Receptive Anal Intercourse: Impact on Colorectal and Urologic Diagnoses.

Purpose: We evaluated the relationship between lifetime receptive anal intercourse (RAI) and the risk of common colorectal and urologic diagnoses. Methods: We conducted an internet-based survey on sensations during RAI between July 2022 and March 2023. We used multivariable logistic regression to assess the independent impact of lifetime RAI exposure on the diagnosis of common urologic and colorectal conditions. Participants completed a main survey and were invited to complete randomly assigned patient-reported outcome measures (PROMs), which measured pelvic symptoms, mental health symptoms, and sexual satisfaction. Results: In total, 1100 participants completed the main survey and 416 completed the PROMs. Participants of the main survey ranged from 18 to 78 years old and the median age of the sample was 32 years. There was no significant association between lifetime RAI exposure and any medical diagnosis, except for anal fissures, which increased linearly with additional RAI exposure. Both sexual satisfaction and mental health symptoms improved with RAI exposure. Conclusions: RAI was not associated with most of the colorectal and urologic diagnoses tested and was associated with fewer mental symptoms and increased sexual satisfaction. Development of anal fissures may be directly related to trauma of the anal canal from penetration.

Anorectal Sexual Function Index: Development and Validation of a Health-related Quality of Life Measure.

OBJECTIVE: To assess the reliability and validity of measuring receptive anal intercourse (RAI) sensation and associated satisfaction and bother. METHODS: Between July 2022 and January 2023, we conducted a survey on sensations during RAI among people with prostates (ie, cisgender men and transgender women). The survey content was developed based on our previous qualitative study. We assessed internal reliability and consistency through time. Sensations experienced during RAI were correlated with health-related quality-of-life measures to ensure construct validity. RESULTS: The final index contained four scales: pleasure (four items), pain (seven items), urinary (four items), and bowel (four items). Overall, 1084 individuals filled out the questionnaire. The internal consistency for all subscales was at or above 0.79. Scores tended to be stable across time with all test-retest coefficients at or above 0.72. Pleasure scores were inversely correlated with pain scores (r = -0.46). Pleasure was positively correlated with erections (r = 0.36) and orgasms (r = 0.44) during RAI, and sexual satisfaction (r = 0.39). Notable positive correlations for pain scores were with bowel scores (r = 0.49), internalized homophobia (r = 0.35), and prostatitis symptoms (r = 0.37). Urinary scores were moderately associated with IPSS scores (r = 0.22). Bowel scores were positively correlated with GI symptoms (r = 0.24), mental health symptoms (r = 0.28), and chronic prostatitis symptoms (r = 0.29). CONCLUSION: The results of the current study provide evidence that the Anorectal Sexual Function Index is both reliable and valid. The Anorectal Sexual Function Index may be a particularly useful health-related quality-of-life measure to assess outcomes regarding a host of urologic issues that may affect RAI.

The Use of Automated Machine Translation to Translate Figurative Language in a Clinical Setting: Analysis of a Convenience Sample of Patients Drawn From a Randomized Controlled Trial.

BACKGROUND: Patients with limited English proficiency frequently receive substandard health care. Asynchronous telepsychiatry (ATP) has been established as a clinically valid method for psychiatric assessments. The addition of automated speech recognition (ASR) and automated machine translation (AMT) technologies to asynchronous telepsychiatry may be a viable artificial intelligence (AI)-language interpretation option. OBJECTIVE: This project measures the frequency and accuracy of the translation of figurative language devices (FLDs) and patient word count per minute, in a subset of psychiatric interviews from a larger trial, as an approximation to patient speech complexity and quantity in clinical encounters that require interpretation. METHODS: A total of 6 patients were selected from the original trial, where they had undergone 2 assessments, once by an English-speaking psychiatrist through a Spanish-speaking human interpreter and once in Spanish by a trained mental health interviewer-researcher with AI interpretation. 3 (50%) of the 6 selected patients were interviewed via videoconferencing because of the COVID-19 pandemic. Interview transcripts were created by automated speech recognition with manual corrections for transcriptional accuracy and assessment for translational accuracy of FLDs. RESULTS: AI-interpreted interviews were found to have a significant increase in the use of FLDs and patient word count per minute. Both human and AI-interpreted FLDs were frequently translated inaccurately, however FLD translation may be more accurate on videoconferencing. CONCLUSIONS: AI interpretation is currently not sufficiently accurate for use in clinical settings. However, this study suggests that alternatives to human interpretation are needed to circumvent modifications to patients' speech. While AI interpretation technologies are being further developed, using videoconferencing for human interpreting may be more accurate than in-person interpreting. TRIAL REGISTRATION: ClinicalTrials.gov NCT03538860; https://clinicaltrials.gov/ct2/show/NCT03538860.