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Record W2731455277 · doi:10.1186/s12904-017-0210-3

Volunteer navigation partnerships: Piloting a compassionate community approach to early palliative care

2017· article· en· W2731455277 on OpenAlexafffundabout
Barbara Pesut, Wendy Duggleby, Grace Warner, Konrad Fassbender, Elisabeth Antifeau, Brenda Hooper, Madeleine Greig, Kelli M. Sullivan

Bibliographic record

VenueBMC Palliative Care · 2017
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsUniversity of British Columbia, Okanagan CampusVancouver Native Health SocietyInterior HealthDalhousie UniversityUniversity of AlbertaOkanagan University CollegeUniversity of British Columbia
FundersNational Center for Complementary and Integrative HealthCanadian Frailty NetworkVancouver Foundation
KeywordsPalliative careMentorshipNursingMedicineQuality of life (healthcare)Community engagementPsychologyMedical educationPublic relations

Abstract

fetched live from OpenAlex

BACKGROUND: A compassionate community approach to palliative care provides important rationale for building community-based hospice volunteer capacity. In this project, we piloted one such capacity-building model in which volunteers and a nurse partnered to provide navigation support beginning in the early palliative phase for adults living in community. The goal was to improve quality of life by developing independence, engagement, and community connections. METHODS: Volunteers received navigation training through a three-day workshop and then conducted in-home visits with clients living with advanced chronic illness over one year. A nurse navigator provided education and mentorship. Mixed method evaluation data was collected from clients, volunteer navigators, the nurse navigator, and other stakeholders. RESULTS: Seven volunteers were partnered with 18 clients. Over the one-year pilot, the volunteer navigators conducted visits in home or by phone every two to three weeks. Volunteers were skilled and resourceful in building connections and facilitating engagement. Although it took time to learn the navigator role, volunteers felt well-prepared and found the role satisfying and meaningful. Clients and family rated the service as highly important to their care because of how the volunteer helped to make the difficult experiences of aging and advanced chronic illness more livable. Significant benefits cited by clients were making good decisions for both now and in the future; having a surrogate social safety net; supporting engagement with life; and ultimately, transforming the experience of living with illness. Overall the program was perceived to be well-designed by stakeholders and meeting an important need in the community. Sustainability, however, was a concern expressed by both clients and volunteers. CONCLUSIONS: Volunteers providing supportive navigation services during the early phase of palliative care is a feasible way to foster a compassionate community approach to care for an aging population. The program is now being implemented by hospice societies in diverse communities across Canada.

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)0.026
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.026
Threshold uncertainty score0.137

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0260.015
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0050.003
Scholarly communication0.0030.003
Open science0.0030.013
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0060.001

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 head0.367
GPT teacher head0.455
Teacher spread0.088 · 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 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

Citations79
Published2017
Admission routes3
Has abstractyes

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