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Record W2180754851 · doi:10.3402/qhw.v10.28915

Shared topics on the experience of people with haemophilia living in the UK and the USA and the influence of individual and contextual variables: Results from the HERO qualitative study

2015· article· en· W2180754851 on OpenAlexaff
Laura Palareti, Silvia Potì, F. Cassis, Francesca Emiliani, Davide Matino, Alfonso Iorio

Bibliographic record

VenueInternational Journal of Qualitative Studies on Health and Well-Being · 2015
Typearticle
Languageen
FieldMedicine
TopicHemophilia Treatment and Research
Canadian institutionsMcMaster University
Fundersnot available
KeywordsHEROQualitative researchHaemophiliaPsychologyDevelopmental psychologySociologyMedicinePediatricsArtSocial scienceLiterature

Abstract

fetched live from OpenAlex

The study illuminates the subjective experience of haemophilia in people who took part in the Haemophilia Experience, Results and Opportunities (HERO) initiative, a quali-quantitative research program aimed at exploring psychosocial issues concerning this illness around the world. Applying a bottom-up analytic process with the help of software for textual data, we investigated 19 interviews in order to describe the core themes and the latent factors of speech, to explore the role of different variables in shaping the participants' illness experiences. The five themes detected are feeling different from others, body pain, acquisition of knowledge and resources, family history, and integration of care practices in everyday life. We illustrate how nationality, age, family situation, the use of prophylaxis or on-demand treatment, and the presence of human immunodeficiency virus or hepatitis C virus affect the experience of our participants in different ways. Findings are used to bring insights on research, clinical practice, and psychosocial support.

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)0.010
metaresearch head score (Gemma)0.007
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 score0.059
Threshold uncertainty score0.789

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.142
GPT teacher head0.464
Teacher spread0.322 · 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

Citations22
Published2015
Admission routes1
Has abstractyes

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