Clinical trials

This multicenter pilot study evaluates the feasibility, implementation fidelity, and preliminary effects of the GAP-421 (Personalized Care Management) model for chronic pain management in primary care physiotherapy. The GAP model is a time-limited organizational modality that reconfigures schedules, resources, and professional roles during a defined 6-week window to organize care around the individual patient and their trajectory, formalizing coordination work that previously occurred informally. The study uses a convergent mixed-methods design across three primary care health centers in the Southeast Healthcare District (DASE) of the Community of Madrid, Spain. The quantitative component is a prospective multicenter pre-post case series with 3-month follow-up (n=66 patients, 22 per center). The qualitative component includes semi-structured interviews (n=12) and focus groups (3 groups, n=6 each). Integration occurs through Joint Display, Pillar Integration Process, and a 9-type legitimation framework. The primary outcome is patient-perceived care coordination measured on a 0-10 numerical scale (PREM). Secondary outcomes span five domains: patient-reported outcomes (EQ-5D-5L, Graded Chronic Pain Scale, pain intensity), professional outcomes (coordination burden, role clarity), system sustainability (avoidable re-consultations, emergency department use), implementation fidelity, and feasibility indicators. Results will generate feasibility parameters, intraclass correlation coefficient estimates, and process indicators essential for designing definitive cluster-randomized trials testing organizational interventions in primary care physiotherapy.

This multicenter cluster-randomized study evaluates the impact of an artificial intelligence (AI) tool on the satisfaction of healthcare professionals and patients in outpatient consultations, measuring its effect on perceived satisfaction (through a visual analog scale), the duration of consultations, and the quality and quantity of clinical data recorded. Adult patients (18-80 years) seen in outpatient centers will participate, comparing those using the AI tool with centers following the usual procedure. The tool is expected to reduce the administrative burden, improve user satisfaction and increase the efficiency and quality of the clinical registry. Recruitment will take place between December 2024 and May 2025, with final analysis planned for the end of 2025.

Background: Fibromyalgia (FM) is a complex, chronic condition characterized by widespread musculoskeletal pain, cognitive dysfunction, fatigue, and emotional comorbidities such as anxiety and depression. These symptoms severely impact daily functioning and quality of life. Although non-pharmacological strategies-such as therapeutic exercise and patient education-are recommended as first-line treatments, their implementation outside the clinical setting remains a challenge due to low adherence and lack of continuity. Objective: To evaluate the effectiveness of a digital health intervention-BEI app-as a complement to usual care in improving clinical and functional outcomes among patients with fibromyalgia. Methods: This is a randomized controlled trial (RCT) with two parallel arms (1:1 allocation). A total of 70 adult participants with fibromyalgia (diagnosed per ACR 2016 criteria) will be recruited through a patient association in Madrid, Spain. The control group will receive 12 weeks of standard, in-person treatment consisting of group-based education and physical activity. The experimental group will receive the same in-person program plus daily access to the BEI mobile application, which includes educational modules, physical and cognitive training, symptom tracking, and personalized feedback. Outcomes will be assessed at baseline, week 6 (mid-intervention), week 12 (post-intervention), and week 24 (follow-up). Primary outcomes include pain intensity (VAS) and functional impact (FIQR). Secondary outcomes include catastrophizing, self-efficacy, cognitive function, physical activity, anxiety, depression, quality of life, app engagement, and satisfaction. Expected results: The results of this trial will provide evidence regarding the potential of mHealth tools to enhance adherence, self-efficacy, and functional outcomes in individuals with fibromyalgia.

Objective: to evaluate the effectiveness of an action observation program (OA) and motor imagery (MI) -integrated into routine physiotherapy practice- to reduce disability associated with chronic shoulder pain in primary care, after 8 weeks of intervention and with follow-ups at 3 and 6 months with blind evaluation of the response variable. Design: randomized controlled clinical trial. Population: Patients with chronic shoulder pain diagnosed and referred by their family doctors to the physiotherapy service will be included. Intervention: Group: experimental: MI+OA+ multicomponent exercises or control group: multicomponent exercises. 100 patients (50 per group) will be included. Variables: sociodemographic and clinical variables will be collected. Primary variable: Disability related to pain in the shoulder region; Secondary variables: Intensity of perceived pain, Shoulder Joint Range of Motion, Hand and shoulder strength, Fear of movement, Catastrophizing in the face of pain, Quality of life of patients, Global Perception of Change, and adherence to exercise. Statistical analysis: Descriptive. Main effectiveness analysis by intention to treat comparing the difference between groups in the average disability for the different intervention times. Multivariate analysis considers the influence of psychological variables on pain and on the therapeutic response. An analysis segmented by sex will be carried out, and the influence of psychological variables on pain and on the therapeutic response will be analyzed.