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In this paper I consider the experiences around the time boundary of therapeutic sessions of both therapists and patients working remotely during the pandemic. I discuss the precision of electronic time and the different dynamics around the beginning of sessions. The business of arriving, whether early, on time or late, has different drivers and meanings in the online world. I consider how difficult it is to take up these dynamics adequately when faced with the real uncertainties of internet connections. Communications between therapist and patient around time boundaries have also presented new challenges, and the way sessions end is very different. The experience of time within sessions is altered, and sessions are no longer bracketed with the journey to and from the consulting room. The dynamics around power and vulnerability are different and the management of time boundaries bring these dynamics vividly to life. The paper closes with some practical considerations around remote working as this is likely to be a part of our practice even after the pandemic is finally over. [ABSTRACT FROM AUTHOR]

The COVID‐19 pandemic inflicted multiple threats to individuals' physical, mental, and financial health conditions. The pandemic‐related restrictive behaviors pose serious consequences for public health and increase the risk of mental illness among individuals, particularly among older citizens. The combination of their pre‐existing illnesses, social isolation, COVID fear, and financial adversity frequently aggravates their condition and leads to depression and mental illness. Thus, the present study investigates the mental health status and the determinants of depressive symptoms among older adults of Bhubaneswar during the COVID pandemic context. The study used the Geriatric Depression Scale (GDS‐15) to measure their depressive symptoms. The social isolation parameter is measured with the De Jong Gierveld Loneliness Scale. Financial self‐efficacy, COVID‐19‐related psychological fear, and comorbidity health status are other determinants considered. A chi‐square test and multinomial logistic regression (MLR) models are adopted to find the probable risk factors that may influence depressive symptoms among older people. The results indicate that comorbidity health conditions, a social isolation mindset, and financial efficacy issues are the significant determinants that drive an older person towards different depression categories. The improvement of these influential factors can lead senior citizens to avoid any health emergency like COVID pandemic. In the event of a public health emergency, such as COVID pandemic, the government could use the study's findings to devise methods for assisting the elderly. Society as a whole should be aware of these findings, which can lead to depressive symptoms, and offer support to the elderly. Future research may concentrate on identifying the causes of depressive symptoms in different age groups or in the presence of specific comorbidity health conditions. Future research may also investigate the factors influencing depressive symptoms in a specific occupation. [ABSTRACT FROM AUTHOR]