Patient and Clinician Satisfaction with the Early Implementation of Telemental Health Services in an Urban Behavioral Health Clinic During the COVID-19 Pandemic.

Objective: The COVID-19 pandemic served as an impetus for the rapid expansion of telehealth. In this study, we examined the experience of rapid transition to telemental health (TMH) within The Family Health Centers at NYU Langone, a large, urban, Federally Qualified Health Center, in the 3 months after the onset of the COVID-19 pandemic. Methods: We administered surveys to clinicians and patients who utilized TMH between March 16, 2020 and July 16, 2020. Patients were sent a web-based survey via email or received a phone survey (for those without email) with four languages choices: English, Spanish, Traditional Chinese, or Simplified Chinese. Results: The majority (79%) of clinicians (n = 83) rated the experience of TMH as "excellent" or "good," and felt that they could establish and maintain the patient relationship through TMH. Four thousand seven hundred seventy-two survey invitations were sent out to patients, and 654 (13.7%) responded. Ninety percent reported that they were satisfied with the service they received and rated TMH as better or the same as in-person care (81.6%) with a high mean satisfaction score (4.5 out of 5). Patients were more likely to rate TMH as better or the same as in-person care relative to the clinicians. Conclusions: These results are consistent with several recent studies that have explored patient satisfaction with TMH during the COVID-19 pandemic and demonstrate that both clinicians and patients experienced a high degree of satisfaction with mental health care delivered virtually compared with face-to-face encounters.

Anti-Asian Attitudes in the Context of the COVID-19 Pandemic: an Exploratory Study.

OBJECTIVE: The purpose of this paper was to measure if people with greater "structural literacy," as indicated by greater awareness of racial and socioeconomic disparities in COVID-19 impact, would hold fewer negative attitudes against those perceived to be Asian in the context of the COVID-19 pandemic. METHODS: A survey was administered between April and August 2020 to participants from two longitudinal cohorts in New York State. The survey assessed anti-Asian attitudes relating to COVID-19, awareness of racial and socioeconomic disparities in COVID-19, residential location, socioeconomic status, and other demographic information. The sample included 233 Black, Latinx, and White midlife adults from urban, suburban, and rural New York neighborhoods. Multivariable regression modeling was used to assess associations between COVID-19 disparities awareness, an indicator of structural literacy, and anti-Asian attitudes, adjusting for gender, race/ethnicity, residential location, and socioeconomic disadvantage. RESULTS: Greater awareness of disparities in COVID-19 was associated with lower levels of anti-Asian attitudes after adjustment (adj-slope = - 0.358, p < 0.001). CONCLUSION: Greater structural literacy, as measured by awareness of socioeconomic and racial disparities in COVID-19 impact, was associated with fewer anti-Asian attitudes among Black, Latinx, and White adults. IMPLICATIONS: Increasing structural literacy may reduce anti-Asian attitudes that motivate harmful acts against oppressed groups.