Promoting trans patient autonomy in surgical preparation for phalloplasty and metoidioplasty: results from a community-based cross-sectional survey and implications for preoperative assessments
Bibliographic record
Abstract
BACKGROUND: Some transgender and nonbinary people undergo phalloplasty and/or metoidioplasty as part of their medical transition process. Across surgical disciplines, a variety of resources are used to assist patients who are preparing for surgeries, including educational materials, workshops, peer support, and lifestyle changes. For gender-affirming surgeries, patients undergoing assessments to discern whether they are ready to undergo the surgery, and to assist them in achieving preparedness when needed. Little research investigates what resources are useful in helping patients to feel prepared to undergo phalloplasty or metoidioplasty, and how assessments and resources can promote patient autonomy in the process. Respect for patient autonomy is one of the central tenets of ethical healthcare, yet historically, scholarship related to pre-surgical assessments for gender-affirming surgery has focused determining the ideal surgical candidate rather than respecting patient autonomy and ascertaining individual patient needs. METHODS: This study sought to fill this gap by utilizing data from PROGRESS (Patient-Reported Outcomes of Genital Reconstruction and Experiences of Surgical Satisfaction), a cross-sectional, community-based survey of trans and nonbinary adults from the United States of America and Canada who had undergone one or more of these surgeries. RESULTS: Results revealed most participants (86%, n = 186) felt prepared to undergo surgery, though the majority of our sample (53%, n = 105) did not find referral letter assessments to be helpful. Peer support such as online resources/blogs were rated as highly useful, along with surgical consults. In a multivariable logistic regression, higher perceived preparedness was associated with identifying as queer (inclusive of gay, bi and pansexual compared to being straight), and feeling that one's assessment process was useful (as opposed to not useful). Type of assessment was not significantly associated with preparedness; therefore, what is most useful when preparing for surgery may vary across individuals. CONCLUSION: Healthcare professionals who interact with preparing patients should develop new or utilize existing resources to assist patients in identifying their preparation needs and achieving preparedness. Our data supports assessments that center surgical care planning rather than assessing level of gender dysphoria. Future longitudinal research could further refine which assessment processes are most effective in helping patients who are preparing for these surgeries. Assessments should ensure that patients are appropriately prepared to undergo and recover from surgery through a robust process of informed consent.
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 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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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".