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Record W4300991616 · doi:10.26443/msurj.v13i1.28

Effectiveness of Behavioural Intervention as Treatment for the Vasovagal Response in Blood Donation

2018· article· en· W4300991616 on OpenAlexaffabout
Kristina Wade, Blaine Ditto

Bibliographic record

VenueMcGill Science Undergraduate Research Journal · 2018
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicBlood donation and transfusion practices
Canadian institutionsMcGill University
Fundersnot available
KeywordsFaintingDonationBlood donorMuscle tensionPsychological interventionMedicinePhysical therapyBlood pressureIntervention (counseling)PsychologyAnesthesiaInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

Background: The experience of a vasovagal reaction during blood donation, with symptoms such as dizziness, weakness, and fainting, contributes to a more negative donation experience and significantly decreases the likelihood of blood donor return. This study investigates the effects of two behavioural interventions on reducing the occurrence of such reactions, applied muscle tension and respiration control, and possible moderation of these effects by sex, BMI, and medical fear. Methods: Six hundred and eleven participants were recruited from Héma-Québec blood drives across Montreal and randomly assigned one of four conditions: applied muscle tension, an anti-hyperventilation respiration control procedure, both techniques, or neither. Following their donation, participants completed the Blood Donations Reactions Inventory and Medical Fears Survey. Analysis focuses on the respiration control and applied tension groups. Results: While donor sex and BMI did not predict the effectiveness of applied muscle tension intervention, results showed that the largest benefit was seen in donors who reported lower levels of medical fears in the respiration control condition group. Limitations/Conclusions: The results are promising in that they suggest that intervention can decrease the risk for vasovagal symptoms in blood donation, though it may not be sufficient to reduce symptoms in donors with high levels of medical fear.

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)0.020
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.510
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0200.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0000.002
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 head0.116
GPT teacher head0.395
Teacher spread0.279 · 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 designTheoretical or conceptual
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
Published2018
Admission routes2
Has abstractyes

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