Assessment of the utility of visual feedback in the treatment of early rheumatoid arthritis patients: a pilot study
Abstract
Earlier studies revealed that visual feedback has contributed in the management of neuromuscular as well as psychiatric disorders; however, it has not yet been applied in rheumatology. Visual feedback is a relatively new tool that enables the patient to visualize as well as monitor a real-time change of their disease activity parameters as well as the patient’s reported outcome measures. Integrating electronic data recording in the standard rheumatology clinical practice made visual feedback possible. To evaluate the feasibility of using the visual feedback in patients with early inflammatory arthritis (EA) and how ubiquitous computing technology can improve the patients’ compliance and adherence to therapy, this was a double-blind randomized controlled study, which included 111 patients diagnosed to have EA according to the new ACR/EULAR criteria. All patients received disease-modifying antirheumatic drugs (DMARDs) therapy and monitored regularly over the period of 1 year. By the 6th month of treatment, the patients were randomly allocated to an active group (55 patients) to whom the visual feedback (visualization of charts showing the progression of disease activity parameters) was added to their management protocol, and a control group (56 patients) who continued their standard management protocols. The patients were monitored for another 6-months period. All the patient’s disease activity parameters, patient reported outcome measures (PROMs), medications, scores of falls, and cardiovascular risks were recorded electronically. Primary outcome was the change in the patients’ adherence to their medications, disease activity score (DAS-28), and PROMs: pain score, patient global assessment, functional disability, and quality of life. Secondary outcome was the answers to a questionnaire completed by every patient in both the active group and control group (using Visual Analogue Scale) by the end of 1 year of management, to rate from the patient’s perspective the impact of the management protocol, whether using the standard or visual feedback approach, on them and their disease. The visual feedback provided a significant greater reduction in disease activity parameters as well as improvement of the patients’ adherence to antirheumatic therapy (P < 0.01). Also stopping the DMARDs therapy because of intolerance was significantly less in the active group. Concerns about the future was significantly less in the active group whereas inability to coup with daily life and disease stress were significantly more among the control group. The improvement of disease activity parameters was associated with improvement in functional disability and quality of life scores. Mean changes in disease parameters showed no significant differences at 3–6 months of therapy but differences were statistically significant at 12-months follow-up (P < 0.01). Medication compliance was significantly correlated with changes in all measured disease parameters. By recording and monitoring disease activity parameters electronically and incorporating the visual feedback approach into clinical practice, a new experience can be created. Visual feedback enabled the patients to see how they are doing regarding their disease activity and helps to optimize their adherence to their treatment. Visual feedback had a positive and significant impact on the disease activity control.
Keywords
Early arthritis Visual feedback EROMIA PROMs Patient-reported outcome measuresReferences
- 1.Combe B, Landewe R, Lukas C, Bolosiu HD, Breedveld F, Dougados M, Emery P (2007) EULAR recommendations for the management of early arthritis: report of a task force of the European standing committee for international clinical studies including therapeutics (ESCISIT). Ann Rheum Dis 66(1):34–45PubMedCrossRefGoogle Scholar
- 2.Cramer JA, Roy A, Burrell A et al (2008) Medication compliance and persistence: terminology and definitions. Value Health 11:44–47PubMedCrossRefGoogle Scholar
- 3.Belcon MC, Haynes RB, Tugwell P (1984) A critical review of compliance studies in rheumatoid arthritis. Arthritis Rheum 27:1227–1233PubMedCrossRefGoogle Scholar
- 4.Donovan JL, Blake DR (1992) Patient non-compliance: deviance or reasoned decision-making? Soc Sci Med 34:507–513PubMedCrossRefGoogle Scholar
- 5.Bradley LA (1989) Adherence with treatment regimens among adult rheumatoid arthritis patients: current status and future directions. Arthritis Care Res 2:S33–S39PubMedCrossRefGoogle Scholar
- 6.Hill J (1995) The co-ordinated care of the rheumatic patient: a nursing perspective. Rheumatol Eur 24(suppl 2):292–299Google Scholar
- 7.Lorig K (1996) Patient education: a practical approach. Sage, Thousand Oaks, p xiiiGoogle Scholar
- 8.Lorig K, Konkol L, Gonzalez V (1987) Arthritis patient education: a review of the literature. Patient Educ Couns 10:207–252PubMedCrossRefGoogle Scholar
- 9.Hirano PC, Laurent DD, Lorig K (1994) Arthritis patient education studies, 1987–1991: a review of the literature. Patient Educ Couns 24:9–54PubMedCrossRefGoogle Scholar
- 10.Hawley D (1995) Psycho-educational interventions in the treatment of arthritis. Baillieres Clin Rheumatol 9:803–823PubMedCrossRefGoogle Scholar
- 11.Hill J, Bird H, Johnso S (2001) EVect of patient education on adherence to drug treatment for rheumatoid arthritis: a randomised controlled trial. Ann Rheum Dis 60:869–875PubMedGoogle Scholar
- 12.McCabe CS, Haigh RC, Ring EF, Halligan PW, Wall PD, Blake DR (2003) A controlled pilot study of the utility of mirror visual feedback in the treatment of complex regional pain syndrome (type 1). Rheumatology 42(1):97–101PubMedCrossRefGoogle Scholar
- 13.Kranz M, Holleis P, Spiessl W, Schmidt A, Tusker F (2006) The therapy top measurement and visualization system: an example for the advancements in existing sports equipments. Int J Comput Sci Sport 5(2):76–80Google Scholar
- 14.Aletaha D, Neogi T, Silman T, Funovit J, Felson D, Bingham C 3rd et al (2010) Rheumatoid arthritis classification criteria. An American college of rheumatology/European league against rheumatism collaborative initiative. Arthritis Rheum 62(9):2569–2581PubMedCrossRefGoogle Scholar
- 15.National Institute for Health and Clinical Excellence (2009) The management of rheumatoid arthritis in adults. Available at http://www.nice.org.uk/CG79 (Accessed 29th December 2010)
- 16.El Miedany Y, El Gaafary M, Palmer D, Youssef S (2010) Incorporating patient reported outcome measures in clinical practice: development and validation of a questionnaire for inflammatory arthritis. Clin Exp Rheumatol 28:734–744PubMedGoogle Scholar
- 17.De Achaval S, Suarez-Almazor ME (2010) Improving treatment adherence in patients with rheumatologic disease. J Musculoskelet Med 27(1): http://www.musculoskeletalnetwork.com/display/article/1145622/1691476. Accessed on 29th December 2010
- 18.Harrold LR, Andrade SE (2009) Medication adherence of patients with selected rheumatic conditions: a systematic review of the literature. Semin Arthritis Rheum 38:396–402PubMedCrossRefGoogle Scholar
- 19.Garcia-Gonzalez A, Richardson M, Garcia Popa-Lisseanu M, Cox V, Kallen MA, Janssen N, Ng B, Marcus DM, Reveille JD, Suarez-Almazor ME (2008) Treatment adherence in patients with rheumatoid arthritis, systemic lupus erythematosus. Clin Rheumatol 27(7):883–889PubMedCrossRefGoogle Scholar
- 20.Pincus T (2008) Pain, function, and RAPID scores vital signs in chronic diseases, analogous to pulse and temperature in acute diseases and blood pressure and cholesterol in long-term health. Bull NYU Hosp Jt Dis 66(2):155–165PubMedGoogle Scholar
- 21.Massy-Westropp N, Ahern M, Krishnan J (2005) Visual analogue scale for assessment of the impact of rheumatoid arthritis in the hand: validity and repeatability. J Hand Therapy 18(1):30–33CrossRefGoogle Scholar
- 22.Bradley LA, Young LD, Anderson KO, Turner RA (1987) Effects of psychological therapy on pain behaviour of rheumatoid arthritis patients. Arthritis Rheum 30(10):1105–1114PubMedCrossRefGoogle Scholar
- 23.Waggoner CD, LeLieuvre RB (1981) A method to increase compliance to exercise regimens in rheumatoid arthritis patients. J Behav Med 4(2):191–201PubMedCrossRefGoogle Scholar
- 24.Ming-Yih L, Kok-Soon S (2009) New computer protocol with subsensory stimulation and visual/auditory biofeedback for balance assessment in amputees. Systems, man and cybernetics. IEEE International Conference. SMC, San Antonio, TX. 11–14 October, 2009. http://ieeexplore.ieee.org/Xplore/login.jsp?url=http://ieeexplore.ieee.org/iel5/5340904/5345886/05346337.pdf%3Farnumber%3D5346337&authDecision=-203. Accessed on 29th December 2010