Patient and provider perspectives on telemedicine use in an outpatient gynecologic clinic serving a diverse, low-income population. Academic Article uri icon

Overview

abstract

  • OBJECTIVE: To evaluate patient and provider experiences using telemedicine for gynecologic visits among a diverse, low-income population. METHODS: Patients attending telemedicine visits at a resident-run gynecology clinic completed a modified Telemedicine Usability Questionnaire and providers completed a survey addressing satisfaction and barriers for each visit. The Telemedicine Usability Questionnaire included six subscales to assess telemedicine usability with 1-5 Likert-scale responses. Statistical analyses included Chi-square, Fisher's exact, Wilcoxon rank sum, Wilcoxon signed-rank, and two-sample t-test. RESULTS: Of 192 patients enrolled, 157 (82%) completed the surveys (87% video visits, 13% telephone visits). Most patients were ethnic minorities (non-Hispanic White-16%, Hispanic-32%, Black-28%, Asian-10%), median age was 40 years (range 18-69), and 63% reported income under $40,000. The total mean Telemedicine Usability Questionnaire score was 4.3/5. The reliability subscale score (3.72/5) was lower compared to all other subscales (p < 0.001). Older respondents were more likely to find telemedicine unreliable (mean age >44 vs <39, p = 0.02). Without telemedicine, 54% would have traveled ≥1 h to appointments, with 46% spending over $35 on travel, and 27% missing ≥ 1 workday. Patients preferred telemedicine for follow-up rather than initial visits (81% vs 33%, p < 0.01). Among providers, residents felt less adequately trained in telemedicine compared to nurse practitioners and fellows (54% vs 46%, p = 0.039). CONCLUSION: Low-income women utilizing telemedicine for outpatient gynecologic care report positive experiences with improved access to healthcare, cost, and time savings compared to in-person visits. Provider experiences were also positive; however, teaching hospitals must evaluate whether trainee providers feel adequately trained to deliver telemedicine visits.

publication date

  • October 3, 2023

Identity

Digital Object Identifier (DOI)

  • 10.1177/1357633X231197965

PubMed ID

  • 37788366