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Record W4387938513 · doi:10.1038/s41443-023-00783-5

Patients’ perspectives on informational needs surrounding gender-affirming vaginoplasty

2023· article· en· W4387938513 on OpenAlexaff
Alexandra Millman, Armin Gabela, Luca Morgantini, Ömer Acar, Ervin Kocjancic

Bibliographic record

VenueInternational Journal of Impotence Research · 2023
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsWomen's College Hospital
Fundersnot available
KeywordsVaginoplastyMedicineThematic analysisLikert scaleCompetence (human resources)Health careDescriptive statisticsQualitative researchInformation needsFamily medicineNursingSurgerySocial psychologyPsychology

Abstract

fetched live from OpenAlex

This study aimed to investigate the informational preferences of patients undergoing gender-affirming vaginoplasty during their surgical journey. An anonymous survey was sent to 30 such patients who had the procedure between September 2018 and September 2020. The survey included Likert-scale questions about the importance of various topics and inquired about their preferred sources and formats for receiving this information. The responses of 17 individuals (56.7% response rate) were analyzed using descriptive statistics and qualitative thematic analysis. Key findings indicated that all topics in the survey were rated as moderately important or higher. Specifically, for 29 out of 30 pre-operative topics (96.7%), participants preferred written information, and for 27 topics (90.0%), they favored receiving information directly from their surgeon. Thematic analysis revealed five main themes: recovery process, satisfaction, trust in healthcare providers, information delivery, and neovaginal dilation and depth. In conclusion, individuals undergoing gender-affirming vaginoplasty have significant informational needs. They prefer to receive information from their surgical team, supplemented by written resources and verbal discussions. Notably, the importance of understanding neovaginal dilation and being aware of possible complications emerged as a key concern. The study also highlighted the importance of cultural competence and trust-building with healthcare providers, underscoring the need for more inclusive care practices.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.360
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.176
GPT teacher head0.499
Teacher spread0.322 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations5
Published2023
Admission routes1
Has abstractyes

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