the dignity of dying patients by creating meaningful patient- and family-centered memories while promoting humanistic interprofessional care. Objective: To determine whether this palliative intervention could be successfully implemented-defined as demonstrating value, transferability, affordability, and sustainability-beyond the intensive care unit in which it was created. Design: Mixed-methods formative program evaluation. (ClinicalTrials.gov: NCT04147169). Setting: 4 North American intensive care units. Participants: Dying patients, their families, clinicians, hospital managers, and administrators. Intervention: Wishes from dying patients, family members, and clinicians were elicited and implemented. Measurements: Patient characteristics and processes of care; the number, type, and cost of each wish; and semistructured interviews and focus groups with family members, clinicians, and managers. Results: A total of 730 patients were enrolled, and 3407 wishes were elicited. Qualitative data were gathered from 75 family members, 72 clinicians, and 20 managers or hospital administrators. Value included intentional comforting of families as they honored the lives and legacies of their loved ones while inspiring compassionate clinical care. Factors promoting transferability included family appreciation and a collaborative intensive care unit culture committed to dignity-conserving end-of-life care. Staff participation evolved from passive support to professional agency. Program initiation required minimal investment for reusable materials; thereafter, the mean cost was $5.19 (SD, $17.14) per wish. Sustainability was demonstrated by the continuation of 3WP at each site after study completion. Limitation: This descriptive formative evaluation describes tertiary care center-specific experiences rather than aiming for generalizability to all jurisdictions. Conclusion: The 3WP is a transferrable, affordable, and sustainable program that provides value to dying patients, their families, clinicians, and institutions. Primary Funding Source: Greenwall Foundation.

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)0.052
metaresearch head score (Gemma)0.038
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.052
Threshold uncertainty score0.273

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0520.038
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0020.002
Open science0.0020.004
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.230
GPT teacher head0.526
Teacher spread0.297 · 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 designQualitative
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".

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Citations44
Published2019
Admission routes1
Has abstractyes

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