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Record W3206009290 · doi:10.2478/jhp-2021-0013

Haemophilia specialist nurses’ perceptions of haemophilia B

2021· article· en· W3206009290 on OpenAlexaffabout
Steve Chaplin, Maj Friberg Birkedal, Erica Crilly, Simon Fletcher, Sara García Barcenilla, Greta Mulders, Linda Myrin Westesson, Debra Pollard, Anna Sanigorska, Nanda Uitslager

Bibliographic record

VenueThe Journal of Haemophilia Practice · 2021
Typearticle
Languageen
FieldMedicine
TopicHemophilia Treatment and Research
Canadian institutionsBC Children's Hospital
FundersSwedish Orphan Biovitrum
KeywordsHaemophiliaMedicineHaemophilia BHaemophilia AFamily medicineCompetence (human resources)PerceptionCredentialingPediatricsNursingPsychologySocial psychology

Abstract

fetched live from OpenAlex

Abstract Introduction Some clinicians believe that haemophilia B is associated with less bleeding than haemophilia A, yet there appears to be little difference in health-related outcomes. Current clinical practice reduces the risk of bleeds, making differences difficult to measure. We surveyed specialist haemophilia nurses to discern their opinions about the impact of haemophilia B compared to haemophilia A. Methods Between July and September 2020, European and Canadian nurses were invited to complete an online survey (25 questions) about perceptions of management and treatment of haemophilia B. Results Fifty-nine nurses (46 European, 13 Canadian) completed the survey. Bleeding was reported as different in haemophilia B by 37% of respondents, and treatment as different by over half. Opinions and experience around using extended half-life (EHL) products varied. Self-reported confidence in using EHL products was rated at a mean of 7.1 (range 3–10) with 47% believing these would remain the optimal treatment in 2025. Conclusion Some nurses believe haemophilia A and B are managed differently. Variations in experience and levels of confidence in the use of EHL products, combined with a belief that these products will remain an optimal treatment for haemophilia B for the next five years, indicates a need for education to promote confidence and competence.

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)0.003
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.283
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.033
GPT teacher head0.364
Teacher spread0.332 · 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 designNot applicable
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

Citations1
Published2021
Admission routes2
Has abstractyes

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