Search

Objective To systematically map the current evidence about the characteristics of health systems, providers and patients to design rehabilitation care for post coronavirus disease 2019 (COVID-19) condition. Methods We conducted a scoping review by searching the databases: MEDLINE[R], Embase[R], Web of Science, Cochrane COVID-19 Registry and Cochrane Central Register of Controlled Trials, from inception to 22 April 2022. The search strategy included terms related to (i) post COVID-19 condition and other currently known terminologies; (ii) care models and pathways; and (iii) rehabilitation. We applied no language or study design restrictions. Two pairs of researchers independently screened title, abstracts and full-text articles and extracted data. We charted the evidence according to five topics: (i) care model components and functions; (ii) safe delivery of rehabilitation; (iii) referral principles; (iv) service delivery settings; and (v) health-care professionals. Findings We screened 13 753 titles and abstracts, read 154 full-text articles, and included 37 articles. The current evidence is conceptual and expert based. Care model components included multidisciplinary teams, continuity or coordination of care, people-centred care and shared decision-making between clinicians and patients. Care model functions included standardized symptoms assessment, telehealth and virtual care and follow-up system. Rehabilitation services were integrated at all levels of a health system from primary care to tertiary hospital-based care. Health-care workers delivering services within a multidisciplinary team included mostly physiotherapists, occupational therapists and psychologists. Conclusion Key policy messages include implementing a multilevel and multiprofessional model; leveraging country health systems' strengths and learning from other conditions; financing rehabilitation research providing standardized outcomes; and guidance to increase patient safety. Objectif Recenser systematiquement les donnees probantes actuelles concernant les caracteristiques des systemes de sante, prestataires et patients afin de definir un modele de readaptation pour les affections consecutives a la maladie a coronavirus 2019 (COVID-19). Methodes Nous avons mene une analyse exploratoire en etudiant plusieurs bases de donnees: MEDLINE[R], Embase[R], Web of Science, Registre Cochrane des etudes sur la COVID-19 et Registre central Cochrane des essais controles, depuis le debut et jusqu'au 22 avril 2022. La strategie de recherche consistait a inclure des termes en lien avec (i) les affections post-COVID-19 et d'autres terminologies connues a ce jour; (ii) les modeles et parcours de soins; et enfin, (iii) la readaptation. Nous n'avons applique aucune restriction de langue ou de format d'etude. Deux binomes de chercheurs ont passe au crible les titres, resumes et articles complets, independamment l'un de l'autre, pour ensuite en extraire des informations. Nous avons etabli une grille de donnees probantes autour de cinq themes: (i) elements et fonctions des modeles de soins; (ii) fourniture de services de readaptation surs; (iii) principes de reference; (iv) lieux de prestation des services; et enfin, (v) professionnels de la sante. Resultats Nous avons examine 13 753 titres et resumes, lu 154 articles complets et inclus 37 d'entre eux. Les donnees probantes actuelles reposent sur des concepts et expertises. Les elements des modeles de soins impliquent des equipes multidisciplinaires, une continuite ou une coordination des soins, des prestations axees sur l'humain et une prise de decision partagee entre medecins et patients. Parmi les fonctions des modeles de soins figurent l'evaluation standardisee des symptomes, la telemedecine et les soins virtuels, ainsi que le mecanisme de suivi. Les services de readaptation sont presents a tous les niveaux du systeme de sante, des soins primaires aux soins tertiaires en milieu hospitalier. Les equipes multidisciplinaires en charge de la readaptation sont principalement composees de kinesitherapeutes, d'ergotherapeutes et de psychologues. Conclusion Cette demarche vehicule d'importants messages politiques: la mise en oeuvre d'un modele comprenant plusieurs niveaux et professions; une valorisation des atouts du systeme sanitaire en vigueur dans le pays, ainsi qu'une pratique qui s'inspire d'autres affections; le financement de recherches sur la readaptation afin de parvenir a des resultats standardises; et enfin, des conseils pour ameliorer la securite des patients. Objetivo Esbozar de manera sistematica la evidencia actual sobre las caracteristicas de los sistemas sanitarios, los proveedores y los pacientes con el fin de disenar la atencion de rehabilitacion para la afeccion posterior a la enfermedad por coronavirus de 2019 (COVID-19). Metodos Se realizo una revision exploratoria mediante busquedas en las bases de datos: MEDLINE[R], Embase[R], Web of Science, Registro Cochrane COVID-19 y Registro Cochrane Central de Ensayos Controlados, desde su inicio hasta el 22 de abril de 2022. La estrategia de busqueda incluyo terminos relacionados con (i) afeccion posterior a la COVID-19 y otras terminologias que se conocen en la actualidad; (ii) modelos y vias de atencion; y (iii) rehabilitacion. No se aplico ninguna restriccion de idioma o de diseno del estudio. Dos pares de investigadores revisaron de forma independiente el titulo, los resumenes y los articulos de texto completo y extrajeron los datos. Se clasifico la evidencia de acuerdo con cinco temas: (i) componentes y funciones del modelo de atencion; (ii) prestacion segura de la rehabilitacion; (iii) principios de derivacion; (iv) entornos de prestacion de servicios; y (v) profesionales sanitarios. Resultados Se revisaron 13 753 titulos y resumenes, se leyeron 154 articulos de texto completo y se incluyeron 37 articulos. La evidencia actual es conceptual y de especialistas. Los componentes de los modelos de atencion incluyeron equipos multidisciplinarios, continuidad o coordinacion de la atencion, atencion orientada a las personas y toma de decisiones compartida entre los medicos y los pacientes. Las funciones del modelo de atencion incluyeron la evaluacion estandarizada de los sintomas, la telemedicina y el sistema de atencion y seguimiento virtual. Los servicios de rehabilitacion se integraron en todos los niveles de un sistema sanitario, desde la atencion primaria hasta la atencion hospitalaria terciaria. El personal sanitario que prestaba servicios dentro de un equipo multidisciplinar incluia en su mayoria fisioterapeutas, terapeutas ocupacionales y psicologos. Conclusion Los mensajes de politicas mas importantes incluyen la aplicacion de un modelo multinivel y multiprofesional; el aprovechamiento de las fortalezas del sistema sanitario del pais y el aprendizaje de otras afecciones; la financiacion de la investigacion en materia de rehabilitacion que proporcione resultados estandarizados; y la orientacion para aumentar la seguridad de los pacientes., Introduction People living with post coronavirus disease 2019 (COVID-19) condition, first described as long COVID, need recognition and rehabilitation. (1) The World Health Organization (WHO) has created a definition for [...]

Over the past few years, there has been a noticeable surge in efforts to design novel tools and approaches that incorporate Artificial Intelligence (AI) into rehabilitation of persons with lower-limb impairments, using robotic exoskeletons. The potential benefits include the ability to implement personalized rehabilitation therapies by leveraging AI for robot control and data analysis, facilitating personalized feedback and guidance. Despite this, there is a current lack of literature review specifically focusing on AI applications in lower- limb rehabilitative robotics. To address this gap, our work aims at performing a review of 37 peer-reviewed papers. This review categorizes selected papers based on robotic application scenarios or AI methodologies. Additionally, it uniquely contributes by providing a detailed summary of input features, AI model performance, enrolled populations, exoskeletal systems used in the validation process, and specific tasks for each paper. The innovative aspect lies in offering a clear understanding of the suitability of different algorithms for specific tasks, intending to guide future developments and support informed decision-making in the realm of lower-limb exoskeleton and AI applications. [ABSTRACT FROM AUTHOR]