Development and Assessment of a Patient-Reported Outcome Instrument for Gender-Affirming Care
Bibliographic record
Abstract
Importance: There is an urgent need for a validated gender-affirming care-specific patient-reported outcome measure (PROM). Objective: To field test the GENDER-Q, a new PROM for gender-affirming care, in a large, international sample of transgender and gender diverse (TGD) adults and evaluate its psychometric properties. Design, Setting, and Participants: This international cross-sectional study was conducted among TGD adults aged 18 years and older who were seeking or had received gender-affirming care within the past 5 years at 21 clinical sites across Canada, the United States, the Netherlands, and Spain; participants were also recruited through community groups (eg, crowdsourcing platform, social media). The study was conducted between February 2022 and March 2024. Participants had to be capable of completing the instrument in English, Danish, Dutch, or French-Canadian. Eligible participants accessed an online REDCap survey to complete sociodemographic questions and questions about gender-affirming care they had received or sought (ie, to look, function, or feel masculine, feminine, gender fluid, or another way). Main Outcome and Measures: Branching logic was used to assign relevant instrument scales. Rasch measurement theory (RMT) analysis was used to examine the fit of the observed data to the Rasch model for each scale. Test-retest reliability and hypothesis-based construct validity of instrument scales were examined. The hypothesis was that instrument scale scores would increase with better outcomes on corresponding categorical questions. Results: A total of 5497 participants (mean [SD] age, 32.8 [12.3] years; 1837 [33.4%] men; 1307 [23.8%] nonbinary individuals; and 2036 [37.0%] women) completed the field test survey. Participants sought or had the following types of gender-affirming care: 2674 (48.6%) masculinizing, 2271 (41.3%) femininizing, and 552 (10.0%) other. RMT analysis led to the development of 54 unidimensional scales and 2 checklists covering domains of health-related quality of life, sexual, urination, gender practices, voice, hair, face and neck, body, breasts, genital feminization, chest, genital masculinization, and experience of care. Test-retest reliability of the scales (intraclass correlation coefficient [average] >0.70) was demonstrated. Only 1 item (phalloplasty donor flap) had an ICC less than 0.70. As hypothesized, scores increased incrementally with better associated self-reported categorical responses. For example, among 661 participants who reported poor psychological well-being, the mean (SD) scale score was 45 (18) points; for those who reported excellent psychological well-being, the mean (SD) scale score was 85 (16) points (P < .001). Conclusions and Relevance: In this cross-sectional study of 5497 TGD adults, the instrument demonstrated reliability and validity. The instrument was validated in an international sample and is designed to collect and compare evidence-based outcome data for gender-affirming care from the patients' perspective.
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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) | 0.000 | 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".