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Record W1963483348 · doi:10.1177/1043454212438405

Health Care Providers’ Perspectives About Working With Parents of Children With Cancer

2012· article· en· W1963483348 on OpenAlexaff
Anne F. Klassen, Sonia Gulati, David Dix

Bibliographic record

VenueJournal of Pediatric Oncology Nursing · 2012
Typearticle
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsUniversity of British ColumbiaMcMaster University
Fundersnot available
KeywordsInterviewBurnoutQualitative researchNursingPalliative carePsychologyPerspective (graphical)Health careGrounded theoryCoding (social sciences)Social workMedicineClinical psychology

Abstract

fetched live from OpenAlex

Research to understand the sources of stress and job satisfaction in pediatric oncology staff is limited. The aim of the authors' qualitative study was to describe the key work-related demands and rewards in relation to working closely with parents from the perspective of health care providers (HCPs). Semistructured interviews were conducted with 13 doctors, 9 nurses, 5 social workers, and 6 child life specialists. Line-by-line, focused, and theoretical coding was used to establish categories and themes. Constant comparisons were used to examine the relationships within and across codes and categories. Interviewing continued until no new themes emerged. HCPs found it rewarding when they established close or long-term relationships with parents and to helped families through the entire cancer journey, including palliative care. HCPs found it challenging to work with complex families; with parents who are demanding, rude, or angry; with parents who have differing views about the treatments and palliative care; and with having to relay bad news to parents. Future research could explore the relationship between the factors that the authors have identified and burnout syndrome.

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)0.000
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 score0.071
Threshold uncertainty score0.636

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.032
GPT teacher head0.372
Teacher spread0.339 · 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

Citations43
Published2012
Admission routes1
Has abstractyes

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