scholarly journals Potential role of artificial intelligence to address the COVID-19 outbreak-related mental health issues in India

2020 ◽  
Vol 290 ◽  
pp. 113176 ◽  
Author(s):  
Ramdas Ransing ◽  
Sachin Nagendrappa ◽  
Amol Patil ◽  
Sheikh Shoib ◽  
Dipayan Sarkar
BJPsych Open ◽  
2021 ◽  
Vol 7 (S1) ◽  
pp. S148-S148
Author(s):  
Emma McLean ◽  
Mariam Alexander

AimsTo host the first ELPS training day specifically for LAS staff to improve their knowledge and understanding about mental health issues and the role of ELPS.On average 13,000 calls are received by LAS relating to mental health issues every month. Many patients seen by ELPS will have multiple interactions with LAS. ELPS has previously held training for the Emergency Department team but this innovative day was designed to extend this training commitment to pre-hospital cliniciansMethodLAS training needs were initially assessed by a bespoke questionnaire and ELPS attending another LAS training event held by the new mental health joint response car team.We then developed a training programme to match the identified training needs and which utilised the specific expertise of individual ELPS staff.14 members of the local LAS stations attended including both Paramedics and Emergency Ambulance Clinicians. The presentations covered mental state examination, suicide, risk assessment, substance misuse, legal frameworks and then a ‘challenging cases’ session to bring it all together.Pre and post course questionnaires were completed by participants, exploring attitudes and knowledge.ResultThere was a statistically significant improvement in the average self-ratings for all of the categories assessed including attitudes to mental health, confidence in assessment and knowledge relating to the process the patient will experience in the emergency department.The knowledge about the pathway and role of liaison psychiatry showed the greatest improvement with an average 4.25 increase in pre and post course rating.Almost all participants (9.2/10) would recommend this training day to a colleagueConclusionWe met our objective of improving LAS staff knowledge and understanding about mental health issues and the role of ELPS. We plan to build on this successful pilot and expand our training programme for LAS with the ultimate aim of improving patient care.


2021 ◽  
Author(s):  
Paras Bhatt ◽  
Jia Liu ◽  
Yanmin Gong ◽  
Jing Wang ◽  
Yuanxiong Guo

BACKGROUND Artificial Intelligence (AI) has revolutionized healthcare delivery in recent years. There is an increase in research for advanced AI techniques, such as deep learning to build predictive models for the early detection of diseases. Such predictive models leverage mobile health (mHealth) data from wearable sensors and smartphones to discover novel ways for detecting and managing chronic diseases and mental health conditions. OBJECTIVE Currently, little is known about the use of AI-powered mHealth settings. Therefore, this scoping review aims to map current research on the emerging use of AI-powered mHealth (AIM) for managing diseases and promoting health. Our objective is to synthesize research in AIM models that have increasingly been used for healthcare delivery in the last two years. METHODS Using Arksey and O’Malley’s 5-point framework for conducting scoping reviews, we review AIM literature from the past two years in the fields of Biomedical Technology, AI, and Information Systems (IS). We searched three databases - informs PubsOnline, e-journal archive at MIS Quarterly, and ACM Digital Library using keywords such as mobile healthcare, wearable medical sensors, smartphones and AI. We include AIM articles and exclude technical articles focused only on AI models. Also, we use the PRISMA technique for identifying articles that represent a comprehensive view of current research in the AIM domain. RESULTS We screened 108 articles focusing on developing AIM models for ensuring better healthcare delivery, detecting diseases early, and diagnosing chronic health conditions, and 37 articles were eligible for inclusion. A majority of the articles were published last year (31/37). In the selected articles, AI models were used to detect serious mental health issues such as depression and suicidal tendencies and chronic health conditions such as sleep apnea and diabetes. The articles also discussed the application of AIM models for remote patient monitoring and disease management. The primary health concerns addressed relate to three categories: mental health, physical health, and health promotion & wellness. Of these, AIM applications were majorly used to research physical health, representing 46% of the total studies. Finally, a majority of studies use proprietary datasets (28/37) rather than public datasets. We found a lack of research in addressing chronic mental health issues and a lack of publicly available datasets for AIM research. CONCLUSIONS The application of AIM models for disease detection and management is a growing research domain. These models provide accurate predictions for enabling preventive care on a broader scale in the healthcare domain. Given the ever-increasing need for remote disease management during the pandemic, recent AI techniques such as Federated Learning (FL) and Explainable AI (XAI) can act as a catalyst to increase the adoption of AIM and enable secure data sharing across the healthcare industry.


Author(s):  
Tejaswini Bhave

This chapter attempts to present the overview of mental health issues associated with online dating and online romantic relationships with relevant research background. It briefly cautions about the possible risks involved in the world of online dating platforms and later delves into mental health concerns that can emerge out of experiences while selecting a potential partner online, developing a romantic relationship, and being involved in a romantic relationship online. It also discusses safety measures that need to be taken before and while being active on such online dating sites. The chapter draws attention to the specific role of mental health professionals that is needed while dealing with victims of online scams and abuse.


2020 ◽  
Vol 1 ◽  
Author(s):  
Florence Thibaut ◽  
Patricia J. M. van Wijngaarden-Cremers

Even if the fatality rate has been twice higher for men than for women, the Covid-19 pandemic has affected women more than men, both as frontline workers and at home. The aim of our article was to analyze the differences observed in mental health and violence between men and women in the COVID outbreak. For this purpose, we have used all papers available in PubMed between January and July 2020 as well as data from non-governmental associations. We have thus successively analyzed the situation of pregnancy during the pandemic; the specific psychological and psychiatric risks faced by women both as patients and as workers in the health sector, the increased risk of violence against women at home and at workplace and, finally the risk run by children within their families. In conclusion, research on the subject of mental health issues during the Covid-19 pandemic is still scarce, especially in women. We hope that this pandemic will help to recognize the major role of women at home and at the workplace.


Author(s):  
Namood E-Sahar

World statistics demonstrate that around 970 million people around the globe suffer from mental health problems (Ritchie & Roser, 2019), a major proportion of which comprised of adolescents and young adults (UNODC, 2018). Also, because of increased mental health issues the problems like substance use, suicide, depression, anxiety, and stress are also increasing (Armstrong, 2019; Bandelow & Michaelis, 2015; Ritchie & Roser, 2018; United Nations Office on Drugs and Crime [UNODC], 2019). It is thus a dire need to address the issue. The present coneptual paper proposed the role of transpersonal gratitude, emotional intelligence, and life contentment for reducing mental health risk among the adolescents and young adults.


Author(s):  
Ruth A. Brandwein

This overview entry introduces the topic of women, beginning with general demographic information. The section on poverty and inequality, which follows, describes the gender differences and delineates some reasons why women are poor and unequal. Issues of childcare, welfare, and education are explored. Domestic violence and sexual assault are discussed, followed by a discussion of health and mental health issues affecting women. The role of women in politics is briefly explored. The entry concludes with a discussion of current trends and challenges, including implications for social justice.


eye brings you another batch of the latest products and books on offerAddressing Challenging Behaviours and Mental Health Issues by Mojdeh Bayat (ISBN: 9781138012912). Paperback. £24.99. Published by Routledge. www.routledge.com/education; orders via 01235 400400; [email protected] Review by Martine HorvathExploring Education and Childhood edited by Dominic Wyse, Rosemary Davis, Phil Jones and Sue Rogers (ISBN: 9780415841115). Paperback. £24.99. Published by Routledge. www.routledge.com/education; orders via 01235 400400; [email protected] Review by Martine HorvathIntroducing Dialogic Pedagogy – provocations for the Early Years by E. Jayne White (ISBN: 9780415819855). Paperback. £27.99. Published by Routledge. www.routledge.com/education; orders via 01235 400400; books. [email protected] Review by Martine HorvathPicture booksEncouraging Physical Development Through Movement-Play by Carol Archer and Iram Siraj (ISBN: 9781446297124). Paperback. £24.99. Published by SAGE Publications. www.sagepublications.com; Tel: 020 73248500 Review by Martine HorvathStarting Inquiry-Based Science in the Early Years by Sue Dale Tunnicliffe (ISBN: 9781138778566). Paperback. £21.99. Published by Routledge. www.routledge.com/education; orders via 01235 400400; [email protected] Review by Martine HorvathThe Camera Book: loads of things you can do with a camera by John Davis (ISBN: 9780711236448). £9.99. Paperback. Published by Frances Lincoln Children's Books. Tel: 020 7284 9300; www.franceslincoln.co.uk/[email protected] Review by Neil HentyObserving Young Children The role of observation and assessment in early childhood settings by Sandra Smidt (ISBN: 9781138823563). Paperback. £19.99. Published by Routledge. www.routledge.com/education; orders via 01235 400400; [email protected] Review by Martine Horvath

2015 ◽  
Vol 17 (6) ◽  
pp. 54-56

Author(s):  
Laurie J. Burton ◽  
Pradip P. Kamat

Children with autism spectrum disorders (ASD) require procedural sedation for a variety of diagnostic and therapeutic reasons. Patients with ASD present a challenge to the sedationist due to a variety of issues, including impairment in social interaction, barriers to communication, complex behavioral patterns, stereotyped repetitive behavior, mental health issues, and a need for consistency in terms of environment and caregivers. Children with ASD, especially teenagers, can exhibit aggressive behavior, self-injury, and temper tantrums, which can lead to issues with efficient and safe preparation for procedural sedation. Other challenges include the need for additional resources, difficulties in approaching the patient to perform a physical examination, delays in administering premedications, and difficulty obtaining intravenous access prior to the procedure. Children with ASD are more likely to be referred for general anesthesia due to these problems. This chapter discusses the role of the sedationist in the procedural sedation of these children.


2005 ◽  
Vol 39 (6) ◽  
pp. 514-521 ◽  
Author(s):  
Sarah Wrigley ◽  
Henry Jackson ◽  
Fiona Judd ◽  
Angela Komiti

Objective: To examine the role of perceived stigma and attitudes to seeking care in predicting help-seeking from a general practitioner (GP) for mental health problems. Method: Across-sectional surveyin 2002 with self-repor t questionnaires assessing current levels of symptomatology, disability, attitudes towards mental illness, knowledge of prevalence and causes of mental illness, contact with mental illness and help-seeking behaviour and preferences and attitudes toward seeking professional psychological help. Results: No significant relationship was found between symptom measures and measures of disability and help-seeking. Variables positively associated with general attitudes to seeking professional psychological help were: lower perceived stigma, and biological rather than person-based causal attributions for schizophrenia. Willingness to discuss mental health issues with a GP was predicted by the perceived helpfulness of the GP and by no other variable. Conclusions: Causal attributions and perceivedstigma rather than participants' levels of symptomatology and disability influence attitudes to help-seeking for mental health issues. Efforts to improve attitudes to help-seeking should focus on reducing stigma and improving mental health literacy regarding the causes of disorders.


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