Barriers to Completing Preoperative Hair Removal for Penile Inversion Vaginoplasty.

Electrolysis Gender-affirming surgery Laser hair removal Penile inversion vaginoplasty Transgender

Journal

Archives of sexual behavior
ISSN: 1573-2800
Titre abrégé: Arch Sex Behav
Pays: United States
ID NLM: 1273516

Informations de publication

Date de publication:
29 Feb 2024
Historique:
received: 16 03 2023
accepted: 07 12 2023
revised: 12 10 2023
medline: 1 3 2024
pubmed: 1 3 2024
entrez: 29 2 2024
Statut: aheadofprint

Résumé

Penile inversion vaginoplasty (PIV) is a gender-affirming surgical procedure where the skin of the penis and scrotum is reconstructed into the neovaginal lining. To prevent hair-bearing skin from becoming incorporated into the neovaginal canal, transgender patients are encouraged to undergo hair removal of their external genitalia. The goal of this preoperative hair removal is to minimize the risk of potential hair-related complications after vaginoplasty. To better support patients seeking preoperative hair removal and identify current treatment barriers, we surveyed patients about their progress and satisfaction with hair removal. A cross-sectional survey was constructed to assess patient experiences with hair removal in advance of PIV. Sixty-seven patients met the inclusion criteria, of which 46 participated (68.7%). Both laser hair removal (LHR) and electrolysis were used. Although all patients had completed some preoperative hair removal at the time of survey (average of 14 sessions), the cohort completed only two-thirds of their total expected hair clearance. Multiple peri-procedural pain management therapies were employed, but overall satisfaction with pain management was low (57.4 ± 5.0 out of 100). LHR was associated with significantly lower procedural pain compared to electrolysis (p < .001). The average global satisfaction with the hair removal process was 57.9 ± 5.7 and incidents of mistreatment were associated with a statistically significant reduction in overall satisfaction (p = .02). Most patients felt that hair removal was important prior to surgery. Overall, LHR and electrolysis were both utilized as effective preoperative hair removal modalities; however, LHR has better pain tolerability than electrolysis.

Identifiants

pubmed: 38424326
doi: 10.1007/s10508-023-02783-4
pii: 10.1007/s10508-023-02783-4
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Provincial Health Services Authority
ID : F21-00533
Organisme : University of British Columbia
ID : F22-01603

Informations de copyright

© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Références

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Auteurs

Peter Mankowski (P)

Division of Plastic Surgery, University of British Columbia, Vancouver, BC, Canada.

Smita Mukherjee (S)

Department of Urologic Sciences, University of British Columbia, Vancouver, BC, Canada.
Gender Surgery Program, University of British Columbia, Vancouver, BC, Canada.

Sahil Kumar (S)

Department of Urologic Sciences, University of British Columbia, Vancouver, BC, Canada.
Gender Surgery Program, University of British Columbia, Vancouver, BC, Canada.

Cormac O'Dwyer (C)

Gender Surgery Program, University of British Columbia, Vancouver, BC, Canada.

Hoyoung Jung (H)

Gender Surgery Program, University of British Columbia, Vancouver, BC, Canada.

Richard Wassersug (R)

Gender Surgery Program, University of British Columbia, Vancouver, BC, Canada.

Krista Genoway (K)

Division of Plastic Surgery, University of British Columbia, Vancouver, BC, Canada.
Gender Surgery Program, University of British Columbia, Vancouver, BC, Canada.

Alexander Kavanagh (A)

Department of Urologic Sciences, University of British Columbia, Vancouver, BC, Canada. gsp.research@ubc.ca.
Gender Surgery Program, University of British Columbia, Vancouver, BC, Canada. gsp.research@ubc.ca.
Gordon and Leslie Diamond Health Care Centre, University of British Columbia, Level 6, 2775 Laurel Street, Vancouver, BC, V5Z 1M9, Canada. gsp.research@ubc.ca.

Classifications MeSH