Therapeutic journey of adolescents and young adults with severe dysmenorrhea and endometriosis
Bibliographic record
Abstract
Introduction: We aimed to appreciate the diagnostic and therapeutic journey of young women with endometriosis including disease presentation, obstacles to diagnosis and management, and impact on their life. Methods: We employed a mixed-method design, including chart review, 94-item questionnaire assembled from components of the EPHect EPQ-S and semi-structured interviews. The study setting was Kingston Health Sciences Centre in Kingston, Ontario. Participants were women under 28 years with severe dysmenorrhea. Questionnaire data was analyzed using descriptive statistics. Interviews were coded using the constant comparative analysis method by two analyzers and inter-rater reliability was calculated, then data were compared using a cross-sectional method. Results: Twenty-four participants were identified through chart review, 10 completed the questionnaire, and 5 participated in the interviews. Questionnaire participants, mean age 24.5 years ± 2.3, reported initial pelvic pain at a mean age of 13.9 years (SD 1.9). Fifty percent of participants have an endometriosis diagnosis, at a mean age of 19.2 years (SD 2.6). Three major themes emerged from our analysis. The journey with disease and therapy begins long before diagnosis and creates a culture of self-directed care. Lack of knowledge about endometriosis and women’s health by health care professionals and the public delays diagnosis and therapy. Endometriosis broadly impacts every aspect of an individual’s life. Conclusion: We found that young adults with severe dysmenorrhea and/or endometriosis present with symptoms at a young age. They encounter multiple obstacles in reaching a diagnosis and obtaining therapy. They often self-manage their pelvic pain and experience reduced quality of life.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".