Internet-Based Cognitive Behavioral Therapy Among Psychologists in a Medical Setting: A Survey on Implementation

Background Internet-based cognitive behavioral therapy (iCBT) is an effective treatment for patients with a chronic somatic illness to improve self-management skills and to learn to adjust to their chronic disease and its impact on daily life. However, the implementation of iCBT in clinical practice is challenging. Objective This study aimed to examine the current degree of implementation of iCBT among psychologists in a medical setting and discover determinants influencing the implementation of iCBT among nonusers. Methods A Web-based survey, based on the Unified Theory of Acceptance and Use of Technology (UTAUT), was distributed among psychologists in a medical setting. The survey included questions regarding the current use of iCBT, intention to use iCBT in the future, and operationalized concepts of the UTAUT constructs, that is, performance expectancy (PE), effort expectancy (EE), social influence (SI), and facilitating conditions (FC). Results In total, 107 (24.8%) psychologists completed the survey. Of them, 16.8% have access to iCBT, 15.9% currently use iCBT, and 21.5% are expected to use iCBT within the next year. The constructs PE, EE, and SI together significantly influenced behavioral intention (BI; mean 3.9 [SD=0.8]) among nonusers (R2=0.490; F4.85=20.405; P<.001). Conclusions In spite of an average to high BI, the current implementation of iCBT is rather low among psychologists in a medical setting. Further research should focus on reducing the gap between intention to use and actual use by focusing on influencing the predictive UTAUT constructs.

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Factors that influence teachers’ use of GeoGebra for instruction

Suid-Afrikaanse Tydskrif vir Natuurwetenskap en Tegnologie ◽

10.4102/satnt.v35i1.1366 ◽

2016 ◽

Vol 35 (1) ◽

Author(s):

Gerrit H. Stols ◽

Stephan J. Venter ◽

Elizabeth M. Louw

Keyword(s):

Teaching And Learning ◽

Intention To Use ◽

Unified Theory ◽

Software Training ◽

Use Of Technology ◽

Effort Expectancy ◽

Actual Use ◽

Facilitating Conditions ◽

The Relationship ◽

Mathematics Software

This study investigated factors that influence teachers’ use of mathematics software (in this case GeoGebra) for teaching and learning. Participants in the study were purposefully selected from a group of teachers that have received software training, have access to computers, and are familiar with the software. Seventy-five respondents completed the structured questionnaires. Multiple regressions were used to investigate the relationship between the four constructs of the Unified Theory of Acceptance and Use of Technology. These constructs are performance expectancy, effort expectancy, social influence, and facilitating conditions on teachers’ intention to use the mathematics software. This study found that the combination of the four above mentioned constructs explained 30% of the variance in respondents’ intention to use the software. Facilitating conditions were not found to directly influence whether or not people actually used the software because all of them have access to computers. Teachers’intention to use GeoGebra was found to predict the actual use of GeoGebra for teaching and learning.Keywords: mathematics; teachers; technology; ICT; software

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Cognitive-Behavioral Therapy to Promote Self-Management

Promoting Self-Management of Chronic Health Conditions ◽

10.1093/med-psych/9780190606145.003.0003 ◽

2017 ◽

pp. 31-57

Author(s):

Sharon Eldar ◽

Nora M. Esser ◽

Stefan G. Hofmann

Keyword(s):

Cognitive Behavioral Therapy ◽

Behavioral Therapy ◽

Chronic Health Condition ◽

Health Condition ◽

Cognitive Behavioral ◽

Self Management ◽

Great Success ◽

Management Skills ◽

Chronic Health ◽

Negative Thoughts

Adjusting and adapting to a chronic health condition is a long process that involves adopting a new lifestyle. Cognitive behavioral therapy (CBT) has had great success in promoting this process and enhancing self-management skills among people with chronic conditions. The main goal of CBT is to encourage people to become their own therapist and to feel confident in managing their chronic situation. This chapter describes the main CBT ideas on how thoughts, feelings, and behaviors interact with one another and which concepts and techniques can help people break the vicious cycle of negative thoughts, difficult emotions, and nonadaptive behaviors. Following that, the chapter explains how to implement those skills and techniques specifically among people with chronic health conditions in order to increase their quality of life.

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Factors that Enhance Treatment Outcome of Cognitive-Behavioral Therapy for Anxiety Disorders

CNS Spectrums ◽

10.1017/s1092852900028911 ◽

2002 ◽

Vol 9 (S14) ◽

pp. 6-17,35 ◽

Cited By ~ 2

Author(s):

Edna B. Foa ◽

Shawn P. Cahill ◽

Kristin Pontoski

Keyword(s):

Cognitive Behavioral Therapy ◽

Anxiety Disorders ◽

Emotional Processing ◽

Behavioral Therapy ◽

Cognitive Behavioral ◽

Management Skills ◽

Anxiety Management ◽

Processing Theory ◽

Controlled Breathing ◽

And Training

ABSTRACTEffective cognitive-behavioral therapy (CBT) programs have been developed for aU of the anxiety disorders. Common elements ofCBTfor these disorders include exposure to feared objects, situations, activities, thoughts, memories, and sensations; cognitive restructuring of dysfunctional beliefs; and training in anxiety management skills, such as controlled breathing and relaxation. This article describesCBTprocedures for anxiety disorders and summarizes the research documenting its efficacy. Next, the article discusses the factors that influence the efficacy of these treatment program. Finally, emotional-processing theory is discussed to explain the efficacy of CBT for anxiety and how this theory can assist in selecting optimal treatment brocedures.

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Development and preliminary evaluation of CBT+: A clinician-controlled just-in-time adaptive intervention system designed to promote acquisition and utilization of cognitive-behavioral therapy skills in bulimia nervosa. (Preprint)

10.2196/preprints.18261 ◽

2020 ◽

Author(s):

Paakhi Srivastava

Keyword(s):

Cognitive Behavioral Therapy ◽

Bulimia Nervosa ◽

Skill Acquisition ◽

Behavioral Therapy ◽

Pilot Trial ◽

Cognitive Behavioral ◽

Just In Time ◽

Preliminary Evaluation ◽

Management Skills ◽

Self Monitoring

BACKGROUND Cognitive behavioral therapy (CBT) for bulimia nervosa (BN) is most effective when patients demonstrate adequate skill utilization (i.e., the frequency with which a patient practices or uses therapeutic skills) and skill acquisition (i.e., the ability to successfully perform a skill learned in treatment). However, rates of utilization and acquisition of key treatment skills (e.g. regular eating, urge management skills, mood management skills) by the end of treatment are frequently low and outcomes from CBT for BN suffer as a result. Just-in-time adaptive interventions (JITAIs) may be able to improve skill acquisition and utilization via the delivery of real time interventions during algorithm-identified opportunities for skill practice. OBJECTIVE In the current manuscript, we describe a newly-developed JITAI system called CBT+ that is designed to facilitate acquisition and utilization of CBT for BN treatment skills when used as a treatment augmentation. We also present feasibility, acceptability, and preliminary outcomes data from a small proof-of-concept pilot trial (n=5 patients, n=3 clinicians) designed to identify opportunities for iterative development of CBT+ ahead of a larger ongoing RCT. METHODS Five individuals with BN received 16 sessions of outpatient CBT for BN while using the CBT+ app. Data were collected from patients and clinicians to evaluate the feasibility (e.g., app usage, user compliance), acceptability (e.g., qualitative patient and clinician feedback), and preliminary outcomes (e.g., improvements in skill use and acquisition, BN symptoms) of the CBT+ system. RESULTS Preliminary findings indicated that the CBT+ system was acceptable to both patients and clinicians. Patients reported that CBT+ was relatively low burden (e.g., quick and easy to use self-monitoring interface) and compliance with in-app self -monitoring was high (mean entries per day =3.13). JITAIs were perceived as useful by both patients (M= 4.63/6.00) and clinicians (M=4.94/6.00) in encouraging the use of CBT skills. Large improvements in CBT skills and clinically significant declines in BN symptoms were observed by post-treatment. CONCLUSIONS CBT+, the first-ever JITAI system designed to facilitate acquisition and utilization of CBT for BN treatment skills when used as a treatment augmentation, was shown to be feasible and acceptable. Areas for iterative improvement of the CBT+ system ahead of an RCT are discussed.

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Utilization and Implementation of Trauma-Focused Cognitive–Behavioral Therapy for the Treatment of Maltreated Children

Child Maltreatment ◽

10.1177/1077559511418220 ◽

2011 ◽

Vol 17 (1) ◽

pp. 80-85 ◽

Cited By ~ 40

Author(s):

Brian Allen ◽

Jennifer C. Johnson

Keyword(s):

Cognitive Behavioral Therapy ◽

Behavior Management ◽

Behavioral Therapy ◽

The United States ◽

Cognitive Behavioral ◽

Mental Health Clinicians ◽

Management Skills ◽

Trauma Narrative ◽

Full Sample ◽

Maltreated Children

Trauma-Focused Cognitive–Behavioral Therapy (TF-CBT) is one of the most researched and widely disseminated interventions for maltreated children. This study describes the findings of a survey of 132 mental health clinicians in children’s advocacy centers (CACs) across the United States to determine the percentage of clinicians who are trained in and utilize TF-CBT and the frequency with which TF-CBT components are implemented. A total of 103 (78%) of the clinicians reported being trained in and utilizing TF-CBT on a regular basis; however, only 66% of these clinicians (58% of the full sample) reported being likely to use each component. The most preferred components were teaching relaxation skills and providing psychoeducation, whereas teaching caregiver child behavior management skills, developing a trauma narrative, and cognitive restructuring were less preferred. Results are discussed in the context of continued dissemination efforts and implications for improving clinical practice.

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Factors Affecting User’s Behavioral Intention and Use of a Mobile-Phone-Delivered Cognitive Behavioral Therapy for Insomnia: A Small-Scale UTAUT Analysis

Journal of Medical Systems ◽

10.1007/s10916-021-01785-w ◽

2021 ◽

Vol 45 (12) ◽

Author(s):

Siska Fitrianie ◽

Corine Horsch ◽

Robbert Jan Beun ◽

Fiemke Griffioen-Both ◽

Willem-Paul Brinkman

Keyword(s):

Cognitive Behavioral Therapy ◽

Social Influence ◽

Behavioral Intention ◽

Behavioral Therapy ◽

Mobile App ◽

Cognitive Behavioral ◽

Performance Expectancy ◽

Effort Expectancy ◽

Facilitating Conditions ◽

Use Behavior

AbstractA mobile app could be a powerful medium for providing individual support for cognitive behavioral therapy (CBT), as well as facilitating therapy adherence. Little is known about factors that may explain the acceptance and uptake of such applications. This study, therefore, examines factors from an extended version of the Unified Theory of Acceptance and Use of Technology (UTAUT2) model to explain variation between people’s behavioral intention to use a CBT for insomnia (CBT-I) app and their use-behavior. The model includes eight aspects of behavioral intention: performance expectancy, effort expectancy, social influence, self-efficacy, trust, hedonic motivation, anxiety, and facilitating conditions, and investigates further the influence of the behavioral intention and facilitating conditions on app-usage behavior. Data were gathered from a field trial involving people (n = 89) with relatively mild insomnia using a CBT-I app. The analysis applied the Partial Least Squares-Structural Equation Modeling method. The results found that performance expectancy, effort expectancy, social influence, self-efficacy, trust, and facilitating conditions all explained part of the variation in behavioral intention, but not beyond the explanation provided by hedonic motivation, which accounted for R2 = 0.61. Both behavioral intention and facilitating conditions could explain the use-behavior (R2 = 0.32). We anticipate that the findings will help researchers and developers to focus on: (1) users’ positive feelings about the app as this was an indicator of their acceptance of the mobile app and usage; and (2) the availability of resources and support as this also correlated with the technology use.

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