Your browser doesn't support javascript.
loading
A roadmap for implementation of patient-centered digital outcome measures in Parkinson's disease obtained using mobile health technologies.
Espay, Alberto J; Hausdorff, Jeffrey M; Sánchez-Ferro, Álvaro; Klucken, Jochen; Merola, Aristide; Bonato, Paolo; Paul, Serene S; Horak, Fay B; Vizcarra, Joaquin A; Mestre, Tiago A; Reilmann, Ralf; Nieuwboer, Alice; Dorsey, E Ray; Rochester, Lynn; Bloem, Bastiaan R; Maetzler, Walter.
Afiliação
  • Espay AJ; James J. and Joan A. Gardner Family Center for Parkinson's Disease and Movement Disorders, University of Cincinnati, Cincinnati, Ohio, USA.
  • Hausdorff JM; Center for the Study of Movement, Cognition, and Mobility, Department of Neurology, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.
  • Sánchez-Ferro Á; Department of Physical Therapy, Sackler Faculty of Medicine and Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel.
  • Klucken J; Rush Alzheimer's Disease Center and Department of Orthopedic Surgery, Rush University, Chicago, Illinois, USA.
  • Merola A; HM CINAC, Hospital Universitario HM Puerta del Sur, Móstoles, Madrid, Spain.
  • Bonato P; Department of Molecular Neurology, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany.
  • Paul SS; Fraunhofer Institut for Integrated Circuits, Digital Health Pathway Research Group, Erlangen, Germany.
  • Horak FB; James J. and Joan A. Gardner Family Center for Parkinson's Disease and Movement Disorders, University of Cincinnati, Cincinnati, Ohio, USA.
  • Vizcarra JA; Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, Massachusetts, USA.
  • Mestre TA; Discipline of Physiotherapy, Faculty of Health Sciences, The University of Sydney, Sydney, New South Wales, Australia.
  • Reilmann R; Department of Neurology, Oregon Health & Science University, Portland Veterans Affairs Medical System, Portland, Oregon, USA.
  • Nieuwboer A; APDM, Inc, Portland, Oregon, USA.
  • Dorsey ER; James J. and Joan A. Gardner Family Center for Parkinson's Disease and Movement Disorders, University of Cincinnati, Cincinnati, Ohio, USA.
  • Rochester L; Parkinson's Disease and Movement Disorders Center, Division of Neurology, Department of Medicine, The Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON, Canada.
  • Bloem BR; George-Huntington-Institute, Technology Park, Muenster, Germany.
  • Maetzler W; Department of Radiology, University of Muenster, Muenster, Germany.
Mov Disord ; 34(5): 657-663, 2019 05.
Article em En | MEDLINE | ID: mdl-30901495
Obtaining reliable longitudinal information about everyday functioning from individuals with Parkinson's disease (PD) in natural environments is critical for clinical care and research. Despite advances in mobile health technologies, the implementation of digital outcome measures is hindered by a lack of consensus on the type and scope of measures, the most appropriate approach for data capture (eg, in clinic or at home), and the extraction of timely information that meets the needs of patients, clinicians, caregivers, and health care regulators. The Movement Disorder Society Task Force on Technology proposes the following objectives to facilitate the adoption of mobile health technologies: (1) identification of patient-centered and clinically relevant digital outcomes; (2) selection criteria for device combinations that offer an acceptable benefit-to-burden ratio to patients and that deliver reliable, clinically relevant insights; (3) development of an accessible, scalable, and secure platform for data integration and data analytics; and (4) agreement on a pathway for approval by regulators, adoption into e-health systems and implementation by health care organizations. We have developed a tentative roadmap that addresses these needs by providing the following deliverables: (1) results and interpretation of an online survey to define patient-relevant endpoints, (2) agreement on the selection criteria for use of device combinations, (3) an example of an open-source platform for integrating mobile health technology output, and (4) recommendations for assessing readiness for deployment of promising devices and algorithms suitable for regulatory approval. This concrete implementation guidance, harmonizing the collaborative endeavor among stakeholders, can improve assessments of individuals with PD, tailor symptomatic therapy, and enhance health care outcomes. © 2019 International Parkinson and Movement Disorder Society.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doença de Parkinson / Telemedicina / Avaliação de Resultados da Assistência ao Paciente / Smartphone / Dispositivos Eletrônicos Vestíveis Tipo de estudo: Guideline / Prognostic_studies / Sysrev_observational_studies Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doença de Parkinson / Telemedicina / Avaliação de Resultados da Assistência ao Paciente / Smartphone / Dispositivos Eletrônicos Vestíveis Tipo de estudo: Guideline / Prognostic_studies / Sysrev_observational_studies Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article