Digital Collateral Information Through Electronic and Social Media in Psychotherapy: Comparing Clinician-reported Trends Before and During the COVID-19 Pandemic.

BACKGROUND: Patient clinical collateral information is critical for providing psychiatric and psychotherapeutic care. With the shift to primarily virtual care triggered by the COVID-19 pandemic, psychotherapists may have received less clinical information than they did when they were providing in-person care. This study assesses whether the shift to virtual care had an impact on therapists' use of patients' electronic and social media to augment clinical information that may inform psychotherapy. METHODS: In 2018, we conducted a survey of a cohort of psychotherapists affiliated with McLean Hospital. We then reapproached the same cohort of providers for the current study, gathering survey responses from August 10, 2020, to September 1, 2020, for this analysis. We asked clinicians whether they viewed patients' electronic and social media in the context of their psychotherapeutic relationship, what they viewed, how much they viewed it, and their attitudes about doing so. RESULTS: Of the 99 respondents, 64 (64.6%) had viewed at least 1 patient's social media and 8 (8.1%) had viewed a patient's electronic media. Of those who reported viewing patients' media, 70 (97.2%) indicated they believed this information helped them provide more effective treatment. Compared with the 2018 prepandemic data, there were significantly more clinicians with>10 years of experience reporting media use in therapy. There was also a significant increase during the pandemic in the viewing of media of adult patients and a trend toward an increase in viewing of media of older adult patients. CONCLUSIONS: Review of patients' electronic and social media in therapy became more common among clinicians at a large psychiatric teaching hospital during the COVID-19 pandemic. These findings support continuing research about how reviewing patients' media can inform and improve clinical care.

Monitoring Behaviors of Patients With Late-Stage Dementia Using Passive Environmental Sensing Approaches: A Case Series.

OBJECTIVE: To show the feasibility of using different unobtrusive activity-sensing technologies to provide objective behavioral markers of persons with dementia (PwD). DESIGN: Monitored the behaviors of two PwD living in memory care unit using the Oregon Center for Aging & Technology (ORCATECH) platform, and the behaviors of two PwD living in assisted living facility using the Emerald device. SETTING: A memory care unit in Portland, Oregon and an assisted living facility in Framingham, Massachusetts. PARTICIPANTS: A 63-year-old male with Alzheimer's disease (AD), and an 80-year-old female with frontotemporal dementia, both lived in a memory care unit in Portland, Oregon. An 89-year-old woman with a diagnosis of AD, and an 85-year-old woman with a diagnosis of major neurocognitive disorder, Alzheimer's type with behavioral symptoms, both resided at an assisted living facility in Framingham, Massachusetts. MEASUREMENTS: These include: sleep quality measured by the bed pressure mat; number of transitions between spaces and dwell times in different spaces measured by the motion sensors; activity levels measured by the wearable actigraphy device; and couch usage and limb movements measured by the Emerald device. RESULTS: Number of transitions between spaces can identify the patient's episodes of agitation; activity levels correlate well with the patient's excessive level of agitation and lack of movement when the patient received potentially inappropriate medication and neared the end of life; couch usage can detect the patient's increased level of apathy; and periodic limb movements can help detect risperidone-induced side effects. This is the first demonstration that the ORCATECH platform and the Emerald device can measure such activities. CONCLUSION: The use of technologies for monitoring behaviors of PwD can provide more objective and intensive measurements of PwD behaviors.

Contactless In-Home Monitoring of the Long-Term Respiratory and Behavioral Phenotypes in Older Adults With COVID-19: A Case Series.

Currently, there is a limited understanding of long-term outcomes of COVID-19, and a need for in-home measurements of patients through the whole course of their disease. We study a novel approach for monitoring the long-term trajectories of respiratory and behavioral symptoms of COVID-19 patients at home. We use a sensor that analyzes the radio signals in the room to infer patients' respiration, sleep and activities in a passive and contactless manner. We report the results of continuous monitoring of three residents of an assisted living facility for 3 months, through the course of their disease and subsequent recovery. In total, we collected 4,358 measurements of gait speed, 294 nights of sleep, and 3,056 h of respiration. The data shows differences in the respiration signals between asymptomatic and symptomatic patients. Longitudinally, we note sleep and motor abnormalities that persisted for months after becoming COVID negative. Our study represents a novel phenotyping of the respiratory and behavioral trajectories of COVID recovery, and suggests that the two may be integral components of the COVID-19 syndrome. It further provides a proof-of-concept that contactless passive sensors may uniquely facilitate studying detailed longitudinal outcomes of COVID-19, particularly among older adults.