Mobile-Application Based Cognitive Behavior Therapy (CBT) for Identifying and Managing Depression and Anxiety

Addepally, Siva Abhishek; Purkayastha, Saptarshi

doi:10.1007/978-3-319-58466-9_1

Cited by 13 publications

(9 citation statements)

References 15 publications

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“…In depression, for example, context-based techniques to recommend activities have been proposed [102,103]. Other examples capture the location information of patients to detect whether they are in a remote place, so that reminders or suggestions are sent accordingly [104]. The focus of Simm et al [105] is on anxiety, and the authors use contextual information to allow patients to relate visually, through a mobile app, places to symptoms, linking them to the sense of place dimension.…”

Section: Resultsmentioning

confidence: 99%

Considerations for Designing Context-Aware Mobile Apps for Mental Health Interventions

Miralles

Granell

2019

IJERPH

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This work identifies major areas of knowledge and proposes a set of relevant dimensions by area that must be taken into account in the design and delivery of context-aware mobile applications for mental health interventions. We argue that much of the related research has focused only on a few dimensions, paying little or no attention to others and, most importantly, to potential relationships between them. Our belief is that the improvement of the effectiveness of mobile interventions to support mental health necessarily implies that developers and therapists comprehensively consider the interaction between the proposed dimensions. Taking as a starting point the three areas of knowledge (Technology, Context, and Mental Health), we re-examine each area to identify relevant dimensions, discuss the relationships between them and finally draw a series of considerations. The resulting considerations can help therapists and developers to devise, design, and generate custom mobile applications in a way that increases the motivation and engagement of patients and, therefore, the effectiveness of psychological treatments.

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Section: Resultsmentioning

confidence: 99%

Considerations for Designing Context-Aware Mobile Apps for Mental Health Interventions

Miralles

Granell

2019

IJERPH

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“…In previous studies, when carrying out the treatment, the context has been considered and treated as a variable. In the study by Addepally and Purkayastha (2017), the authors looked at using a mobile application (app) that would monitor the location of depressed people. The app detected whether depressed patients were in uncrowded areas (a frequent trait in depressed individuals according to the authors) and, if so, the patient would receive therapeutic strategies and self-help assessments through notifications.…”

Section: Location-based Technologies Through the Use Of A Smartphone Appmentioning

confidence: 99%

Enhancing In Vivo Exposure in the Treatment of Panic Disorder and Agoraphobia Using Location-Based Technologies: A Case Study

Miralles

Granell

García‐Palacios

et al. 2019

Clinical Case Studies

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Panic disorder (PD) is quite prevalent and often appears along with agoraphobia (PD/A). The treatment of choice is cognitive behavioral therapy (CBT). Transdiagnostic intervention, an emotion-focused, cognitive behavioral intervention that has led to the Unified Protocol (UP), emphasizes the common underlying mechanisms that contribute to the development and maintenance of emotional disorders such as PD/A. A core feature of this treatment approach is in vivo exposure (IVE) to feared situations, which aims to prevent avoidance behaviors and encourages the patient to confront feared situations gradually. It is a difficult component for patients, especially when implementing the exposure on their own. Different feedback formats can be used to increase adequate IVE and reduce overt or subtle avoidance. The use of smartphones is a very useful option to initiate and sustain exposure behavior. The purpose of this study is to describe the use of location-based technologies (LBTs) during the IVE component of the UP treatment of a 47-year-old patient with PD/A. The acceptability and usability of the system were assessed. The Symptoms platform was employed during the exposure module, using LBT with a smartphone app. The patient reported positive expectations, high satisfaction scores, and an overall satisfactory experience. Enhancing key therapeutic components during treatment through the development of media-based tools is a very promising future research aim, and the possibility of using advanced smartphone features should be explored.

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“…It tracks the user's voice pitch to identify the mood of the user. In order to enlighten the user's mood, the application also plays motivational quotes and the user's proffered songs according to the surveys held earlier [9]. Marzuki et al (2018) studied about the attrition rate which is the amount of time a user is focused on the CBT based technology and studied various modes of technology integrated with CBT and their attrition rates leading to the conclusion that game based applications have the highest attrition rate among others [10].…”

Section: Introductionmentioning

confidence: 99%

Effectiveness of Artificial Intelligence in Cognitive Behavioral Therapy

Mathur

Munshi

Varma

et al. 2021

Smart Innovation, Systems and Technologies

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The socio-economic conditions around us have been significantly deteriorating taking a toll on the mental health of each contributing to an escalation in the number of people agonizing mental health issues such as anxiety, stress, etc. Due to the corona virus outbreak, many individuals suffered the feeling of helplessness and depression during this time, although the action and reaction vary from person to person, some may be panicking or some may be suffering from collective hysteria, the feeling of helplessness is also emerging due to the desperation and hopelessness caused by the disease. These circumstances demand compelling contemplation in order to eradicate or control the shoot up in the number of cases worldwide. In this paper, we introduce Cognitive Behavioral Therapy (CBT) and its importance in today's time looking at the cur-rent scenario. Throughout the years, there has been an evolution in the way CBT treatment is done. Nowadays, CBT has become more easily accessible as compared to before because sometimes a person's condition might not be that serious and so they might feel awkward going for a therapy session. It will help to treat a lot of people at one time and that too according to their convenience. As of now, we can combine CBT and Artificial Intelligence (AI) to help and reach out to larger audiences keeping in mind to provide convenience and ease, while having the therapy. The motive is to make them appreciate every part of life and look for a positive reason behind everything.

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Mobile-Application Based Cognitive Behavior Therapy (CBT) for Identifying and Managing Depression and Anxiety

Cited by 13 publications

References 15 publications

Considerations for Designing Context-Aware Mobile Apps for Mental Health Interventions

Considerations for Designing Context-Aware Mobile Apps for Mental Health Interventions

Enhancing In Vivo Exposure in the Treatment of Panic Disorder and Agoraphobia Using Location-Based Technologies: A Case Study

Effectiveness of Artificial Intelligence in Cognitive Behavioral Therapy

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