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“Mobile Health” for the Management of Spondyloarthritis and Its Application in China

  • Spondyloarthritis (M Khan, Section Editor)
  • Published:
Current Rheumatology Reports Aims and scope Submit manuscript

Abstract

Purpose of the Review

Spondyloarthritis (SpA) is a group of inflammatory diseases characterized by inflammation in the spine, peripheral joints, and entheses that usually start at the prime of one’s life and lead to impaired physical function and reduced quality of life. Ankylosing spondylitis (AS) is prototype of SpA. This article reviews the opportunities and challenges of using mobile health (mHealth) in managing SpA, and report some of our experiences using a mHealth solution for management of SpA patients and performing related research in China.

Recent Findings

The recent rapid development of mobile communications and the common use of intelligent electronic devices have led to the increasing application of mHealth for chronic disease management by healthcare providers and patients alike. This is a promising new technology that can help mitigate limitations in time and space for patient management, promote easier communication between patients and their healthcare providers, reduce medical expenses, and optimize medical services. We have developed a smartphone-based mHealth SpA management system (SpAMS) that also helps the patients to monitor, manage, and share information on their disease with their physician at regular intervals.

Summary

There is a shift from a paternalistic model of healthcare to more personalized healthcare in which disease management is conducted by the patient together with their healthcare providers. The increasing utility of mHealth is expected to benefit disease management, promote patient–doctor communication, reduce medical expenses, and optimize medical services.

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References

Papers of particular interest, published recently, have been highlighted as: • Of importance •• Of major importance

  1. • Austin C, Kusumoto F. The application of big data in medicine: current implications and future directions. J Interv Card Electrophysiol. 2016;47(1):51–9 This paper provides an important overview of Big Data in medicine, including its benefits, potential pitfalls, and future directions.

    Article  Google Scholar 

  2. Lee S, Lim J, Park J, Kim K. Next place prediction based on spatiotemporal pattern mining of mobile device logs. Sensors (Basel). 2016;16(2):145.

    Article  Google Scholar 

  3. Waligóra J, Bujnowska–Fedak MM. Online health technologies and mobile devices: attitudes, needs, and future. In: Pokorski M. (eds) Medical science and research. Adv Exp Med Biol. vol 1153. Springer: Cham, 2019. https://link.springer.com/chapter/10.1007/5584_2019_335.

  4. World Health Organization. Global Observatory for eHealth series - Volume 3. mHealth: New horizons for health through mobile technologies. 2011. https://apps.who.int/iris/bitstream/handle/10665/44607/9789241564250_eng.pdf;jsessionid=69BFD63CA4B59B9B97375CA16EF714D3?sequence=1

  5. Ji XJ, Zhang JL, Hunag F. Use of mobile health to improve real-world practice. Zhonghua nei ke za zhi. 2018;57(3):161–3.

    CAS  PubMed  Google Scholar 

  6. Bashi N, Fatehi F, Fallah M, Walters D, Karunanithi M. Self-management education through mHealth: review of strategies and structures. JMIR Mhealth Uhealth. 2018;6(10):e10771.

    Article  Google Scholar 

  7. Viswanathan M, Golin CE, Jones CD, Ashok M, Blalock SJ, Wines RCM, et al. Interventions to improve adherence to self-administered medications for chronic diseases in the United States: a systematic review. Ann Intern Med. 2012;157(11):785–95.

    Article  Google Scholar 

  8. Akkoc N, Khan MA. Epidemiology of axial spondyloarthritis. In: Mease P, Khan MA, editors. Axial Spondyloarthritis: Elsevier; 2019. p. 31–56.

  9. Sawyer SM, Afifi RA, Bearinger LH, Blakemore SJ, Dick B, Ezeh AC, et al. Adolescence: a foundation for future health. Lancet. 2012;379(9826):1630–40.

    Article  Google Scholar 

  10. Geuens J, Swinnen TW, Westhovens R, de Vlam K, Geurts L, Vanden Abeele V. A review of persuasive principles in mobile apps for chronic arthritis patients: opportunities for improvement. JMIR Mhealth Uhealth. 2016;4(4):e118.

    Article  Google Scholar 

  11. Tyrrell JS, Redshaw CH. Physical activity in ankylosing spondylitis: evaluation and analysis of an eHealth tool. J Innov Health Inform. 2016;23(2):169.

    Article  Google Scholar 

  12. • Nowell WB, Curtis D, Thai M, et al. Digital interventions to build a patient registry for rheumatology research. Rheum Dis Clin N Am. 2019;45(2):173–86 This article demonstrates digital interventions that are effective for building research registry community for patients with rheumatic disease.

    Article  Google Scholar 

  13. Sharp M, O’Sullivan D. Mobile medical apps and mHealth devices: a framework to build medical apps and mHealth devices in an ethical manner to promote safer use - a literature review. Stud Health Technol Inform. 2017;235:363–7.

    PubMed  Google Scholar 

  14. Tian M, Zhang J, Luo R, Chen S, Petrovic D, Redfern J, et al. mHealth interventions for health system strengthening in China: a systematic review. JMIR Mhealth Uhealth. 2017;5(3):e32.

    Article  Google Scholar 

  15. Lopez-Olivo MA, Suarez-Almazor ME. Digital patient education and decision aids. Rheum Dis Clin N Am. 2019;45(2):245–56.

    Article  Google Scholar 

  16. Zhao J, Freeman B, Li M. Can Mobile phone apps influence people’s health behavior change? An evidence review. J Med Internet Res. 2016;18(11):e287.

    Article  Google Scholar 

  17. Shah TK, Tariq T, Phillips R, Davison S, Hoare A, Hasan SS, et al. Health care for all: effective, community supported, healthcare with innovative use of telemedicine technology. J Pharm Policy Pract. 2018;11:3.

    Article  Google Scholar 

  18. Battafarano DF, Ditmyer M, Bolster MB, Fitzgerald JD, Deal C, Bass AR, et al. 2015 American College of Rheumatology Workforce Study: supply and demand projections of adult rheumatology workforce, 2015-2030. Arthritis Care Res (Hoboken). 2018;70(4):617–26.

    Article  Google Scholar 

  19. •• Mollard E, Michaud K. Mobile apps for rheumatoid arthritis: opportunities and challenges. Rheum Dis Clin N Am. 2019;45(2):197–209 This article highlights the potential improvement of mobile application in the rheumatology realm and overviews the types of mobile apps that can be used.

    Article  Google Scholar 

  20. Michie S, Yardley L, West R, Patrick K, Greaves F. Developing and evaluating digital interventions to promote behavior change in health and health care: recommendations resulting from an international workshop. J Med Internet Res. 2017;19(6):e232.

    Article  Google Scholar 

  21. Zhang R, Wang Y, Liu B, Song G, Zhou X, Fan S, et al. Clinical data quality problems and countermeasure for real world study. Front Med. 2014;8(3):352–7.

    Article  Google Scholar 

  22. Sherman RE, Anderson SA, Dal Pan GJ, Gray GW, Gross T, Hunter NL, et al. Real-world evidence - what is it and what can it tell us? N Engl J Med. 2016;375(23):2293–7.

    Article  Google Scholar 

  23. Slater H, Dear BF, Merolli MA, Li LC, Briggs AM. Use of eHealth technologies to enable the implementation of musculoskeletal models of care: evidence and practice. Best Pract Res Clin Rheumatol. 2016;30(3):483–502.

    Article  Google Scholar 

  24. Fary RE, Slater H, Chua J, Ranelli S, Chan M, Briggs AM. Policy-into-practice for rheumatoid arthritis: randomized controlled trial and cohort study of e-learning targeting improved physiotherapy management. Arthritis Care Res (Hoboken). 2015;67(7):913–22.

    Article  Google Scholar 

  25. • Beratarrechea A, Lee AG, Willner JM, Jahangir E, Ciapponi A, Rubinstein A. The impact of mobile health interventions on chronic disease outcomes in developing countries: a systematic review. Telemed J E Health. 2014;20(1):75–82 This systematic review indicates a positive effect on chronic disease outcomes in developing countries and highlights the need for more rigorous research in such area.

    Article  Google Scholar 

  26. Ng SC, Liao Z, Yu DT, Chan ES, Zhao L, Gu J. Epidemiology of spondyloarthritis in the People’s Republic of China: review of the literature and commentary. Semin Arthritis Rheum. 2007;37(1):39–47.

    Article  Google Scholar 

  27. Zhang F. Second survey of Chinese rheumatologists. Chin J Allergy Clin Immunol. 2014;8(3):165–9.

    CAS  Google Scholar 

  28. Birnbaum N. American College of Rheumatology response to the 2006 rheumatology workforce study. Arthritis Rheum. 2007;56(3):730–1.

    Article  Google Scholar 

  29. •• Ji X, Wang Y, Ma Y, et al. Improvement of disease management and cost effectiveness in Chinese patients with ankylosing spondylitis using a smart-phone management system: a prospective cohort study. Biomed Res Int. 2019;2019:11 This article showed the smartphone disease management tool can help patients with AS perform self-management and provide valuable data to researchers.

    Google Scholar 

  30. Laney D. 3-D data management: controlling data volume, velocity, and variety. META Group Res Note. https://www.researchgate.net/publication/304929258_3-D_Data_Management_Controlling_Data_Volume_Velocity_and_Variety.

  31. McNeal GS. Health insurer anthem struck by massive data breach - Forbes. Forbes Web. 2015. http://www.forbes.com/sites/gregorymcneal/2015/02/04/massive-data-breach-at-health-insurer-anthem-reveals-social-security-numbers-and-more/.

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Correspondence to Feng Huang.

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Conflict of Interest

Feng Huang is supported by the Key Projects in the National Science & Technology Pillar Program during the Twelfth Five-year Plan Period (grant numbers 2014BAI07B05) and the National Key Basic Research Program of China (973 program) (grant numbers 2014CB541806). The authors declare that they have no conflicts of interest.

Human and Animal Rights and Informed Consent

This article does not contain any studies with human or animal subjects performed by any of the authors. All reported studies/experiments with human subjects performed by the authors have been previously published and complied with all applicable ethical standards (including the Helsinki Declaration and its amendments, institutional/national research committee standards, and international/national/institutional guidelines).

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This article is part of the Topical Collection on Spondyloarthritis

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Ji, X., Hu, L., Wang, Y. et al. “Mobile Health” for the Management of Spondyloarthritis and Its Application in China. Curr Rheumatol Rep 21, 61 (2019). https://doi.org/10.1007/s11926-019-0860-7

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  • DOI: https://doi.org/10.1007/s11926-019-0860-7

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