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Record W3037802965 · doi:10.1177/1049909120935833

A Retrospective Thematic Analysis of Patient, Family, and Staff Creative Art Tiles Developed on a Tertiary Palliative Care Unit

2020· article· en· W3037802965 on OpenAlexaff
Andrew Collins, Sandy Ayre, Tiffany Brulotte, Kim Crowe, Cheryl Nekolaichuk

Bibliographic record

VenueAmerican Journal of Hospice and Palliative Medicine® · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicArt Therapy and Mental Health
Canadian institutionsCovenant HealthGrey Nuns Community HospitalUniversity of Alberta
Fundersnot available
KeywordsPalliative careThematic analysisThe artsTertiary careMedicineNursingSpiritualityUnit (ring theory)Family memberExpression (computer science)Family medicinePsychologyVisual artsSociologyQualitative researchAlternative medicineSocial scienceArt

Abstract

fetched live from OpenAlex

OBJECTIVES: Clinical use of the creative arts in palliative care is well established, yet there are few evaluation studies of these programs. METHODS: In this first phase of a 3-phase evaluation of a creative arts program entitled "Tile Tales," we conducted a retrospective thematic analysis of 85 painted tiles and accompanying stories that were publically displayed on a tertiary palliative care unit. Each story was independently coded, using content analysis. Themes were derived through consensus, using the constant comparative method. RESULTS: Tiles were created by staff (n = 36, 42%), family (n = 32, 38%), patients (n = 9, 11%), or patients and family (n = 8, 9%). Six major themes emerged from the artwork: "Spirituality," "Relationships," "Journey," "Story," "Symbolism," and "Paradox." SIGNIFICANCE OF RESULTS: These results illustrate how the creative arts can support the expression of diverse palliative care experiences, for patients, their families and palliative care staff, when words alone may not suffice.

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)0.022
metaresearch head score (Gemma)0.039
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.116

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0220.039
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0070.007
Science and technology studies0.0050.004
Scholarly communication0.0020.002
Open science0.0020.005
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.050
GPT teacher head0.310
Teacher spread0.261 · 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 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

Citations4
Published2020
Admission routes1
Has abstractyes

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Same venueAmerican Journal of Hospice and Palliative Medicine®Same topicArt Therapy and Mental HealthFrench-language works237,207