Implementing strategies to improve uptake of patient-reported outcome measures (PROMs) in gender-affirming care: a mixed-methods implementation study
Bibliographic record
Abstract
IMPORTANCE: The Practical Guide to Implementing PROMs in Gender-Affirming Care (PG-PROM-GAC) is an evidence-based resource, which was developed in response to international calls for improved patient-reported outcome measure (PROM) implementation in gender-affirming care. The PG-PROM-GAC has the potential to improve PROM implementation; however, its real-world effectiveness has not yet been investigated. OBJECTIVE: Investigate effectiveness and fidelity of three implementation strategies from the PG-PROM-GAC in a real-world gender clinic setting. DESIGN: Interrupted time series mixed-methods study investigating response rates to a PROM deployed alongside implementation strategies from the PG-PROM-GAC; and open-ended feedback on the fidelity and effectiveness of implementation strategies. SETTING: Participants were recruited from a National Health Service (NHS) gender clinic. PARTICIPANTS: Eligible participants were being seen at an NHS gender clinic for an appointment during the study period, and were invited to participate in this study via email. INTERVENTION: Three implementation strategies from the PG-PROM-GAC deployed alongside a PROM. MAIN OUTCOMES AND MEASURES: Response rates were calculated at 2-week intervals, in line with the deployment of each implementation strategy. Open-ended responses were thematically analysed by two researchers following guidance from implementation science and interpretation from Normalisation Process Theory. RESULTS: A total of 28 participants were included in this study with a mean (SD) age of 39 (17) years. In general, participants rated education material for PROMs as the most important for PROM implementation, and accessibility options for PROMs as the second most important. Response rates to PROM completion dropped as the study progressed, as the burden of reviewing implementation strategies increased. Results were used to construct recommendations for future PROM implementation efforts. CONCLUSIONS AND RELEVANCE: The PG-PROM-GAC and implementation strategy materials developed from this study (ie, educational video on PROMs co-developed with key stakeholders) can be used by clinicians, researchers and policymakers to lead PROM implementation efforts in gender-affirming care.
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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 | 0.007 | 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 | 0.000 | 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".