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Record W4280538082 · doi:10.1177/10497323221097247

Palliative Professionals’ Experiences of Receiving Gratitude: A Transformative and Protective Resource

2022· article· en· W4280538082 on OpenAlexaff
María Aparicio, Carlos Centeno, Carole A. Robinson, María Arantzamendi

Bibliographic record

VenueQualitative Health Research · 2022
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare professionals’ stress and burnout
Canadian institutionsUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
Fundersnot available
KeywordsGratitudeThematic analysisPalliative carePsychologyTransformative learningHealth professionalsQualitative researchInterpretative phenomenological analysisBurnoutHealth careSocial psychologyMedicineNursingClinical psychologyDevelopmental psychologySociology

Abstract

fetched live from OpenAlex

Providing palliative care can be both challenging and rewarding. It involves emotionally demanding work and yet research shows that burnout is lower than in other fields of health care. Spontaneous expressions of gratitude from patients and family members are not uncommon and are highly valued. This study explored the experience of Spanish palliative professionals who received expressions of gratitude from their patients and families. A phenomenological approach was used to better understand the role of receiving gratitude in participants' lives. Interviews were transcribed verbatim and a phenomenological approach to analysis was undertaken using macro-thematic and micro-thematic reflection. Two team members independently engaged in this reflection with an inductive approach. The analysis was shared and discussed at periodic meetings to identify the key themes and sub-themes of the gratitude experience. Ten palliative professionals were interviewed. Participants engaged in a process of recognizing, internalizing, and treasuring the expressions of gratitude which they then used for reflection and growth. These expressions were a powerful and deeply meaningful resource that the palliative professionals revisited over time. Receiving expressions of gratitude invited a stronger sense of the value of one's self and one's work that was motivational and protective, particularly during challenging times.

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)0.032
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.057
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0320.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0090.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.005
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 head0.427
GPT teacher head0.636
Teacher spread0.209 · 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

Citations16
Published2022
Admission routes1
Has abstractyes

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