Profile of Female Sexual Function: a patient-based, international, psychometric instrument for the assessment of hypoactive sexual desire in oophorectomized women
Bibliographic record
Abstract
In Brief Objective: The purpose of this study was to develop a self-administered, patient-based questionnaire to assess loss of sexual desire and associated symptoms in postmenopausal women with hypoactive sexual desire disorder (HSDD) experiencing distress. Design: Preliminary items and domains of sexual function were identified through individual and focus group interviews with postmenopausal women in the United States and Europe. A subset of items was selected for translation and further analysis. Cognitive interviews were conducted with women with HSDD and non-HSDD women in eight countries to ensure items would have the same meaning in seven languages. The resulting instrument was tested in 325 oophorectomized women with HSDD and 255 age-matched nonoophorectomized control women in the United States, Canada, Europe, and Australia. Results: Psychometric item reduction analyses resulted in 37 items organized into seven domains characterizing female sexual function in postmenopausal women with HSDD. Excellent reliability and validity of the domains of the Profile of Female Sexual Function (PFSF) were observed in all geographic areas tested. Statistically significant differences between oophorectomized women with low libido and control women were found for all domains and all geographic areas. Conclusions: The PFSF is a new instrument specifically designed for measurement of sexual desire in oophorectomized women with low libido. Robust psychometric properties have been established in a large number of geographic regions and languages, making it useful for assessing therapeutic change in multinational clinical trials. The Profile of Female Sexual Function is a new instrument specifically designed for the measurement of sexual desire in oophorectomized women with low libido. Robust psychometric properties have been established in a large number of languages and geographic areas, making it useful for assessing therapeutic change in multinational clinical trials.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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".