Asynchronous Technologies in Mental Health Care and Education.

Purpose of review: Patients, providers, and trainees should understand the current types of asynchronous technologies that can be used to enhance the delivery and accessibility of mental health care. Asynchronous telepsychiatry (ATP) removes the need for real time communication between the clinician and patient, which improves efficiency and enables quality specialty care. ATP can be applied as distinct consultative and supervisory models in clinician-to-clinician, clinician-to-patient, and patient-to-mobile health settings. Recent findings: This review is based on research literature and the authors' clinical and medical training, using experiences with asynchronous telepsychiatry from before, during, and after the COVID-19 pandemic. Our studies demonstrate that ATP provides positive outcomes in the clinician-to-patient model with demonstrated feasibility, outcomes and patient satisfaction. One author's medical education experience in the Philippines during COVID-19 highlights the potential to utilize asynchronous technology in areas with limitations to online learning. We emphasize the need to teach media skills literacy around mental health to students, coaches, therapists, and clinicians when advocating for mental well-being. Several studies have demonstrated the feasibility of incorporating asynchronous e-tools such as self-guided multimedia and artificial intelligence for data collection at the clinician-to-clinician and patient-to-mobile health level. In addition, we offer fresh perspectives on recent trends in asynchronous telehealth in wellness, applying concepts such as "tele-exercise" and "tele-yoga." Summary: Asynchronous technologies continue to be integrated into mental health care services and research. Future research must ensure that the design and the usability of this technology puts the patient and provider first.

Patient Satisfaction with Care Providers During the COVID-19 Pandemic: An Analysis of Consumer Assessment of Healthcare Providers and Systems Survey Scores for In-Person and Telehealth Encounters at an Academic Medical Center.

Background: Previous research has demonstrated high patient satisfaction with telehealth encounters. The objective of this study was to compare patient satisfaction scores regarding their physician using the Consumer Assessment of Healthcare Providers and Systems (CAHPS®) surveys between in-person and telehealth outpatient encounters during the pandemic at a large academic health center. Methods: We analyzed CAHPS patient satisfaction survey data within the UC Davis Health system between August 2020 and February 2022. The questions analyzed pertained to patients' satisfaction with their care provider; whether they felt included in discussions, would recommend their physician, received clear explanations, and that their concerns were heard. Using logistic regression models adjusting for confounders, we compared CAHPS care provider top box scores-a score of 4 or 5 on the 5-point scale-for 5 survey items. Results: Survey results from 76,687 (84.2%) in-person encounters and 14,404 (15.8%) telehealth encounters were evaluated. The odds of a telehealth patient giving a top box score for whether they would recommend their care provider to others were 0.97 those of an in-person patient (95% confidence interval [0.87-1.06]; p = 0.494). Similarly, there was no significant difference in odds of giving a top box score between telehealth and in-person patients for the other four questions analyzed. Discussion: Our findings indicate that patient experience and care provider rankings for in-person care and telehealth care are comparable across a variety of specialties and conditions at a large academic health center. Future studies should investigate patient satisfaction with in-person and telehealth encounters by diagnosis and specialty.

Environmental Impact of Ambulatory Telehealth Use by a Statewide University Health System During COVID-19.

Objective: Several studies before the COVID-19 pandemic documented the positive impact of telehealth on patients' travel distance, time, out-of-pocket costs, and greenhouse gas emissions. The objective of this study was to calculate these outcomes following the increased use of ambulatory telehealth services within five large University of California (UC) health care systems during the COVID-19 pandemic. Methods: We analyzed retrospective ambulatory telehealth data from the five UC health care systems between March 1, 2020, and February 28, 2022. Travel distances and time saved were calculated using the round-trip distance a patient would have traveled for an in-person visit, while cost savings were calculated using Internal Revenue Services' (IRS) 2022 standard mileage reimbursement rates. In addition, we estimated the injuries and fatalities avoided using the national motor vehicle crash data. Greenhouse gas emissions were estimated using the 2021 national average vehicle emission rates. Results: More than 3 million (n = 3,043,369) ambulatory telehealth encounters were included in the study. The total round-trip distance, travel time, and travel cost saved from these encounters were 53,664,391 miles, 1,788,813 h, and $33,540,244, respectively. These translated to 17.6 miles, 35.3 min, and $11.02 per encounter. By using telehealth, 42.4 crash-related injuries and 0.7 fatalities were avoided. The use of telehealth for ambulatory services during this time eliminated 21465.8 metric tons of carbon dioxide, 14.1 metric tons of total hydrocarbons, 212.3 metric tons of exhaust carbon monoxide, and 9.3 metric tons of exhaust nitrogen oxide emissions. Conclusions: Telehealth use for ambulatory services in a statewide academic Health System during COVID-19 had a positive impact on patient travel distance, time and costs, injuries and fatalities in motor vehicle accidents, and greenhouse gas emissions. These significant advantages of telehealth should be considered when planning future health services.

Climate Change Impacts on Mental Health Will Lead to Increased Digitization of Mental Health Care.

PURPOSE OF REVIEW: The evidence for the impact of climate change on the mental health of individuals and communities is reviewed, and the literature on the importance of digital systems in reducing carbon emissions is addressed. RECENT FINDINGS: Most of the climate change impacts on mental health are disaster related, although recent literature on "eco-anxiety," often described as anxiety about the long-term effects of climate change, is emerging. There is strong evidence that the use of telepsychiatry and digital approaches to mental health care can reduce carbon emissions by reducing travel for patients and providers as well as provide effective distance care in disasters. Hybrid care, asynchronous consultations, and care at home are all innovations that will further reduce carbon emissions. The COVID-19 pandemic has rapidly accelerated the digitization of psychiatry, and climate change will continue to drive these changes in the future. Much more research on these overlapping issues is required.

The Use of Automated Machine Translation to Translate Figurative Language in a Clinical Setting: Analysis of a Convenience Sample of Patients Drawn From a Randomized Controlled Trial.

BACKGROUND: Patients with limited English proficiency frequently receive substandard health care. Asynchronous telepsychiatry (ATP) has been established as a clinically valid method for psychiatric assessments. The addition of automated speech recognition (ASR) and automated machine translation (AMT) technologies to asynchronous telepsychiatry may be a viable artificial intelligence (AI)-language interpretation option. OBJECTIVE: This project measures the frequency and accuracy of the translation of figurative language devices (FLDs) and patient word count per minute, in a subset of psychiatric interviews from a larger trial, as an approximation to patient speech complexity and quantity in clinical encounters that require interpretation. METHODS: A total of 6 patients were selected from the original trial, where they had undergone 2 assessments, once by an English-speaking psychiatrist through a Spanish-speaking human interpreter and once in Spanish by a trained mental health interviewer-researcher with AI interpretation. 3 (50%) of the 6 selected patients were interviewed via videoconferencing because of the COVID-19 pandemic. Interview transcripts were created by automated speech recognition with manual corrections for transcriptional accuracy and assessment for translational accuracy of FLDs. RESULTS: AI-interpreted interviews were found to have a significant increase in the use of FLDs and patient word count per minute. Both human and AI-interpreted FLDs were frequently translated inaccurately, however FLD translation may be more accurate on videoconferencing. CONCLUSIONS: AI interpretation is currently not sufficiently accurate for use in clinical settings. However, this study suggests that alternatives to human interpretation are needed to circumvent modifications to patients' speech. While AI interpretation technologies are being further developed, using videoconferencing for human interpreting may be more accurate than in-person interpreting. TRIAL REGISTRATION: ClinicalTrials.gov NCT03538860; https://clinicaltrials.gov/ct2/show/NCT03538860.

Twitter Usage Among Physicians From 2016 to 2020: Algorithm Development and Longitudinal Analysis Study.

BACKGROUND: Physicians are increasingly using Twitter as a channel for communicating with colleagues and the public. Identifying physicians on Twitter is difficult due to the varied and imprecise ways that people self-identify themselves on the social media platform. This is the first study to describe a reliable, repeatable methodology for identifying physicians on Twitter. By using this approach, we characterized the longitudinal activity of US physicians on Twitter. OBJECTIVE: We aimed to develop a reliable and repeatable methodology for identifying US physicians on Twitter and to characterize their activity on Twitter over 5 years by activity, tweeted topic, and account type. METHODS: In this study, 5 years of Twitter data (2016-2020) were mined for physician accounts. US physicians on Twitter were identified by using a custom-built algorithm to screen for physician identifiers in the Twitter handles, user profiles, and tweeted content. The number of tweets by physician accounts from the 5-year period were counted and analyzed. The top 100 hashtags were identified, categorized into topics, and analyzed. RESULTS: Approximately 1 trillion tweets were mined to identify 6,399,146 (<0.001%) tweets originating from 39,084 US physician accounts. Over the 5-year period, the number of US physicians tweeting more than doubled (ie, increased by 112%). Across all 5 years, the most popular themes were general health, medical education, and mental health, and in specific years, the number of tweets related to elections (2016 and 2020), Black Lives Matter (2020), and COVID-19 (2020) increased. CONCLUSIONS: Twitter has become an increasingly popular social media platform for US physicians over the past 5 years, and their use of Twitter has evolved to cover a broad range of topics, including science, politics, social activism, and COVID-19. We have developed an accurate, repeatable methodology for identifying US physicians on Twitter and have characterized their activity.

Impact of COVID-19 on Mental Health Care Practitioners.

Many mental health practitioners, including psychiatrists, have suffered multiple social and mental health impacts from COVID-19. A range of actions are described that health care organizations and individuals can take to mitigate these impacts. There will likely be substantial positive short- and long-term outcomes for psychiatrists individually and as a profession post-COVID-19. These include improved professional well-being and more efficient practice modalities through the development of hybrid care clinical approaches integrating technologies into practice, and a greater focus on providing better care for diverse racial and ethnic communities.

Changes in telepsychiatry regulations during the COVID-19 pandemic: 17 countries and regions' approaches to an evolving healthcare landscape.

BACKGROUND: During the COVID-19 pandemic, the use of telemedicine as a way to reduce COVID-19 infections was noted and consequently deregulated. However, the degree of telemedicine regulation varies from country to country, which may alter the widespread use of telemedicine. This study aimed to clarify the telepsychiatry regulations for each collaborating country/region before and during the COVID-19 pandemic. METHODS: We used snowball sampling within a global network of international telepsychiatry experts. Thirty collaborators from 17 different countries/regions responded to a questionnaire on barriers to the use and implementation of telepsychiatric care, including policy factors such as regulations and reimbursement at the end of 2019 and as of May 2020. RESULTS: Thirteen of 17 regions reported a relaxation of regulations due to the pandemic; consequently, all regions surveyed stated that telepsychiatry was now possible within their public healthcare systems. In some regions, restrictions on prescription medications allowed via telepsychiatry were eased, but in 11 of the 17 regions, there were still restrictions on prescribing medications via telepsychiatry. Lower insurance reimbursement amounts for telepsychiatry consultations v. in-person consultations were reevaluated in four regions, and consequently, in 15 regions telepsychiatry services were reimbursed at the same rate (or higher) than in-person consultations during the COVID-19 pandemic. CONCLUSIONS: Our results confirm that, due to COVID-19, the majority of countries surveyed are altering telemedicine regulations that had previously restricted the spread of telemedicine. These findings provide information that could guide future policy and regulatory decisions, which facilitate greater scale and spread of telepsychiatry globally.

Rapid Conversion of an Outpatient Psychiatric Clinic to a 100% Virtual Telepsychiatry Clinic in Response to COVID-19.

In anticipation of a surge of COVID-19 cases in Northern California, the outpatient psychiatric clinic at UC Davis Health, in which 98% of visits initially occurred in person, was converted to a telepsychiatry clinic, with all visits changed to virtual appointments within 3 business days. The clinic had 73 virtual appointments on its first day after full conversion. This column describes the process, challenges, and lessons learned from this rapid conversion. Patients were generally grateful, providers learned rapidly how to work from home, and the clinic remained financially viable with no immediate losses.