Work Smarter, Not Harder: Expanding the Treatment Capacity of a University Counseling Center Using Therapist-Assisted Online Treatment for Anxiety

Shaw, Brian M.; Lee, Geoff; Benton, Sherry A.

doi:10.1007/978-3-319-23736-7_19

Cited by 5 publications

(6 citation statements)

References 11 publications

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“…Major Depressive Disorder (MDD) and Generalized Anxiety Disorder (GAD) were identified as the most common disorders found in college students (Auerbach et al, 2018 ). University counseling services constitute a valuable resource to support college student mental health and wellness (Spooner, 2000 ) and a challenge that seems to be common across several counseling services is the growing student demand for these services and the limited resources to face these demands (Johnson and Kalkbrenner, 2017 ; Shaw et al, 2017 ; Auerbach et al, 2018 ; Lee and Jung, 2018 ). College students are also large consumers of technology and communicate frequently online (Shaw et al, 2017 ).…”

Section: Introductionmentioning

confidence: 99%

“…University counseling services constitute a valuable resource to support college student mental health and wellness (Spooner, 2000 ) and a challenge that seems to be common across several counseling services is the growing student demand for these services and the limited resources to face these demands (Johnson and Kalkbrenner, 2017 ; Shaw et al, 2017 ; Auerbach et al, 2018 ; Lee and Jung, 2018 ). College students are also large consumers of technology and communicate frequently online (Shaw et al, 2017 ). A study by Wilansky et al ( 2016 ) referred that mobile applications may increase youth adherence to Cognitive Behavioral Therapy (CBT) and improve treatment outcomes.…”

Section: Introductionmentioning

confidence: 99%

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Effectiveness of Mobile App-Based Psychological Interventions for College Students: A Systematic Review of the Literature

et al. 2021

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Serious mental health disorders are increasing among college students and university counseling services are often overburdened. Mobile applications for mental health have been growing exponentially in the last decade and they are emerging in university settings as a promising tool to promote and intervene in college students' mental health. Additionally, considering the recent covid-19 pandemic, mHealth interventions, due to its nature and possibilities, may play an important role in these institutions. Our main objectives are to explore mhealth interventions in universities, regarding its conceptual framework, acceptability and efficacy outcomes and understand its impact and contributions to address treatment delivery and psychological difficulties resulting from covid-19 pandemic. The literature search was conducted in scientific databases, namely, Web of Science, Pubmed, and Scopus. A search in app stores was not conducted, thus regarding commercially available apps, only those found in our database search were included in our review. We selected studies with mobile applications addressing psychological interventions for college students. A total of 2,158 participants were included in the 8 selected studies and most interventions were delivered through mobile apps only and based in cognitive behavioral therapy. Results suggested that college students accept and adhere to these interventions and preliminary evidence of efficacy was demonstrated in different disorders, such as stress, anxiety, depression and risky behaviors such as alcohol and tobacco abuse and sexual knowledge. We conclude that universities, particularly college counseling services, may benefit from mhealth interventions, not only to address college students' mental health but to decrease some of its difficulties related to lack of human resources. Specifically in covid-19 pandemic context, these interventions may contribute significantly by promoting and delivering psychological interventions at a safe distance.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Effectiveness of Mobile App-Based Psychological Interventions for College Students: A Systematic Review of the Literature

et al. 2021

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“…One useful application domain of automated internal sentiment analysis frameworks is the burgeoning field of online mental health therapy services [13][14][15][16][17][18][19][20][21][22][23] . These programs provide the patient education components inherent in cognitive behavioral therapy (CBT).…”

Section: Introductionmentioning

confidence: 99%

Hashtag Healthcare: From Tweets to Mental Health Journals Using Deep Transfer Learning

Shickel,

Heesacker,

Benton

et al. 2017

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As the popularity of social media platforms continues to rise, an ever-increasing amount of human communication and selfexpression takes place online. Most recent research has focused on mining social media for public user opinion about external entities such as product reviews or sentiment towards political news. However, less attention has been paid to analyzing users' internalized thoughts and emotions from a mental health perspective. In this paper, we quantify the semantic difference between public Tweets and private mental health journals used in online cognitive behavioral therapy. We will use deep transfer learning techniques for analyzing the semantic gap between the two domains. We show that for the task of emotional valence prediction, social media can be successfully harnessed to create more accurate, robust, and personalized mental health models. Our results suggest that the semantic gap between public and private self-expression is small, and that utilizing the abundance of available social media is one way to overcome the small sample sizes of mental health data, which are commonly limited by availability and privacy concerns.

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“…Universities have specific counselling services that constitute a valuable resource for students with different psychological needs or difficulties (Spooner, 2000). However, these services often provide limited resources to face an increasing demand (Johnson & Kalkbrenner, 2017;Lee & Jung, 2018;Shaw et al, 2017) leading, for example, to an increased counselor caseload and decreased session frequency (Shaw et al, 2017). mHealth interventions may be a promising and interesting solution to deal with these challenges, enabling easy access to mental health interventions in one's everyday routine.mHealth is defined as the use of mobile technologies to deliver or support psychological or mental health interventions and includes mobile devices such as smartphones, tablets, Personal Digital Assistants, and wearable devices (Alyami et al, 2017;Clough & Casey, 2015).…”

mentioning

confidence: 99%

“…based mental health resources and services (Shaw et al, 2017). The number of mhealth interventions in college settings has been raising and Johnson & Kalkbrenner (2017) concludes that mhealth is being used in college settings with increased popularity.…”

mentioning

confidence: 99%

A Social Anxiety Mobile-Based Cbt Intervention for College Students and Therapists: Theoretical Framework

Pereira

2022

SSRN Journal

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Work Smarter, Not Harder: Expanding the Treatment Capacity of a University Counseling Center Using Therapist-Assisted Online Treatment for Anxiety

Cited by 5 publications

References 11 publications

Effectiveness of Mobile App-Based Psychological Interventions for College Students: A Systematic Review of the Literature

Effectiveness of Mobile App-Based Psychological Interventions for College Students: A Systematic Review of the Literature

Hashtag Healthcare: From Tweets to Mental Health Journals Using Deep Transfer Learning

A Social Anxiety Mobile-Based Cbt Intervention for College Students and Therapists: Theoretical Framework

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