Feasibility of an App-Supported Monitoring System for Cognitive-Behavioral Interventions in Fibromyalgia Patients in Public Settings.
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| Title: | Feasibility of an App-Supported Monitoring System for Cognitive-Behavioral Interventions in Fibromyalgia Patients in Public Settings. |
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| Authors: | Rubio Fidel, Laura, Cotaina Berto, Miriam, Pérez Turleque, Laurencio, García-Palacios, Azucena, Suso-Ribera, Carlos |
| Source: | CyberPsychology, Behavior & Social Networking. Jun2025, Vol. 28 Issue 6, p432-439. 8p. |
| Subjects: | Treatment of fibromyalgia, Prevention of mental depression, Patient compliance, Psychotherapists, Professionalism, Psychiatric treatment, Questionnaires, Psychological adaptation, Group psychotherapy, Descriptive statistics, Telemedicine, Pre-tests & post-tests, Surveys, Attitudes of medical personnel, Patient satisfaction, Cognitive therapy, Patient monitoring, Health outcome assessment, Psychological tests, Data analysis software, Psychosocial factors |
| Abstract: | Fibromyalgia (FM) is a chronic condition marked by widespread pain, psychological distress, and significant societal costs. This study evaluates the feasibility of a mobile health (mHealth) application designed to support cognitive-behavioral therapy for FM by enabling real-time tracking of patient-reported outcomes and adaptive treatment modifications within public health care settings. Thirty-six adults with FM participated in this feasibility study, which assessed the app's usability, acceptability, and clinical utility for both patients and therapists. Results demonstrated high usability ratings (87.63 for patients, 88.75 for therapists) and adherence rates (67.9 percent of requested evaluations completed), confirming the app's practicality and engagement potential. The app generated 1,348 clinical alarms during the intervention, providing actionable insights that allowed therapists to tailor treatments dynamically. This study highlights the role of mHealth technologies in enhancing psychological care through data-driven, real-time monitoring, and treatment personalization. Small but notable reductions in depression levels underscore the app's potential to improve psychological outcomes. By fostering engagement and facilitating personalized care, this approach advances the integration of digital health tools in chronic disease management, offering a scalable model for enhancing behavioral interventions in public health systems. [ABSTRACT FROM AUTHOR] |
| Copyright of CyberPsychology, Behavior & Social Networking is the property of Mary Ann Liebert, Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
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| Abstract: | Fibromyalgia (FM) is a chronic condition marked by widespread pain, psychological distress, and significant societal costs. This study evaluates the feasibility of a mobile health (mHealth) application designed to support cognitive-behavioral therapy for FM by enabling real-time tracking of patient-reported outcomes and adaptive treatment modifications within public health care settings. Thirty-six adults with FM participated in this feasibility study, which assessed the app's usability, acceptability, and clinical utility for both patients and therapists. Results demonstrated high usability ratings (87.63 for patients, 88.75 for therapists) and adherence rates (67.9 percent of requested evaluations completed), confirming the app's practicality and engagement potential. The app generated 1,348 clinical alarms during the intervention, providing actionable insights that allowed therapists to tailor treatments dynamically. This study highlights the role of mHealth technologies in enhancing psychological care through data-driven, real-time monitoring, and treatment personalization. Small but notable reductions in depression levels underscore the app's potential to improve psychological outcomes. By fostering engagement and facilitating personalized care, this approach advances the integration of digital health tools in chronic disease management, offering a scalable model for enhancing behavioral interventions in public health systems. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 21522715 |
| DOI: | 10.1089/cyber.2024.0582 |
