RESUMO
INTRODUCTION: The integration of remote specialists into local care teams has not been widely evaluated. METHODS: Therefore, we surveyed clinicians whose patients with Parkinson's disease had participated in a national randomized controlled trial of video visits to determine (1) whether clinicians received recommendations from remote specialists; (2) whether those recommendations were implemented; (3) what barriers to specialty care local clinicians perceived; and (4) whether they would recommend video visits. RESULTS: Of 183 clinicians surveyed, 89 (49%) responded. Less than half received the recommendations of remote specialists, but they implemented most of the recommendations they received and found them to be beneficial. CONCLUSION: The greatest perceived barrier among respondents was distance from patient to specialist, and 40% of local clinicians would recommend video visits. As telemedicine grows, improved communication between remote specialists and local clinicians is likely needed.
Assuntos
Neurologia/organização & administração , Doença de Parkinson/terapia , Telemedicina/organização & administração , Comunicação por Videoconferência/organização & administração , Atitude do Pessoal de Saúde , Humanos , Neurologia/estatística & dados numéricos , Satisfação do Paciente , Consulta Remota , Telemedicina/estatística & dados numéricos , Viagem , Comunicação por Videoconferência/estatística & dados numéricosRESUMO
Phenotype is the set of observable traits of an organism or condition. While advances in genetics, imaging, and molecular biology have improved our understanding of the underlying biology of Parkinson's disease (PD), clinical phenotyping of PD still relies primarily on history and physical examination. These subjective, episodic, categorical assessments are valuable for diagnosis and care but have left gaps in our understanding of the PD phenotype. Sensors can provide objective, continuous, real-world data about the PD clinical phenotype, increase our knowledge of its pathology, enhance evaluation of therapies, and ultimately, improve patient care. In this paper, we explore the concept of deep phenotyping-the comprehensive assessment of a condition using multiple clinical, biological, genetic, imaging, and sensor-based tools-for PD. We discuss the rationale for, outline current approaches to, identify benefits and limitations of, and consider future directions for deep clinical phenotyping.