scholarly journals Patient Innovation in Investigating the Effects of Environmental Pollution in Schizophrenia: Case Report of Digital Phenotyping Beyond Apps

10.2196/19778 ◽  
2020 ◽  
Vol 7 (8) ◽  
pp. e19778
Author(s):  
Aditya Vaidyam ◽  
Spencer Roux ◽  
John Torous
Keyword(s):  
Mental Health ◽  
Lived Experiences ◽  
Digital Health ◽  
Health Technology ◽  
Health Apps ◽  
Digital Phenotyping ◽  
Data Scientist ◽  
The Individual ◽  
Schizophrenia Case

This patient perspective highlights the role of patients in the innovation and codesign of digital mental health technology. Though digital mental health apps have evolved and become highly functional, many still act as data collection silos without adequate support for patients to understand and investigate potentially meaningful inferences in their own data. Few digital health platforms respect the patient’s agency and curiosity, allowing the individual to wear the hat of researcher and data scientist and share their experiences and insight with their clinicians. This case is cowritten with an individual with lived experiences of schizophrenia who has decided to openly share their name and experiences to share with others the methods and results of their curiosity and encourage and inspire others to follow their curiosity as well.

scholarly journals Patient Innovation in Investigating the Effects of Environmental Pollution in Schizophrenia: Case Report of Digital Phenotyping Beyond Apps (Preprint)

2020 ◽  
Author(s):  
Aditya Vaidyam ◽  
Spencer Roux ◽  
John Torous
Keyword(s):  
Mental Health ◽  
Lived Experiences ◽  
Digital Health ◽  
Health Technology ◽  
Health Apps ◽  
Digital Phenotyping ◽  
Data Scientist ◽  
The Individual ◽  
Schizophrenia Case

UNSTRUCTURED This patient perspective highlights the role of patients in the innovation and codesign of digital mental health technology. Though digital mental health apps have evolved and become highly functional, many still act as data collection silos without adequate support for patients to understand and investigate potentially meaningful inferences in their own data. Few digital health platforms respect the patient’s agency and curiosity, allowing the individual to wear the hat of researcher and data scientist and share their experiences and insight with their clinicians. This case is cowritten with an individual with lived experiences of schizophrenia who has decided to openly share their name and experiences to share with others the methods and results of their curiosity and encourage and inspire others to follow their curiosity as well.

scholarly journals Surveying the Role of Analytics in Evaluating Digital Mental Health Interventions for Transition-Aged Youth: Scoping Review (Preprint)

2019 ◽  
Author(s):  
Brian Lo ◽  
Jenny Shi ◽  
Elisa Hollenberg ◽  
Alexxa Abi-Jaoudé ◽  
Andrew Johnson ◽  
...  
Keyword(s):  
Mental Health ◽  
Scoping Review ◽  
Care Delivery ◽  
Digital Health ◽  
Controlled Trial ◽  
Health Interventions ◽  
Health Apps ◽  
Mental Health Interventions ◽  
Usage Data

BACKGROUND Consumer-facing digital health interventions provide a promising avenue to bridge gaps in mental health care delivery. To evaluate these interventions, understanding how the target population uses a solution is critical to the overall validity and reliability of the evaluation. As a result, usage data (analytics) can provide a proxy for evaluating the engagement of a solution. However, there is paucity of guidance on how usage data or analytics should be used to assess and evaluate digital mental health interventions. OBJECTIVE This review aimed to examine how usage data are collected and analyzed in evaluations of mental health mobile apps for transition-aged youth (15-29 years). METHODS A scoping review was conducted using the Arksey and O’Malley framework. A systematic search was conducted on 5 journal databases using keywords related to usage and engagement, mental health apps, and evaluation. A total of 1784 papers from 2008 to 2019 were identified and screened to ensure that they included analytics and evaluated a mental health app for transition-aged youth. After full-text screening, 49 papers were included in the analysis. RESULTS Of the 49 papers included in the analysis, 40 unique digital mental health innovations were evaluated, and about 80% (39/49) of the papers were published over the past 6 years. About 80% involved a randomized controlled trial and evaluated apps with information delivery features. There were heterogeneous findings in the concept that analytics was ascribed to, with the top 3 being engagement, adherence, and acceptability. There was also a significant spread in the number of metrics collected by each study, with 35% (17/49) of the papers collecting only 1 metric and 29% (14/49) collecting 4 or more analytic metrics. The number of modules completed, the session duration, and the number of log ins were the most common usage metrics collected. CONCLUSIONS This review of current literature identified significant variability and heterogeneity in using analytics to evaluate digital mental health interventions for transition-aged youth. The large proportion of publications from the last 6 years suggests that user analytics is increasingly being integrated into the evaluation of these apps. Numerous gaps related to selecting appropriate and relevant metrics and defining successful or high levels of engagement have been identified for future exploration. Although long-term use or adoption is an important precursor to realizing the expected benefits of an app, few studies have examined this issue. Researchers would benefit from clarification and guidance on how to measure and analyze app usage in terms of evaluating digital mental health interventions for transition-aged youth. Given the established role of adoption in the success of health information technologies, understanding how to abstract and analyze user adoption for consumer digital mental health apps is also an emerging priority.

Understanding Decision Making in the Adoption of Digital Health Technology: The Role of Behavioural Economics’ Prospect Theory (Preprint)

2021 ◽  
Author(s):  
Waqas Ullah Khan ◽  
Aviv Shachak ◽  
Emily Seto
Keyword(s):  
Decision Making ◽  
Prospect Theory ◽  
Digital Health ◽  
Health Technology ◽  
Behavioural Economics ◽  
Individual Level ◽  
Health Technologies ◽  
Research Article ◽  
The Individual

UNSTRUCTURED The decision to accept or reject new digital health technologies remains an ongoing discussion. Over the past few decades, interest in understanding the choice to adopt technology has led to the development of numerous theories and models. In 1979, however, psychologists Kahneman and Tversky published their seminal research article that has pioneered the field of behavioural economics. They named their model the “prospect theory” and used it to explain decision making behaviours under conditions of risk and uncertainty as well as to provide an understanding of why individuals may make irrational or inconsistent decisions. Although the prospect theory has been used to explain decision making in economics, law, political science, and clinically at the individual level, its application to understanding choice in the adoption of digital health technology has not been explored.

scholarly journals Surveying the Role of Analytics in Evaluating Digital Mental Health Interventions for Transition-Aged Youth: Scoping Review

10.2196/15942 ◽  
2020 ◽  
Vol 7 (6) ◽  
pp. e15942
Author(s):  
Brian Lo ◽  
Jenny Shi ◽  
Elisa Hollenberg ◽  
Alexxa Abi-Jaoudé ◽  
Andrew Johnson ◽  
...  
Keyword(s):  
Mental Health ◽  
Scoping Review ◽  
Care Delivery ◽  
Digital Health ◽  
Controlled Trial ◽  
Health Interventions ◽  
Health Apps ◽  
Mental Health Interventions ◽  
Usage Data

Background Consumer-facing digital health interventions provide a promising avenue to bridge gaps in mental health care delivery. To evaluate these interventions, understanding how the target population uses a solution is critical to the overall validity and reliability of the evaluation. As a result, usage data (analytics) can provide a proxy for evaluating the engagement of a solution. However, there is paucity of guidance on how usage data or analytics should be used to assess and evaluate digital mental health interventions. Objective This review aimed to examine how usage data are collected and analyzed in evaluations of mental health mobile apps for transition-aged youth (15-29 years). Methods A scoping review was conducted using the Arksey and O’Malley framework. A systematic search was conducted on 5 journal databases using keywords related to usage and engagement, mental health apps, and evaluation. A total of 1784 papers from 2008 to 2019 were identified and screened to ensure that they included analytics and evaluated a mental health app for transition-aged youth. After full-text screening, 49 papers were included in the analysis. Results Of the 49 papers included in the analysis, 40 unique digital mental health innovations were evaluated, and about 80% (39/49) of the papers were published over the past 6 years. About 80% involved a randomized controlled trial and evaluated apps with information delivery features. There were heterogeneous findings in the concept that analytics was ascribed to, with the top 3 being engagement, adherence, and acceptability. There was also a significant spread in the number of metrics collected by each study, with 35% (17/49) of the papers collecting only 1 metric and 29% (14/49) collecting 4 or more analytic metrics. The number of modules completed, the session duration, and the number of log ins were the most common usage metrics collected. Conclusions This review of current literature identified significant variability and heterogeneity in using analytics to evaluate digital mental health interventions for transition-aged youth. The large proportion of publications from the last 6 years suggests that user analytics is increasingly being integrated into the evaluation of these apps. Numerous gaps related to selecting appropriate and relevant metrics and defining successful or high levels of engagement have been identified for future exploration. Although long-term use or adoption is an important precursor to realizing the expected benefits of an app, few studies have examined this issue. Researchers would benefit from clarification and guidance on how to measure and analyze app usage in terms of evaluating digital mental health interventions for transition-aged youth. Given the established role of adoption in the success of health information technologies, understanding how to abstract and analyze user adoption for consumer digital mental health apps is also an emerging priority.

Digitization of healthcare post COVID-19: Reimagining the role of health education and promotion

2021 ◽  
Vol 13 (2) ◽  
pp. 303-310 ◽  
Author(s):  
Chinwe Obuaku-Igwe
Keyword(s):  
Health Promotion ◽  
Digital Health ◽  
Health Technology ◽  
Health Attitudes ◽  
Health Seeking ◽  
Future Directions ◽  
Health Apps ◽  
Risk Of Mortality ◽  
Technological Platforms

The digitization of health promotion and communication has become a major discourse in healthcare. This paper synthesizes my understanding of the role of health literacy, promotion, education and communication in ensuring effective digitization of healthcare and presents four key findings from a mental health promotion project. First, the pandemic has shown us more than ever how fragile we all are – health-seeking behaviour will increasingly take centre stage over the next decade. Second, why do people refuse to wear masks even though it increases the risk of mortality? Why are individuals not motivated to exercise despite downloading free health apps? Why do people keep eating unhealthy food even when they can afford healthier options? Why? The numbers cannot tell the whole story. Similarly, the proliferation of digital health technology cannot convince people to modify their behaviours nor promote meaningful use of e/m-health apps. Third, deliberate digital health promotion and communication is needed to leverage opportunities in health technology. Fourth, the world needs researchers and experts who understand the broader determinants of health attitudes and are knowledgeable in synthesizing valid health information across various technological platforms, in support of health system needs. I address the implications of my findings and discuss future directions for policy and practitioners.

Understanding Decision Making in the Adoption of Digital Health Technology: The Role of Behavioural Economics’ Prospect Theory (Preprint)

2021 ◽  
Author(s):  
Waqas Ullah Khan ◽  
Aviv Shachak ◽  
Emily Seto
Keyword(s):  
Decision Making ◽  
Prospect Theory ◽  
Digital Health ◽  
Health Technology ◽  
Behavioural Economics ◽  
Valuable Insight ◽  
Individual Level ◽  
Health Technologies ◽  
The Individual

UNSTRUCTURED The decision to accept or reject new digital health technologies remains an ongoing discussion. Over the past few decades, interest in understanding the choice to adopt technology has led to the development of numerous theories and models. In 1979, however, psychologists Kahneman and Tversky published their seminal research article that has pioneered the field of behavioural economics. They named their model the “prospect theory” and used it to explain decision making behaviours under conditions of risk and uncertainty as well as to provide an understanding of why individuals may make irrational or inconsistent decisions. Although the prospect theory has been used to explain decision making in economics, law, political science, and clinically at the individual level, its application to understanding choice in the adoption of digital health technology has not been explored. Herein, we discuss how the prospect theory can provide valuable insight on why healthcare patients/clients, technology companies, and policymakers may decide to accept or reject digital health technologies.

The Evolution of the Role of U.S. School Nurses in Adolescent Mental Health at the Individual, Community, and Systems Level: An Integrative Review

2022 ◽  
pp. 105984052110681
Author(s):  
Ashwini R. Hoskote ◽  
Emily Croce ◽  
Karen E. Johnson
Keyword(s):  
Mental Health ◽  
Adolescent Mental Health ◽  
School Nurse ◽  
School Nurses ◽  
Integrative Review ◽  
School Nursing ◽  
Individual Level ◽  
The Individual ◽  
The Impact

School nurses are crucial to addressing adolescent mental health, yet evidence concerning their evolving role has not been synthesized to understand interventions across levels of practice (i.e., individual, community, systems). We conducted an integrative review of school nurse roles in mental health in the U.S. related to depressive symptoms, anxiety, and stress. Only 18 articles were identified, published from 1970 to 2019, and primarily described school nurses practicing interventions at the individual level, yet it was unclear whether they were always evidence-based. Although mental health concerns have increased over the years, the dearth of rigorous studies made it difficult to determine the impact of school nurse interventions on student mental health outcomes and school nurses continue to feel unprepared and under supported in this area. More research is needed to establish best practices and systems to support school nursing practice in addressing mental health at all levels of practice.

scholarly journals The Acceptability and Usability of Digital Health Interventions for Adults With Depression, Anxiety, and Somatoform Disorders: Qualitative Systematic Review and Meta-Synthesis

10.2196/16228 ◽  
2020 ◽  
Vol 22 (7) ◽  
pp. e16228 ◽  
Author(s):  
Shireen Patel ◽  
Athfah Akhtar ◽  
Sam Malins ◽  
Nicola Wright ◽  
Emma Rowley ◽  
...  
Keyword(s):  
Mental Health ◽  
Systematic Review ◽  
Somatoform Disorders ◽  
Digital Health ◽  
Health Interventions ◽  
Health Conditions ◽  
Future Research ◽  
World Population ◽  
Personal Support ◽  
The Individual

Background The prevalence of mental health disorders continues to rise, with almost 4% of the world population having an anxiety disorder and almost 3.5% having depression in 2017. Despite the high prevalence, only one-third of people with depression or anxiety receive treatment. Over the last decade, the use of digital health interventions (DHIs) has risen rapidly as a means of accessing mental health care and continues to increase. Although there is evidence supporting the effectiveness of DHIs for the treatment of mental health conditions, little is known about what aspects are valued by users and how they might be improved. Objective This systematic review aimed to identify, appraise, and synthesize the qualitative literature available on service users’ views and experiences regarding the acceptability and usability of DHIs for depression, anxiety, and somatoform disorders. Methods A systematic search strategy was developed, and searches were run in 7 electronic databases. Qualitative and mixed methods studies published in English were included. A meta-synthesis was used to interpret and synthesize the findings from the included studies. Results A total of 24 studies were included in the meta-synthesis, and 3 key themes emerged with descriptive subthemes. The 3 key themes were initial motivations and approaches to DHIs, personalization of treatment, and the value of receiving personal support in DHIs. The meta-synthesis suggests that participants’ initial beliefs about DHIs can have an important effect on their engagement with these types of interventions. Personal support was valued very highly as a major component of the success of DHIs. The main reason for this was the way it enabled individual personalization of care. Conclusions Findings from the systematic review have implications for the design of future DHIs to improve uptake, retention, and outcomes in DHIs for depression, anxiety, and somatoform disorders. DHIs need to be personalized to the specific needs of the individual. Future research should explore whether the findings could be generalized to other health conditions.

scholarly journals Effects of Happiness on Mental Health

2015 ◽  
Vol 2 (3) ◽  
Author(s):  
Dr. Gopal Chandra Mahakud ◽  
Ritika Yadav
Keyword(s):  
Mental Health ◽  
Mental Disorders ◽  
Social Situation ◽  
Psychological Problem ◽  
Health Conditions ◽  
Positive Attitudes ◽  
Psychic Disorders ◽  
As Stress ◽  
The Individual

The concept of mental health comprised to the health conditions of people without suffering any mental or psychological problem such as stress, depression, anxiety and other form of psychic disorders. In this regard it can be said that no one is free from and psychological, psycho-physical and psycho-social disorders from which we can derive that no one mentally healthy. But the concept of mental health defined free from the disorders those are prolonged and panic in nature. As the concept of mental health is subjective in nature, it varies from person to person. Besides free from the disorders, a person should pose some of the other positive characteristics to deal with the society effectively. Marry (1958) stated that, a person can be considered mentally healthy with the following characteristics such as (a) Positive attitudes toward himself/herself; (b) Realization of own potentialities through action; (c); Unification of in personality; (d) Degree of independence of social influences; (e) observations of the world around; and (f) Positive adapts to everyday life. Briefly, it can be said that positive mental health of the person make able to an individual to stand on his own two feet without making undue demands or impositions of others. In this regard the role of happiness in day to day life can make the individual more skilled to fight with different mental disorders. The present article is intended to find out the effects of happiness in day to day life in a social situation to deal with different mental disorders to make the individual mentally healthy and prosperous in life.

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