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Record W2996453184 · doi:10.1177/0825859719883841

An Environmental Scan of Caregiver Support Resources Provided by Hospice Organizations

2019· article· en· W2996453184 on OpenAlexaffabout
Julia Gyapay, Shannon Freeman, Donna Flood

Bibliographic record

VenueJournal of Palliative Care · 2019
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsPositive Living NorthUniversity of Northern British Columbia
Fundersnot available
KeywordsRespite careDescriptive statisticsNursingSocial supportService (business)Family caregiversGriefPsychologyDescriptive researchFamily supportMedicineBusinessSociologySocial psychologyPsychiatry

Abstract

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BACKGROUND: Informal caregiver support programs offered by hospice organizations support the health and wellbeing of clients and caregivers. However, an understanding of the best practices for informal caregiver support programs currently undertaken across Canada remains unknown, particularly across the province of British Columbia. AIM: The aim of the present study was to describe what existing resources and supports are provided by hospice organizations for informal caregivers of persons who are nearing end of life or who are recently bereaved in British Columbia, Canada. METHODS: In this descriptive study, two thirds of hospice organizations (N = 42/66; 26 urban, 16 rural) participated in a semi-structured telephone interview focused on informal caregiver support programs. All interviews were recorded, transcribed and analyzed thematically and descriptive statistics were employed. FINDINGS: While no one-size-fit-all caregiver support program emerged as a gold standard across all hospice organizations, nearly two thirds (n = 26/42) offered one or more informal caregiver support programs. Four categories of caregiver support programs emerged from the data analysis, including companioning, bereavement and grief supports, education and service supports, and respite for caregivers. CONCLUSION: Caregiver support programs are a valuable service provided by some but not all hospice organizations across British Columbia, Canada. Future studies are needed to determine best methods for hospice organizations to formally assess caregivers' needs and to determine the success and effectiveness of such programs in support of program expansion and evaluation.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.402
Threshold uncertainty score0.835

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.000

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 head0.024
GPT teacher head0.343
Teacher spread0.319 · 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

Citations7
Published2019
Admission routes2
Has abstractyes

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