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Record W4411268055 · doi:10.1177/17455057251331697

Patient-identified priorities for a mental health program tailored to premenstrual dysphoric disorder

2025· article· en· W4411268055 on OpenAlexafffund
Sneha Chenji, Christine Bueno, May Ly, Sandi MacDonald, Rebekka Chartier, Catherine Lunn, Jennifer L. Gordon

Bibliographic record

VenueWomen s Health · 2025
Typearticle
Languageen
FieldMedicine
TopicMenstrual Health and Disorders
Canadian institutionsUniversity of Regina
FundersSaskatchewan Health Research Foundation
KeywordsPremenstrual dysphoric disorderMental healthMedicineUrogynecologyPsychiatryFamily medicineMenstrual cycleInternal medicine

Abstract

fetched live from OpenAlex

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.895
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
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 head0.013
GPT teacher head0.363
Teacher spread0.350 · 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.

Study designNot applicable
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

Citations3
Published2025
Admission routes2
Has abstractyes

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