Information Needed for Designing a Mobile Application for Increasing Physical Activity in Patients with Multiple Sclerosis
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Abstract
Introduction: Multiple sclerosis (MS) is a chronic degenerative autoimmune disease targeting the central nervous system, causing impairment in both physical and cognitive functioning. There is currently no cure for MS; its treatment is based on symptom management. One way for symptom management is to have physical activity which has been shown to reduce the number, length, and duration of disease relapse and remitting. The opportunities for mobile health use have increased significantly in recent years, largely due to technological advances in mobile applications. This study aims to determine the information needed for designing a mobile application to increase the physical activity of patients with MS.
Materials and Methods: This is a descriptive study that was done in two stages. Participants were a panel of experts. The data collection tool was a researcher-made questionnaire based on the Likert scale with confirmed validity and reliability (Cronbach’s alpha=0.79). Items with an agreement percentage of 50% and more were identified as the required information for the application.
Results: The information requirement were the patient profile (consisted of demographic and clinical information) and application features including education section, physical activity library, reminder system, and fatigue assessment.
Conclusion: The needed information of this program were determined in 2 groups, profile section and app features; The patient's profile includes demographic and clinical information, and the system's features section includes the education section, the physical activity library, the reminder system and the fatigue assessment.
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21. Learmonth YC, Adamson BC, Balto JM, Chiu Cy, Molina‐Guzman I, Finlayson M, et al. Multiple sclerosis patients need and want information on exercise promotion from healthcare providers: a qualitative study. Health Expectations. 2017;20(4):574-83.
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30. Whittaker R. Issues in mHealth: findings from key informant interviews. Journal of medical Internet research. 2012;14(5):e129.
31. Irace C, Schweitzer MA, Tripolino C, Scavelli FB, Gnasso A. Diabetes data management system to improve glycemic control in people with type 1 diabetes: Prospective cohort study. JMIR mHealth and uHealth. 2017;5(11):e170.
32. Lee H, Ghebre R, Le C, Jang YJ, Sharratt M, Yee D. Mobile phone multilevel and multimedia messaging intervention for breast cancer screening: Pilot randomized controlled Trial. JMIR mHealth and uHealth. 2017;5(11):e154.
33. Kang H, Park H-A. A mobile app for hypertension management based on clinical practice guidelines: development and deployment. JMIR mHealth and uHealth. 2016;4(1):e12.
34. Marcolino MS, Oliveira JAQ, D'Agostino M, Ribeiro AL, Alkmim MBM, Novillo-Ortiz D. The impact of mHealth interventions: systematic review of systematic reviews. JMIR mHealth and uHealth. 2018;6(1):e23.
35. Riley WT, Rivera DE, Atienza AA, Nilsen W, Allison SM, Mermelstein R. Health behavior models in the age of mobile interventions: are our theories up to the task? Translational behavioral medicine. 2011;1(1):53-71.
36. Schnall R, Rojas M, Bakken S, Brown W, Carballo-Dieguez A, Carry M, et al. A user-centered model for designing consumer mobile health (mHealth) applications (apps). Journal of biomedical informatics. 2016;60:243-51.
37. Lister C, West JH, Cannon B, Sax T, Brodegard D. Just a fad? Gamification in health and fitness apps. JMIR serious games. 2014;2(2):e9.
2. Mahbubeh S, Holakouie-Naieni K, Mostafavi E, Sahraian MA, Mahmoodi M, Mansournia MA, et al. Spatial Analysis of Multiple Sclerosis Disease in Tehran Metropolitan Zone, Iran, 2001-2012. Iranian journal of public health. 2014;43(5):621.
3. Pugliatti M, Rosati G, Carton H, Riise T, Drulovic J, Vécsei L, et al. The epidemiology of multiple sclerosis in Europe. European journal of Neurology. 2006;13(7):700-22.
4. Karpatkin HI. Multiple sclerosis and exercise: a review of the evidence. International Journal of MS Care. 2005;7(2):36-41.
5. Wu N, Minden SL, Hoaglin DC, Hadden L, Frankel D. Quality of life in people with multiple sclerosis: data from the Sonya Slifka Longitudinal Multiple Sclerosis Study. Journal of health and human services administration. 2007:233-67.
6. McAlpine D, Compston A. McAlpine's multiple sclerosis: Elsevier Health Sciences; 2005.
7. Etemadifar M, Janghorbani M, Shaygannejad V, Ashtari F. Prevalence of multiple sclerosis in Isfahan, Iran. Neuroepidemiology. 2006;27(1):39-44.
8. Sahraian MA, Khorramnia S, Ebrahim MM, Moinfar Z, Lotfi J, Pakdaman H. Multiple sclerosis in Iran: a demographic study of 8,000 patients and changes over time. European neurology. 2010;64(6):331-6.
9. Raeisi R, Mohammadi N, Reza M, Almodaresi SA. The Geographical Distribution of Multiple Sclerosis patients in Kerman City by using Geographic Information System. Health-Based Research. 2017.
10. Olsson T, Barcellos LF, Alfredsson L. Interactions between genetic, lifestyle and environmental risk factors for multiple sclerosis. Nature reviews Neurology. 2017;13(1):25-36.
11. Coyle PK, & Hamaad, M. Multiple Sclerosis. In Neurologic Diseases in
Women. 2nd, editor. New York, NY: Demos Medical Publishing; 2006. 265_87 p.
12. Motl RW, Pilutti LA. The benefits of exercise training in multiple sclerosis. Nature Reviews Neurology. 2012;8(9):487.
13. Motl RW, McAuley E, Snook EM. Physical activity and multiple sclerosis: a meta-analysis. Multiple sclerosis. 2005;11(4):459-63.
14. Motl RW. Lifestyle physical activity in persons with multiple sclerosis: the new kid on the MS block. Multiple Sclerosis Journal. 2014:1352458514525873.
15. Motl RW, Dlugonski D, Wójcicki TR, McAuley E, Mohr DC. Internet intervention for increasing physical activity in persons with multiple sclerosis. Multiple Sclerosis Journal. 2011;17(1):116-28.
16. Ryu S. Book review: mHealth: new horizons for health through mobile technologies: based on the findings of the second global survey on eHealth (global observatory for eHealth series, volume 3). Healthcare Informatics Research. 2012;18(3):231.
17. WeAreSocial. 2017. Special Reports - Digital in 2017: Global Overview [Available from: https://wearesocial.com/special-reports/digital-in-2017-global-overview.
18. Hamine S, Gerth-Guyette E, Faulx D, Green BB, Ginsburg AS. Impact of mHealth chronic disease management on treatment adherence and patient outcomes: a systematic review. Journal of medical Internet research. 2015;17(2):e52.
19. Landtblom A-M, Lang C, Flensner G. The study circle as a tool in multiple sclerosis patient education in Sweden. Patient preference and adherence. 2008;2:225.
20. Giunti G, Kool J, Romero OR, Zubiete ED. Exploring the specific needs of persons with multiple sclerosis for mHealth solutions for physical activity: mixed-methods study. JMIR mHealth and uHealth. 2018;6(2):e37.
21. Learmonth YC, Adamson BC, Balto JM, Chiu Cy, Molina‐Guzman I, Finlayson M, et al. Multiple sclerosis patients need and want information on exercise promotion from healthcare providers: a qualitative study. Health Expectations. 2017;20(4):574-83.
22. Tonheim AN, Babic A. Assessing Information Needs for a Personal Multiple Sclerosis Application. Studies in health technology and informatics. 2018;247:486-90.
23. Costello K, Kennedy P, Scanzillo J. Recognizing nonadherence in patients with multiple sclerosis and maintaining treatment adherence in the long term. The Medscape Journal of Medicine. 2008;10(9):225.
24. Jamieson M, McGee-Lennon M, Cullen B, Brewster S, Evans J, editors. Issues influencing the uptake of smartphone reminder apps for people with acquired brain injury. Proceedings of the 17th International ACM SIGACCESS Conference on Computers & Accessibility; 2015: ACM.
25. Reiner NL, Fischer HR. Care giver data collection and reminder system. Google Patents; 1997.
26. Kendall L, Eschler J, Lozano P, McClure JB, Vizer LM, Ralston JD, et al., editors. Engineering for reliability in at-home chronic disease management. AMIA Annual Symposium Proceedings; 2014: American Medical Informatics Association.
27. Ghotbi N, Nakhostin Ansari N, Fetrosi S, Shamili A, Choobsaz H. Fatigue in iranian patients with neurological conditions. 2014.
28. Grant J, Gamueda MA, Ortega A, Song J. Managing Fatigue with Technology for Individuals with Multiple Sclerosis. 2018.
29. Mirkovic J, Kristjansdottir OB, Stenberg U, Krogseth T, Stange KC, Ruland CM. Patient insights into the design of technology to support a strengths-based approach to health care. JMIR research protocols. 2016;5(3):e175.
30. Whittaker R. Issues in mHealth: findings from key informant interviews. Journal of medical Internet research. 2012;14(5):e129.
31. Irace C, Schweitzer MA, Tripolino C, Scavelli FB, Gnasso A. Diabetes data management system to improve glycemic control in people with type 1 diabetes: Prospective cohort study. JMIR mHealth and uHealth. 2017;5(11):e170.
32. Lee H, Ghebre R, Le C, Jang YJ, Sharratt M, Yee D. Mobile phone multilevel and multimedia messaging intervention for breast cancer screening: Pilot randomized controlled Trial. JMIR mHealth and uHealth. 2017;5(11):e154.
33. Kang H, Park H-A. A mobile app for hypertension management based on clinical practice guidelines: development and deployment. JMIR mHealth and uHealth. 2016;4(1):e12.
34. Marcolino MS, Oliveira JAQ, D'Agostino M, Ribeiro AL, Alkmim MBM, Novillo-Ortiz D. The impact of mHealth interventions: systematic review of systematic reviews. JMIR mHealth and uHealth. 2018;6(1):e23.
35. Riley WT, Rivera DE, Atienza AA, Nilsen W, Allison SM, Mermelstein R. Health behavior models in the age of mobile interventions: are our theories up to the task? Translational behavioral medicine. 2011;1(1):53-71.
36. Schnall R, Rojas M, Bakken S, Brown W, Carballo-Dieguez A, Carry M, et al. A user-centered model for designing consumer mobile health (mHealth) applications (apps). Journal of biomedical informatics. 2016;60:243-51.
37. Lister C, West JH, Cannon B, Sax T, Brodegard D. Just a fad? Gamification in health and fitness apps. JMIR serious games. 2014;2(2):e9.
| Files | ||
| Issue | Vol 16 No 3 (2022) | |
| Section | Research Article(s) | |
| DOI | https://doi.org/10.18502/jmr.v16i3.10145 | |
| Keywords | ||
| Multiple sclerosis Mobile application Physical activity Information requirements | ||
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How to Cite
1.
Khaleghdoust S, Ghazisaeedi M, Ghotbi N. Information Needed for Designing a Mobile Application for Increasing Physical Activity in Patients with Multiple Sclerosis. jmr. 2022;16(3):222-227.
