Psychological and interpersonal dimensions of sexual function and dysfunction: recommendations from the fifth international consultation on sexual medicine (ICSM 2024)
Bibliographic record
Abstract
INTRODUCTION: Sexual health concerns are common and significantly impact quality of life, but many people do not seek treatment due to embarrassment and other barriers. A biopsychosocial model of assessment and treatment acknowledges the biological, psychological, and social contributors to sexual difficulties and suggests that all these domains should be evaluated. OBJECTIVES: This paper provides an overview of the major psychological factors contributing to sexual difficulties and offer an evidence-based approach for primary care clinicians to assess and treat these issues. METHODS: A comprehensive literature review was undertaken focusing on articles published since the last consultation in 2016. The study findings were synthesized, critiqued, authors assigned a Grading of Recommendation as Weak or Strong following a year-long process of discussions among the committee. When a particular well-established psychological practice was not evaluated in the literature, we assigned an expert opinion recommendation. RESULTS: Since the 2015 ICSM, there have been a number of high-quality trials of psychological treatments addressing sexual dysfunctions, as well as meta-analyses and systematic reviews. In some domains, there is strong evidence of psychological treatment, and primary care providers should be aware of such approaches and refer when appropriate. CONCLUSIONS: This paper offers a practical guide for primary care clinicians to understand the psychological factors underlying sexual dysfunction and outlining what approaches may be appropriate for this clinician, and when the patient should be referred to a specialist. We emphasize an evidence-based approach to managing sexual dysfunctions in primary care, allowing for timely interventions. A comprehensive evaluation of biopsychosocial factors is recommended to personalize psychological interventions to overall context, including chronic diseases, mental health issues, and relationship conflicts. The initial assessment is key to developing an individualized intervention plan, which may include psychoeducation, referral for cognitive-behavioral therapy, mindfulness, or couple therapy, and consideration of medical or digital health interventions.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.033 | 0.119 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.010 |
| Bibliometrics | 0.013 | 0.007 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.008 | 0.006 |
| Research integrity | 0.017 | 0.013 |
| Insufficient payload (model declined to judge) | 0.015 | 0.005 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".