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

doi:10.2196/mhealth.6192

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: Contribution to journal › Article › peer-review

Abstract

BACKGROUND:Fatigue is one of the most commonly reported symptoms of multiple sclerosis (MS). It has a profound impact on all spheres of life, for people with MS and their relatives. It is one of the key precipitants of early retirement. Individual, group, and Internet cognitive behavioral therapy-based approaches to supporting people with MS to manage their fatigue have been shown to be effective. OBJECTIVE:The aim of this project was to (1) survey the types of mobile devices and level of Internet access people with MS use or would consider using for a health intervention and (2) characterize the levels of fatigue severity and their impact experienced by the people in our sample to provide an estimate of fatigue severity of people with MS in New Zealand. The ultimate goal of this work was to support the future development of a mobile intervention for the management of fatigue for people with MS. METHODS:Survey methodology using an online questionnaire was used to assess people with MS. A total of 51 people with MS participated. The average age was 48.5 years, and the large majority of the sample (77%) was female. RESULTS:Participants reported significant levels of fatigue as measured with the summary score of the Neurological Fatigue Index (mean 31.4 [SD 5.3]). Most (84%) respondents scored on average more than 3 on the fatigue severity questions, reflecting significant fatigue. Mobile phone usage was high with 86% of respondents reporting having a mobile phone; apps were used by 75% of respondents. Most participants (92%) accessed the Internet from home. CONCLUSIONS:New Zealand respondents with MS experienced high levels of both fatigue severity and fatigue impact. The majority of participants have a mobile device and access to the Internet. These findings, along with limited access to face-to-face cognitive behavioral therapy-based interventions, create an opportunity to develop a mobile technology platform for delivering a cognitive behavioral therapy-based intervention to decrease the severity and impact of fatigue in people with MS.

Original language	English
Journal	Journal of Medical Internet Research
Volume	5
Issue number	2
DOIs	https://doi.org/10.2196/mhealth.6192
Publication status	Published - 28 Feb 2017

Bibliographical note

© Kirsten Van Kessel, Duncan R Babbage, Nicholas Reay, Warren M Miner-Williams, Paula Kersten. Originally published in JMIR Mhealth and Uhealth (http://mhealth.jmir.org), 28.02.2017. This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR mhealth and uhealth, is properly cited. The complete bibliographic information, a link to the original publication on http://mhealth.jmir.org/, as well as this copyright and license information must be included.

Keywords

app
cognitive behavioral therapy
fatigue
intervention
mobile phone technology
multiple sclerosis
symptoms

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Cite this

@article{0083607bb59447e9b62a006d07d13c94,

title = "Mobile technology use by people experiencing multiple sclerosis fatigue: a survey",

abstract = "BACKGROUND:Fatigue is one of the most commonly reported symptoms of multiple sclerosis (MS). It has a profound impact on all spheres of life, for people with MS and their relatives. It is one of the key precipitants of early retirement. Individual, group, and Internet cognitive behavioral therapy-based approaches to supporting people with MS to manage their fatigue have been shown to be effective. OBJECTIVE:The aim of this project was to (1) survey the types of mobile devices and level of Internet access people with MS use or would consider using for a health intervention and (2) characterize the levels of fatigue severity and their impact experienced by the people in our sample to provide an estimate of fatigue severity of people with MS in New Zealand. The ultimate goal of this work was to support the future development of a mobile intervention for the management of fatigue for people with MS. METHODS:Survey methodology using an online questionnaire was used to assess people with MS. A total of 51 people with MS participated. The average age was 48.5 years, and the large majority of the sample (77%) was female. RESULTS:Participants reported significant levels of fatigue as measured with the summary score of the Neurological Fatigue Index (mean 31.4 [SD 5.3]). Most (84%) respondents scored on average more than 3 on the fatigue severity questions, reflecting significant fatigue. Mobile phone usage was high with 86% of respondents reporting having a mobile phone; apps were used by 75% of respondents. Most participants (92%) accessed the Internet from home. CONCLUSIONS:New Zealand respondents with MS experienced high levels of both fatigue severity and fatigue impact. The majority of participants have a mobile device and access to the Internet. These findings, along with limited access to face-to-face cognitive behavioral therapy-based interventions, create an opportunity to develop a mobile technology platform for delivering a cognitive behavioral therapy-based intervention to decrease the severity and impact of fatigue in people with MS.",

keywords = "app, cognitive behavioral therapy, fatigue, intervention, mobile phone technology, multiple sclerosis, symptoms",

author = "{Van Kessel}, K. and D.R. Babbage and N. Reay and Miner-Williams, {Warren M.} and Paula Kersten",

note = "{\textcopyright} Kirsten Van Kessel, Duncan R Babbage, Nicholas Reay, Warren M Miner-Williams, Paula Kersten. Originally published in JMIR Mhealth and Uhealth (http://mhealth.jmir.org), 28.02.2017. This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR mhealth and uhealth, is properly cited. The complete bibliographic information, a link to the original publication on http://mhealth.jmir.org/, as well as this copyright and license information must be included.",

year = "2017",

month = feb,

day = "28",

doi = "10.2196/mhealth.6192",

language = "English",

volume = "5",

journal = "Journal of Medical Internet Research",

issn = "1439-4456",

number = "2",

}

TY - JOUR

T1 - Mobile technology use by people experiencing multiple sclerosis fatigue: a survey

AU - Van Kessel, K.

AU - Babbage, D.R.

AU - Reay, N.

AU - Miner-Williams, Warren M.

AU - Kersten, Paula

N1 - © Kirsten Van Kessel, Duncan R Babbage, Nicholas Reay, Warren M Miner-Williams, Paula Kersten. Originally published in JMIR Mhealth and Uhealth (http://mhealth.jmir.org), 28.02.2017. This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR mhealth and uhealth, is properly cited. The complete bibliographic information, a link to the original publication on http://mhealth.jmir.org/, as well as this copyright and license information must be included.

PY - 2017/2/28

Y1 - 2017/2/28

N2 - BACKGROUND:Fatigue is one of the most commonly reported symptoms of multiple sclerosis (MS). It has a profound impact on all spheres of life, for people with MS and their relatives. It is one of the key precipitants of early retirement. Individual, group, and Internet cognitive behavioral therapy-based approaches to supporting people with MS to manage their fatigue have been shown to be effective. OBJECTIVE:The aim of this project was to (1) survey the types of mobile devices and level of Internet access people with MS use or would consider using for a health intervention and (2) characterize the levels of fatigue severity and their impact experienced by the people in our sample to provide an estimate of fatigue severity of people with MS in New Zealand. The ultimate goal of this work was to support the future development of a mobile intervention for the management of fatigue for people with MS. METHODS:Survey methodology using an online questionnaire was used to assess people with MS. A total of 51 people with MS participated. The average age was 48.5 years, and the large majority of the sample (77%) was female. RESULTS:Participants reported significant levels of fatigue as measured with the summary score of the Neurological Fatigue Index (mean 31.4 [SD 5.3]). Most (84%) respondents scored on average more than 3 on the fatigue severity questions, reflecting significant fatigue. Mobile phone usage was high with 86% of respondents reporting having a mobile phone; apps were used by 75% of respondents. Most participants (92%) accessed the Internet from home. CONCLUSIONS:New Zealand respondents with MS experienced high levels of both fatigue severity and fatigue impact. The majority of participants have a mobile device and access to the Internet. These findings, along with limited access to face-to-face cognitive behavioral therapy-based interventions, create an opportunity to develop a mobile technology platform for delivering a cognitive behavioral therapy-based intervention to decrease the severity and impact of fatigue in people with MS.

AB - BACKGROUND:Fatigue is one of the most commonly reported symptoms of multiple sclerosis (MS). It has a profound impact on all spheres of life, for people with MS and their relatives. It is one of the key precipitants of early retirement. Individual, group, and Internet cognitive behavioral therapy-based approaches to supporting people with MS to manage their fatigue have been shown to be effective. OBJECTIVE:The aim of this project was to (1) survey the types of mobile devices and level of Internet access people with MS use or would consider using for a health intervention and (2) characterize the levels of fatigue severity and their impact experienced by the people in our sample to provide an estimate of fatigue severity of people with MS in New Zealand. The ultimate goal of this work was to support the future development of a mobile intervention for the management of fatigue for people with MS. METHODS:Survey methodology using an online questionnaire was used to assess people with MS. A total of 51 people with MS participated. The average age was 48.5 years, and the large majority of the sample (77%) was female. RESULTS:Participants reported significant levels of fatigue as measured with the summary score of the Neurological Fatigue Index (mean 31.4 [SD 5.3]). Most (84%) respondents scored on average more than 3 on the fatigue severity questions, reflecting significant fatigue. Mobile phone usage was high with 86% of respondents reporting having a mobile phone; apps were used by 75% of respondents. Most participants (92%) accessed the Internet from home. CONCLUSIONS:New Zealand respondents with MS experienced high levels of both fatigue severity and fatigue impact. The majority of participants have a mobile device and access to the Internet. These findings, along with limited access to face-to-face cognitive behavioral therapy-based interventions, create an opportunity to develop a mobile technology platform for delivering a cognitive behavioral therapy-based intervention to decrease the severity and impact of fatigue in people with MS.

KW - app

KW - cognitive behavioral therapy

KW - fatigue

KW - intervention

KW - mobile phone technology

KW - multiple sclerosis

KW - symptoms

U2 - 10.2196/mhealth.6192

DO - 10.2196/mhealth.6192

M3 - Article

SN - 1439-4456

VL - 5

JO - Journal of Medical Internet Research

JF - Journal of Medical Internet Research

IS - 2

ER -

Mobile technology use by people experiencing multiple sclerosis fatigue: a survey

Abstract

Bibliographical note

Keywords

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