Biometrics based Mobile Reminder for Mental Health Disorders

2017 ◽  
Vol 2 (4) ◽  
Keyword(s):  
Mental Health ◽  
Heart Rate ◽  
Mobile Application ◽  
Memory Loss ◽  
Mental Health Disorders ◽  
Mobile Technologies ◽  
Health Conditions ◽  
Cognitive Disability ◽  
Mental Health Conditions ◽  
Health Disorders

Assistive mobile technologies are highly demanded in order to reduce care givers effort with low cost/free programs. In this context, and due to the aging/ mental health disorders, memory loss and the change in the interaction between cognitive disability and mental health conditions, using mobile mental health assistive applications would improve the employees’ performance. Hence, assistive mobile technology can be used to support people with mental health conditions to stay in their jobs and improve their productivity, in addition to assist remembering daily activities, order and organize them according to place and emotions. Emotion detection based mobile technologies are recently considered a revolution in building assistive mobile applications. This article introduces a Bio-reminder mobile application that will remind the person with his/her tasks based on matching with their biometrics associated with the given task. Biometrics includes heart rate monitoring measured by biosensors. In this paper, the proposed mobile application uses Fitbit to measure heart rate, calories burned in addition to GPS to report the location

scholarly journals Accuracy of a Community Mental Health Education and Detection (CMED) Tool for Common Mental Disorders in KwaZulu-Natal, South Africa.

2021 ◽  
Author(s):  
Merridy Grant ◽  
Inge Petersen ◽  
Londiwe Mthethwa ◽  
Zamasomi P.B. Luvuno ◽  
Arvin Bhana
Keyword(s):  
Mental Health ◽  
Health Education ◽  
Community Mental Health ◽  
Health Services ◽  
Health Problem ◽  
Screening Tool ◽  
Mental Health Disorders ◽  
Health Conditions ◽  
Mental Health Conditions ◽  
Health Disorders

Abstract Background: Screening tools for mental health disorders improve detection at a primary health care (PHC) level. However, many people with mental health conditions do not seek care because of a lack of knowledge about mental health, stigma about mental illness and a lack of awareness of mental health services available at a PHC facility level. Interventions at a community level that raise awareness about mental health and improve detection of mental health conditions, are thus important in increasing demand and optimising the supply of available mental health services. This study sought to evaluate the accuracy of a Community Mental Health Education and Detection (CMED) Tool in identifying mental health conditions using pictorial vignettes. Methods: Community Health Workers (CHWs) administered the CMED tool to 198 participants on routine visits to households. Consenting family members provided basic biographical information prior to the administration of the tool. To determine the accuracy of the CMED in identifying individuals in households with possible mental health disorders, we compared the number of individuals identified using the CMED vignettes to the validated Brief Mental Health (BMH) screening tool. Results: The CMED performed at an acceptable level with an area under the curve (AUC) of 0.73 (95% CI 0.67 -0.79), identifying 79% (sensitivity) of participants as having a possible mental health problem and 67% (specificity) of participants as not having a mental health problem. Overall, the CMED positively identified 55.2% of household members relative to 49.5% on the BMH.Conclusion: The CMED is acceptable as a mental health screening tool for use by CHWs at a household level.

scholarly journals The use of eHealth to promote physical activity in people with mental health conditions: a systematic review

2018 ◽  
Vol 1 ◽  
pp. 5 ◽  
Author(s):  
Jonathan Moran ◽  
Grainne Kelly ◽  
Ciarán Haberlin ◽  
David Mockler ◽  
Julie Broderick
Keyword(s):  
Mental Health ◽  
Physical Activity ◽  
Systematic Review ◽  
Mobile Application ◽  
Experimental Studies ◽  
Risk Of Bias ◽  
Mobile Technologies ◽  
Health Conditions ◽  
Web Based ◽  
Mental Health Conditions

Background: Achieving adequate amounts of physical activity (PA) confers important physical and mental health benefits. Despite this, people with mental health conditions often do not meet recommended levels of PA. eHealth, the delivery of health information through internet and mobile technologies, is an emerging concept in healthcare which presents opportunities to improve PA. The aim of this systematic review is to describe the use of eHealth to increase or monitor PA levels in people with mental health conditions. Methods: Databases searched included OVID Medline, EMBASE, PsychInfo and Web of Science using a combination of key-words and medical subject headings. Articles were included if they described an eHealth technology designed to improve or monitor PA in people with mental health conditions. Two reviewers screened articles. Articles included in the qualitative synthesis were screened for risk of bias using the Cochrane Risk of Bias Tool for experimental studies and Downs and Black Checklist for non-experimental studies. Results: Seven studies met the eligibility criteria. A variety of eHealth platforms designed to promote or monitor PA were described in these studies; web-based (n=4), web and mobile application (n=3) and e-mail-based (n=1), one study used both a web-based and mobile application. Three studies reported eHealth interventions significantly increased PA levels, however it is unclear if eHealth interventions are superior at promoting PA compared to conventional interventions. Four studies reported that higher levels of PA, measured using eHealth, were associated with better mental health profiles.  Conclusion: eHealth interventions may be an innovative low-cost method to increase PA levels which may have knock-on effects on mental health outcomes. Although some of the included studies in this review demonstrated promising results, methodological restrictions and potential biases from using subjective measures of PA limit the interpretability of these results. Future research should evaluate this promising technology using well-designed trials.

scholarly journals The use of eHealth to promote physical activity in people with mental health conditions: a systematic review

2018 ◽  
Vol 1 ◽  
pp. 5 ◽  
Author(s):  
Jonathan Moran ◽  
Grainne Kelly ◽  
Ciarán Haberlin ◽  
David Mockler ◽  
Julie Broderick
Keyword(s):  
Mental Health ◽  
Physical Activity ◽  
Systematic Review ◽  
Mobile Application ◽  
Experimental Studies ◽  
Risk Of Bias ◽  
Mobile Technologies ◽  
Health Conditions ◽  
Web Based ◽  
Mental Health Conditions

Background: Achieving adequate amounts of physical activity (PA) confers important physical and mental health benefits. Despite this, people with mental health conditions often do not meet recommended levels of PA. eHealth, the delivery of health information through internet and mobile technologies, is an emerging concept in healthcare which presents opportunities to improve PA. The aim of this systematic review is to describe the use of eHealth to increase or monitor PA levels in people with mental health conditions. Methods: Databases searched included OVID Medline, EMBASE, PsychInfo and Web of Science using a combination of key-words and medical subject headings. Articles were included if they described an eHealth technology designed to improve or monitor PA in people with mental health conditions. Two reviewers screened articles. Articles included in the qualitative synthesis were screened for risk of bias using the Cochrane Risk of Bias Tool for experimental studies and Downs and Black Checklist for non-experimental studies. Results: Seven studies met the eligibility criteria. A variety of eHealth platforms designed to promote or monitor PA were described in these studies; web-based (n=4), web and mobile application (n=3) and e-mail-based (n=1), one study used both a web-based and mobile application. Three studies reported eHealth interventions significantly increased PA levels, however it is unclear if eHealth interventions are superior at promoting PA compared to conventional interventions. Four studies reported that higher levels of PA, measured using eHealth, were associated with better mental health profiles.  Conclusion: eHealth interventions may be an innovative low-cost method to increase PA levels which may have knock-on effects on mental health outcomes. Although some of the included studies in this review demonstrated promising results, methodological restrictions and potential biases from using subjective measures of PA limit the interpretability of these results. Future research should evaluate this promising technology using well-designed trials.

scholarly journals Cover Art

2020 ◽  
Vol 88 (2) ◽  
Author(s):  
Kara Ruicci
Keyword(s):  
Mental Health ◽  
Improve Patient Care ◽  
Mental Health Disorders ◽  
The Body ◽  
Health Conditions ◽  
Emotional Wellbeing ◽  
Mental Health Conditions ◽  
Wide Range ◽  
Health Disorders ◽  
Cover Art

‘Mental Health’ encompasses our cognitive, behavioural and emotional wellbeing; disorders of mental health affect mood, thinking and behaviour. To this day, mental health disorders are feared and stigmatized because these conditions are not overtly visible. The way forward in continuing to dissipate the stigma associated with mental health disorders is to recognize, diagnose and treat these conditions—just as we do for any other ailment of the body. Here, a stethoscope representing medical care is shown surrounding the profile of a human face. Inside, a brain is seen; if you look closely, you will see that its shape is comprised by lines forming a fingerprint. The fingerprint signifies the wide range of mental health conditions and their unique manifestations between individuals. Continued advancements in both research and the clinical management of mental health conditions will improve patient care and help continue to dispel stigma.

scholarly journals Bibliometric Analysis of Interventional Literature on Mobile Health: The Most Highly Cited Articles

2021 ◽  
Vol 10 (1) ◽  
pp. 66
Author(s):  
Arefeh Ameri ◽  
Farzad Salmanizadeh ◽  
Kambiz Bahaadinbeigy
Keyword(s):  
Mental Health ◽  
Treatment Adherence ◽  
Mobile Health ◽  
Text Messaging ◽  
Mental Health Disorders ◽  
Mobile Technologies ◽  
Health Disorders ◽  
Number Of Citations ◽  
Highly Cited Articles ◽  
Highly Cited

Introduction: Advances in mobile health have led to numerous relevant studies in diagnosis, treatment, and controlling of various diseases. One of the criteria indicating the quality of the previously published studies is the number of citations. Therefore, investigating the features of highly cited articles and identifying the most frequently used mobile technological interventions can affect future research ideas. This study aimed at identifying 100 highly cited interventional studies on mobile health, type of used mobile technologies, and effect of these technologies in various diseases in top-cited articles.Methods: The database employed in this study was the Web of Science, which without limitations was analysed in April 2020 to identify 100 highly cited interventional studies in the field of mobile health. The identified studies were classified based on the number of citations, year of publication, country of the first author, type of disease, and use of mobile technology.Results: A great majority of the studies in the field of interventional mobile health focused on obesity (n=18), addiction (n=15), diabetes (n=13) and mental health disorders (n=12), respectively. Many studies employed mobile technologies to promote lifestyle (weight loss and increased physical activity) (n=20), disease controls (n=20), and treatment adherence (n=18). The mean number of citations per study was 146±97. The most cited study was in the category of viral disease treatment adherence (n=703), and the most cited articles were published in 2012.Conclusions: Among the reviewed 100 studies, many of the interventional studies regarding mobile health focused on obesity, addiction, diabetes and mental health disorders. Promotion of lifestyle, disease controls, and treatment adherence were effects of mobile technologies in top-cited articles. Text messaging service was used as intervention in most of the studies. Thus, future studies may focus on the use of various mobile applications on different diseases’ prevention, control, and treatment.

Therapist with PNES, USA

2020 ◽  
pp. 282-286
Author(s):  
Markus Reuber ◽  
Gregg H. Rawlings ◽  
Steven C. Schachter
Keyword(s):  
Mental Health ◽  
Private Practice ◽  
Epileptic Seizures ◽  
Mental Health Disorders ◽  
Health Conditions ◽  
Post Traumatic Stress ◽  
The World ◽  
Post Traumatic ◽  
Health Disorders ◽  
Anxiety Depression

This chapter examines the personal experience of a Therapist with Psychogenic Non-Epileptic Seizures (PNES). As a Therapist in private practice, the Therapist strongly believed that to end the stigma of mental health conditions, she needed to own her own mental health disorders. The Therapist could not sit across from her clients every day and tell them not to be ashamed of their debilitating Anxiety, Depression, or Post-Traumatic Stress Disorder (PTSD) and yet hide her own mental illness from the world. As such, the therapist spoke openly on social media about mental health and her own journey, and the Therapist shared positive messages about the disorders she treated—that is, until the therapist’s own experience crossed over from the garden variety “Anxiety and Depression” that she saw every day into a much less widely known disorder, PNES. Then, the Therapist became less of a Therapist and more of a patient, trying to maintain some sort of sanity and perspective afforded to her from her years of training as a therapist.

scholarly journals Post-9/11 Mental Health Comorbidity Predicts Self-Reported Confusion or Memory Loss in World Trade Center Health Registry Enrollees

2020 ◽  
Vol 17 (19) ◽  
pp. 7330
Author(s):  
Howard E. Alper ◽  
Rifat A. Tuly ◽  
Kacie Seil ◽  
Jennifer Brite
Keyword(s):  
Mental Health ◽  
World Trade ◽  
World Trade Center ◽  
Memory Loss ◽  
Health Conditions ◽  
Mental Health Conditions ◽  
Binomial Regression ◽  
Trade Center ◽  
Health Registry ◽  
World Trade Center Attacks

Numerous studies report elevated levels of chronic mental health conditions in those exposed to the World Trade Center attacks of 11 September 2001 (9/11), but few studies have examined the incidence of confusion or memory loss (CML) or its association with mental health in 9/11 attack survivors. We investigated the incidence of CML and its association with the number of post-9/11 mental health conditions (PTSD, depression, and anxiety) in 10,766 World Trade Center Health Registry (Registry) enrollees aged 35–64 at the time of the wave 4 survey (2015–2016) that completed all four-wave surveys and met the study inclusion criteria. We employed log-binomial regression to evaluate the associations between CML and the number of mental health conditions. A total of 20.2% of enrollees in the sample reported CML, and there was a dose-response relationship between CML and the number of mental health conditions (one condition: RR = 1.85, 95% CI (1.65, 2.09); two conditions: RR = 2.13, 95% CI (1.85, 2.45); three conditions: RR = 2.51, 95% CI (2.17, 2.91)). Survivors may be experiencing confusion or memory loss partly due to the mental health consequences of the 9/11 attacks. Clinicians treating patients with mental health conditions should be aware of potential cognitive impairment.

100 Highly Cited Interventional Studies on Mobile Health: a Bibliometric Analysis (Preprint)

2019 ◽  
Author(s):  
Arefeh Ameri ◽  
Farzad Salmanizadeh ◽  
Sareh Keshvardoost ◽  
Kambiz Bahaadinbeigy
Keyword(s):  
Mental Health ◽  
Treatment Adherence ◽  
Mobile Health ◽  
Mental Health Disorders ◽  
Mobile Technologies ◽  
Future Studies ◽  
Health Disorders ◽  
Number Of Citations ◽  
The Impact ◽  
Highly Cited

BACKGROUND Advances in mobile communication technologies in the field of health have led to numerous relevant studies. One of the criteria indicating the quality of the previously published studies is the number of citations. Therefore, investigating the features of highly cited articles and identifying the most frequently used mobile technological interventions can be important in developing future studies. OBJECTIVE This study aimed at identifying 100 cited interventional articles on mobile health. METHODS The database employed in this study was the Web of Science, which without limitations was analyzed in September 2019 to identify 100 highly cited interventional studies in the field of mobile health. The identified studies were classified based on the number of citations, year of publication, country of the first author, type of disease, and use of mobile technology. RESULTS A great majority of the studies in the field of interventional mobile health focused on obesity (n=18), addiction (n=15), diabetes (n=11) and mental health disorders (n=11), respectively. Many studies employed mobile technologies to promote lifestyle (weight loss and increased physical activity) (n=21), disease control (n=19), and treatment adherence (n=18). The mean number of citations per study was 140±94. The most cited study was in the category of viral disease treatment adherence (n=679), and the most cited articles were published in 2012. CONCLUSIONS Among the reviewed 100 studies, many of the interventional studies regarding mobile health focused on obesity, addiction, diabetes and mental health disorders. Text messaging service was used as intervention in most of the studies. Thus, future studies may focus on the use of mobile interventions for less reported diseases and investigate the impact of various mobile technologies on disease prevention, control, and treatment. CLINICALTRIAL Non applicable

Supporting caregivers of adolescents with mental health disorders using internet-based or mobile application interventions: a systematic review (Preprint)

2020 ◽  
Author(s):  
Hua Li ◽  
Lorraine Holtslander ◽  
Tracie Risling ◽  
Don Leidl ◽  
Megan Kennedy ◽  
...  
Keyword(s):  
Mental Health ◽  
Systematic Review ◽  
Mobile Application ◽  
Mental Health Disorders ◽  
Mobile App ◽  
Health Issues ◽  
Web Based ◽  
Mental Health Issues ◽  
Health Related ◽  
Health Disorders

BACKGROUND The number of adolescents with mental health issues has increased worldwide, which not only affects adolescents themselves but also their families, especially, their primary caregivers (mostly parents). Family caregivers are a lifelong resource in a child’s life, and play a crucial role in supporting and helping their children in their recovery journey, and provide unpaid care, mostly in the community, Yet they are the most unsupported of all groups of caregivers. With growing recognition of web-based or mobile application interventions playing a promising role in delivering programs in mental health related areas, caregivers of adolescents with mental health issues can benefit from the technologies that provide support for them. OBJECTIVE In this systematic review, we aimed to review the current existing literature on online-based programs or mobile applications that support caregivers of adolescents with mental health disorders. METHODS A systematic search of the literature using the PRISMA guideline was conducted on seven databases to identify any peer-reviewed articles published in English from 2009 to March 2019. The studies were screened, extracted, and the quality of the selected studies was appraised using the McMaster Critical Review. RESULTS This review revealed a paucity of studies that met the inclusion criteria. All five selected articles focus on evaluating online-based or mobile app interventions including online moderated social therapy, online parenting intervention program, online chat support groups, and smartphone application for suicidal adolescents and their parents. Acceptability, usability, and feasibility of the online-based or smartphone app interventions were confirmed in the studies while findings of improving mental health and well-being in the caregivers and adolescents were inconclusive. CONCLUSIONS With increased interests in web-based or mobile app interventions used in mental health related areas and its known benefits, more studies on supporting the caregivers using technologies are required.

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