5 research outputs found
Toward Telemonitoring in Immune-Mediated Inflammatory Diseases: Protocol for a Mixed Attention Model Study
Mixed attention model; Rheumatic musculoskeletal diseases; TelemonitoringModelo de atención mixta; Enfermedades musculoesqueléticas reumáticas; TelevigilanciaModel d'atenció mixta; Malalties musculoesquelètiques reumàtiques; TelevigilànciaBackground:
Rheumatic and musculoskeletal diseases (RMDs) are chronic diseases that may alternate between asymptomatic periods and flares. These conditions require complex treatments and close monitoring by rheumatologists to mitigate their effects and improve the patient’s quality of life. Often, delays in outpatient consultations or the patient’s difficulties in keeping appointments make such close follow-up challenging. For this reason, it is very important to have open communication between patients and health professionals. In this context, implementing telemonitoring in the field of rheumatology has great potential, as it can facilitate the close monitoring of patients with RMDs. The use of these tools helps patients self-manage certain aspects of their disease. This could result in fewer visits to emergency departments and consultations, as well as enable better therapeutic compliance and identification of issues that would otherwise go unnoticed.
Objective:
The main objective of this study is to evaluate the implementation of a hybrid care model called the mixed attention model (MAM) in clinical practice and determine whether its implementation improves clinical outcomes compared to conventional follow-up.
Methods:
This is a multicenter prospective observational study involving 360 patients with rheumatoid arthritis (RA) and spondylarthritis (SpA) from 5 Spanish hospitals. The patients will be followed up by the MAM protocol, which is a care model that incorporates a digital tool consisting of a mobile app that patients can use at home and professionals can review asynchronously to detect incidents and follow patients' clinical evolution between face-to-face visits. Another group of patients, whose follow-up will be conducted in accordance with a traditional face-to-face care model, will be assessed as the control group. Sociodemographic characteristics, treatments, laboratory parameters, assessment of tender and swollen joints, visual analog scale for pain, and electronic patient-reported outcome (ePRO) reports will be collected for all participants. In the MAM group, these items will be self-assessed via both the mobile app and during face-to-face visits with the rheumatologist, who will do the same for patients included in the traditional care model. The patients will be able to report any incidence related to their disease or treatment through the mobile app.
Results:
Participant recruitment began in March 2024 and will continue until December 2024. The follow-up period will be extended by 12 months for all patients. Data collection and analysis are scheduled for completion in December 2025.
Conclusions:
This paper aims to provide a detailed description of the development and implementation of a digital solution, specifically an MAM. The goal is to achieve significant economic and psychosocial impact within our health care system by enhancing control over RMDs.This work was supported by: Fondo para la Investigación Sanitaria, Instituto de Salud Carlos III (PI22/00777)
Proyecto PREDIRCAM 2. Análisis preliminar de uso y valoración de la plataforma
En la actualidad, la prevalencia de las enfermedades no transmisibles (Non-communicable diseases NCD) y la cantidad de muertes causadas por éstas es muy elevada, en su mayoría, consecuencia del envejecimiento de la población, el aumento de la obesidad y los hábitos de vida sedentarios. En este trabajo se describen el funcionamiento y los resultados preliminares del proyecto Predircam 2, destinado al desarrollo y validación de una plataforma inteligente de tecnologías biomédicas para la monitorización, prevención y tratamiento personalizados del sobrepeso, la obesidad y la prevención de enfermedades asociadas como la diabetes, hipertensión arterial o alteraciones del metabolismo lipídico. El objetivo de este trabajo es presentar los resultados preliminares del análisis del uso de la plataforma, la evaluación de la usabilidad y la valoración de la atención recibida por los pacientes en relación a los profesionales sanitarios
PREDIRCAM eHealth platform for individualized telemedical assistance for lifestyle modification in the treatment of obesity, diabetes, and cardiometabolic risk prevention: a pilot study (PREDIRCAM 1)
Background:
Healthy diet and regular physical activity are powerful tools in reducing diabetes and cardiometabolic risk.
Various international scientific and health organizations have advocated the use of new technologies to solve
these problems. The PREDIRCAM project explores the contribution that a technological system could offer for
the continuous monitoring of lifestyle habits and individualized treatment of obesity as well as cardiometabolic
risk prevention.
Methods:
PREDIRCAM is a technological platform for patients and professionals designed to improve the effectiveness
of lifestyle behavior modifications through the intensive use of the latest information and communication
technologies. The platform consists of a web-based application providing communication interface with
monitoring devices of physiological variables, application for monitoring dietary intake, ad hoc electronic
medical records, different communication channels, and an intelligent notification system. A 2-week feasibility
study was conducted in 15 volunteers to assess the viability of the platform.
Results:
The website received 244 visits (average time/session: 17 min 45 s). A total of 435 dietary intakes were recorded
(average time for each intake registration, 4 min 42 s ± 2 min 30 s), 59 exercises were recorded in 20 heart
rate monitor downloads, 43 topics were discussed through a forum, and 11 of the 15 volunteers expressed a
favorable opinion toward the platform. Food intake recording was reported as the most laborious task. Ten of
the volunteers considered long-term use of the platform to be feasible.
Conclusions:
The PREDIRCAM platform is technically ready for clinical evaluation. Training is required to use the platform
and, in particular, for registration of dietary food intake
Toward Telemonitoring in Immune-Mediated Inflammatory Diseases: Protocol for a Mixed Attention Model Study
Background: Rheumatic and musculoskeletal diseases (RMDs) are chronic diseases that may alternate between asymptomatic periods and flares. These conditions require complex treatments and close monitoring by rheumatologists to mitigate their effects and improve the patient's quality of life. Often, delays in outpatient consultations or the patient's difficulties in keeping appointments make such close follow-up challenging. For this reason, it is very important to have open communication between patients and health professionals. In this context, implementing telemonitoring in the field of rheumatology has great potential, as it can facilitate the close monitoring of patients with RMDs. The use of these tools helps patients self -manage certain aspects of their disease. This could result in fewer visits to emergency departments and consultations, as well as enable better therapeutic compliance and identification of issues that would otherwise go unnoticed. Objective: The main objective of this study is to evaluate the implementation of a hybrid care model called the mixed attention model (MAM) in clinical practice and determine whether its implementation improves clinical outcomes compared to conventional follow-up. Methods: This is a multicenter prospective observational study involving 360 patients with rheumatoid arthritis (RA) and spondylarthritis (SpA) from 5 Spanish hospitals. The patients will be followed up by the MAM protocol, which is a care model that incorporates a digital tool consisting of a mobile app that patients can use at home and professionals can review asynchronously to detect incidents and follow patients' clinical evolution between face-to-face visits. Another group of patients, whose follow-up will be conducted in accordance with a traditional face-to-face care model, will be assessed as the control group. Sociodemographic characteristics, treatments, laboratory parameters, assessment of tender and swollen joints, visual analog scale for pain, and electronic patient -reported outcome (ePRO) reports will be collected for all participants. In the MAM group, these items will be self -assessed via both the mobile app and during face-to-face visits with the rheumatologist, who will do the same for patients included in the traditional care model. The patients will be able to report any incidence related to their disease or treatment through the mobile app. Results: Participant recruitment began in March 2024 and will continue until December 2024. The follow-up period will be extended by 12 months for all patients. Data collection and analysis are scheduled for completion in December 2025. Conclusions: This paper aims to provide a detailed description of the development and implementation of a digital solution, specifically an MAM. The goal is to achieve significant economic and psychosocial impact within our health care system by enhancing control over RMD
Proyecto PREDIRCAM 2. Análisis preliminar de uso y valoración de la plataforma
En la actualidad, la prevalencia de las enfermedades no transmisibles (Non-communicable diseases NCD) y la cantidad de muertes causadas por éstas es muy elevada, en su mayoría, consecuencia del envejecimiento de la población, el aumento de la obesidad y los hábitos de vida sedentarios. En este trabajo se describen el funcionamiento y los resultados preliminares del proyecto Predircam 2, destinado al desarrollo y validación de una plataforma inteligente de tecnologías biomédicas para la monitorización, prevención y tratamiento personalizados del sobrepeso, la obesidad y la prevención de enfermedades asociadas como la diabetes, hipertensión arterial o alteraciones del metabolismo lipídico. El objetivo de este trabajo es presentar los resultados preliminares del análisis del uso de la plataforma, la evaluación de la usabilidad y la valoración de la atención recibida por los pacientes en relación a los profesionales sanitarios