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Record W4416765056 · doi:10.1186/s12904-025-01953-6

Coordinating children’s palliative care in municipalities: a qualitative study

2025· article· en· W4416765056 on OpenAlexaff
Gro Trae, Anette Winger, Marianne Nordstrøm

Bibliographic record

VenueBMC Palliative Care · 2025
Typearticle
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsHealth Care Foundation
Fundersnot available
KeywordsPalliative careQualitative researchPain medicineMEDLINEQualitative analysis

Abstract

fetched live from OpenAlex

BACKGROUND: Children with palliative care conditions and their families have complex care needs. In Norwegian municipalities, designated coordinators facilitate cooperation between health and social care services to ensure a holistic approach to meeting these needs. However, information is limited concerning how coordinators perform their duties and the factors influencing their work performance. AIM: To explore coordinators' experiences and perceptions of factors influencing their work performance in relation to children's palliative care (CPC) in municipalities. METHODS: Semi-structured interviews were conducted with 11 coordinators for children in palliative care and analysed using a reflexive thematic analysis approach. RESULTS: Both internal and external factors influenced the coordinator's work performance, and they experienced a range of barriers in their efforts to achieve holistic care. Four themes were generated: 'random knowledge on children's palliative care', 'the abstract concept of coordination', 'striving to unite the fragmented whole' and 'aiming for tailored coordination'. A lack of training and experience in CPC is widespread among the coordinators. Additionally, the municipal systems seem inadequately developed to address the needs of children in palliative care and their families. CONCLUSION: Strengthening coordination in municipalities for children in palliative care and their families requires that coordinators receive systematic training in CPC and further development of their support systems.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.042
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.065
GPT teacher head0.423
Teacher spread0.357 · 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.

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

Citations2
Published2025
Admission routes1
Has abstractyes

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