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Record W4411870850 · doi:10.1177/20543581251350891

Enablers and Barriers to Integrating Advance Care Planning in Chronic Kidney Disease Care in a Canadian Provincial Network

2025· article· en· W4411870850 on OpenAlexaffabout
Helen Chiu, John S. Duncan, Sherri Kensall, Yanchini Rajmohan, Sushila Saunders, Sarah Thomas, Salma Wadhwania, Gaylene Hargrove

Bibliographic record

VenueCanadian Journal of Kidney Health and Disease · 2025
Typearticle
Languageen
FieldMedicine
TopicDialysis and Renal Disease Management
Canadian institutionsFraser HealthUniversity of British Columbia
Fundersnot available
KeywordsAdvance care planningMedicineKidney diseaseHealth carePalliative careNursingFocus groupNephrologyFamily medicineInternal medicineBusinessPolitical science

Abstract

fetched live from OpenAlex

Background: Individuals with advanced chronic kidney disease benefit from an integrated palliative approach to care through timely advance care planning and discussions about their goals of care. Despite literature and guidelines emphasizing the need for advance care planning in chronic kidney disease management, treatment-focused approach remains the norm, partly due to provider reluctance and discomfort in engaging in advance care planning conversations. In British Columbia (BC), the Integrated Palliative Nephrology (IPN) project was launched to enhance kidney health care provider engagement in advance care planning and goals of care discussions, to train kidney health care providers in the province to initiate serious illness conversations, and to develop standardized resources for patients and providers across a provincial renal network. Objective: As part of the quality improvement, this study highlights the barriers/challenges and enablers to engage in advance care planning for health care providers of adult patients with chronic kidney disease. Design: A multi-methods approach was used. Setting: British Columbia, Canada. Participants: Kidney health care providers who worked in nondialysis and dialysis care settings. Methods: Data were collected through semistructured surveys, individual interviews, and focus groups with health care providers across the province who care for patients with chronic kidney disease. Results: The results of a kidney health care provider survey (n = 90) showed self-reported improvements in knowledge of the integrated palliative approach and competency and comfort engaging in advance care planning discussions. The results of one-on-one interviews (n = 15) and focus groups (n = 32) with kidney health care providers showed that taking a relational approach with patients, enhancing provider comfort and competency with advance care planning, clarifying roles and responsibilities around who should engage in advance care planning conversation was beneficial to patient care. Supporting cohesion among care teams around the goal of advancing an integrated palliative approach, and offering mentorship and targeted education and resources for the kidney care team, can enable effective advance care planning discussions. Limitations: The study was limited by purposive sampling, a small sample size, and potential bias due to participant interests and settings. Conclusions: For kidney health care providers, targeted education and resources, clarity around roles and responsibilities, and long-term relationships with patients may help advance the cultural shift from treatment focus to integrating palliative care across the continuum of the illness journey. Trial registration: Not registered.

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)0.005
metaresearch head score (Gemma)0.013
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 score0.110
Threshold uncertainty score0.799

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0160.002
Scholarly communication0.0030.001
Open science0.0020.005
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.006
GPT teacher head0.271
Teacher spread0.265 · 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".

Quick stats

Citations1
Published2025
Admission routes2
Has abstractyes

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