| Literature DB >> 34049265 |
Matthew J Rabinowitz1, Taylor P Kohn1, Chad Ellimoottil2, Ridwan Alam1, James L Liu1, Amin S Herati3.
Abstract
INTRODUCTION: Telemedicine has the potential to improve access to care; however, its utility in the field of sexual medicine remains in question. AIM: To examine the importance of video visits for the treatment of male sexual medicine at our academic center during the period of peak telemedicine use in April 2020.Entities:
Keywords: Care; Male Sexual Impotence; Outpatient; Populations; SARS-CoV-2; Telemedicine; Urology; Vulnerable
Year: 2021 PMID: 34049265 PMCID: PMC8240353 DOI: 10.1016/j.esxm.2021.100366
Source DB: PubMed Journal: Sex Med ISSN: 2050-1161 Impact factor: 2.523
International classification of disease (ICD-10) codes used for “male sexual medicine” category (further categorization is defined in Supplemental Table 1)
| Anejaculation | Epididymo-orchitis without abscess | Erectile dysfunction following radiation therapy |
Comparison of disease code representation stratified by office visits (2019) and video visits (2020)
| Diagnosis code category (ICD-10) | % Office visits (2019) codes | % Video visits (2020) codes | Total change (%) | Relative change (fold) |
|---|---|---|---|---|
| Male sexual medicine | 5.9% | 7.8% | ||
| Male hypogonadism | 1.7% | 3.6% | ||
| Erectile dysfunction | 4.5% | 4.4% | -0.1% | 1.0 |
| Testicular/scrotal involvement | 2.0% | 2.6% | 0.7% | 1.3 |
| Penile abnormalities | 1.0% | 1.7% | 0.7% | 1.6 |
| Prostate pathologies | 22.9% | 21.7% | -1.2% | 0.9 |
| Prostate cancer | 11.8% | 12.1% | 0.3% | 1.0 |
| PSA surveillance | 9.8% | 9.2% | -0.6% | 0.9 |
| Benign prostatic hyperplasia | 7.7% | 7.3% | -0.4% | 0.9 |
| Bladder pathologies | 24.0% | 19.1% | ||
| Bladder cancer | 6.9% | 3.7% | ||
| Urine findings | 6.7% | 4.9% | ||
| Infections and UTIs | 2.5% | 1.8% | -0.7% | 0.7 |
| Urine findings, gross | 2.8% | 2.3% | -0.5% | 0.8 |
| Renal/kidney pathologies | 12.0% | 14.9% | ||
| Renal/kidney cancer | 1.2% | 1.5% | 0.3% | 1.3 |
| Kidney stones/calculi | 4.9% | 5.9% | 1.0% | 1.2 |
| All cancer | 23.1% | 20.4% | -2.7% | 0.9 |
* = P < .05, ** = P < .01. Bolded values indicate statistically significant findings as defined under “Statistical Analysis”.
Patient demographics stratified by office visits in April 2019 and video visits in April 2020
| Office visits ( | Video visits ( | ||
|---|---|---|---|
| Mean Age, years [SD] | 60.8 [15.5] | 58.9 [15.6] | |
| Patients ≤50, | 422 (21.7%) | 159 (26%) | |
| Patients 51–64, | 572 (29.3%) | 183 (30.1%) | |
| Patients ≥65, | 955 (49%) | 266 (44%) | |
| Biological sex, | .20 | ||
| Female | 328 (16.8%) | 116 (19%) | - |
| Male | 1624 (83.2%) | 492 (81%) | - |
| Race, | .14 | ||
| White or Caucasian | 1259 (64.6%) | 392 (65%) | - |
| Black or African American | 490 (25.1%) | 159 (26%) | - |
| Asian | 78 (4%) | 14 (2.3%) | - |
| Other | 114 (5.9%) | 29 (4.8%) | - |
| Ethnicity, | .10 | ||
| Not Hispanic or Latinx | 1842 (95%) | 569 (94%) | - |
| Hispanic or Latinx | 83 (4.3%) | 23 (3.8%) | - |
| Non-English language preference, | 69 (3.5%) | 9 (1.5%) | |
| Interpretation service use, | 65 (3.3%) | 9 (1.5%) | |
| Rurality, | 78 (4.3%) | 30 (5.2%) | .35 |
Bolded values indicate statistically significant findings as defined under “Statistical Analysis”.
Figure 1Forest plot of multivariate regression analysis predicting the likelihood of patients participating in video visits. 95% CI = 95% confidence interval; OR = odds ratio.