key: cord-1038779-1l729z2l authors: Danilewitz, Marlon; Ainsworth, Nicholas James; Bahji, Anees; Chan, Peter; Rabheru, Kiran title: Virtual psychiatric care for older adults in the age of COVID‐19: challenges & opportunities date: 2020-06-29 journal: Int J Geriatr Psychiatry DOI: 10.1002/gps.5372 sha: ef50e8d0dcfc66717601c34a458cbdccd9b2ae8c doc_id: 1038779 cord_uid: 1l729z2l nan Emerging evidence has identified that older adults are at an increased risk of significant morbidity and mortality associated with contracting COVID-19. 1 The need for social distancing and quarantine has greatly impacted healthcare delivery, leading to a greater emphasis on virtual care. Fortunately, this demand has been embraced by health regulators through policy amendments, which continue to evolve. Beyond the physical impact of this virus, a substantial increase in psychiatric morbidity is expected both in those who have contracted the virus and those who have not. 2 While providing mental health supports to older adults is a growing priority, there are a number of unique barriers to providing virtual care to this population. Here, we review some the barriers, and potential strategies towards providing mental healthcare to older adults in the context of the COVID-19 pandemic. Just as older adults are more susceptible to the severe physical manifestations of COVID-19 illness, there are factors that may increase their vulnerability to the psychiatric effects of the current pandemic. 1, 2 This increase in psychiatric morbidity is likely due to a combination of biopsychosocial factors, including worsening physical health secondary to the infection, disruption in access to healthcare, social isolation with diminished supports as a result of quarantine measures, and the psychological stress of infection itself. Restricted access to healthcare is likely to correlate with a deterioration of physical health and further exacerbate the cognitive and metal health of this population. Similarly, disruptions in access to psychiatric care and in-person treatments like ECT, will place older adults with the greatest vulnerability at a high risk of relapse. In particular, social distancing measures imposed on older adults have compounded the existing isolation experienced by those living alone or residential care which is a risk factor for the development of late-life psychiatric illness. 3 As public health measures persist in an effort to contain the spread of COVID-19, the health effects of quarantine are likely to compound. 3 Even before COVID-19, face-to-face psychiatric care has been increasingly transitioning to the digital front. 4 Virtual psychotherapy ("e-therapies") has been shown to be as effective as in-person treatments in some cases, particularly for cognitive behavioural therapy. 5 More recently there has been an increase in the use of virtual care for older adults with some encouraging results. Salisbury et al demonstrated that an integrated telehealth service for older adults with depression was significantly better than treatment as usual. 6 Similarly, a review of studies exploring telemedicine-based dementia assessments yielded encouraging results, suggesting virtual assessments were as reliable as face-to-face assessments, and acceptable for patients. 7 While emerging research is encouraging, there are a number of important barriers to widespread adoption of virtual psychiatric care in older adults. These include motivation to use technology, frustration with technical difficulties, and cognitive, physical, visual, and auditory impairments that may impact on the use of technology. 8 Awareness of these barriers is essential for digital health providers and designers in both optimizing standard digital assessment platforms as well as by decreasing the need for digital assessment by strengthening caregiver support and integrating alternative assessment and monitoring tools. More specifically, integrating tailored feedback for in-home caregivers based on video recordings has been shown to improve depressive symptoms and competence among caregivers, helping to potentially decrease the burden on the healthcare system. 9 Another critical barrier in the psychiatric care of individuals with neurocognitive disorders is the technical challenge of administering valid cognitive screening tools in a virtual setting. Here too, technological advances may be of assistance: the development of automatic speech analysis for the diagnosis and monitoring of dementia, for instance, may help to offset the burden on in person assessment and concurrently improve accuracy of detection. 10 The impact of the current pandemic is most acutely felt by older adults, especially those who are no longer living independently. Unfortunately, the morbidity and mortality amongst older adults who contract COVID-19 has only exacerbated the isolation and psychiatric morbidity of this population. Now more than ever, digital tools are essential as a means to help address the growing burden of psychiatric illness in older adults. While there are unique barriers to virtual mental healthcare in older adults, emerging research has demonstrated these challenges to be surmountable and recent advancements in technology are further encouraging. Clinical features of COVID-19 in elderly patients: A comparison with young and middle-aged patients Immediate Psychological Responses and Associated Factors during the Initial Stage of the 2019 Coronavirus Disease (COVID-19) Epidemic among the General Population in China Loneliness and Health in Older Adults: A Mini-Review and Internet-based vs. face-to-face cognitive behavior therapy for psychiatric and somatic disorders: an updated systematic review and meta-analysis Effectiveness of an integrated telehealth service for patients with depression: A pragmatic randomised controlled trial of a complex intervention A narrative review of the evidence regarding the use of telemedicine to deliver video-interpreting during dementia assessments for older people Asia-Pacific Psychiatry Aging barriers influencing mobile health usability for older adults: A literature based framework (MOLD-US) Supporting Family Caregivers With Technology for Dementia Home Care: A Randomized Controlled Automatic speech analysis for the assessment of patients with predementia and Alzheimer's disease Alzheimer's and Dementia: Diagnosis