Validation Study of the Heavy Menstrual Bleeding Questionnaire in Adolescents
Bibliographic record
Abstract
Introduction Heavy menstrual bleeding (HMB) is a common problem among adolescent girls that affects many aspects of their lives. Estimating the effect of HMB on health-related quality of life (HRQoL) is important but challenging, as there is no instrument that measures menstrual bleeding-specific HRQoL for girls ages < 18 years. Aim To develop and assess the psychometric properties of a menstrual bleeding-specific HRQoL tool adapted for use by girls with HMB aged < 18 years. Methods HMB was defined using a pictorial bleeding assessment chart (PBAC) score >100 and/or hemoglobin >2 SD below age appropriate means. Phase 1 utilized a focus group of girls with HMB to review items of the Menstrual Bleeding Questionnaire (MBQ), validated for use in women ages ≥ 18 years, to generate new items and develop the Adolescent MBQ (aMBQ). In phase 2, participants were divided in two groups: those with and those without HMB. Each participant completed 3 questionnaires (aMBQ, Pediatric Quality of Life core module [PedsQL] and PBAC) at 2 time points. Validity of the aMBQ was measured by Spearman's correlation with the PedsQL. Reliability was calculated using an intra-class correlation (ICC) random effect model in those without HMB who repeated the 3 questionnaires within 30-60 days from baseline. Receiver Operating Characteristic (ROC) curve analysis assessed the ability of the aMBQ to distinguish between participants with and without HMB. Ethics approval and informed consent were obtained prior to participation. Results Phase 1 included 5 girls with previously diagnosed HMB. The MBQ was revised to be appropriate for adolescents by substituting 4 words/phrases that altered 8 of 20 questions (Table 1). With the addition of one new question, a 21-item aMBQ was developed with a score range of 0-77, with 77 representing the worst HRQoL. Phase 2 included 73 participants: 19 with HMB and 56 without HMB. Mean age of participants was 14.7 years (range 11-17 years). The validity of the aMBQ was confirmed by a moderate correlation with PedsQL (rho=-0.61). Test-retest reliability was substantial (ICC=0.71, p=0.03). An aMBQ score of >30 identified those with HMB with excellent discrimination (AUC=0.826, sensitivity 71.4%, specificity 88.0%). Conclusion The aMBQ is a valid and reliable measurement tool to assess HRQoL in adolescents with HMB that is easily implemented in the office setting. Furthermore, it may assist clinicians in identifying those with HMB and aid in the evaluation of treatment effectiveness both in clinical practice and research. Disclosures Belletrutti: Takeda Canada: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Novo Nordisk Canada: Membership on an entity's Board of Directors or advisory committees; Bayer Canada: Membership on an entity's Board of Directors or advisory committees; Roche Canada: Consultancy, Membership on an entity's Board of Directors or advisory committees; CSL Behring: Membership on an entity's Board of Directors or advisory committees. Matteson:ABOG: Honoraria, Other: Received stipend for being an oral boards examiner.; Myovant: Membership on an entity's Board of Directors or advisory committees; Bayer Ensure: Other: Co-Investigator for longitudinal research study and clinical trial. All funds go to site of research, Research Funding.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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".