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MOTOR

Loss of mobility in knee osteoarthritis (OA) has major implications for daily life activities. Considering the clinical heterogeneity of the disease there is clearly a need for a personalised approach tailored to the needs of patients. An objective tool to monitor mobility using wearable sensors can provide rich information for clinical practice. The overarching goal of this project is to develop a mobility tool for tailored treatment decision to the individual knee OA patient.

We will work with a consortium consisting of the Sint Maartenskliniek, Radboudumc, University of Twente and Smith & Nephew, in 4 work packages:

 

WP 1: Clinical Mobility Tool

In this work package, we will focus on developing a platform and application to easily collect mobility data in clinic and remotely with wearable sensors, and designing optimal user interfaces to facilitate the routine use of the mobility outcomes during clinical consultations between physician and patient. A key component of this work package is also to integrate the mobility application with the hospital IT infrastructure to be able to embed the mobility outcomes in the electronic patient record.

 

WP2: In-clinic and remote mobility algorithms

We will develop and validate the algorithms that will be used in the Mobility Tool to process the raw data from the inertial sensors to meaningful mobility outcomes.

 

WP3: Data to support clinical decision-making This work package contains studies to identify distinct progress of recovery trajectories of people with knee OA receiving treatment in primary care or undergoing total joint arthroplasty. Secondly, predictors of membership to the identified trajectories will be analysed. Thirdly, we will provide a subgroup of participants with sensors to be during daily life for 3-5 days to monitor mobility to increase ecological validity. These mobility measurements will be complemented with patient-reported pain and fatigue scores to provide a rich data set.

 

WP4: Dissemination and future implementation The Mobility tool will be designed to be used in other clinical settings, such as other orthopaedic departments, but also in other disease populations. As loss of mobility occurs in many different diseases, we expect that the Mobility Tool will be a promising application for a wider area. In WP4 an expert panel will discuss and plan the options for wider adaptation of the Mobility Tool, or parts of it. 

WP1 clinical mobility application

 

The projectteam:

  • Katrijn Smulders (Sint Maartenskliniek)
  • Els van den Ende (Sint Maartenskliniek)
  • Noël Keijsers (Sint Maartenskliniek)
  • Jolien Warnar (Sint Maartenskliniek)
  • Carmen Ensink (Sint Maartenskliniek)
  • Remco Hoogendijk (Sint Maartenskliniek)
  • Koen Defoort (Sint Maartenskliniek)
  • Rob den Bieman (Sint Maartenskliniek)
  • Frank Bruning (Sint Maartenskliniek)
  • Sebastiaan van de Groes (Radboudumc)
  • Madelon Vonk (Radboudumc)
  • Peter Veltink (Universiteit Twente)
  • Frodo Muijzer (Universiteit Twente)
  • Ad Lindeman (Smith & Nephew)