Evidence Based Patient Information and Smartphone Accelerometry to Enhance Physical Activity in MS

Status unknownNot a drug-phase studyProgressive MSNCT03114293

What it found

Paper found, not read

A paper reports the results; we have not read it yet. See Papers below.

What was tested

Treatment tested

  • Smartphone App

What it measured

Main measures

  • Rate of responders

    3 Months

    Physical function

Other measures (6)

  • Physical activity: total activity

    3 Months

    Walking and mobilityPhysical function
  • Physical activity: distance per day

    3 Months

    Walking and mobilityPhysical function
  • Physical activity: number of steps per day

    3 Months

    Walking and mobilityPhysical function
  • Questionnaires on quality of life (QoL, HAQUAMS)

    3 Months

    Quality of life (reported by participants)
  • Questionnaires on activities of daily living (ADL)

    3 Months

  • Questionnaires on physical activity

    3 Months

    Physical function

Who could take part

Progressive MS · 18 to 65

Show the full criteria

Inclusion criteria

* progressive MS

Exclusion criteria

* other major health disorder * EDSS above 6

As registered. Criteria can change, so ask the trial team or your neurologist.

About this trial

In the sponsor's words

Due to their ubiquitary distribution, smartphones might serve as an easy way/ possibility to use feedback mechanism in an app-based intervention program to increase physical activity in Multiple Sclerosis (MS) patients. Internet based cognitive-behavioral interventions have been explored as effective in the last years. In addition, smartphone-based mobility assessment and intervention might be a promising approach in other MS types and for real-life mobility assessment in observational and interventional trials. The aim is to investigate the impact of a smartphone based information and feedback program on physical activity in a 3 months, randomised waiting-group controlled trial of 40 progressive MS patients.

Papers

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History

    1. Started

      Apr 2016

    2. Main results due

      May 2017

    3. Finished

      May 2017

    Assembled by software from public sources.