Mobile applications to enhance self-management of gout

International Journal of Medical Informatics

Volumn 94, Issue , 2016, Pages 67-74

  Nguyen, Amy D ^a,b   Baysari, Melissa T ^a,c   Kannangara, Diluk R W ^a,b   Tariq, Amina ^d   Lau, Annie Y S ^c   Westbrook, Johanna I ^c   Day, Richard O ^a,b  

^a ST VINCENT S HOSPITAL   (Australia)

^b UNIVERSITY OF NEW SOUTH WALES   (Australia)

^c MACQUARIE UNIVERSITY   (Australia)

^d QUEENSLAND UNIVERSITY OF TECHNOLOGY   (Australia)

Author keywords

Adherence; Chronic illness; Feedback; Gout; Mobile apps; Patient centred; Self management

Indexed keywords

DISEASES; FEEDBACK;

ADHERENCE; CHRONIC ILLNESS; GOUT; MOBILE APPS; PATIENT CENTRED; SELF MANAGEMENT;

PATIENT TREATMENT;

ARTICLE; BEHAVIOR CHANGE; GOUT; HEALTH CARE PERSONNEL; HUMAN; MEDICATION COMPLIANCE; MOBILE APPLICATION; PATIENT EDUCATION; PATIENT MONITORING; PRACTICE GUIDELINE; PRIORITY JOURNAL; RISK FACTOR; SELF CARE; CHRONIC DISEASE; DEVICES; DISEASE MANAGEMENT; TELEMEDICINE; UTILIZATION;

CHRONIC DISEASE; DISEASE MANAGEMENT; GOUT; HUMANS; MOBILE APPLICATIONS; PATIENT EDUCATION AS TOPIC; SELF CARE; TELEMEDICINE;

EID: 84978285975     PISSN: 13865056     EISSN: 18728243     Source Type: Journal    
DOI: 10.1016/j.ijmedinf.2016.06.021     Document Type: Article

References (45)

1. [1] Roddy, E., Choi, H.K., Epidemiology of gout. Rheum. Dis. Clin. North Am. 40 (2014), 155–175.
2. [2] Zhu, Y., Pandya, B.J., Choi, H.K., Prevalence of gout and hyperuricemia in the US general population: the National Health and Nutrition Examination Survey 2007–2008. Arthritis Rheum. 63 (2011), 3136–3141.
3. [3] Jordan, K.M., Cameron, J.S., Snaith, M., Zhang, W., Doherty, M., Seckl, J., Hingorani, A., Jaques, R., Nuki, G., British society for R., British health professionals in rheumatology standards G., audit working G. British society for rheumatology and British health professionals in rheumatology guideline for the management of gout. Rheumatology (Oxford) 46 (2007), 1372–1374.
4. [4] Sivera, F., Andres, M., Carmona, L., Kydd, A.S., Moi, J., Seth, R., Sriranganathan, M., van Durme, C., van Echteld, I., Vinik, O., Wechalekar, M.D., Aletaha, D., Bombardier, C., Buchbinder, R., Edwards, C.J., Landewe, R.B., Bijlsma, J.W., Branco, J.C., Burgos-Vargas, R., Catrina, A.I., Elewaut, D., Ferrari, A.J., Kiely, P., Leeb, B.F., Montecucco, C., Muller-Ladner, U., Ostergaard, M., Zochling, J., Falzon, L., van der Heijde, D.M., Multinational evidence-based recommendations for the diagnosis and management of gout: integrating systematic literature review and expert opinion of a broad panel of rheumatologists in the 3e initiative. Ann. Rheum. Dis. 73 (2014), 328–335.
5. [5] Zhang, W., Doherty, M., Bardin, T., Pascual, E., Barskova, V., Conaghan, P., Gerster, J., Jacobs, J., Leeb, B., Liote, F., McCarthy, G., Netter, P., Nuki, G., Perez-Ruiz, F., Pignone, A., Pimentao, J., Punzi, L., Roddy, E., Uhlig, T., Zimmermann-Gorska, I., Therapeutics E.S.C.f.I.C.S.I. EULAR evidence based recommendations for gout. Part II: management. Report of a task force of the EULAR standing committee for international clinical studies including therapeutics (ESCISIT). Ann. Rheum. Dis. 65 (2006), 1312–1324.
6. [6] Khanna, D., Fitzgerald, J.D., Khanna, P.P., Bae, S., Singh, M.K., Neogi, T., Pillinger, M.H., Merill, J., Lee, S., Prakash, S., Kaldas, M., Gogia, M., Perez-Ruiz, F., Taylor, W., Liote, F., Choi, H., Singh, J.A., Dalbeth, N., Kaplan, S., Niyyar, V., Jones, D., Yarows, S.A., Roessler, B., Kerr, G., King, C., Levy, G., Furst, D.E., Edwards, N.L., Mandell, B., Schumacher, H.R., Robbins, M., Wenger, N., Terkeltaub, R., American College of R: 2012 American College of Rheumatology guidelines for management of gout. Part 1: systematic nonpharmacologic and pharmacologic therapeutic approaches to hyperuricemia. Arthritis Care Res. (Hoboken) 64 (2012), 1431–1446.
7. [7] Jennings, C.G., Mackenzie, I.S., Flynn, R., Ford, I., Nuki, G., De Caterina, R., Riches, P.L., Ralston, S.H., MacDonald, T.M., F.s. group, Up-titration of allopurinol in patients with gout. Semin. Arthritis Rheum. 44 (2014), 25–30.
8. [8] Spencer, K., Carr, A., Doherty, M., Patient and provider barriers to effective management of gout in general practice: a qualitative study. Ann. Rheum. Dis. 71 (2012), 1490–1495.
9. [9] Harrold, L.R., Mazor, K.M., Velten, S., Ockene, I.S., Yood, R.A., Patients and providers view gout differently: a qualitative study. Chronic Illn. 6 (2010), 263–271.
10. [10] Dalbeth, N., Petrie, K.J., House, M., Chong, J., Leung, W., Chegudi, R., Horne, A., Gamble, G., McQueen, F.M., Taylor, W.J., Illness perceptions in patients with gout and the relationship with progression of musculoskeletal disability. Arthritis Care Res. (Hoboken) 63 (2011), 1605–1612.
11. [11] Rees, F., Jenkins, W., Doherty, M., Patients with gout adhere to curative treatment if informed appropriately: proof-of-concept observational study. Ann. Rheum. Dis. 72 (2013), 826–830.
12. [12] Zwar, N.A., Harris, M., Griffiths, R., Roland, M., Dennis, S.M., Powell Davies, G., Hasan, I., A systematic review of chronic disease management. 2006, Research Centre for Primary Health Care and Equity, School of Public Health and Community Medicine, UNSW.
13. [13] Fox, S., Rainie, L., The Web at 25 in the U.S. 2014, Pew Research Center, Washington, DC February 27, 2014.
14. [14] Rainie, L., Smith, A., Tablets and ereaders. 2013, Pew Research Center, Washington, DC October 18, 2013.
15. [15] Smith, A., Smartphone Ownership- 2013 Update. 2013, Pew Research Center, Washington, DC June 5, 2013.
16. [16] Fox, S., Duggan, M., Tracking for Health. 2013, Pew Research Center, Washington, DC January 18, 2013.
17. [17] Fox, S., Duggan, M., Health Online 3013. 2013, Pew Research Center, Washington, DC January 15, 2013.
18. [18] Fox, S., Duggan, M., The Diagnosis Difference. 2013, Pew Research Center, Washington, DC November 26, 2013.
19. [19] Fox, S., Duggan, M., Mobile Health 2012. 2012, Pew Research Center, Washington, DC November 8, 2012.
20. [20] Liang, X., Wang, Q., Yang, X., Cao, J., Chen, J., Mo, X., Huang, J., Wang, L., Gu, D., Effect of mobile phone intervention for diabetes on glycaemic control: a meta-analysis. Diabetes Med. 28 (2011), 455–4463.
21. [21] Stinson, J.N., McGrath, P.J., Hodnett, E.D., Feldman, B.M., Duffy, C.M., Huber, A.M., Tucker, L.B., Hetherington, C.R., Tse, S.M., Spiegel, L.R., Campillo, S., Gill, N.K., White, M.E., An internet-based self-management program with telephone support for adolescents with arthritis: a pilot randomized controlled trial. J. Rheumatol. 37 (2010), 1944–1952.
22. [22] Wantland, D.J., Portillo, C.J., Holzemer, W.L., Slaughter, R., McGhee, E.M., The effectiveness of Web-based vs: non-web-based interventions: a meta-analysis of behavioral change outcomes. J. Med. Internet Res., 6, 2004, e40.
23. [23] Webb, T.L., Joseph, J., Yardley, L., Michie, S., Using the internet to promote health behavior change: a systematic review and meta-analysis of the impact of theoretical basis, use of behavior change techniques, and mode of delivery on efficacy. J. Med. Internet Res., 12, 2010, e4.
24. [24] Tao, D., Or, C.K., Effects of self-management health information technology on glycaemic control for patients with diabetes: a meta-analysis of randomized controlled trials. J. Telemed. Telecare, 2013.
25. [25] Mantarro, S., Capogrosso-Sansone, A., Tuccori, M., Blandizzi, C., Montagnani, S., Convertino, I., Antonioli, L., Fornai, M., Cricelli, I., Pecchioli, S., Cricelli, C., Lapi, F., Allopurinol adherence among patients with gout: an Italian general practice database study. Int. J. Clin. Pract. 69:7 (2015), 757–765.
26. [26] Sarawate, C.A., Brewer, K.K., Yang, W., Patel, P.A., Schumacher, H.R., Saag, K.G., Bakst, A.W., Gout medication treatment patterns and adherence to standards of care from a managed care perspective. Mayo Clin. Proc. 81 (2006), 925–934.
27. [27] Zandman-Goddard, G., Amital, H., Shamrayevsky, N., Raz, R., Shalev, V., Chodick, G., Rates of adherence and persistence with allopurinol therapy among gout patients in Israel. Rheumatology (Oxford) 52 (2013), 1126–1131.
28. [28] Brandell, B., Ford, C., Diabetes professionals must seize the opportunity in mobile health. J. Diabetes Sci. Technol. 7 (2013), 1616–1620.
29. [29] Chomutare, T., Fernandez-Luque, L., Arsand, E., Hartvigsen, G., Features of mobile diabetes applications: review of the literature and analysis of current applications compared against evidence-based guidelines. J. Med. Internet Res., 13, 2011, e65.
30. [30] Yamanaka, H., Togashi, R., Hakoda, M., Terai, C., Kashiwazaki, S., Dan, T., Kamatani, N., Optimal range of serum urate concentrations to minimize risk of gouty attacks during anti-hyperuricemic treatment. Adv. Exp. Med. Biol. 431 (1998), 13–18.
31. [31] Jennings, C.G., Mackenzie, I.S., Flynn, R., Ford, I., Nuki, G., De Caterina, R., Riches, P.L., Ralston, S.H., Macdonald, T.M., for the, F.s.g., Up-titration of allopurinol in patients with gout. Semin. Arthritis Rheum. 44:1 (2014), 25–30.
32. [32] Briesacher, B.A., Andrade, S.E., Fouayzi, H., Chan, K.A., Comparison of drug adherence rates among patients with seven different medical conditions. Pharmacotherapy 28 (2008), 437–443.
33. [33] Choi, H.K., Mount, D.B., Reginato, A.M., American College of, P., American Physiological, S., Pathogenesis of gout. Ann. Intern. Med. 143 (2005), 499–516.
34. [34] Gonzalez-Senac, N.M., Bailen, R., Torres, R.J., de Miguel, E., Puig, J.G., Metabolic syndrome in primary gout. Nucleosides Nucleotides Nucleic Acids 33 (2014), 185–191.
35. [35] Choi, H.K., Ford, E.S., Li, C., Curhan, G., Prevalence of the metabolic syndrome in patients with gout: the Third National Health and Nutrition Examination Survey. Arthritis Rheum. 57 (2007), 109–115.
36. [36] Singh, J.A., Facilitators and barriers to adherence to urate-lowering therapy in African-Americans with gout: a qualitative study. Arthritis Res. Ther., 16, 2014, R82.
37. [37] S. GUAE, Take a stand on gout: promoting consistency in gout diagnosis and management, Consensus Roundtable (2014) http://gouteducation.org/wp-content/uploads/2014/11/2014-GUAES-Roundtable-Consensus-Paper-Final-Web.pdf.
38. [38] Nilsen, W., Kumar, S., Shar, A., Varoquiers, C., Wiley, T., Riley, W.T., Pavel, M., Atienza, A.A., Advancing the science of mHealth. J. Health Commun. 1:17 Suppl (2012), 5–10.
39. [39] Fogg, B.J., Persuasive Technology: Using Computers to Change What We Think and Do. 2003, Morgan Kaufmann Publishers, Boston.
40. [40] Oh, H., Park, J., Seo, W., Development of a web-based gout self-management program. Orthop. Nurs. 30 (2011), 333–341 (quiz 342–333).
41. [41] Arnhold, M., Quade, M., Kirch, W., Mobile applications for diabetics: a systematic review and expert-based usability evaluation considering the special requirements of diabetes patients age 50 years or older. J. Med. Internet Res., 16, 2014, e104.
42. [42] Arsand, E., Skrovseth, S.O., Hejlesen, O., Horsch, A., Godtliebsen, F., Grottland, A., Hartvigsen, G., Mobile patient applications within diabetes—from few and easy to advanced functionalities. Stud. Health Technol. Inform., 192, 2013, 1010.
43. [43] Reynoldson, C., Stones, C., Allsop, M., Gardner, P., Bennett, M.I., Closs, S.J., Jones, R., Knapp, P., Assessing the quality and usability of smartphone apps for pain self-management. Pain Med. 15 (2014), 898–909.
44. [44] LeRouge, C., Dickhut, K., Lisetti, C., Sangameswaran, S., Malasanos, T., Engaging adolescents in a computer-based weight management program: avatars and virtual coaches could help. J. Am. Med. Inform. Assoc. 23 (2016), 19–28.
45. [45] LeRouge, C., Wickramasinghe, N., A review of user-centered design for diabetes-related consumer health informatics technologies. J. Diabetes Sci. Technol. 7 (2013), 1039–1056.