The Bot Will See You Now: A History and Review of Interactive Computerized Mental Health Programs

Effectiveness of a Mental Health Chatbot for People With Chronic Diseases: Randomized Controlled Trial

BACKGROUND

People with chronic diseases tend to experience more mental health issues than their peers without these health conditions. Mental health chatbots offer a potential source of mental health support for people with chronic diseases.

OBJECTIVE

The aim of this study was to determine whether a mental health chatbot can improve mental health in people with chronic diseases. We focused on 2 chronic diseases in particular: arthritis and diabetes.

METHODS

Individuals with arthritis or diabetes were recruited using various web-based methods. Participants were randomly assigned to 1 of 2 groups. Those in the treatment group used a mental health chatbot app (Wysa [Wysa Inc]) over a period of 4 weeks. Those in the control group received no intervention. Participants completed measures of depression (Patient Health Questionnaire-9), anxiety (Generalized Anxiety Disorder Scale-7), and stress (Perceived Stress Scale-10) at baseline, with follow-up testing 2 and 4 weeks later. Participants in the treatment group completed feedback questions on their experiences with the app at the final assessment point.

RESULTS

A total of 68 participants (n=47, 69% women; mean age 42.87, SD 11.27 years) were included in the analysis. Participants were divided evenly between the treatment and control groups. Those in the treatment group reported decreases in depression (P<.001) and anxiety (P<.001) severity over the study period. No such changes were found among participants in the control group. No changes in stress were reported by participants in either group. Participants with arthritis reported higher levels of depression (P=.004) and anxiety (P=.004) severity than participants with diabetes over the course of the study, as well as higher levels of stress (P=.01); otherwise, patterns of results were similar across these health conditions. In response to the feedback questions, participants in the treatment group said that they liked many of the functions and features of the app, the general design of the app, and the user experience. They also disliked some aspects of the app, with most of these reports focusing on the chatbot's conversational abilities.

CONCLUSIONS

The results of this study suggest that mental health chatbots can be an effective source of mental health support for people with chronic diseases such as arthritis and diabetes. Although cost-effective and accessible, these programs have limitations and may not be well suited for all individuals.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04620668; https://www.clinicaltrials.gov/study/NCT04620668.

[Suicidal behavior in light of COVID-19 outbreak: Clinical challenges and treatment perspectives]

OBJECTIVE

The COVID-19 pandemic affected today more than 3,000,000 worldwide, and more than half of humanity has been placed in quarantine. The scientific community and the political authorities fear an epidemic of suicide secondary to this crisis. The aim of this review is to analyze the impact of the COVID-19 pandemic on the dimensions of the suicidal process and its interaction with the various risk factors. We also propose innovative strategies to manage suicidal behavior in the context of pandemic.

METHODS

We carried out a narrative review of international publications dealing with major pandemics (COVID-19, SARS) and their influence on suicidal vulnerability.

RESULTS

Many factors are likely to increase the emergence of suicidal ideation and suicide attempts during this crisis. Social distancing and quarantine could increase the feeling of disconnection and the perception of social pain in vulnerable individuals. Some populations at high suicidal risk could be further impacted by the current pandemic: the elderly, medical staff and individuals exposed to economic insecurity. Several innovative tools adapted to the constraints of social distancing and quarantine may prevent suicide risk: e-health, VigilanS, buddhist-derived practices and art engagement.

CONCLUSIONS

This unprecedented crisis may interact with certain dimensions of the suicidal process. However, it is time to innovate. Several suicide prevention tools all have their place in new modes of care and should be tested on a large scale.

Social Media University Branding

Globalization has increased the demands placed on higher education and increased competition among universities. In response, institutions of higher education have started to consider their online presence as a potential competitive advantage. The aim of this article is to analyze and compare Facebook activity and content created by the world’s top ten universities. The professional social media analytics tool Socialbakers is used to monitor activity and collect data for analysis. The world’s top ten universities are determined based on the Quacquarelli Symonds (QS) University Rankings. The study results are divided into four categories: an analysis of the number of fans, of content, of style, and of post promotion. All of the studied universities upload a post at least once per day. Based on the study results, selected posts could be examples of best practice and serve to inspire other educational institutions to improve their brand image and communication on social networks. Social media provide a large amount of detailed data concerning the behavior of students and other stakeholders and on the effectiveness of promotional campaigns. To use social media effectively, it is necessary to collect the available data and evaluate them to gain insight on which to base an appropriate social media strategy