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Record W2968258282 · doi:10.2147/prom.s211339

<p>Hemophilia and sexual health: results from the HERO and B-HERO-S studies</p>

2019· article· en· W2968258282 on OpenAlexaff
Greig Blamey, Cathy Buranahirun, A. Buzzi, David L. Cooper, Susan Cutter, S. Geraghty, Hossam Saad, Renchi Yang

Bibliographic record

VenuePatient Related Outcome Measures · 2019
Typearticle
Languageen
FieldMedicine
TopicHemophilia Treatment and Research
Canadian institutionsHealth Sciences Centre
FundersNovo Nordisk
KeywordsHEROMedicineReproductive healthSexual lifeQuality of life (healthcare)PediatricsGynecologyPopulationEnvironmental healthNursing

Abstract

fetched live from OpenAlex

BACKGROUND: Sexual health plays a primary role in quality of life (QoL) for many people, including those with hemophilia; however, there is little information available about sexual relationships and satisfaction in patients with hemophilia. METHODS: To address this issue, the Hemophilia Experiences, Results and Opportunities (HERO) and the Bridging Hemophilia B Experiences, Results and Opportunities into Solutions (B-HERO-S) studies included questions from the Male Sexual Health Questionnaire (MSHQ). RESULTS: Although these data were not statistically analyzed for comparisons between the 3 populations (HERO, HERO US only, and B-HERO-S), in general, participants in the HERO survey appeared to be more satisfied with their sexual relationship than participants in the B-HERO-S survey. In addition, many patients, especially those outside the United States, reported that they had not discussed sexual health with their doctor or other members of the hemophilia treatment center team. While the topic of sexual health has been infrequently explored in men with hemophilia, this is the first time it has been investigated in women with hemophilia. CONCLUSION: The results of these studies demonstrate that the impact of hemophilia extends to intimacy and suggest the need for large-scale studies in additional countries to explore further the factors associated with sexual health issues in people with 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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.111
Threshold uncertainty score0.923

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.085
GPT teacher head0.331
Teacher spread0.246 · 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 designObservational
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

Citations21
Published2019
Admission routes1
Has abstractyes

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