Feasibility study of a 10-week community-based program using the WalkWithMe application on physical activity, walking, fatigue and cognition in persons with Multiple Sclerosis

Geel, Fanny Van; Geurts, Eva; Abasıyanık, Zuhal; Coninx, Karin; Feys, Peter

doi:10.1016/j.msard.2020.102067

Cited by 16 publications

(12 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Thirty studies about the use of mHealth for rehabilitation interventions of pwMS were included in this review, representing a total of 1962 patients [ 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 ]. The majority of these studies ( n = 25; 3%) were RCTs.…”

Section: Resultsmentioning

confidence: 99%

“…WalkWithMe [ 50 ] has been developed to motivate and stimulate patients to walk more and farther. It allows to track the walking activities and follow up on progress.…”

Section: Resultsmentioning

confidence: 99%

“…Van Geel et al reported that using the WalkWithMe app induced a significant improvement in quality of life, walking, and leisure, 36-Item Short-Form Health Survey (SF-36) quality of life, cognition, cognitive fatigability, lower limb strength, and dominant hand function. However, it was an observational study without a control group [ 50 ].…”

Section: Resultsmentioning

confidence: 99%

“…Cognition BrainHQ [27,32,39,41,42] Lumosity [26] RehaCom [24,30,33] BrainStim [28] COGNI-TRAcK [31] MAPPS-MS * [35] APT [25] MS-HAT [43] Walk-With-Me [50] AKL-T03 [51] MSdialog [55] Floodlight [57] Fatigue RehaCom [24,33] ELEVEDIA [37] MAPPS-MS [35] SitLess and MoveMore [46] Walk-With-Me [50] AKL-T03 [51] MSdialog [55] MS TeleCoach [56] FatigueApp.com [58] Quality of Life ELEVEDIA [37] MBSR [38] MS-HAT [43] webbasedphysio.com [47] RehaCom [48] RELAXaHEAD [49] Walk-With-Me [50] MCCO-enhanced [54] ElevateMS [59] Activity Level MS-HAT system [34] SitLess and MoveMore [46] Walk-With-Me [50] Floodlight [57] ElevateMS [59] Motor Function MS-HAT system [34,43] webbasedphysio.com [47] / * The cognitive training module of MAPPS-MS is done with Luminosity.…”

Section: Rehabilitation Self-assessmentmentioning

confidence: 99%

See 3 more Smart Citations

Is mHealth a Useful Tool for Self-Assessment and Rehabilitation of People with Multiple Sclerosis? A Systematic Review

et al. 2021

Self Cite

View full text Add to dashboard Cite

The development of mobile technology and mobile Internet offers new possibilities in rehabilitation and clinical assessment in a longitudinal perspective for multiple sclerosis management. However, because the mobile health applications (mHealth) have only been developed recently, the level of evidence supporting the use of mHealth in people with multiple sclerosis (pwMS) is currently unclear. Therefore, this review aims to list and describe the different mHealth available for rehabilitation and self-assessment of pwMS and to define the level of evidence supporting these interventions for functioning problems categorized within the International Classification of Functioning, Disability and Health (ICF). In total, 36 studies, performed with 22 different mHealth, were included in this review, 30 about rehabilitation and six for self-assessment, representing 3091 patients. For rehabilitation, most of the studies were focusing on cognitive function and fatigue. Concerning the efficacy, we found a small but significant effect of the use of mHealth for cognitive training (Standardized Mean Difference (SMD) = 0.28 [0.12; 0.45]) and moderate effect for fatigue (SMD = 0.61 [0.47; 0.76]). mHealth is a promising tool in pwMS but more studies are needed to validate these solutions in the other ICF categories. More replications studies are also needed as most of the mHealth have only been assessed in one single study.

show abstract

Section: Resultsmentioning

confidence: 99%

“…WalkWithMe [ 50 ] has been developed to motivate and stimulate patients to walk more and farther. It allows to track the walking activities and follow up on progress.…”

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Rehabilitation Self-assessmentmentioning

confidence: 99%

See 2 more Smart Citations

Is mHealth a Useful Tool for Self-Assessment and Rehabilitation of People with Multiple Sclerosis? A Systematic Review

et al. 2021

Self Cite

View full text Add to dashboard Cite

show abstract

“…BrainHQ [27,32,39,41,42] Lumosity [26] RehaCom [24,30,33] BrainStim [28] COGNI-TRAcK [31] MAPPS-MS* [35] APT [25] MS-HAT [43] Walk-With-Me [50] AKL-T03 [51] MSdialog [55] Floodlight [57] Fatigue RehaCom [24,33] ELEVEDIA [37] MAPPS-MS [35] SitLess & MoveMore [46] Walk-With-Me [50] AKL-T03 [51] MSdialog [55] MS TeleCoach [56] FatigueApp.com [58] Quality of Life ELEVEDIA [37] MBSR [38] MS-HAT [43] webbasedphysio.com [47] RehaCom [48] RELAXaHEAD [49] Walk-With-Me [50] MCCO-enhanced [54] ElevateMS [59] Activity Level MS-HAT system [34] SitLess & MoveMore [46] Walk-With-Me [50] Floodlight [57] ElevateMS [59] Motor Function MS-HAT system [34,43] webbasedphysio.com [47] / * The cognitive training module of MAPPS-MS is done with Luminosity.…”

Section: Cognitionmentioning

confidence: 99%

Are mHealth a Useful Tool for Self-Assessment and Rehabilitation of People With Multiple Sclerosis? A Review

Bonnechère¹,

Rintala²,

Spooren³

et al. 2021

Preprint

Self Cite

View full text Add to dashboard Cite

The development of mobile technology and internet mobile offers new possibilities in both rehabilitation and for patients’ assessment in a longitudinal and MS management perspective. However, because the mobile health applications (mHealth) have only been developed recently, the level of evidence supporting the use of mHealth in patients with multiple sclerosis (pwMS) is currently unclear. Therefore, this study aims to list and describe the different mHealth available for rehabilitation and self-assessment of pwMS and to define the level of evidence supporting these interventions for functioning problems categorized within the International Classification of Functioning, Disability and Health (ICF). 36 studies, performed with 22 different mHealth, were included in this review, 30 about rehabilitation and 6 for self-assessment, representing 3,091 patients. For rehabilitation, most of the studies were focusing on cognitive function and fatigue. Concerning the efficacy we found a small but significant effect of the use of mHealth for cognitive training (SMD = 0.28 [0.12 ; 0.45]) and moderate effect for fatigue (SMD = 0.61 [0.47 ; 0.76]). mHealth is a promising tool in pwMS but more studies are needed to validate these solutions in the others ICF categories. More replications studies are also needed as most of the mHealth have only been assessed in one single study.

show abstract

Designing personalised mHealth solutions: An overview

Rivera-Romero,

Gabarron,

Ropero

et al. 2023

Journal of Biomedical Informatics

View full text Add to dashboard Cite

Feasibility study of a 10-week community-based program using the WalkWithMe application on physical activity, walking, fatigue and cognition in persons with Multiple Sclerosis

Cited by 16 publications

References 31 publications

Is mHealth a Useful Tool for Self-Assessment and Rehabilitation of People with Multiple Sclerosis? A Systematic Review

Is mHealth a Useful Tool for Self-Assessment and Rehabilitation of People with Multiple Sclerosis? A Systematic Review

Are mHealth a Useful Tool for Self-Assessment and Rehabilitation of People With Multiple Sclerosis? A Review

Designing personalised mHealth solutions: An overview

Contact Info

Product

Resources

About