82 Defining overdiagnosis of mental health disorders: secondary analysis of an overdiagnosis scoping review

2018 ◽  
Author(s):  
Kimberly Turner ◽  
Ian Shrier ◽  
Brett Thombs
Keyword(s):  
Mental Health ◽  
Scoping Review ◽  
Secondary Analysis ◽  
Mental Health Disorders ◽  
Health Disorders

The physical literacy of children with behavioural and emotional mental health disorders: A scoping review

2018 ◽  
Vol 15 ◽  
pp. 95-131 ◽  
Author(s):  
Kathryn Fortnum ◽  
Bonnie Furzer ◽  
Siobhan Reid ◽  
Ben Jackson ◽  
Catherine Elliott
Keyword(s):  
Mental Health ◽  
Scoping Review ◽  
Mental Health Disorders ◽  
Physical Literacy ◽  
Health Disorders

The Use of Mobile and Wearable Artificial Intelligence in Child and Adolescent Psychiatry – A Scoping Review (Preprint)

2021 ◽  
Author(s):  
Victoria Welch ◽  
Tom Joshua Wy ◽  
Anna Ligezka ◽  
Leslie C. Hassett ◽  
Paul E. Croarkin ◽  
...  
Keyword(s):  
Mental Health ◽  
Artificial Intelligence ◽  
Scoping Review ◽  
Adolescent Psychiatry ◽  
Child And Adolescent ◽  
Mental Health Disorders ◽  
Wearable Devices ◽  
Autism Spectrum ◽  
Child And Adolescent Psychiatry ◽  
Health Disorders

BACKGROUND Mental health disorders across the life span are a leading cause of medical disabilities. This burden is particularly significant in children and adolescents due to challenges in diagnoses and lack of precision medicine approaches. The advent and widespread adoption of wearable devices (e.g., smartwatches) that generate large volumes of passively collected data that are conducive for artificial intelligence applications to remotely diagnose and manage child and adolescent mental health disorders is promising. OBJECTIVE This study conducted a scoping review to study, characterize and identify areas of innovations with wearable devices that can augment current in-person physician assessments to individualize diagnosis and management of mental health disorders in child and adolescent psychiatry. METHODS This scoping review used PRISMA’s information as a guide. A comprehensive search of several databases from 2011 to June 25, 2021, limited to English language and excluding animal studies, was conducted. The databases included Ovid MEDLINE (R) and Epub Ahead of Print, In-Process & Other Non-Indexed Citations and Daily, Ovid Embase, Ovid Cochrane Central Register of Controlled Trials, Ovid Cochrane Database of Systematic Reviews, Web of Science, and Scopus. RESULTS The initial search yielded 344 articles. 19 articles were left on the final source list for this scoping review. Articles were divided into three main groups: Studies with the main focus on Autism Spectrum Disorder (ASD), Attention Deficit Hyperactivity Disorders (ADHD) and Internalizing disorders such as anxiety disorders. Majority of the studies used either ECG strap or wrist worn biosensor. CONCLUSIONS Our scoping review found large heterogeneity of methods and findings in artificial intelligence studies in child psychiatry. Overall, the largest gaps identified in this scoping review are the lack of randomized control trials, most available studies are pilot feasibility trials.

Overview of the role of big data in mental health: A scoping review (Preprint)

2021 ◽  
Author(s):  
Arfan Ahmed ◽  
Sarah Aziz ◽  
Marco Angus ◽  
Mahmood Alzubaidi ◽  
Alaa Abd-Alrazaq ◽  
...  
Keyword(s):  
Mental Health ◽  
Machine Learning ◽  
Big Data ◽  
Scoping Review ◽  
Mental Health Disorders ◽  
Machine Learning Techniques ◽  
Support Vector ◽  
Great Effort ◽  
Scoping Reviews ◽  
Health Disorders

BACKGROUND Big Data offers promise in the field of mental health and plays an important part when it comes to automation, analysis and prevention of mental health disorders OBJECTIVE The purpose of this scoping review is to explore how big data was exploited in mental health. This review specifically addresses both the volume, velocity, veracity and variety of collected data as well as how data was attained, stored, managed, and kept private and secure. METHODS Six databases were searched to find relevant articles. PRISMA Extension for Scoping Reviews (PRISMA-ScR) was used as a guideline methodology to develop a comprehensive scoping review. RESULTS General and Big Data features were extracted from the studies reviewed. Various technologies were noted when it comes to using Big Data in mental health with depression and anxiety being the focus of most of the studies. Some of these included Machine Learning (ML) models in 22 studies of which Random Forest (RF) was the most widely used. Logistic Regression (LR) was used in 4 studies, and Support Vector Machine (SVM) was used in 3 studies. CONCLUSIONS In order to utilize Big Data as a way to mitigate mental health disorders and prevent their appearance altogether a great effort is still needed. Integration and analysis of Big Data, doctors and researchers alike can find patterns in otherwise difficult to identify data by making use of AI and Machine Learning techniques. Similarly, machine learning and artificial intelligence can be used to automate the analytical process.

Male farmers with mental health disorders: A scoping review

2013 ◽  
Vol 21 (1) ◽  
pp. 3-7 ◽  
Author(s):  
Philippe Roy ◽  
Gilles Tremblay ◽  
John L. Oliffe ◽  
Jalila Jbilou ◽  
Steve Robertson
Keyword(s):  
Mental Health ◽  
Scoping Review ◽  
Mental Health Disorders ◽  
Health Disorders

A scoping review of evaluated interventions addressing developmental transitions for youth with mental health disorders

2015 ◽  
Vol 42 (2) ◽  
pp. 176-187 ◽  
Author(s):  
B. Di Rezze ◽  
T. Nguyen ◽  
G. Mulvale ◽  
N. G. Barr ◽  
C. J. Longo ◽  
...  
Keyword(s):  
Mental Health ◽  
Scoping Review ◽  
Mental Health Disorders ◽  
Developmental Transitions ◽  
Health Disorders

Physical health among patients with common mental health disorders in primary care in Europe: a scoping review

2020 ◽  
pp. 1-17
Author(s):  
F. Fogarty ◽  
G. McCombe ◽  
K. Brown ◽  
T. Van Amelsvoort ◽  
M. Clarke ◽  
...  
Keyword(s):  
Mental Health ◽  
Primary Care ◽  
Mental Disorders ◽  
Mental Disorder ◽  
Scoping Review ◽  
Common Mental Disorder ◽  
Research Question ◽  
Mental Health Disorders ◽  
Hand Search ◽  
Health Disorders

Introduction: Mental disorders are increasingly common among adults in both the developed and developing world and are predicted by the WHO to be the leading cause of disease burden by 2030. Many common physical conditions are more common among people who also have a common mental disorder. This scoping review aims to examine the current literature about the prevention, identification and treatment of physical problems among people with pre-existing mental health disorders in primary care in Europe. Methods: The scoping review framework comprised a five-stage process developed by Arksey & O’Malley (2005). The search process was guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses. Both quantitative and qualitative studies were included, with no restriction on study design. Results: The initial search identified 299 studies, with a further 28 added from the hand-search (total n = 327) of which 19 were considered relevant to the review research question and included for full analysis. Depression was the mental health condition most commonly studied (nine studies), followed by depression and anxiety (seven studies), with three studies examining any mental disorder. Eleven studies examined the effects of various interventions to address physical and mental comorbidity, with the most commonly studied intervention being collaborative care. Conclusions: With just 19 studies meeting our criteria for inclusion, there is clearly a paucity of research in this area. Further research is essential in order to understand the pathophysiological mechanisms underlying the association between mental disorders and chronic conditions.

scholarly journals Mental Health of Pregnant Women during the Covid-19 Pandemic: Scoping Review

2021 ◽  
Vol 1 (3) ◽  
pp. 57-72
Author(s):  
Irne Wida Desiyanti ◽  
Rosmita Nuzuliana
Keyword(s):  
Mental Health ◽  
Pregnant Women ◽  
Scoping Review ◽  
Quantitative Research ◽  
Selection Process ◽  
Mental Health Disorders ◽  
Health Condition ◽  
Health Disorders ◽  
Fear And Anxiety ◽  
The Right

Background: Mental health disorders in pregnant women are highly associated with reduced involvement in support, which can lead to pregnant women having to stay home or be isolated during the COVID-19 epidemic. Here, mental health disorders are including depression, fear, and anxiety. This disorder actually had existed before the pandemic and increased when the WHO announced the COVID-19. Purpose: This study aims to analyze the mental health condition of pregnant women during the COVID-19 pandemic. Methods: In the preparation of this scoping review, three databases are used, namely PubMed, Wiley, and Google Scholar. These databases were used to find the articles. The articles were considered relevant if they could answer some research questions of scoping review by using article search with specific keywords. Some relevant articles were selected by setting inclusion and exclusion criteria. Following that, Prism Flow Chart was used in the selection process to find the right article. Critical Appraisal was then performed to assess the quality of each article. Those articles were further summarized by using Data Charting and compiled for analysis based on the available evidence-based aspect. The last step was reporting the results. Results: In this study, the results obtained were 8 selected articles. A total of 7 articles fall into the grade A category, consisting of 2 articles of non-randomized quantitative research design, 4 descriptive quantitative articles, and 1 qualitative article. 1 article is classified in grade B on descriptive quantitative study design. There are no research articles categorized as grade C. Conclusion: Significantly increased clinical problems related to the mental health of pregnant women during the COVID-19 pandemic are including anxiety, fear, and depressive symptoms. Compared to the pre-pandemic situation, the increase is caused by several factors such as pandemic-related stresses arising from related social restrictions, personal health and the safety of the baby during pregnancy, and the health of family members.

scholarly journals Early intervention services for non-psychotic mental health disorders: a scoping review protocol

BMJ Open ◽  
2019 ◽  
Vol 9 (12) ◽  
pp. e033656 ◽  
Author(s):  
Katie Richards ◽  
Amelia Austin ◽  
Karina Allen ◽  
Ulrike Schmidt
Keyword(s):  
Mental Health ◽  
Early Intervention ◽  
Scoping Review ◽  
Mental Health Disorders ◽  
Mental Health Disorder ◽  
Publication Type ◽  
Early Intervention Services ◽  
Scoping Reviews ◽  
Health Disorders ◽  
Intervention Services

IntroductionWorldwide mental health disorders are associated with a considerable amount of human suffering, disability and mortality. Yet, the provision of rapid evidence-based care to mitigate the human and economic costs of these disorders is limited. The greatest progress in developing and delivering early intervention services has occurred within psychosis. There is now growing support for and calls to extend such approaches to other diagnostic groups. The aim of this scoping review is to systematically map the emerging literature on early intervention services for non-psychotic mental health disorders, with a focus on outlining how services are structured, implemented and scaled.Methods and analysisThe protocol was developed using the guidance for scoping reviews in the Joanna Briggs Institute manual and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping reviews checklist. A systematic search for published and unpublished literature will be conducted using the following databases: (1) MEDLINE, (2) PsycINFO, (3) HMIC, (4) EMBASE and (5) ProQuest. To be included, documents must describe and/or evaluate an early intervention service for adolescents or adults with a non-psychotic mental health disorder. There will be no restrictions on publication type, study design and date. Title and abstract, and full-text screening will be completed by one reviewer, with a proportion of articles screened in duplicate. Data analysis will primarily involve a qualitatively summary of the early intervention literature, the characteristics of early intervention services and key findings relating to their evaluation and implementation.Ethics and disseminationThe synthesis of published and unpublished articles will not require ethical approval. The results of this scoping review will be published in a peer-reviewed journal and disseminated via social media, conference presentations and other knowledge translation activities.

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