Barriers for Telemedicine Use Among Nonusers at the Beginning of the Pandemic

Telehealth and Health Equity in Older Adults With Heart Failure: A Scientific Statement From the American Heart Association

Enhancing access to care using telehealth is a priority for improving outcomes among older adults with heart failure, increasing quality of care, and decreasing costs. Telehealth has the potential to increase access to care for patients who live in underresourced geographic regions, have physical disabilities or poor access to transportation, and may not otherwise have access to cardiologists with expertise in heart failure. During the COVID-19 pandemic, access to telehealth expanded, and yet barriers to access, including broadband inequality, low digital literacy, and structural barriers, prevented many of the disadvantaged patients from getting equitable access. Using a health equity lens, this scientific statement reviews the literature on telehealth for older adults with heart failure; provides an overview of structural, organizational, and personal barriers to telehealth; and presents novel interventions that pair telemedicine with in-person services to mitigate existing barriers and structural inequities.

Factors Related to Treatment Attendance for Patients Seeking Gender-Affirming Voice Therapy

OBJECTIVE

The purpose of this study was to investigate factors related to treatment attendance for patients seeking gender-affirming voice therapy (GAVT).

METHOD

We completed retrospective chart reviews of 50 patients (43 transgender women, three transgender men, four nonbinary patients; aged 18-67 years, M = 34.92 years, SD = 12.32 years) referred for GAVT at a Midwest outpatient center from 2016 to 2021. Data extraction included patient demographics, therapy visit specifics (e.g., number of sessions attended, treatment completion status, and in-person vs. virtual visits) and treatment timing (in relation to the onset of the COVID-19 pandemic), and psychosocial and socioeconomic information.

RESULTS

There was no impact of treatment-timing relative to the onset of the pandemic on any attendance measure; however, patients were 1.9 times more likely to complete therapy with each virtual telehealth session attended. Individual factors of outside social support and hormone replacement therapy were positively related to the number of therapy sessions attended, whereas insurance provider and employment status were related to therapy completion.

CONCLUSIONS

Telehealth attendance during the COVID-19 pandemic was positively associated with GAVT completion. Future research should investigate psychosocial and socioeconomic factors to understand how to identify patients at risk for poor treatment adherence and facilitate access to clinical care.

Using the Technology Acceptance Model to Characterize Barriers and Opportunities of Telemedicine in Rural Populations: Survey and Interview Study

Background

Health care access issues have long plagued rural Americans. One approach to alleviating the challenges and poor health outcomes for rural individuals is through the use of telemedicine, sometimes called telehealth. It is important to understand factors that may be related to telemedicine adoption or nonadoption, particularly in underserved rural settings.

Objective

This pilot study examines telemedicine perceptions among rural, underserved populations using the Technology Acceptance Model, which serves as a framework to explore the adoption of telemedicine services by those who have used it. This study also explores the differences between user and nonuser perceptions of telemedicine.

Methods

Paper surveys and phone interviews were conducted in rural Northern Lower Michigan.

Results

Perceived usefulness and perceived ease of use explained 91% of the variability in attitude toward telemedicine (R²=0.91; F_1,15=73.406; P<.001). Ease of use was a significant predictor (mean 2.36, SD 1.20; P<.001), but usefulness (mean 3.16, SD 0.81; P=.20) was not. Furthermore, there were significant differences in individual perception of telemedicine between users and nonusers. For example, nonusers believed they would receive better care in person (users: mean 3.30, SD 1.22; nonusers: mean 1.91, SD 1.14; F_1,32=10.126; P=.003). The quantitative findings were reinforced by the qualitative results from the phone interviews.

Conclusions

Overall, the Technology Acceptance Model is an appropriate model to understand the attitudes toward telemedicine that may lead to its adoption by rural Americans.