User Modeling and User-Adapted Interaction

, Volume 21, Issue 4–5, pp 485–511 | Cite as

Design and implementation of a web-based Tailored Gymnasium to enhance self-management of Fibromyalgia

  • Luca Camerini
  • Michele Giacobazzi
  • Marco Boneschi
  • Peter J. Schulz
  • Sara Rubinelli
Original Paper

Abstract

The aim of this article is to describe the design and development of an online gymnasium that proposes personalized exercise videos to users affected by fibromyalgia. Fibromyalgia syndrome is a chronic condition characterized by widespread pain in muscles, ligaments and tendons, usually associated with sleep disorders and fatigue. Physical exercise is considered as an important component of non-pharmacological treatments of this pathology, and the internet is praised as a powerful resource to promote and improve physical exercise. Yet, while online personalization of health interventions to consumers must be grounded on empirically based guidelines, guidelines for fibromyalgia-targeted exercises are scant. The achievements presented in this paper are twofold. Firstly, we illustrate how we reached definition of the relevant factors for tailoring exercise videos in relation to fibromyalgia. Secondly, we explain the general framework of the application that is composed of an interview module (that investigates the determinant values of a specific user), an adaptation module (presenting the tailored set of exercises) and a logging component (used to monitor users’ interactions with the website). The paper concludes with a discussion on the strengths and weaknesses of the proposed approach.

Keywords

Personalized online information system Tailoring health communication Health technology Fibromyalgia Self-management 

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References

  1. American College of Sport Medicine: ACSM’s Guidelines for Exercise Testing and Prescription. Lippincott Williams & Wilkins, Baltimore (2005)Google Scholar
  2. Annemans L., Wesseley S., Spaepen E. et al.: Health economic consequences related to the diagnosis of fibromyalgia syndrome. Arthritis Rheum. 58(3), 895–902 (2008)CrossRefGoogle Scholar
  3. Arnold L.M., Bradley L.A., Clauw D.J. et al.: Evaluating and diagnosing fibromyalgia and comorbid psychiatric disorders. J. Clin. Psychiatry 69(10), e28 (2008)CrossRefGoogle Scholar
  4. Belt N.K., Kronholm E., Kauppi M.J.: Sleep problems in fibromyalgia and rheumatoid arthritis compared with the general population. Clin. Exp. Rheumatol. 27(1), 35–41 (2009)Google Scholar
  5. Bennett R., Jones J., Turk D.C. et al.: An Internet survey of 2,596 people with fibromyalgia. BMC Musculoskeletal Disord. 9, 8–27 (2007)Google Scholar
  6. Brosseau L., Wells G.A., Tugwell P. et al.: Ottawa panel evidence-based clinical practice guidelines for aerobic fitness exercises in the management of fibromyalgia. Phys. Ther. 88(7), 857–871 (2008)CrossRefGoogle Scholar
  7. Brusilovsky P.: Methods and techniques of adaptive hypermedia. User Model. User-Adapt. Interact. 6(2–3), 87–129 (1996)CrossRefGoogle Scholar
  8. Brusilovsky P.: Adaptive hypermedia. User Model. User-Adapt. Interact. 11(1–2), 87–110 (2001)MATHCrossRefGoogle Scholar
  9. Brusilovsky P., Pesin L.: Adaptive navigation support in educational hypermedia: an evaluation of ISIS-Tutor. J. Comput. Inform. Technol. 6(1), 27–38 (1998)Google Scholar
  10. Buchanan B., Moore J., Forsythe D., Carenini G., Ohlsson S., Banks G.: An intelligent interactive system for delivering individualized information to patients. Artif. Intell. Med. 7(2), 117–154 (1995)CrossRefGoogle Scholar
  11. Busch A.J., Thille P., Barber K.A. et al.: Best practice: E-model—prescribing physical activity and exercise for individuals with fibromyalgia. Physiother. Theory Pract. 24(3), 151–166 (2008a)CrossRefGoogle Scholar
  12. Busch A.J., Schachter C.L., Overend T.J. et al.: Exercise for fibromyalgia: a systematic review. J. Rheumatol. 35(6), 1130–1144 (2008b)Google Scholar
  13. Buskila D., Cohen H.: Comorbidity of fibromyalgia and psychiatric disorders. Curr. Pain Headache Rep. 11(5), 333–338 (2007)CrossRefGoogle Scholar
  14. Carville S.F., Arendt-Nielsen S., Bliddal H. et al.: EULAR evidence-based recommendations for the management of fibromyalgia syndrome. Ann. Rheum. Dis. 67(4), 536–541 (2008)CrossRefGoogle Scholar
  15. Cawsey A.J., Jones R.B., Pearson J.: The evaluation of a personalized health information system for patients with cancer. User Model. User-Adapt. Interact. 10(1), 47–72 (2000)CrossRefGoogle Scholar
  16. Choy E., Perrot S., Leon T. et al.: A patient survey of the impact of fibromyalgia and the journey to diagnosis. BMC Health Serv. Res. 10, 102–110 (2010)CrossRefGoogle Scholar
  17. Clauw D.J.: Assessing and diagnosing fibromyalgia in the clinical setting. J. Clin. Psychiatry 69(11), e33 (2008)CrossRefGoogle Scholar
  18. Eysenbach G.: The law of attrition. J. Med. Internet Res. 7(1), e11 (2005)CrossRefGoogle Scholar
  19. Eysenbach G., Powell J., Kuss O. et al.: Empirical studies assessing the quality of health information for consumers on the world wide web: a systematic review. J. Am. Med. Assoc. 287(20), 2691–2700 (2002)CrossRefGoogle Scholar
  20. Goldenberg D.L.: Psychological symptoms and psychiatric diagnosis in patients with fibromyalgia. J. Rheumatol. 19(Suppl. Nov.), 127–130 (1989)Google Scholar
  21. Goldenberg D.L.: Multidisciplinary modalities in the treatment of fibromyalgia. J. Clin. Psychiatry 69(Suppl. 2), 30–34 (2008)Google Scholar
  22. Goldenberg D.L., Burckhardt C., Crofford L.: Management of fibromyalgia syndrome. J. Am. Med. Assoc. 292(19), 2388–2395 (2004)CrossRefGoogle Scholar
  23. Häuser W., Thieme K., Turk D.C.: Guidelines on the management of fibromyalgia syndrome—a systematic review. Eur. J. Pain 14(1), 5–10 (2009)CrossRefGoogle Scholar
  24. Ittersum M.W., van Wilgen C.P., Hilberdink W.K.H.A. et al.: Illness perceptions in patients with fibromyalgia. Patient Educ. Couns. 74, 53–60 (2009)CrossRefGoogle Scholar
  25. Jones J., Rutledge D.N., Jones K.D. et al.: Self-assessed physical function levels of women with fibromyalgia: a national survey. Womens Health Issues 18(5), 406–412 (2008)CrossRefGoogle Scholar
  26. Kobsa A., Koenemann J., Pohl W.: Personalized hypermedia presentation techniques for improving online customer relationships. Knowl. Eng. Rev. 16(2), 111–155 (2001)MATHCrossRefGoogle Scholar
  27. Kreuter M., Farrell D., Olevitch L., Brennan L.: Tailoring Health Messages. Customizing Communication with Computer Technology. Lawrence Erlbaum Associates, Mahwah (2000)Google Scholar
  28. Kroeze W., Werkman A., Brug J.: A systematic review of randomized trials on the effectiveness of computer-tailored education on physical activity and dietary behaviors. Ann. Behav. Med. 31(3), 205–223 (2006)CrossRefGoogle Scholar
  29. Lorig K.R., Bodenheimer T., Holman H. et al.: Patient self-management of chronic disease in primary care. J. Am. Med. Assoc. 288(19), 2469–2475 (2002)CrossRefGoogle Scholar
  30. Lorig K.R., Ritter P.L., Laurent D.D. et al.: Internet-based chronic disease self-management: a randomized trial. Med. Care 44(11), 964–971 (2006)CrossRefGoogle Scholar
  31. Lorig K.R., Ritter P.L., Laurent D.D. et al.: The internet-based arthritis self-management program: a one-year randomized trial for patients with arthritis or fibromyalgia. Arthritis Care Res. 59(7), 1009–1017 (2008)CrossRefGoogle Scholar
  32. Lustria M.L., Cortese J., Noar S.M. et al.: Computer-tailored health interventions delivered over the web: review and analysis of key components. Patient Educ. Couns. 74, 156–173 (2009)CrossRefGoogle Scholar
  33. Mannerkopi K.: Exercise in fibromyalgia. Curr. Opin. Rheumatol. 17(2), 190–194 (2005)CrossRefGoogle Scholar
  34. Mannerkopi K., Iversen M.D.: Physical exercise in firbomyalgia and related syndromes. Best Pract. Res. Clin. Rheumatol. 17(4), 629–647 (2003)CrossRefGoogle Scholar
  35. Reiter E., Mellish C., Levine J.: Automatic generation of technical documentation. Appl. Artif. Intell. 9(3), 259–287 (1995)CrossRefGoogle Scholar
  36. Reiter, E., Cawsey, A., Osman, L. Roff, Y.: Knowledge acquisition for content selection. In: Proceedings of the 6th European workshop on Natural Language Generation, pp. 117–126 (1997)Google Scholar
  37. Reiter E., Robertson R., Osman L.M.: Lessons from a failure: generating tailored smoking cessation letters. Artif. Intell. 144(1–2), 41–58 (2003)CrossRefGoogle Scholar
  38. Rimer B.K., Kreuter M.W.: Advancing tailored health communication: a persuasion and message effects perspective. J. Commun. 56, S184–S201 (2006)CrossRefGoogle Scholar
  39. Sarzi-Puttini P., Buskila D., Carrabba M. et al.: Treatment strategy in fibromyalgia syndrome: where are we now?. Semin. Arthritis Rheum. 37(6), 353–365 (2008)CrossRefGoogle Scholar
  40. Schulz P.J., Rubinelli S., Hartung W.: An Internet based approach to enhance self-management of chronic low back pain in the Italian-speaking population of Switzerland: results from a pilot study. Int. J. Public Health 52(5), 286–294 (2007)CrossRefGoogle Scholar
  41. Science Panel on Interactive Communication and Health: In: Eng, T.R., Gustafson, D.H. (eds.) Wired for Health and Well-Being: The Emergence of Interactive Health Communication. US Department of Health and Human Services, US Government Printing Office, Washington, DC (1999)Google Scholar
  42. Spaeth M.: Epidemiology, costs, and the economic burden of fibromyalgia. Arthritis Res. Ther. 11(3), 117–118 (2009)CrossRefGoogle Scholar
  43. Suggs L.S.: A 10-year retrospective of research in new technologies for health communication. J. Health Commun. 11(1), 61–74 (2006)CrossRefGoogle Scholar
  44. Suggs L.S., Cowdery J.E., Carroll J.B.: Tailored program evaluation: past, present, future. Eval. Program Plann. 29(4), 426–432 (2005)CrossRefGoogle Scholar
  45. Suman A.L., Biagi B., Biasi G. et al.: One-year efficacy of a 3-week intensive multidisciplinary non-pharmacological treatment program for fibromyalgia patients. Clin. Exp. Rheumatol. 27(1), 7–14 (2009)Google Scholar
  46. van den Berg M.H., Schoones J.W., Vliet Vlieland T.P.: Internet-based physical activity interventions: a systematic review of the literature. J. Med. Internet Res. 9(3), e26 (2007)CrossRefGoogle Scholar
  47. van Koulil S., Lankveld W., Kraaimaat F.W. et al.: Tailored cognitive-behavioral therapy for fibromyalgia: two case studies. Patient Educ. Couns. 71, 308–314 (2008)CrossRefGoogle Scholar
  48. van Uden-Kraan C.F., Drossaert C.H.C., Taal E. et al.: Empowering processes and outcomes of participation in online support groups for patients with breast cancer, arthritis or fibromyalgia. Qual. Health Res. 18(3), 405–417 (2008)CrossRefGoogle Scholar
  49. van Vugt H.C., Konijn E.A., Hoorn J.F., Veldhuis J.: When too heavy is just fine: creating trustworthy e-health advisors. Int. J. Hum. Comput. Stud. 67(7), 571–583 (2009)CrossRefGoogle Scholar
  50. Wantland D.J., Portillo C.J., Holzemer W.L. et al.: The effectiveness of web-based vs non-web-based interventions: a meta-analysis of behavioral change outcomes. J. Med. Internet Res. 6(4), e40 (2004)CrossRefGoogle Scholar
  51. Wherton J.P., Monk A.F.: Technological opportunities for supporting people with dementia who are living at home. Int. J. Hum. Comput. Stud. 66(8), 571–586 (2008)CrossRefGoogle Scholar
  52. Wilson H.D., Robinson J.P., Turk D.C.: Toward the identification of symptoms patterns in people with fibromyalgia. Arthritis Care Res. 61(4), 527–534 (2009)CrossRefGoogle Scholar
  53. Wolfe F., Smythe H.A., Yunus M.B. et al.: The American College of Rheumatology 1990 criteria for the classification of fibromyalgia. Report of the Multicenter Criteria Committee. Arthritis Rheum. 33(2), 160–172 (1990)CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media B.V. 2010

Authors and Affiliations

  • Luca Camerini
    • 1
  • Michele Giacobazzi
    • 1
  • Marco Boneschi
    • 1
  • Peter J. Schulz
    • 1
  • Sara Rubinelli
    • 2
  1. 1.Institute of Communication and HealthUniversità della Svizzera ItalianaLuganoSwitzerland
  2. 2.Department of Health Sciences and Health PolicyUniversity of Lucerne and Swiss Paraplegic ResearchNottwilSwitzerland

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