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Record W2070164899 · doi:10.1002/pdi.931

What do men with diabetes and erectile dysfunction think about the services they receive?

2006· article· en· W2070164899 on OpenAlexfundno aff
Moira McMurray, Mark Davies

Bibliographic record

VenuePractical Diabetes International · 2006
Typearticle
Languageen
FieldMedicine
TopicSexual function and dysfunction studies
Canadian institutionsnot available
FundersQueen's UniversityQueen's University BelfastDiabetes UK
KeywordsMedicineErectile dysfunctionDiabetes mellitusInternal medicineIntensive care medicineEndocrinology

Abstract

fetched live from OpenAlex

Men with diabetes experience higher levels of sexual health problems than other men. It is because of this that, at routine consultations with men with diabetes, it is recommended that health care professionals discuss sexual health issues. Previous research shows this area of health is often not raised at such consultations. This research used a postal questionnaire to survey the experience of men with diabetes in Northern Ireland as regards support for sexual health issues, additionally seeking the men's opinions on how they feel services should be developed to better meet their needs. Potential participants were contacted using the Diabetes UK (Northern Ireland) database; of the 2048 men contacted, 435 returned questionnaires. Consistent with previous research, the men in our sample had rarely been offered information or support regarding sexual health issues. Those who had been, however, indicated they were largely satisfied with the service. Suggestions about service development fell into four broad categories: improved communication and provision of information, opportunities for psychological and emotional support, no need for change, and improvements to treatments/service systems. Copyright © 2006 John Wiley & Sons, Ltd.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.241
Threshold uncertainty score0.947

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 communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.016
GPT teacher head0.289
Teacher spread0.273 · 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

Citations1
Published2006
Admission routes1
Has abstractyes

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