Clinic Utilization and Characteristics of Patients Accessing a Prostate Cancer Supportive Care Program's Sexual Rehabilitation Clinic.
Julie WongLuke WitherspoonEugenia WuSara SheikholeslamiWen LiaoWallace YuenJenna BentleyChristine ZarowskiMonita SundarStacy ElliottCelestia S HiganoRyan FlanniganPublished in: Journal of clinical medicine (2020)
Prostate cancer (PC) treatment leads to impairment of sexual function. The Prostate Cancer Supportive Care (PCSC) Program's Sexual Rehabilitation clinic (SRC) assists patients and their partners with sexual recovery using a biopsychosocial approach to rehabilitation. This study characterizes patients seen in the SRC between July 2013-1 July 2019. Data was retrospectively abstracted from clinic records. In total, 965 patients were seen over 3391 appointments during the study period. Median age (standard deviation (SD)) was 66 years (SD = 7.1), 82.0% were partnered, yet 81.7% attended appointments alone. 88.0% were treated with surgery, 5.1% with brachytherapy, 3.7% with external beam radiation (EBRT), 1.8% with combined brachytherapy and EBRT, and 1.4% with androgen deprivation therapy. In total, 708 patients (73.4%) attended ≥1 follow-up appointment. Median time (SD) between end of prostate cancer treatment to first SRC appointment was 270 days (range 0-7766). The mean (SD) self-reported overall sexual satisfaction (extracted from International Index of Erectile Function-5 (IIEF-5)) significantly increased both with erectile aids (1.69 (SD = 1.52) to 2.26 (SD = 1.66), p < 0.001, n = 148) and without erectile aids (1.71 (SD = 1.44) to 2.35 (SD = 1.57), p < 0.001, n = 235). This study provides guidance for further investigation to refine treatment, wait-times, support, and/or resource offerings in this type of program.
Keyphrases
- prostate cancer
- end stage renal disease
- ejection fraction
- newly diagnosed
- chronic kidney disease
- healthcare
- prognostic factors
- radiation therapy
- high dose
- radical prostatectomy
- palliative care
- tyrosine kinase
- stem cells
- peritoneal dialysis
- hepatitis c virus
- machine learning
- patient reported outcomes
- acute coronary syndrome
- big data
- radiation induced
- chronic pain
- data analysis
- human immunodeficiency virus