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PB1980 IMPROVING HEALTHCARE PROVIDERS’ KNOWLEDGE REGARDING THE PRINCIPLES OF GENE THERAPY FOR HEMOPHILIA THROUGH ONLINE EDUCATION

2019· article· en· W2949689749 on OpenAlexaff
Samia Hurst, Charlotte Warren, Haleh Kadkhoda, E. VanLaar, Glenn F. Pierce

Bibliographic record

VenueHemaSphere · 2019
Typearticle
Languageen
FieldEngineering
TopicBiomedical and Engineering Education
Canadian institutionsCanadian Hemophilia Society
Fundersnot available
KeywordsHaemophiliaMedicineCurriculumContinuing medical educationCertificationTest (biology)Health careFamily medicineMultiple choiceMedical educationContinuing educationInternal medicinePediatricsPsychologySignificant difference

Abstract

fetched live from OpenAlex

Background: Gene therapy offers the hope of a functional cure for hemophilia. To prepare healthcare providers (HCPs) for this potential paradigm shift in care, National Hemophilia Foundation (NHF), European Haemophilia Consortium (EHC), the World Federation of Hemophilia (WFH), and Medscape Education collaborated to develop a multi‐modal, online, continuing medical education (CME) curriculum. Aims: The current study assessed the ability of online CME to improve HCPs knowledge regarding the scientific principles underlying gene therapy overall and its study in hemophilia. Methods: A 15‐minute, CME‐certified video commentary with synchronized slides was developed and launched online on 8/3/2018. Educational effectiveness was assessed with a repeated‐pairs pre‐/post‐assessment study design, in which each individual served as his/her own control. Responses to 3 multiple‐choice, knowledge questions and 1 self‐efficacy confidence question were analyzed. A chi‐squared test assessed changes pre‐ to post‐assessment. P values <0.05 are statistically significant. Effect sizes were evaluated using Cramer's V (<0.05 modest; 0.06‐0.15 noticeable effect; 0.16‐0.26 considerable effect; >0.26 extensive effect). Results: To date, 1634 HCPs (958 physicians) have participated in this activity. This analysis presents data from the subset of hematologists/oncologists (n = 77; hem/oncs) and pediatric oncologists (n = 69) who answered all pre‐/post‐assessment questions during the initial analysis period of 8/3/18‐9/5/18; data collection is ongoing. Significant improvements were observed overall (hem/oncs: P = .0007; V = .156) and in the following areas, ‐ Correct identification of transient transaminitis as the most common adverse event observed in gene therapy trials: hem/oncs: 45% vs 73% (62% relative increase), P = 0.0006, V = .277; and pediatric hematologists: 26% vs 43% (% relative increase), P = .032, V = .181 ‐ Recognition of the relatively low homology between the adeno‐associated virus (AAV) vector used in gene therapy trials for hemophilia A (AAV5) and other primate AAVs: hem/oncs: 36% vs 55% (53% relative increase), P = 0.023, V = .182 ‐ Pediatric hematologists exhibited a small increase in knowledge, but this change was not statistically significant: 33% vs 41% (24% relative increase), P = NS ‐ Both of hem/oncs (39%) and pediatric hematologists (32%) indicated increased confidence in their understanding of the science underlying gene therapy in hemophilia Lastly, the findings uncovered educational needs, such as the understanding of the FIX construct currently under study in hemophilia B trials. Summary/Conclusion: Participation in this online activity significantly improved knowledge among hem/oncs and pediatric hematologists with regard to the adverse events, viral vectors, and gene constructs in current clinical trials for gene therapy in hemophilia.

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.724
Threshold uncertainty score0.426

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 head0.026
GPT teacher head0.268
Teacher spread0.242 · 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 designOther design
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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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