Osteoarthritis is a chronic and degenerative joint disease which poses a major threat to the health of the elderly and poses a serious economic burden on health care worldwide.Continuous self-health management has a positive impact on many aspects of OA, so self-management is recognized as the only alternative to surgical treatment. But patients generally have poor self-management ability. With the vigorous promotion of "Internet + health care", the intervention of mobile medicine makes self-management more practical in patients. This paper reviews the application of mobile health in self-management of patients with osteoarthritis in order to provide reference for better self-management of osteoarthritis.

Gao Siyu, Liu Fang, Yang Lei. Application Progress of Mobile Health in Self-management of Patients with Osteoarthritis. Academic Journal of Medicine & Health Sciences (2021) Vol. 2, Issue 1: 88-93. https://doi.org/10.25236/AJMHS.2021.020115.

[1] Cisternas Miriam G, Murphy L, Sacks Jeffrey J,et al. Alternative methods for defining osteoarthritis and the impact on estimating prevalence in a US population-based survey. Arthritis Care Res 2016; 574-80.

[2] Hunter David J, Schofield D, Emily C. The individual and socioeconomic impact of osteoarthritis. Nat Rev Rheumatol 2014; 10 (7) : 437-41.

[3] James Spencer L, Abate D, Abate Kalkidan H, et al. Global, regional, and national incidence, prevalence, and years lived with disability for 354 Diseases and Injuries for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet 2018; 392 (10159) : 1789-858.

[4] Prevalence and impact of arthritis among women in the United States 1989-1991. JAMA 1995; 273 (23): 1820.

[5] Abramoff B, Caldera FE. Osteoarthritis: Pathology, Diagnosis, and Treatment Options. Med Clin North Am. 2020 Mar; 104 (2) : 293-311.

[6] Bannuru RR, Osani MC, Vaysbrot EE, et al. OARSI guidelines for the non-surgical management of knee, hip, and polyarticular osteoarthritis. Osteoarthritis Cartilage. 2019 Nov; 27 (11) : 1578-1589.

[7] An Jimei, Gao Xiaolian, Wu Guangjun. Study on self-management status and influencing factors of chronic disease patients [J]. South China Preventive Medicine, 2020, V. 46(05):123-125.

[8] Kroon FP, van der Burg LR, Buchbinder R, et al. Self-management education programmes for osteoarthritis. Cochrane Database Syst Rev. Epub ahead of print 15 January 2014.

[9] m-Health: Lessons Learned by m-Experiences[J]. Sensors, 2018, 18(5).

[10] Istepanian RSH,Laxminarayan S,Pattichis CS.Emerging Mobile Health Systems[J]. 2006.

[11] World Health Organization.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). 2011.

[12] Fedele DA, Cushing CC, Fritz A,et al. Mobile Health Interventions for Improving Health Outcomes in Youth:A Meta-analysis. JAMA Pediatr. 2017 May 1; 171 (5) : 461-469.

[13] Xie F, Kovic B, Jin X, et al. Economic and Humanistic Burden of Osteoarthritis: A Systematic Review of Large Sample Studies. Pharmacoeconomics. 2016 Nov; 34 (11) : 1087-1100.

[14] DB Danbjørg, Gill E, Villadsen A, et al. Usage of an Exercise App in the Care of People With Osteoarthritis: User-Driven Exploratory Study[J]. Jmir Mhealth & Uhealth, 2018, 6(1):e11.

[15] Ferket BS, Feldman Z, Zhou J,,et al. Impact of total knee replacement practice:cost effectiveness analysis of data from the Osteoarthritis Initiative. BMJ 2017; 356:j1131.

[16] Lorig K R, Holman H R. Self-management education:History, definition, outcomes, and mechanisms[J]. Annals of Behavioral Medicine, 2003(1):1-7.

[17] LN Støme, Pripp A H, JS Kværner, et al. usability and utility of a personalised application in promoting behavioural change in patients with osteoarthritis:A feasibility study in Norway[J]. BMJ Open, 2019, 9(1).

[18] Obro LF, Heiselberg K, Krogh PG,et al.Combining mHealth and health-coaching for improving self-management in chronic care. A scoping review. Patient Educ Couns. 2021 Apr; 104 (4) : 680-688.

[19] Lin Zizi, Wu Shanyu.Application research of mobile health in chronic disease management in China [J]. Chinese General Practice,2018.

[20] Orr J A , King R J.Mobile phone SMS messages can enhance healthy behaviour:a meta-analysis of randomised controlled trials[J]. Health Psychology Review, 2015, 9(4):397-416.

[21] Preventive Health Behavior Change Text Message Interventions:A Meta-analysis[J]. AMERICAN JOURNAL OF PREVENTIVE MEDICINE, 2017, 52(3):391-402.

[22] Nelligan RK, Hinman RS, Kasza J, et al.Effect of a short message service (SMS) intervention on adherence to a physiotherapist-prescribed home exercise program for people with knee osteoarthritis and obesity: protocol for the ADHERE randomised controlled trial. BMC Musculoskelet Disord. 2019 Sep 14; 20 (1) : 428.

[23] Bennell K, Nelligan RK, Schwartz S ,et al. Behavior Change Text Messages for Home Exercise Adherence in Knee Osteoarthritis: Randomized Trial. J Med Internet Res. 2020 Sep 28; 22(9):e21749.

[24] Aungst TD, Clauson KA, Misra S, How to identify,assess and utilise mobile medical Applications in clinical Practice [J]. Int J Clin Pract, 2014,68 (2) : 155-162.

[25] Hoogland J , Wijnen A , Munsterman T,et al. Feasibility and Patient Experience of a Home-Based Rehabilitation Program Driven by a Tablet App and Mobility Monitoring for Patients After a Total Hip Arthroplasty[J]. JMIR mHealth and uHealth, 2019, 7(1).

[26] Pelle T ,Bevers K ,Palen J , et al. Effect of the dr. Bart application on healthcare use and clinical outcomes in people with osteoarthritis of the knee and/or hip in the Netherlands;a Randomized Controlled Trial[J]. Osteoarthritis and Cartilage, 2020, 28(4).

[27] Barber T,Sharif B,Teare S,et al. Qualitative study to elicit patients' and primary care physicians' perspectives on the use of a self-management mobile health application for knee osteoarthritis[J]. BMJ Open, 2019, 9(1).

[28] Ananthanarayan S, Siek KA. Persuasive wearable technology design for health and wellness. Pervasive Health, 2012: 236-240.

[29] Ahad MAR, Ngo TT, Antar AD, et al. Wearable Sensor-Based Gait Analysis for Age and Gender Estimation. Sensors (Basel). 2020 Apr 24; 20 (8) : 2424.

[30] Belsi A , Papi E ,Mcgregor A H . Impact of wearable technology on psychosocial factors of osteoarthritis management: a qualitative study[J]. BMJ Open, 2016, 6(2):e010064.

[31] Enrica, Papi, Athina, et al. A knee monitoring device and the preferences of patients living with osteoarthritis: a qualitative study[J]. BMJ open, 2015.

[32] Liu Haoyi, Chen Jianfang, Zhang Weiying, et al. Construction of standardized telephone return visit model for orthopedics [J]. Journal of PLA Hospital Management, 2018, V. 25; No.204(04):13-15.

[33] Yang Li, Xu Zhiwei, Zhang Jun. Effect of telephone follow-up guidance on self-management of outpatient patients injected with joint improvement fluid [J]. Chinese Journal of Disability Medicine, 2018(18):10-12.

[34] Li Xin-yue, ZHU Qing-hua, ZHAO Ying. Research on WeChat information sharing behavior of the elderly [J]. Modern Information, 2021,41(7):74-84.

[35] Tan Chunhui, Yi Ya, Li Li. Research on influencing Factors of users' Intention to continue using academic WeChat official Accounts [J]. Modern Information, 41(1):11.

[36] Wang Yunlin, Chen Hongbo, Chen Jieru, et al. Effect of home exercise intervention based on WeChat in elderly patients with knee osteoarthritis[J]. Chinese journal of modern nursing, 2020,26(27):3788-3794.

[37] Zou Huihua, LI Haiting, Xing Linbo, et al. Effect of WeChat platform in continuous care of patients with knee osteoarthritis [J]. China Digital Medicine, 2017(7).

[38] Chinese Journal of Digital Medicine. Creating a New Digital Health Era [J].Chinese Journal of Digital Medicine, 2021,16(1):1.