Patient-identified priorities for a mental health program tailored to premenstrual dysphoric disorder
Bibliographic record
Abstract
BACKGROUND: There are no mental health programs tailored to premenstrual dysphoric disorder (PMDD). OBJECTIVES: Examine the content and features that PMDD patients desire in a mental health program. DESIGN: Anonymous online survey. METHODS: A survey, co-developed with PMDD patients, was distributed to followers of the International Association for Premenstrual Disorders (IAPMD) on social media. Respondents rated the importance of addressing various PMDD symptoms, psychosocial consequences, psychoeducational topics, and their preference for various techniques and features. RESULTS: In total, 308 respondents rated suicidality, feelings of hopelessness and anxiety, and impacts on one's relationship with one's partner and children as important content areas for a PMDD-tailored mental health program. Providing evidence-based information and teaching techniques for managing distressing thoughts and emotions were also highly desired. CONCLUSION: Our findings help inform the development of a new mental health program that specifically addresses the unique emotional and psychosocial challenges associated with PMDD.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".