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Record W4415256366 · doi:10.2196/77621

Measuring FVIII Activity and Thrombin Generation Simultaneously With a Novel Point of Care Platform (EnzySystem HemA): Qualitative Usability Evaluation

2025· article· en· W4415256366 on OpenAlexvenueno aff
Aernoud Pieter Bavinck, Saskia E.M. Schols, Wilfred Teunissen, Amy D. Shapiro, Nicole M. A. Blijlevens, King Davis, Waander L. van Heerde

Bibliographic record

VenueJMIR Formative Research · 2025
Typearticle
Languageen
FieldMedicine
TopicHemophilia Treatment and Research
Canadian institutionsnot available
Fundersnot available
KeywordsUsabilityPoint of careUsability goalsPoint (geometry)Point-of-care testingHeuristic evaluationUsability inspection

Abstract

fetched live from OpenAlex

Background: Hemophilia A is an inherited bleeding disorder with an increased risk of excessive bleeding. People affected by hemophilia A with a severe bleeding phenotype are treated prophylactically with hemostatic agents. Monitoring treatment and adjusting it to the individual patient's needs is complicated by the scarcity of laboratories equipped to perform relevant coagulation assays and the absence of point-of-care testing platforms. A novel near-patient testing platform called the EnzySystem HemA aims to address this issue by measuring factor VIII (FVIII) activity and thrombin generation within 1 hour of 100 µL of whole blood. Objective: This study assessed the usability of the EnzySystem HemA by health care professionals without prior training and gathered information on its perceived usability, effectiveness, usefulness, and acceptability. Methods: A qualitative, single-center formative usability assessment was performed. Participants performed an FVIII activity assay with a mockup of the EnzySystem HemA and were interviewed about its acceptability, usability, effectiveness, and usefulness. Video recordings of the sessions were obtained with permission and subsequently reviewed to assess usability; thematic analysis was performed on the interview transcripts. Results: A total of 7 health care providers participated, all unaffiliated with the EnzySystem's developer. Participants included 1 (14%) pediatric hematologist, 3 (43%; pediatric) nurses, and 3 (43%; pediatric) nurse practitioners. Two (29%) of the participants also held management positions. Five (71%) participants successfully performed the FVIII activity assay as intended. Of the remaining 2 participants, one applied insufficient force when inserting the blood tube, whereas the other was unable to transfer the blood into the EnzySystem. This latter step caused difficulties in 3 (60%) other participants; however, they completed it correctly. Five (71%) participants did not dispose of the EnzySystem components as intended, primarily due to compatibility issues of the disposable parts with the inlet of the US standard medical waste containers. Five themes were generated from the interviews: functional the way it is focuses on the acceptance of the prototype despite suggestions for various improvements, utility through faster results and increased access and potential for patient engagement relate to the envisioned benefits of the platform, and financial investment and return and ensuring accuracy reflect on potential barriers for implementation. Conclusions: Despite significant usability issues, the need for faster and more accessible testing led participants to conclude that the current platform was acceptable for use, provided that proof of assay accuracy was demonstrated. The results of this study will form the basis for further development of the EnzySystem HemA. The effectiveness of any updates will be evaluated in future usability studies, which will also include people with hemophilia A as participants.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.044
metaresearch head score (Gemma)0.042
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.044
Threshold uncertainty score0.234

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0440.042
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0030.005
Scholarly communication0.0020.002
Open science0.0010.004
Research integrity0.0010.001
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 head0.203
GPT teacher head0.476
Teacher spread0.274 · 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 source (direct Gemma or distilled Codex), 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".

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Citations2
Published2025
Admission routes1
Has abstractyes

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