Telepsychiatry during the COVID-19 pandemic

Digital health technologies and major depressive disorder

There is an urgent need to improve the clinical management of major depressive disorder (MDD), which has become increasingly prevalent over the past two decades. Several gaps and challenges in the awareness, detection, treatment, and monitoring of MDD remain to be addressed. Digital health technologies have demonstrated utility in relation to various health conditions, including MDD. Factors related to the COVID-19 pandemic have accelerated the development of telemedicine, mobile medical apps, and virtual reality apps and have continued to introduce new possibilities across mental health care. Growing access to and acceptance of digital health technologies present opportunities to expand the scope of care and to close gaps in the management of MDD. Digital health technology is rapidly evolving the options for nonclinical support and clinical care for patients with MDD. Iterative efforts to validate and optimize such digital health technologies, including digital therapeutics and digital biomarkers, continue to improve access to and quality of personalized detection, treatment, and monitoring of MDD. The aim of this review is to highlight the existing gaps and challenges in depression management and discuss the current and future landscape of digital health technology as it applies to the challenges faced by patients with MDD and their healthcare providers.

Psychological impacts and online interventions of social isolation amongst older adults during COVID-19 pandemic: A scoping review

AIM

To summarise the psychological impacts of social isolation amongst older adults during COVID-19 and review the benefits and limitations of online interventions used to combat social isolation.

DESIGN

A scoping review was performed.

DATA SOURCES

A systematic search was performed from October 2020 to January 2021 in seven electronic databases: China National Knowledge Infrastructure (CNKI), PubMed, EMBASE, Cumulative Index to Nursing and Allied Health Literature (CINAHL), PsycINFO, Cochrane Library and Web of Science. A hand search of the reference lists of included papers and WHO publications was performed. Grey literature search was carried out from Scopus, ProQuest Dissertation and Google Scholar.

REVIEW METHODS

Studies were screened, appraised and extracted independently by two reviewers. Thematic analysis was used to synthesise data, which were presented in a descriptive manner and organised into categories and themes.

RESULTS

Totally, 33 studies were included. Four themes and eight sub-themes emerged: (1) negative impacts and experiences of older adults during social isolation, (2) adopting coping behaviours in the midst of COVID-19, (3) online interventions to combat the consequences of social isolation, (4) barriers to online intervention.

CONCLUSION

The COVID-19 pandemic has taken an emotional toll on older adults' psychological wellbeing and has highlighted the untapped strengths of older adults facing isolation. Online interventions, which could be a new normal in the COVID era, were beneficial in combating social isolation. Strategies by various stakeholders were recommended to tackle the barriers of online interventions.

IMPACT

With the COVID-19 pandemic still in progress, this review provides insights on the psychological impacts of social isolation amongst older adults. Nurses in the community and long-term care facilities could adopt strategies and online intervention to better support the older adults, contribute to a stronger COVID-19 response and support system, and an overall better road to recovery from this crisis.

Non-contact Measurement of Pulse Rate Variability Using a Webcam and Application to Mental Illness Screening System

The COVID-19 pandemic is a global health crisis. Mental health is critical in such uncertain situations, particularly when people are required to significantly restrict their movements and change their lifestyles. Under these conditions, many countries have turned to telemedicine to strengthen and expand mental health services. Our research group previously developed a mental illness screening system based on heart rate variability (HRV) analysis, enabling an objective and easy mental health self-check. This screening system cannot be used for telemedicine because it uses electrocardiography (ECG) and contact photoplethysmography (PPG), that are not widely available outside of a clinical setting. The purpose of this study is to enable the extension of the aforementioned system to telemedicine by the application of non-contact PPG using an RGB webcam, also called imaging- photoplethysmography (iPPG). The iPPG measurement errors occur due to changes in the relative position between the camera and the target, and due to changes in light. Conventionally, in image processing, the pixel value of the entire face region is used. We propose skin pixel extraction to eliminate blinks, eye movements, and changes in light and shadow. In signal processing, the green channel signal is conventionally used as a pulse wave owing to the absorption characteristics of blood flow. Taking advantage of the fact that the red and blue channels contain noise, we propose a signal reconstruction method for removing noise and strengthening the signal in the pulse rate variability (PRV) frequency band by weighting the three signals of the RGB camera. We conducted an experiment with 13 healthy subjects, and showed that the PRV index and pulse rate (PR) errors estimated by the proposed method were smaller than those of the conventional method. The correlation coefficients between estimated values by the proposed method and reference values of LF, HF, and PR were 0.86, 0.69, and 0.96, respectively.