Efficacy and Acceptability of Remote Cognitive Behavioral Therapy for Patients With Major Depressive Disorder in Japanese Clinical Settings: A Case Series.

Remote cognitive and behavioral therapy (CBT) via videoconference has been garnering attention as a means of improving access to CBT for depression, in particular during the coronavirus disease 2019 pandemic. However, there is a lack of evidence supporting its implementation in Japanese clinical settings. This case series aimed to establish preliminary evidence of whether remote CBT can be an effective therapy for major depression in Japanese clinical settings. Five patients who met the diagnostic criteria for major depressive disorder were enrolled and underwent remote CBT via videoconference and face-to-face assessment interviews. The results showed that remote CBT via videoconference improved depressive symptoms, enabling a relatively high level of patient satisfaction and working alliance. Moreover, detailed feedback from our patients showed that continuous monitoring was preferable for increasing treatment engagement. Further research is warranted to test the efficacy and acceptability of remote CBT via videoconference for treating major depression.

Online Mindfulness Experience for Emotional Support to Healthcare staff in times of Covid-19.

During the first confinement in Spain, between the months of March to June 2020, Information and Communication Technologies strategies were implemented in order to support health workers in the Wellbeing of Mental Health. Faced with so much uncertainty about the pandemic, an Online Mindfulness course. The objective of the course was to support healthcare professionals in Castilla y León in managing stress, anxiety and other emotional disturbances generated by coping with a situation as uncertain and unexpected as a pandemic, in order to manage emotions and thoughts that can lead to suicidal ideation. The motivations for the demand, reasons or motivations in which the health professionals of Castilla y León decided to participate in the mindfulness course in the first wave of Covid-19 in Spain are described. The descriptive and inferential statistical analysis of the customer satisfaction survey applied at the end of the mindfulness course, to the health professionals who participated in a satisfaction survey (CSQ-8: Client Satisfaction Questionnaire). Professional were asked to complete a survey based on (CSQ-8: Client Satisfaction Questionnaire) whose Cronbach's alpha = 0.917 is why the instrument used with N = 130 participants has high reliability. The 66% answered with a highly satisfied that they would return to the mindfulness online course. The 93% of the people who answered the satisfaction survey were women, of which they are professionals in the nursing area, with a participation of around 62%. In relation to the online system used in the Mindfulness intervention, 74% expressed that they fully agreed that it has been easy to use the online system for the mindfulness intervention. Health Professionals responded with 58% high satisfaction and 36% satisfaction, making a total of 94% on the help received in the online mindfulness courses to solve their problems. There is no difference between the age groups of the professionals who have preferred the Mindfulness online course (p = 0.672).

Sentiment Analysis Techniques Applied to Raw-Text Data from a Csq-8 Questionnaire about Mindfulness in Times of COVID-19 to Improve Strategy Generation.

The use of artificial intelligence in health care has grown quickly. In this sense, we present our work related to the application of Natural Language Processing techniques, as a tool to analyze the sentiment perception of users who answered two questions from the CSQ-8 questionnaires with raw Spanish free-text. Their responses are related to mindfulness, which is a novel technique used to control stress and anxiety caused by different factors in daily life. As such, we proposed an online course where this method was applied in order to improve the quality of life of health care professionals in COVID 19 pandemic times. We also carried out an evaluation of the satisfaction level of the participants involved, with a view to establishing strategies to improve future experiences. To automatically perform this task, we used Natural Language Processing (NLP) models such as swivel embedding, neural networks, and transfer learning, so as to classify the inputs into the following three categories: negative, neutral, and positive. Due to the limited amount of data available-86 registers for the first and 68 for the second-transfer learning techniques were required. The length of the text had no limit from the user's standpoint, and our approach attained a maximum accuracy of 93.02% and 90.53%, respectively, based on ground truth labeled by three experts. Finally, we proposed a complementary analysis, using computer graphic text representation based on word frequency, to help researchers identify relevant information about the opinions with an objective approach to sentiment. The main conclusion drawn from this work is that the application of NLP techniques in small amounts of data using transfer learning is able to obtain enough accuracy in sentiment analysis and text classification stages.

Japanese health and safety information for overseas visitors: protocol for a randomized controlled trial.

BACKGROUND: Before the COVID-19 pandemic occurred in January 2020, the number of overseas visitors to Japan had increased threefold over the last decade. To minimize the risk of health problems, visitors should be able to access information on the health care systems of the places they visit. Most short-term overseas visitors are young adults. Although they are not very likely to get sick from noncommunicable diseases, they are at high risk for injury and often experience stomach ailments, fever, or nausea when travelling. The objective of this study is to evaluate culturally and linguistically appropriate health information on preventive health behaviours and the health care system in Japan. We will examine the level of satisfaction of overseas visitors to Japan with health care-related educational materials using a five-minute digital game named Sa-Chan Japan. METHODS: Our study is a randomized controlled trial (RCT). We will assess both satisfaction and motivation before, during, and after the interventions and examine the changes over time. The intervention group will comprise overseas visitors who will view and answer questions in an animation named Sa-Chan Japan. The control group will comprise overseas visitors who will watch an English digital animation named Mari Info Japan. We will recruit 1002 participants through the Macromill Internet portal. We will contact overseas visitors who have either visited or wish to visit Japan from the United Kingdom, United States, and Australia. The participants will fill out a self-administered questionnaire online in the first quarter of 2021. We will determine the participants' levels of satisfaction with the CSQ-8 (8-item Client Satisfaction Questionnaire). We will analyse the median score of the overseas visitors with both the Wilcoxon rank-sum and the Wilcoxon signed-rank tests. Our protocol of randomized controlled trials follows the SPIRIT guidelines. DISCUSSION: Our research will utilize unique digital education strategies in a game that promotes health and safety among overseas visitors to Japan. We believe the results of this study will be useful in overcoming the current challenges regarding pretravel health requirements for overseas visitors worldwide. TRIAL REGISTRATION: Version 1 of this trial was registered in the UMIN-CTR (University Hospital Medical Information Network Center Clinical Trials Registry), and the trial registration data are available on UMIN000042483 , November 17, 2020.