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Mobile technology use by people experiencing multiple sclerosis fatigue: a survey
K. Van Kessel
, D.R. Babbage
, N. Reay
, Warren M. Miner-Williams
, Paula Kersten
University of Brighton
Research output
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Contribution to journal
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Article
›
peer-review
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Keyphrases
Cognitive Behavioral Group Therapy
18%
Cognitive Behavioral Therapy
18%
Early Retirement
9%
Fatigue Effect
9%
Fatigue Index
9%
Fatigue Severity Scale
36%
Health Intervention
9%
Internet Access
18%
Internet-delivered Cognitive Behavioural Therapy (iCBT)
9%
Limited Access
9%
Mobile Access
9%
Mobile Devices
18%
Mobile Intervention
9%
Mobile Phone Use
9%
Mobile Technology
9%
Mobile Technology Use
100%
Multiple Sclerosis
100%
New Zealand
18%
Online Questionnaire
9%
Significant Level
9%
Smartphone
9%
Spheres of Life
9%
Supporting People
9%
Survey Methodology
9%
Technology Platform
9%
World Wide Web
9%
Psychology
Cognitive Behavioral Therapy
100%
Economic and Social Development
33%
Mobile Device
66%
Mobile Phones
66%
Nursing and Health Professions
Cognitive Behavioral Therapy
27%
Economic and Social Development
9%
Multiple Sclerosis
100%