Literature DB >> 33191498

Modernizing Daily Function Assessment in Parkinson's Disease Using Capacity, Perception, and Performance Measures.

Walter Maetzler1, Lynn Rochester2, Roongroj Bhidayasiri3, Alberto J Espay4, Alvaro Sánchez-Ferro5, Janet M T van Uem1.   

Abstract

Many disease symptoms restrict the quality of life of the affected. This usually occurs indirectly, at least in most neurological diseases. Here, impaired daily function is interposed between the symptoms and the reduced quality of life. This is reflected in the International Classification of Function, Disability and Health model published by the World Health Organization in 2001. This correlation between symptom, daily function, and quality of life makes it clear that to evaluate the success of a therapy and develop new therapies, daily function must also be evaluated as accurately as possible. However, daily function is a complex construct and therefore difficult to quantify. To date, daily function has been measured primarily by capacity (clinical assessments) and perception (surveys and patient-reported outcomes) assessment approaches. Now, daily function can be captured in a new dimension, that is, performance, through new digital technologies that can be used in the home environment of patients. This viewpoint discusses the differences and interdependencies of capacity, perception, and performance assessment types using the example of Parkinson's disease. Options regarding how future study protocols should be designed to get the most comprehensive and validated picture of daily function in patients are presented.
© 2020 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society. © 2020 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.

Entities:  

Keywords:  ICF model; activities of daily living; digital technologies; perception

Mesh:

Year:  2020        PMID: 33191498     DOI: 10.1002/mds.28377

Source DB:  PubMed          Journal:  Mov Disord        ISSN: 0885-3185            Impact factor:   10.338


  9 in total

1.  A Smartphone Application as an Exploratory Endpoint in a Phase 3 Parkinson's Disease Clinical Trial: A Pilot Study.

Authors:  Alex Page; Norman Yung; Peggy Auinger; Charles Venuto; Alistair Glidden; Eric Macklin; Larsson Omberg; Michael A Schwarzschild; E Ray Dorsey
Journal:  Digit Biomark       Date:  2022-01-10

2.  Will Artificial Intelligence Outperform the Clinical Neurologist in the Near Future? Yes.

Authors:  Roongroj Bhidayasiri
Journal:  Mov Disord Clin Pract       Date:  2021-04-12

3.  Effect of Fear of Falling on Mobility Measured During Lab and Daily Activity Assessments in Parkinson's Disease.

Authors:  Arash Atrsaei; Clint Hansen; Morad Elshehabi; Susanne Solbrig; Daniela Berg; Inga Liepelt-Scarfone; Walter Maetzler; Kamiar Aminian
Journal:  Front Aging Neurosci       Date:  2021-11-30       Impact factor: 5.750

4.  Investigating the Impact of Environment and Data Aggregation by Walking Bout Duration on Parkinson's Disease Classification Using Machine Learning.

Authors:  Rana Zia Ur Rehman; Yu Guan; Jian Qing Shi; Lisa Alcock; Alison J Yarnall; Lynn Rochester; Silvia Del Din
Journal:  Front Aging Neurosci       Date:  2022-03-22       Impact factor: 5.750

5.  Proposal for Post Hoc Quality Control in Instrumented Motion Analysis Using Markerless Motion Capture: Development and Usability Study.

Authors:  Hanna Marie Röhling; Patrik Althoff; Radina Arsenova; Daniel Drebinger; Norman Gigengack; Anna Chorschew; Daniel Kroneberg; Maria Rönnefarth; Tobias Ellermeyer; Sina Cathérine Rosenkranz; Christoph Heesen; Behnoush Behnia; Shigeki Hirano; Satoshi Kuwabara; Friedemann Paul; Alexander Ulrich Brandt; Tanja Schmitz-Hübsch
Journal:  JMIR Hum Factors       Date:  2022-04-01

6.  What contributes most to the SPPB and its subscores in hospitalized geriatric patients: an ICF model-based approach.

Authors:  Jennifer Kudelka; Johanna Geritz; Julius Welzel; Hanna Hildesheim; Corina Maetzler; Kirsten Emmert; Katharina Niemann; Markus A Hobert; Andrea Pilotto; Philipp Bergmann; Walter Maetzler
Journal:  BMC Geriatr       Date:  2022-08-13       Impact factor: 4.070

7.  Technological evaluation of strategies to get out of bed by people with Parkinson's disease: Insights from multisite wearable sensors.

Authors:  Jirada Sringean; Chusak Thanawattano; Roongroj Bhidayasiri
Journal:  Front Med Technol       Date:  2022-08-25

8.  Connecting real-world digital mobility assessment to clinical outcomes for regulatory and clinical endorsement-the Mobilise-D study protocol.

Authors:  A Stefanie Mikolaizak; Lynn Rochester; Walter Maetzler; Basil Sharrack; Heleen Demeyer; Claudia Mazzà; Brian Caulfield; Judith Garcia-Aymerich; Beatrix Vereijken; Valdo Arnera; Ram Miller; Paolo Piraino; Nadir Ammour; Mark Forrest Gordon; Thierry Troosters; Alison J Yarnall; Lisa Alcock; Heiko Gaßner; Jürgen Winkler; Jochen Klucken; Christian Schlenstedt; Henrik Watz; Anne-Marie Kirsten; Ioannis Vogiatzis; Nikolaos Chynkiamis; Emily Hume; Dimitrios Megaritis; Alice Nieuwboer; Pieter Ginis; Ellen Buckley; Gavin Brittain; Giancarlo Comi; Letizia Leocani; Jorunn L Helbostad; Lars Gunnar Johnsen; Kristin Taraldsen; Hubert Blain; Valérie Driss; Anja Frei; Milo A Puhan; Ashley Polhemus; Magda Bosch de Basea; Elena Gimeno; Nicholas S Hopkinson; Sara C Buttery; Jeffrey M Hausdorff; Anat Mirelman; Jordi Evers; Isabel Neatrour; David Singleton; Lars Schwickert; Clemens Becker; Carl-Philipp Jansen
Journal:  PLoS One       Date:  2022-10-06       Impact factor: 3.752

9.  Parkinson's disease multimodal complex treatment improves gait performance: an exploratory wearable digital device-supported study.

Authors:  Raphael Scherbaum; Andreas Moewius; Judith Oppermann; Johanna Geritz; Clint Hansen; Ralf Gold; Walter Maetzler; Lars Tönges
Journal:  J Neurol       Date:  2022-07-21       Impact factor: 6.682

  9 in total

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