Robots in Geriatric Mental Health: Pipe Dream or Viable Solution?

Author(s):  
Harmehr Sekhon ◽  
Hailey V. Cray ◽  
Ipsit V. Vahia
2019 ◽  
Author(s):  
Jose Hamilton Vargas ◽  
Thiago Antonio Marafon ◽  
Diego Fernando Couto ◽  
Ricardo Giglio ◽  
Marvin Yan ◽  
...  

BACKGROUND Mental health conditions, including depression and anxiety disorders, are significant global concerns. Many people with these conditions don't get the help they need because of the high costs of medical treatment and the stigma attached to seeking help. Digital technologies represent a viable solution to these challenges. However, these technologies are often characterized by relatively low adherence and their effectiveness largely remains empirical unverified. While digital technologies may represent a viable solution for this persisting problem, they often lack empirical support for their effectiveness and are characterized by relatively low adherence. Conversational agents using artificial intelligence capabilities have the potential to offer a cost-effective, low-stigma and engaging way of getting mental health care. OBJECTIVE The objective of this study was to evaluate the feasibility, acceptability, and effectiveness of Youper, a mobile application that utilizes a conversational interface and artificial intelligence capabilities to deliver cognitive behavioral therapy-based interventions to reduce symptoms of depression and anxiety in adults. METHODS 1,012 adults with symptoms of depression and anxiety participated in a real-world setting study, entirely remotely, unguided and with no financial incentives, over an 8-week period. Participants completed digital versions of the 9-item Patient Health Questionnaire (PHQ-9) and the 7-item Generalized Anxiety Disorder scale (GAD-7) at baseline, 2, 4, and 8 weeks. RESULTS After the eight-week study period, depression (PHQ-9) scores of participants decreased by 48% while anxiety (GAD-7) scores decreased by 43%. The RCI was outside 2 standard deviations for 93.0% of the individuals in the PHQ-9 assessment and 90.7% in the GAD-7 assessment. Participants were on average 24.79 years old (SD 7.61) and 77% female. On average, participants interacted with Youper 0.9 (SD 1.56) times per week. CONCLUSIONS Results suggest that Youper is a feasible, acceptable, and effective intervention for adults with depression and anxiety. CLINICALTRIAL Since this study involved a nonclinical population, it wasn't registered in a public trials registry.


2005 ◽  
Vol 17 (3) ◽  
pp. 371-382 ◽  
Author(s):  
Perla Werner

Studies on laypersons' beliefs and knowledge about mental disorders have proliferated in recent years. However, attention has been focused mainly on depression and schizophrenia and on young adults. The aim of this paper is to summarize research in the area, and to discuss the need to expand research in the elderly population. The unique characteristics of older persons in terms of the prevalence and type of mental disorders, especially Alzheimer's disease (AD) and other dementias, as well as in terms of their being victims of “double jeopardy” require special attention and research. The present review has three main objectives. First, it summarizes the findings of studies examining different aspects of mental health literacy. Second, the importance of age in the study of mental health literacy is discussed. Third, findings of the few studies examining laypersons' beliefs in the area of AD are presented. Finally, research directions are suggested with special emphasis on the importance of geriatric mental health and mental health literacy.


2017 ◽  
Vol 25 (10) ◽  
pp. 1041-1047 ◽  
Author(s):  
Susan W. Lehmann ◽  
William B. Brooks ◽  
Dennis Popeo ◽  
Kirsten M. Wilkins ◽  
Mary C. Blazek

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