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Record W4220859687 · doi:10.1097/njh.0000000000000823

Moving and Handling Children After Death: An Inductive Thematic Analysis of the Factors That Influence Decision Making by Children's Hospice Staff

2021· article· en· W4220859687 on OpenAlexaff
Michael J Tatterton, Alison Honour, Lorna Kirkby, David P. Billington

Bibliographic record

VenueJournal of Hospice and Palliative Nursing · 2021
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsMerck Canada Inc. (Canada)
Fundersnot available
KeywordsThematic analysisCompetence (human resources)PsychologyPerceptionBedroomNursingMedical educationMedicineQualitative researchSocial psychology

Abstract

fetched live from OpenAlex

Hospices for children and adolescents in the United Kingdom provide care to the bodies of deceased children in specially designed chilled bedrooms called “cool rooms.” In an effort to develop resources to support hospice practitioners to provide this specialist area of care, this study aimed to identify the factors that influence decision making when moving and handling children's bodies after death in a hospice cool bedroom. An internet-based survey was sent to all practitioners employed by 1 children's hospice. A total of 94.9% of eligible staff responded (n = 56). An inductive approach to thematic analysis was undertaken, using a 6-phase methodological framework. Three core themes were identified that inform practitioners' perception of the appropriateness of moving and handling decisions: care of the body, stages of care, and method of handling. The complexity of decision making and variation in practice was identified. Practitioners relied on both analytical and initiative decision making, with more experienced practitioners using an intuitive approach. Evidence-based policy and training influence the perception of appropriateness and the decisions and behavior of practitioners. The development of a policy and education framework would support practitioners in caring for children's bodies after death, standardizing expectations and measures of competence in relation to moving and handling tasks.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.582

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.045
GPT teacher head0.382
Teacher spread0.337 · 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

Citations3
Published2021
Admission routes1
Has abstractyes

Explore more

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