scholarly journals An Iterative and Collaborative End-to-End Methodology Applied to Digital Mental Health

2021 ◽  
Vol 12 ◽  
Author(s):  
Laura Joy Boulos ◽  
Alexandre Mendes ◽  
Alexandra Delmas ◽  
Ikram Chraibi Kaadoud
Keyword(s):  
Mental Health ◽  
Data Storage ◽  
Health Sector ◽  
Digital Technologies ◽  
Mental Health Research ◽  
Ethical Challenges ◽  
Psychiatric Illnesses ◽  
Global Pandemic ◽  
Health Studies ◽  
End To End

Artificial intelligence (AI) algorithms together with advances in data storage have recently made it possible to better characterize, predict, prevent, and treat a range of psychiatric illnesses. Amid the rapidly growing number of biological devices and the exponential accumulation of data in the mental health sector, the upcoming years are facing a need to homogenize research and development processes in academia as well as in the private sector and to centralize data into federalizing platforms. This has become even more important in light of the current global pandemic. Here, we propose an end-to-end methodology that optimizes and homogenizes digital research processes. Each step of the process is elaborated from project conception to knowledge extraction, with a focus on data analysis. The methodology is based on iterative processes, thus allowing an adaptation to the rate at which digital technologies evolve. The methodology also advocates for interdisciplinary (from mathematics to psychology) and intersectoral (from academia to the industry) collaborations to merge the gap between fundamental and applied research. We also pinpoint the ethical challenges and technical and human biases (from data recorded to the end user) associated with digital mental health. In conclusion, our work provides guidelines for upcoming digital mental health studies, which will accompany the translation of fundamental mental health research to digital technologies.

scholarly journals Big data in mental health research – do the ns justify the means? Using large data-sets of electronic health records for mental health research

2017 ◽  
Vol 41 (3) ◽  
pp. 129-132 ◽  
Author(s):  
Peter Schofield
Keyword(s):  
Mental Health ◽  
Big Data ◽  
Data Storage ◽  
Health Research ◽  
Large Data ◽  
Population Data ◽  
Mental Health Research ◽  
Multiple Time ◽  
Short Account ◽  
Electronic Health

SummaryAdvances in information technology and data storage, so-called ‘big data’, have the potential to dramatically change the way we do research. We are presented with the possibility of whole-population data, collected over multiple time points and including detailed demographic information usually only available in expensive and labour-intensive surveys, but at a fraction of the cost and effort. Typically, accounts highlight the sheer volume of data available in terms of terabytes (1012) and petabytes (1015) of data while charting the exponential growth in computing power we can use to make sense of this. Presented with resources of such dizzying magnitude it is easy to lose sight of the potential limitations when the amount of data itself appears unlimited. In this short account I look at some recent advances in electronic health data that are relevant for mental health research while highlighting some of the potential pitfalls.

Ethical Challenges in Conducting Psychiatric or Mental Health Research in Correctional Settings

2011 ◽  
Vol 2 (4) ◽  
pp. 42-51 ◽  
Author(s):  
Gloria D. Eldridge ◽  
Mark E. Johnson ◽  
Christiane Brems ◽  
Staci L. Corey
Keyword(s):  
Mental Health ◽  
Health Research ◽  
Mental Health Research ◽  
Ethical Challenges ◽  
Correctional Settings

scholarly journals Adolescent Brain Cognitive Development (ABCD) Community MRI Collection and Utilities

2021 ◽  
Author(s):  
Eric Feczko ◽  
Greg Conan ◽  
Scott Marek ◽  
Brenden Tervo-Clemens ◽  
Michaela Cordova ◽  
...  
Keyword(s):  
Mental Health ◽  
Cognitive Development ◽  
Data Storage ◽  
Data Privacy ◽  
Scientific Progress ◽  
Open Science ◽  
Population Based ◽  
Mental Health Research ◽  
Data Set ◽  
Neuroimaging Data

The Adolescent Brain Cognitive Development Study (ABCD), a 10 year longitudinal neuroimaging study of the largest population based and demographically distributed cohort of 9-10 year olds (N=11,877), was designed to overcome reproducibility limitations of prior child mental health studies. Besides the fantastic wealth of research opportunities, the extremely large size of the ABCD data set also creates enormous data storage, processing, and analysis challenges for researchers. To ensure data privacy and safety, researchers are not currently able to share neuroimaging data derivatives through the central repository at the National Data Archive (NDA). However, sharing derived data amongst researchers laterally can powerfully accelerate scientific progress, to ensure the maximum public benefit is derived from the ABCD study. To simultaneously promote collaboration and data safety, we developed the ABCD-BIDS Community Collection (ABCC), which includes both curated processed data and software utilities for further analyses. The ABCC also enables researchers to upload their own custom-processed versions of ABCD data and derivatives for sharing with the research community. This NeuroResource is meant to serve as the companion guide for the ABCC. In section we describe the ABCC. Section II highlights ABCC utilities that help researchers access, share, and analyze ABCD data, while section III provides two exemplar reproducibility analyses using ABCC utilities. We hope that adoption of the ABCC's data-safe, open-science framework will boost access and reproducibility, thus facilitating progress in child and adolescent mental health research.

scholarly journals The global impact on mental health almost 2 years into the COVID-19 pandemic

2021 ◽  
Vol 38 (4) ◽  
pp. 243-246
Author(s):  
Blanaid Gavin ◽  
John Lyne ◽  
Fiona McNicholas
Keyword(s):  
Mental Health ◽  
Health Research ◽  
Mental Healthcare ◽  
Mental Health Research ◽  
Health Needs ◽  
Mental Health Needs ◽  
Global Impact ◽  
Global Pandemic ◽  
Population Mental Health ◽  
Global Population

AbstractApproaching 2 years into a global pandemic, it is timely to reflect on how COVID-19 has impacted the mental health of the global population. With research continuing apace, a clearer picture should crystallise in time. COVID-19 has undoubtedly had some impact on population mental health, although the severity and duration of this impact remain less clear. The exceptional period of COVID-19 has provided a unique prism through which we can observe and consider societal mental health. This is a momentous time to be involved in mental health research as we strive to understand the mental health needs of the population and advocate for adequate resourcing to deliver quality mental healthcare in the post-pandemic period.

scholarly journals Managing Ethical Challenges to Mental Health Research in Post-Conflict Settings

2015 ◽  
Vol 16 (1) ◽  
pp. 15-28 ◽  
Author(s):  
Anna Chiumento ◽  
Muhammad Naseem Khan ◽  
Atif Rahman ◽  
Lucy Frith
Keyword(s):  
Mental Health ◽  
Health Research ◽  
Mental Health Research ◽  
Ethical Challenges ◽  
Post Conflict ◽  
Conflict Settings

scholarly journals Ethical challenges in Research, Industry and People Partnerships in mental health

2020 ◽  
Author(s):  
Sapfo Lignou ◽  
John Geddes ◽  
Ilina Singh
Keyword(s):  
Mental Health ◽  
Health Research ◽  
Mental Health Research ◽  
Social Changes ◽  
Ethical Challenges ◽  
Research Partnerships ◽  
Public Companies ◽  
Ethical Problems ◽  
Research Collaborations ◽  
Industry Research

Advancements in mental health research, social changes and policy developments have led to the emergence of new forms of research partnerships, which bring together research institutions, public companies and lay people as partners in the same research project. In this paper, we argue that partnerships comprised of industry, academia and people with experience of mental illness may present practical and ethical challenges that affect the conduct of research and undermine public trust in research collaborations. We outline a number of ethical problems from the motivation to combine competing interests and values of these diverse research partners. We argue that while critical perspectives on each of the partnership forms outlined above exist in the literature, the combination of industry, research and PPI actors in partnership in mental health research has not received sufficient scrutiny. We suggest that a robust ethical approach is needed to properly substantiate the value of such research partnerships, to inform practical and ethical guidance on potential conflicts and to facilitate productive collaborative research.

scholarly journals Use of Community-Based Participatory Research in Mental Health Studies With Older Adults: A Systematic Review

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 505-506
Author(s):  
Jessie Ho-Yin Yau ◽  
Walker Siu Hong Au ◽  
Tianyin Liu ◽  
Anna Y Zhang ◽  
Gloria H Y Wong ◽  
...  
Keyword(s):  
Mental Health ◽  
Systematic Review ◽  
Older Adults ◽  
Participatory Research ◽  
Health Research ◽  
Community Based Participatory Research ◽  
Mental Health Research ◽  
Successful Implementation ◽  
Community Based ◽  
Health Studies

Abstract Community-based participatory research (CBPR), a bottom-up approach that community stakeholders and academics are involved equitably, is an effective approach for enhancing relevance and value in public health research and has gained popularity in recent decades. However, little is known about how CBPR can be used in mental health studies with older adults. This systematic review examined the current state of knowledge about how CBPR approach has been adopted in mental health research among older adults in different societies. According to the PRISMA guidelines, we searched five major databases and screened the literature using these criteria: 1) journal articles reporting use of CBPR in mental health research among older adults, 2) articles published in English language, 3) studies conducted in any settings with any mental health research. Initial search found 3,227 articles and preliminary screening identified 23 eligible articles. We found that around 90% of studies were conducted in the West. Most studies adopted CBPR to develop community-based mental health interventions or to revise current interventions or models while addressing the cultural needs of their studied population. Few studies adopted CBPR to evaluate existing mental health workshops or programmes. The extent of involvement of older adults in the CBPR approach varied across studies, from questionnaire design to programme evaluation. Our review uncovered ways of CBPR implementation across different societies and elements of successful implementation in CBPR practices in mental health research among older adults.

scholarly journals Towards a Personalized Multi-Domain Digital Neurophenotyping Model for the Detection and Treatment of Mood Trajectories

Sensors ◽  
2020 ◽  
Vol 20 (20) ◽  
pp. 5781
Author(s):  
Yaron Sela ◽  
Lorena Santamaria ◽  
Yair Amichai-Hamburge ◽  
Victoria Leong
Keyword(s):  
Mental Health ◽  
Mobile Apps ◽  
Real Life ◽  
Sensor Arrays ◽  
Holistic Approach ◽  
Mental Health Research ◽  
Affective Processing ◽  
Great Promise ◽  
Ethical Challenges ◽  
Wide Range

The commercial availability of many real-life smart sensors, wearables, and mobile apps provides a valuable source of information about a wide range of human behavioral, physiological, and social markers that can be used to infer the user’s mental state and mood. However, there are currently no commercial digital products that integrate these psychosocial metrics with the real-time measurement of neural activity. In particular, electroencephalography (EEG) is a well-validated and highly sensitive neuroimaging method that yields robust markers of mood and affective processing, and has been widely used in mental health research for decades. The integration of wearable neuro-sensors into existing multimodal sensor arrays could hold great promise for deep digital neurophenotyping in the detection and personalized treatment of mood disorders. In this paper, we propose a multi-domain digital neurophenotyping model based on the socioecological model of health. The proposed model presents a holistic approach to digital mental health, leveraging recent neuroscientific advances, and could deliver highly personalized diagnoses and treatments. The technological and ethical challenges of this model are discussed.

Discussant: Ethical challenges

2016 ◽  
Vol 33 (S1) ◽  
pp. S36-S36
Author(s):  
M. Kastrup
Keyword(s):  
Mental Health ◽  
Health Services ◽  
Adverse Effects ◽  
Ethical Issues ◽  
Health Sector ◽  
Economic Policies ◽  
Ethical Challenges ◽  
Health Security ◽  
Economic Changes ◽  
The Impact

Europe has undergone considerable economic changes that have an impact on mental health of its citizens; have consequences for the organization of mental health services; and raise ethical issues, such as the distribution of wealth, and equity in access to care. Furthermore, Europe is current undergoing serious economic problems that will produce adverse effects on the mental health of its citizens, among them increase in substance abuse related disorders as well as an increase in suicide.The consequences that economic changes have on mental health relate to the conditions of the particular country, as countries with better health security nets would be less likely to experience adverse effects. Different policy measures may reduce the impact on mental health not only within the health sector, but other sectors of society have to be engaged in the process.The symposium will consider these problems from different selected perspectives.An overview of the impact of economic policies on health services will be followed by a presentation of the important role of international organizations like EPA in outlining the problem and finally a presentation of the initiative Choosing Wisely that focuses on communication between health professionals and patients with recommendations of decisions about the most appropriate care based on the patient's individual situation.Disclosure of interestThe author has not supplied his declaration of competing interest.

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