Cognitive-Behavioural Therapy Targeting Fear of Progression in an Interdisciplinary Care Program: A Case Study in Systemic Sclerosis

Kwakkenbos, Linda; Hoogen, F.H.J. van den; Lankveld, W.G.J.M. van; Beenackers, Hanneke; Helmond, Toon F. van; Becker, Eni S.; Ende, C.H.M. van den

doi:10.1007/s10880-014-9414-3

Cited by 5 publications

(4 citation statements)

References 47 publications

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“…As in other rare diseases, many people with SSc initially experience disabling but unexplained symptoms and often struggle to obtain a diagnosis, a process that often takes several years . Once a patient is diagnosed, the future is filled with ongoing uncertainty and unpredictability, as there is no clear course to the development and progression of the disease . Marked disfigurement from the disease sets people with SSc apart as different, and some have described changes in physical appearance so drastic that they are no longer recognized by former acquaintances and colleagues .…”

Section: Introductionmentioning

confidence: 99%

Reasons for Not Participating in Scleroderma Patient Support Groups: A Cross‐Sectional Study

Gumuchian

Delisle

Peláez

et al. 2018

Arthritis Care & Research

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Section: Introductionmentioning

confidence: 99%

Reasons for Not Participating in Scleroderma Patient Support Groups: A Cross‐Sectional Study

Gumuchian

Delisle

Peláez

et al. 2018

Arthritis Care & Research

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“…The alleviation of anxiety through counseling has been studied in various studies. Various types of stress and fear were identified as the result of an excessive stressor causing impaired response [5]. At a different level, the disorder has predictive and automatic symptoms as a mental disorder [6].…”

Section: Introductionmentioning

confidence: 99%

Conceptual Design of Digital Anxiety Detection-Tools for Students School Anxiety

Hidayah¹,

Ramli²,

Kirana³

et al. 2023

Proceedings of the International Conference on Educational Management and Technology (ICEMT 2022)

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This study aimed to develop a conceptual design of DAD (Digital Anxiety Detection-tools) for students. DAD is an alternative tool to identify student anxiety more specifically and in real-time based on physical symptoms and the identification of students' psychological conditions. This research model uses the modified ADDIE design with the Analyze, Design and Development stages. The results of this study identified physiological symptoms of anxiety experienced by students in the form of increased heart rate, shortness of breath, cold sweat, and several other symptoms. The product prototype theoretically focuses on measuring the physiological symptoms of student anxiety. The product prototype is a flowchart design, a tool to measure the condition of students' anxiety symptoms in real-time, and can compare them to the baseline of students' situations. The digital application system is based on Convolutional Neural Network (CNN), integrated with a digital sphygmomanometer and Passive infrared. The results of this research are still in the form of product design, so it requires further development steps in the development, implementation, and evaluation process.

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“…Various treatments have been proposed to deal with FOP, including cognitive-behavioral treatments (10), client-centered supportive treatments (11), and education based on acceptance and commitment (12). It seems that collaborative care can also be an effective strategy.…”

Section: Introductionmentioning

confidence: 99%

Effect of Collaborative Care on Fear of Disease Progression in Multiple Sclerosis Patients: A Randomized Controlled Trial

Ebrahimi,

Ansari Jaberi,

Negahban Bonabi

2023

J Nurs Midwifery Sci

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Background: Fears about the future and uncertainty in multiple sclerosis (MS) can affect the patients’ adaptation and well-being. Objectives: This study investigated the effect of collaborative care on the fear of disease progression in MS patients. Methods: In this randomized controlled trial, patients and their main caregivers were assigned into study groups (36 in the intervention and 43 in the control group) by randomized minimization method. For the intervention group, the collaborative care model was implemented in seven sessions over nine weeks. The data were collected using the Fear of Progression Questionnaire-Short Form (FOP Q-SF). Data analysis was done using descriptive statistics, Shapiro-Wilk, chi-square, Fisher Exact, independent, and paired t-tests. Results: A near-significant difference was found between the groups after the intervention (P = 0.051). However, in intragroup comparisons, the FOP score significantly decreased in the intervention group (P = 0.001) and increased in the control group after the intervention (P = 0.001). Conclusions: Collaborative care could potentially be an effective strategy for managing FOP in patients with MS.

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Cognitive-Behavioural Therapy Targeting Fear of Progression in an Interdisciplinary Care Program: A Case Study in Systemic Sclerosis

Cited by 5 publications

References 47 publications

Reasons for Not Participating in Scleroderma Patient Support Groups: A Cross‐Sectional Study

Reasons for Not Participating in Scleroderma Patient Support Groups: A Cross‐Sectional Study

Conceptual Design of Digital Anxiety Detection-Tools for Students School Anxiety

Effect of Collaborative Care on Fear of Disease Progression in Multiple Sclerosis Patients: A Randomized Controlled Trial

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