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Bereavement care for families part 2: Evaluation of a paediatric follow-up programme

2006· article· en· W2032032132 on OpenAlexaffabout
Margaret A. deJong-Berg, Lynett Kane

Bibliographic record

VenueInternational Journal of Palliative Nursing · 2006
Typearticle
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsStollery Children's Hospital
Fundersnot available
KeywordsMedicinePsychologyFamily medicineNursing

Abstract

fetched live from OpenAlex

In North America, parents are not expected to outlive their child. When they do, neighbours, co-workers, friends and family do not know what to say or do resulting in parents feeling isolated in their grief and left alone to find the support they need. The Paediatric Palliative Care team at Capital Health's, Stollery Children's Hospital (Stollery) in Edmonton, Alberta, Canada began a programme of bereavement follow-ups in April 2002 to offer support to families who had experienced the death of their child. In Part 1 of this article (deJong-Berg and deVlamming, 2005) implementation and the current state of the programme is outlined, and in Part 2 we present the results of the programme evaluation conducted in spring, 2005. Eighty-one families were invited to take part in a satisfaction survey to determine the helpfulness of this bereavement follow-up programme. Twenty-nine parents, representing 21 families, took part. Parents reported that written information received was useful and that they felt supported knowing a resource was available. They also felt also felt that the programme extended the care given by the Stollery staff throughout their child's illness and death. This article reports the findings of the programme evaluation and discusses the implications for practice and future research.

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)0.001
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 score0.506
Threshold uncertainty score0.510

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.074
GPT teacher head0.402
Teacher spread0.329 · 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

Citations31
Published2006
Admission routes2
Has abstractyes

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