scholarly journals Effective Strategies for Crowd-Powered Cognitive Reappraisal Systems: A Field Deployment of the Flip*Doubt Web Application for Mental Health

2021 ◽  
Vol 5 (CSCW2) ◽  
pp. 1-37
Author(s):  
C. Estelle Smith ◽  
William Lane ◽  
Hannah Miller Hillberg ◽  
Daniel Kluver ◽  
Loren Terveen ◽  
...  
Keyword(s):  
Mental Health ◽  
Web Application ◽  
Cognitive Reappraisal ◽  
Effective Strategies ◽  
Field Deployment

The acceptability of web-care for patients with major depressive disorder

2016 ◽  
Vol 33 (S1) ◽  
pp. S28-S28
Author(s):  
M. Ladea ◽  
M. Bran
Keyword(s):  
Mental Health ◽  
Web Application ◽  
New Technologies ◽  
Depression Scale ◽  
Assessment Tools ◽  
Online Information ◽  
Evaluation Tool ◽  
Governmental Organization ◽  
Self Evaluation ◽  
Competing Interest

IntroductionWith the extraordinary rate of development of E-health and widespread internet access in Romania, Inomedica decided to create a platform dedicated primarily to the patients and their families: depresiv.ro. According to Internet Live Stats there were 11,178,477 Internet users in Romania (representing 51.66% of the population) in 2014. Inomedica is a non-governmental organization founded by a multidisciplinary team (psychiatrists, sociologists, IT specialists).The platforms provide rigorous and quality online information about depression as well as self-assessment tools and Q&A section.The presentation will explore the development and effects of the first 16 months of operation of a web platform about depression.MethodsThe depresiv.ro platform design is simple and user friendly. Mental health specialists contributed to the development of the content, which is easy to access and understand.The platform also provides access to a self-evaluation tool, the Hospital Anxiety and Depression Scale (HADS), and thus helps the users identify possible problems and encourage them to seek professional help. The web application also included a demographic questionnaire, and a medical history questionnaire. A native iOS version of the application is available to download free on AppStore. The platform is supported by a Google grant program.ResultsThe platform traffic increased from a few users per day at launch to more than 1000 unique visitors per day. Since 1st January 2015, about 178,000 unique visitors accessed the platform. All the metrics improved significantly during the last months: bounce rate (66.3%), average session duration (02:17 minutes), number of pages per session (2.4).About 25,000 users accessed the HADS application since its release, from August 2014 until September 2015, showing the increasing need for free online self-evaluation tools.The Q&A section is one of the most visited on the platform since many users try to find answers for their questions regarding depressive or anxiety symptoms.ConclusionsAs new technologies are introduced and become more accessible, mental health specialists are developing new ways of providing services and collecting data. The traffic data/usage for both the depresiv.ro platform and the app are evidence for the widespread acceptability of web-based delivery methods.Disclosure of interestThe authors have not supplied their declaration of competing interest.

Web application to support evidence of individual emotional impact evoked by COVID-19 pandemic restrictions (Preprint)

2021 ◽  
Author(s):  
Hugo Mitre-Hernandez ◽  
Rodolfo Ferro-Perez ◽  
Francisco Gonzalez-Hernandez
Keyword(s):  
Neural Network ◽  
Mental Health ◽  
Neural Networks ◽  
Emotion Recognition ◽  
Web Application ◽  
Deep Neural Network ◽  
Data Transfer ◽  
Computational Cost ◽  
Low Computational Cost ◽  
The Web

BACKGROUND Mental health effects during COVID-19 quarantine need to be handled because patients, relatives, and healthcare workers are living with negative emotional behaviors. The clinical disorders of depression and anxiety are evoking anger, fear, sadness, disgust, and reducing happiness. Therefore, track emotions with the help of psychologists on online consultations –to reduce the risk of contagion– will go a long way in assisting with mental health. The human micro-expressions can describe genuine emotions of people and can be captured by Deep Neural Networks (DNNs) models. But the challenge is to implement it under the poor performance of a part of society's computers and the low speed of internet connection. OBJECTIVE This study aimed to create a useful and usable web application to record emotions in a patient’s card in real-time, achieving a small data transfer, and a Convolutional Neural Networks (CNN) model with a low computational cost. METHODS To validate the low computational cost premise, firstly, we compare DNN architectures results, collecting the floating-point operations per second (FLOPS), the Number of Parameters (NP) and accuracy from the MobileNet, PeleeNet, Extended Deep Neural Network (EDNN), Inception- Based Deep Neural Network (IDNN) and our proposed Residual mobile-based Network (ResmoNet) model. Secondly, we compare the trained models' results in terms of Main Memory Utilization (MMU) and Response Time to complete the Emotion recognition (RTE). Finally, we design a data transfer that includes the raw data of emotions and the basic text information of the patient. The web application was evaluated with the System Usability Scale (SUS) and a utility questionnaire by psychologists and psychiatrists (experts). RESULTS All CNN models were set up using 150 epochs for training and testing comparing the results for each variable in ResmoNet with the best model. It was obtained that ResmoNet has 115,976 NP less than MobileNet, 243,901 FLOPS less than MobileNet, and 5% less accuracy than EDNN (95%). Moreover, ResmoNet used less MMU than any model, only EDNN overcomes ResmoNet in 0.01 seconds for RTE. Finally, with our model, we develop a web application to collect emotions in real-time during a psychological consultation. For data transfer, the patient’s card and raw emotional data have 2 kb with a UTF-8 encoding approximately. Finally, according to the experts, the web application has good usability (73.8 of 100) and utility (3.94 of 5). CONCLUSIONS A usable and useful web application for psychologists and psychiatrists is presented. This tool includes an efficient and light facial emotion recognition model. Its purpose is to be a complementary tool for diagnostic processes.

scholarly journals Forensic Mental Health Practitioners’ Use of Structured Risk Assessment Instruments, Views About Bias in Risk Evaluations, and Strategies to Counteract It

2020 ◽  
Author(s):  
Jennifer Kamorowski ◽  
Corine de Ruiter ◽  
Maartje Schreuder ◽  
Karl Ask ◽  
Marko Jelicic
Keyword(s):  
Mental Health ◽  
Risk Assessment ◽  
Blind Spot ◽  
Mental Health Practitioners ◽  
Assessment Instruments ◽  
Forensic Mental Health ◽  
Effective Strategies ◽  
Health Practitioners ◽  
Bias Blind Spot ◽  
And Training

The use of structured risk assessment instruments (SRAIs) has increased significantly over the past decades, with research documenting variation between countries. The use of SRAIs, their perceived utility and potential for mitigating bias in forensic risk evaluations (FREs) was investigated in a survey of Dutch forensic mental health practitioners (N = 110) We found generally positive views regarding SRAI utility. Bias in FREs was of concern to respondents. We found no evidence of a bias blind spot (the belief that oneself is less prone to bias than peers/colleagues). SRAIs were rated as the most effective debiasing strategy, but respondents also endorsed introspection. There were few differences in beliefs about sources of bias or debiasing strategies between respondents who had bias training and those who had not, suggesting the need for development of effective strategies to mitigate bias and training related to bias in FREs.

scholarly journals Negative Emotions in Chinese Frontline Medical Staff During the Early Stage of the COVID-19 Epidemic: Status, Trend, and Influential Pathways Based on a National Investigation

2021 ◽  
Vol 12 ◽  
Author(s):  
Xiaoxiao Sun ◽  
Fei Xie ◽  
Beijing Chen ◽  
Peixia Shi ◽  
Sitong Shen ◽  
...  
Keyword(s):  
Mental Health ◽  
Risk Perception ◽  
Medical Staff ◽  
Early Stage ◽  
Negative Emotions ◽  
Cognitive Reappraisal ◽  
Emotional Status ◽  
Epidemic Period ◽  
Over Time ◽  
Avoidant Behavior

Objective: The outbreak of coronavirus disease 2019 (COVID-19), declared as a major public health emergency, has had profound effects on public mental health especially emotional status. Due to professional requirements, medical staff are at a higher risk of infection, which might induce stronger negative emotions. This study aims to reveal the emotional status of Chinese frontline medical staff in the early epidemic period to better maintain their mental health, and provide adequate psychological support for them.Methods: A national online survey was carried out in China at the early stage of the COVID-19 epidemic. In total, 3025 Chinese frontline medical staff took part in this investigation which utilized a general information questionnaire, the Emotion Regulation Questionnaire (ERQ), and the Berkeley Expressivity Questionnaire (BEQ).Results: At the early stage of COVID-19, anxiety was the most common negative emotion of Chinese medical staff, followed by sadness, fear, and anger, mainly at a mild degree, which declined gradually over time. Nurses had the highest level of negative emotions compared with doctors and other healthcare workers. Women experienced more fear than men, younger and unmarried medical staff had more anxiety and fear compared with elders and married ones. Risk perception and emotional expressivity increased negative emotions, cognitive reappraisal reduced negative emotions, while negative emotions led to more avoidant behavior and more physical health disturbances, in which negative emotions mediated the effect of risk perception on avoidant behavior tendency in the model test.Conclusion: Chinese frontline medical staff experienced a mild level of negative emotions at the early stage of COVID-19, which decreased gradually over time. The findings suggest that during the epidemic, nurses' mental health should be extensively attended to, as well as women, younger, and unmarried medical staff. To better ensure their mental health, reducing risk perception and improving cognitive reappraisal might be important, which are potentially valuable to form targeted psychological interventions and emotional guidance under crisis in the future.

scholarly journals Immigrant women, nature and mental health

2020 ◽  
Vol 16 (4) ◽  
pp. 359-372
Author(s):  
Catherine Anne Nicole Lorentzen ◽  
Berit Viken
Keyword(s):  
Mental Health ◽  
Immigrant Women ◽  
Qualitative Content Analysis ◽  
Low Cost ◽  
Cost Effective ◽  
Well Being ◽  
Natural Environments ◽  
Content Type ◽  
Individual Interviews ◽  
Effective Strategies

Purpose There is a need for cost-effective strategies to counteract mental health challenges among immigrant women. This study aims to identify how nature might improve the mental health status of immigrant women residing in Norway. Design/methodology/approach Qualitative data were gathered through individual interviews with 14 immigrant women from Iran (2), Poland (2), Palestine, Afghanistan, Congo, Kenya, Thailand, Russia, Portugal, Latvia, Colombia and Bulgaria. Findings The qualitative content analysis revealed that interaction with nature positively influenced the immigrant women’s mental health. This occurred because of the following: exposure to nature itself, leading to mood enhancements; familiarization with the new country’s culture, nature, climate and language, facilitating feelings of mastery, attachment and belonging; social interactions, promoting immediate well-being and future social support; interacting with nature in familiar ways, reducing feelings of alienation/loss; and physical activity, improving mood and stress-related conditions. These mental health improvements were a result of interactions with various types of natural environments. Originality/value This study supports the promotion of interaction with nature among immigrant women as part of low-cost public health work. Practitioners should consider multiple arenas for potential nature-related mental health gains.

scholarly journals Effective Strategies for Managing COVID-19 Emergency Restrictions for Adults with Severe ASD in a Daycare Center in Italy

2020 ◽  
Vol 10 (7) ◽  
pp. 436
Author(s):  
Natascia Brondino ◽  
Stefano Damiani ◽  
Pierluigi Politi
Keyword(s):  
Mental Health ◽  
Autism Spectrum Disorder ◽  
Retrospective Study ◽  
Challenging Behaviors ◽  
Autism Spectrum ◽  
Daily Activities ◽  
Daycare Center ◽  
Effective Strategies ◽  
Daycare Centers ◽  
The Impact

The COVID-19 pandemic has posed a serious challenge for the life and mental health of people with autism spectrum disorder (ASD). COVID-19 sanitary restrictions led to significant changes in the lives of people with ASD, including their routines; similarly, these modifications affected the daily activities of the daycare centers which they attended. The present retrospective study evaluated the impact of COVID-19 restrictions on challenging behaviors in a cohort of people with severe ASD attending a daycare center in Italy at the beginning of the pandemic. During the first two weeks of the pandemic, we did not observe variations in challenging behaviors. This suggests that adaptations used to support these individuals with ASD in adapting to the COVID-19 emergency restrictions were effective for managing their behavior.

Relation between Emotion Regulation and Mental Health: A Meta-Analysis Review

2014 ◽  
Vol 114 (2) ◽  
pp. 341-362 ◽  
Author(s):  
Tianqiang Hu ◽  
Dajun Zhang ◽  
Jinliang Wang ◽  
Ritesh Mistry ◽  
Guangming Ran ◽  
...  
Keyword(s):  
Mental Health ◽  
Emotion Regulation ◽  
Cultural Values ◽  
Meta Analysis ◽  
Cognitive Reappraisal ◽  
Expressive Suppression ◽  
Moderator Variable ◽  
Regulation Strategies ◽  
Positive Indicators

This meta-analysis examined the relationship between emotion regulation strategies (cognitive reappraisal, expressive suppression) and mental health (measured by life-satisfaction, positive affect, depression, anxiety, and negative affect). 48 studies, which included 51 independent samples, 157 effect sizes, and 21,150 participants, met the inclusion criteria. The results showed that cognitive reappraisal was correlated significantly and positively with positive indicators of mental health ( r=.26) and negatively with negative indicators of mental health ( r=–.20). Expressive suppression was correlated negatively with positive indicators of mental health ( r=–.12), and positively with negative indicators of mental health ( r=.15). Expressive suppression was correlated positively with positive indicators of mental health within the category of samples with Western cultural values ( r=–.11) but not the category with Eastern cultural values. Moreover, the correlation of expressive suppression and negative indicators of mental health was stronger in the Western cultural values category ( r=.19) than in the Eastern cultural values category ( r=.06). Therefore, it is necessary for follow-up studies about emotion regulation and mental health to consider some moderator variable like the culture.

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