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Record W4399793275 · doi:10.1093/jsxmed/qdae054.072

(077) WOMEN'S SEXUAL HEALTH: AN INTRODUCTION TO A BIOPSYCHOSOCIAL LECTURE FOR EARLY HEALTHCARE TRAINING

2024· article· en· W4399793275 on OpenAlexaboutno aff
E Martinbianco, Mary R. Lynn

Bibliographic record

VenueThe Journal of Sexual Medicine · 2024
Typearticle
Languageen
FieldMedicine
TopicSex and Gender in Healthcare
Canadian institutionsnot available
Fundersnot available
KeywordsCurriculumBiopsychosocial modelMedical educationReproductive healthHealth careFamily medicineMedicinePsychologyGerontologyPopulationNursingPedagogyPolitical sciencePsychiatryEnvironmental health

Abstract

fetched live from OpenAlex

Abstract Introduction In 2009, The International Consultation in Sexual Medicine called for the implementation of a greatly expanded, national standard on sexual health education across the nation within medical schools (E Coleman et al. 2013). Yet, over half of medical students throughout the United States and Canada feel that their medical school education left them inadequately prepared to address their patients’ sexual health concerns (Shindel AW et al. 2010). A 2022 study illustrates that outside of basic female anatomy, over half of the Chicago area medical schools failed to address female sexual functioning in their curriculum (N Codispoti et al 2022). Furthermore, today's physicians share similar qualms, as they cite lack of education and training on sexual health as leading to barriers to care and a decrease in screening for sexual dysfunction (Parish SJ et al 2009). Our study delineates a proposed curriculum, analyzing for efficacy as well as the students perceived comfort with addressing this topic in clinic and their perspectives on its importance to their education. Objective Assess the need for curriculum supplementation based on student baseline knowledge and comfort with the topic of women's sexual health. Establish the supplemental curriculum, analyzing for efficacy of education and improved student comfort with addressed topics. Integration of supplemental curriculum into study location medical school curriculum and standardization to all area medical school curriculums. Methods This self controlled, cross-sectional, survey study investigates first year medical students' initial education level and perspectives on womens’ sexual function (WSF) and womens’ sexual dysfunction (WSD), and their post education knowledge level and perspective. The study team recruited 50 students for our study, approximately one third of the class. The study outcomes were assessed for the efficacy of each of the teaching materials through content based quiz questions, as well as the students perceived comfort with addressing this topic in clinic and their perspectives on its importance to their education as compared to the pre-education survey. Results The study resulted in statistically significant improvement from the pretest knowledge in subjects of postmenopausal atrophic vaginitis, perimenopausal risk factors and preventative care, and female HPG axis-based pubertal development. Notably within the demographic assessment, all medical specialties were selected as “of interest” by at least one participant. The participants also assessed that overall women’s sexual health should be taught in their preclinical curriculum and is valuable to their future career, despite the widely varied fields of medicine within interest. Conclusions With statistically significant improvement in knowledge of women’s sexual development and function through our proposed curriculum, we aim to advocate for implementation of a standardized preclinical women’s sexual health curriculum. Furthermore, our ongoing studies focus on the development of a curriculum directed at the pathology and treatments of female sexual dysfunction from a biopsychosocial perspective, resulting in a comprehensive curriculum. Disclosure No.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.108
Threshold uncertainty score0.362

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.1080.024

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 head0.125
GPT teacher head0.415
Teacher spread0.290 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2024
Admission routes1
Has abstractyes

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