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Record W2944707019 · doi:10.12968/bjca.2019.0008

Assessing and addressing sexual concerns in individuals diagnosed with coronary artery disease

2019· article· en· W2944707019 on OpenAlexafffund
Marc‐André Maheu‐Cadotte, Guillaume Fontaine, Caroline Duchaine, Natacha Durel, Claudie Roussy, Tanya Mailhot

Bibliographic record

VenueBritish Journal of Cardiac Nursing · 2019
Typearticle
Languageen
FieldMedicine
TopicSexual function and dysfunction studies
Canadian institutionsUniversité du Québec à MontréalUniversité de MontréalHealth Sciences NorthCentre Hospitalier de l’Université de MontréalMontreal Heart Institute
FundersInstitut de Cardiologie de MontréalMinistère de l'Éducation et de l'Enseignement supérieurFondation Institut de Cardiologie de MontréalUniversité de MontréalRéseau de recherche portant sur les interventions en sciences infirmières du Québec
KeywordsMedicineOrgasmDiseaseReproductive healthFeelingCoronary artery diseasePopulationAnxietyEtiologySexual dysfunctionPsychiatryClinical psychologyPsychologyPathologySocial psychology

Abstract

fetched live from OpenAlex

Background/Aims Sexual concerns are frequently reported in people diagnosed with coronary artery disease. These concerns may be related to disorders in one or more phases of the sexual response cycle (i.e. desire, arousal and orgasm). Sexual concerns have been linked to anxiety, depressive symptoms and feelings of despair. As such, nurses should have an understanding of the aetiology of sexual concerns in this population and use appropriate assessment and support strategies. Methods This clinical article discusses several key aspects of evidence-based practice to assess and address sexual concerns in people diagnosed with coronary artery disease. Findings Early assessment of biological, psychological and pharmacological causes of sexual concerns should be carried out. Sexual counselling may be offered to meet specific information needs. Adding pharmacological agents and referring to a sex therapist can be considered to effectively address the sexual concerns of people within this population. Conclusions Approaches to sexual assessment, main information needs of patients with coronary artery disease regarding their sexual health, and support strategies are presented.

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 score0.173
Threshold uncertainty score0.499

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
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 head0.040
GPT teacher head0.324
Teacher spread0.284 · 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
Published2019
Admission routes2
Has abstractyes

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