Feasibility of an App-Supported Monitoring System for Cognitive-Behavioral Interventions in Fibromyalgia Patients in Public Settings.

IF 4.2 2区心理学 Q1 PSYCHOLOGY, SOCIAL

Cyberpsychology, behavior and social networking Pub Date : 2025-05-21 DOI:10.1089/cyber.2024.0582

Laura Rubio Fidel,Miriam Cotaina Berto,Laurencio Pérez Turleque,Azucena García-Palacios,Carlos Suso-Ribera

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引用次数: 0

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.

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应用程序支持的公共场所纤维肌痛患者认知行为干预监测系统的可行性

纤维肌痛（FM）是一种以广泛的疼痛、心理困扰和重大的社会代价为特征的慢性疾病。本研究评估了移动医疗（mHealth）应用程序的可行性，该应用程序旨在通过实时跟踪患者报告的结果和公共卫生保健环境中的适应性治疗修改来支持FM的认知行为治疗。36名患有FM的成年人参与了这项可行性研究，评估了该应用程序的可用性、可接受性以及对患者和治疗师的临床效用。结果显示出很高的可用性评分（患者为87.63，治疗师为88.75）和依从率（完成请求评估的67.9%），证实了该应用程序的实用性和参与潜力。该应用程序在干预期间产生了1348个临床警报，提供了可操作的见解，使治疗师能够动态地定制治疗方案。本研究强调了移动医疗技术通过数据驱动、实时监测和个性化治疗在加强心理护理方面的作用。抑郁程度虽小但显著下降，这突显了该应用改善心理结果的潜力。通过促进参与和促进个性化护理，该方法推进了数字卫生工具在慢性病管理中的整合，为加强公共卫生系统中的行为干预提供了可扩展的模型。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Cyberpsychology, behavior and social networking PSYCHOLOGY, SOCIAL-

CiteScore

9.60

自引率

3.00%

发文量

123

期刊介绍： Cyberpsychology, Behavior, and Social Networking is a leading peer-reviewed journal that is recognized for its authoritative research on the social, behavioral, and psychological impacts of contemporary social networking practices. The journal covers a wide range of platforms, including Twitter, Facebook, internet gaming, and e-commerce, and examines how these digital environments shape human interaction and societal norms. For over two decades, this journal has been a pioneering voice in the exploration of social networking and virtual reality, establishing itself as an indispensable resource for professionals and academics in the field. It is particularly celebrated for its swift dissemination of findings through rapid communication articles, alongside comprehensive, in-depth studies that delve into the multifaceted effects of interactive technologies on both individual behavior and broader societal trends. The journal's scope encompasses the full spectrum of impacts—highlighting not only the potential benefits but also the challenges that arise as a result of these technologies. By providing a platform for rigorous research and critical discussions, it fosters a deeper understanding of the complex interplay between technology and human behavior.