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Record W3008969662 · doi:10.1111/hex.13043

Patient knowledge, experiences and preferences regarding retinoblastoma and research: A qualitative study

2020· article· en· W3008969662 on OpenAlexafffundabout
Catherine Moses, Kaitlyn Flegg, Helen Dimaras

Bibliographic record

VenueHealth Expectations · 2020
Typearticle
Languageen
FieldMedicine
TopicOcular Oncology and Treatments
Canadian institutionsInstitute for Clinical Evaluative SciencesCentre for Global Health ResearchHospital for Sick ChildrenPublic Health OntarioUniversity of Toronto
FundersCanadian Institutes of Health Research
KeywordsRetinoblastomaFocus groupThematic analysisExperiential knowledgeQualitative researchExperiential learningPsychologyMedicineMedical educationNursingPedagogySociology

Abstract

fetched live from OpenAlex

BACKGROUND: We launched a patient engagement strategy to facilitate research involvement of the retinoblastoma (childhood eye cancer) community in Canada. To inform our strategy, we aimed to uncover the experiences with retinoblastoma, knowledge of retinoblastoma and research engagement among retinoblastoma survivors and parents. METHODS: Focus groups were held in Toronto and Calgary, including both in-person and remote participants (via videoconference). Discussions centred on experience with retinoblastoma, knowledge of the disease and engagement with research. Focus group transcripts were evaluated by inductive thematic analysis. RESULTS: Four focus groups (3 in Toronto, 1 in Calgary) were held with a collective total of 34 participants. Retinoblastoma had a substantial impact on the life of participants, but overall, patients reported being able to adapt and persevere. Experiential knowledge of retinoblastoma was identified as distinct from the theoretical knowledge held by their clinicians. Participants indicated they often acted as a knowledge broker, communicating information about the cancer to their social networks. Participants were willing to engage in research as partners, but recognized barriers such as time and appropriate training. CONCLUSIONS: Patients view their experiential knowledge of retinoblastoma as valuable to improving care and directing research. There is a unique role for research engagement in meeting the educational needs of patients.

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)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.011
Threshold uncertainty score0.354

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.199
GPT teacher head0.499
Teacher spread0.300 · 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 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

Citations12
Published2020
Admission routes3
Has abstractyes

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