Background The use of eHealth tools (eg, the internet, mobile apps, and connected devices) in the management of chronic diseases and for rheumatoid arthritis is growing. eHealth may improve the overall quality of care provided to patients with chronic diseases. Objective The primary objective of this study was to describe eHealth use by patients with rheumatoid arthritis in France. The secondary objectives were to identify associations between patient demographics and disease characteristics and the use of eHealth tools, and assess their expectations of eHealth. Methods In this cross-sectional, multicenter study, patients with rheumatoid arthritis, according to the 2010 ACR/EULAR classification criteria, were recruited from 5 university hospitals (Bordeaux, Clermont-Ferrand, Limoges, Montpellier, and Toulouse). Patients completed an anonymous self-questionnaire, including demographic data, evaluating their eHealth use (ie, access, support, frequency of use, type of use, and reason for use). The rheumatologist in charge of each patient completed an independent medical questionnaire on disease characteristics, activity of rheumatoid arthritis, and treatments. Data were collected between December 2018 and July 2019. Results Questionnaires were completed by 575 participants, with a mean age of 62 (SD 13) years, 447 (77.7%) of whom were female. Overall, 82.2% (473/575) of the participants had access to eHealth through a computer (402/467, 86.1%), tablet (188/467, 40.2%), or smartphone (221/467, 47.3%). Of these, 36.4% (170/467) of the participants used the internet for health in general, and 28.7% (134/467) used it specifically for rheumatoid arthritis–related reasons. All these 134 patients used eHealth to learn about disease pathology, and 66.4% (89/134) of them used it as a tool to help monitor rheumatoid arthritis. Most patients (87/125, 69.6%) had a paper file, 19.2% (24/125) used a digital tool (spreadsheets, 10/125, 8%; mobile app, 9/125, 7.2%; or website, 5/125, 4%), and 24.8% (31/125) did not use any tools for monitoring. Few patients (16/125, 12.8%) used tools for treatment reminders. About 21.6% (27/125) of the patients using eHealth used a specific app for rheumatoid arthritis. Univariate analysis showed that age, education level, employment status, treatment, comorbidities, membership of a patient association, and patient education program were associated with eHealth use for rheumatoid arthritis. Multivariate analysis showed that membership of a patient association (odds ratio [OR] 5.8, 95% CI 3.0-11.2), use of biologic disease-modifying antirheumatic drugs (OR 0.6, 95% CI 0.4-1.0), and comorbidities (OR 0.7, 95% CI 0.6-0.8) remained associated with eHealth use for rheumatoid arthritis. Recommendation by a doctor (225/330, 68.2%), ease of use (105/330, 31.8%), and data security (69/330, 20.9%) were factors favoring the use of eHealth. Conclusions To date, few patients have used eHealth for disease management. The use of a reliable and validated eHealth tool for rheumatoid arthritis could therefore be promoted by rheumatologists and could optimize therapeutic adherence.
BACKGROUND The use of eHealth tools (internet, mobile applications, connected devices) in chronic diseases and in the field of rheumatoid arthritis (RA) is growing. eHealth may improve the overall quality of care of patients suffering from chronic diseases. OBJECTIVE The main objective of this study was to describe the use of eHealth by patients with RA in France. The secondary objectives were to identify associations between demographic and disease characteristics and eHealth tools use and also to assess patients’ expectations for eHealth. METHODS We conducted a cross-sectional, multicenter study. Patients with RA according to the ACR / EULAR 2010 criteria were recruited in 5 University Hospitals (Bordeaux, Clermont-Ferrand, Limoges, Montpellier and Toulouse). Patients completed an anonymous self-questionnaire including demographic data, assessment of the use of eHealth (access, support, frequency of use, type of use, reason for use). The rheumatologist in charge of the patient completed an independent medical questionnaire collecting the disease characteristics, the activity of RA and the treatments. Data were collected from December 2018 to July 2019. RESULTS The questionnaires were completed by 575 patients, with an average age of 62±13 years, 78% of whom were women. 473 (82%) patients had access to eHealth through a computer (n=402 (86%)), a tablet (n=188 (40%)) or a smartphone (n=221 (47%)). Among them, 170 (37%) used internet for health in general and 134 (29%) specifically for RA. Regarding the use of eHealth for RA, all patients used it to learn about the pathology and 89 (66%) as a tool to help monitoring RA. Most of them (n=87, (70%)) had a paper file, 24/125 patients (19%) used a digital tool (spreadsheet n=10, 8% and/or mobile application n=9, 7% and/or website n=5, 4%) and 31 patients (25%) did not use a tool to monitor their RA. Few patients (12%) used numeric reminders of treatments. A specific application for RA was used by 27 patients (21%) using eHealth. Age, level of study, employment, treatment, comorbidities, membership of a patient association and patient education program were associated with the use of eHealth for RA in univariate analysis. In multivariate analysis, membership of patient association (OR: 5.8 [3.0-11.2]), bDMARDs use (OR: 0.6 [0.4-1]) and comorbidities (OR: 0.7 [0.6-0.8]) remained associated with eHealth use for RA. According to the patients, recommendation by a doctor (n=225, 68%), ease of use (n=105, 32%) and data security (n=69, 21%) were the factors that would favor the use of eHealth. CONCLUSIONS To date, few patients have used eHealth for their disease. The use of a reliable and validated eHealth tool in RA could therefore be promoted by rheumatologists and could optimize the therapeutic adherence. CLINICALTRIAL NCT03754855
Background:Rheumatoid arthritis (RA) patients are at increased risk of infections, some of which could be prevented in part by vaccination (1). Influenza and pneumococcal vaccines are recommended in RA (2). However, vaccination coverage of these patients remains very low. Five years ago, we found in a previous study that vaccination rates in France were 55% for pneumococcal and 60% for influenza vaccines (3).Objectives:The aim of our study was to evaluate the vaccination rate among RA patients, compare it with our previous results, and identify factors associated with non-vaccination.Methods:We conducted a cross sectional multicentric observational study in the rheumatology departments of 5 university hospitals in France. Data were collected from December 2018 to July 2019. Outpatients and hospitalized adult patients with RA according to the ACR/EULAR 2010 criteria were included. Data were collected during a single visit through an anonymous questionnaire completed by the patients. Pearson Chi-squared analysis and multivariable logistic regression were used to compare characteristics of vaccinated versus non vaccinated patients.Results:584 patients (77.9% of women, mean age 61.8±12.6 years old) were included. 81.7% were RF and/or ACPA positive, with a mean RA duration of 15.7±10.5 years, 58.2% were treated with methotrexate (MTX), and 68.6% with a biologic. Vaccination rate against pneumococcal was 78.9% (versus 55% in 2013, p<0.0001) and 60.4% for influenza (versus 60% in 2013). The main reason for non-vaccination was absence of vaccine proposal (59.2%) for pneumococcal, and fear of vaccines (56.7%) for influenza. In the multivariate analysis, a higher level of education (OR [CI95] 4.4 [2.3-8.4], p<0.0001), a very good opinion on vaccination (2.1 [1.1-4.1], p=0.003), vaccination against influenza done (2.3 {1.3-4.2], p=0.006), and exposure to biologics (4.0 [2.2-7.4], p<0.0001) were associated with vaccination against pneumococcal. Age over 65 years old (2.0 [1.2-3.2], p=0.006), participation in a patients’ association (3.6 [1.4-8.9], p=0.006), vaccination against pneumococcal done (2.4 [1.3-4.5], p=0.004), exposure to biologics (2.1 [1.2-3.7], p=0.006), a good (3.3 [1.4-8.9], p=0.03) and a very good opinion on vaccination (6.6 [2.8-15.6], p<0.0001) were associated with vaccination against influenza.Conclusion:Vaccination rate against pneumococcal increased over the last 5 years but remained stable for influenza vaccine in French RA patients. This could be improved with patient’s information and education, especially in patients age under 65, biologic naïve and with a bad opinion about vaccination.References:[1] Doran MF, Crowson CS et al. Arthritis Rheum. 2002 Sep;46(9):2287–93.[2]van Assen S, Agmon-Levin N et al. Ann Rheum Dis. 2011 Mar;70(3):414–22.[3] Hua C, Morel J et al. Rheumatol Oxf Engl. 2015 Apr;54(4):748–50.Disclosure of Interests:Claire Rempenault: None declared, Thomas Barnetche: None declared, Marion Magnol: None declared, Benjamin Castagne: None declared, marine pugibet: None declared, Eleonore Berard: None declared, Marie-Elise Truchetet: None declared, Pascale Vergne-Salle: None declared, Anne Tournadre: None declared, Adeline Ruyssen-Witrand Grant/research support from: Abbvie, Pfizer, Consultant of: Abbvie, BMS, Lilly, Mylan, Novartis, Pfizer, Sandoz, Sanofi-Genzyme, Cédric Lukas: None declared
Background:The use of eHealth tools (internet, mobile applications, connected devices) in chronic diseases and in the field of rheumatoid arthritis (RA) is growing (1). eHealth may improve the overall care of patients suffering from chronic diseases (2,3).Objectives:The main objective of this study was to describe the use of eHealth by RA patients in France. The secondary objectives were to identify differences in demographic and disease characteristics between patients using eHealth tools or not. We also assessed patients’ expectations about digital devices.Methods:We conducted a cross-sectional, multicenter study. Patients with RA according to the ACR / EULAR 2010 criteria were recruited in 5 university hospitals (Bordeaux, Clermont-Ferrand, Limoges, Montpellier and Toulouse). Patients completed an anonymous self-questionnaire including demographic data, assessment about the use of eHealth (access, support, frequency of use, type of use, reason for use). The treating rheumatologist of the patient filled in an independent medical questionnaire collecting the disease characteristics, the activity of RA and the treatments. Data were collected from December 2018 to July 2019.Results:The questionnaires were completed by 575 patients, with an average age of 62±13 years, 78% of whom were women. 473 (82%) patients had access to eHealth through a computer (n=402, 86%), a tablet (n=188, 40%) and/or a smartphone (n=221, 47%). Among them, 36% (170/473) used internet for health in general and 29% (134/473) specifically for RA. Regarding the use of eHealth for RA, all patients used it to learn about their disease and 66% (89/134) as a tool to help monitoring RA. Most of them (n=87/125, 70%) had a paper medical record, 24/125 patients (19%) used a digital tool (spreadsheet n=10, 8% and / or mobile application n=9, 7% and / or website n=5, 4%) and 31/125 patients (25%) did not use any tool to monitor their RA. Few patients (16/126, 13%) used numeric reminders for their treatments. A specific application for RA was used by 27/127 patients (21%) using eHealth. Age, level of study, employment, treatment, comorbidities, membership of a patient association group and patient education program were associated with the use of eHealth for RA in univariate analysis. In multivariate analysis, membership of patient’s association (OR: 5.8 [3.0-11.2]), bDMARDs use (OR: 0.6 [0.4-1]) and comorbidities (OR: 0.7 [0.6-0.8]) remained associated with eHealth use for RA. According to the patients, recommendation by a doctor (n=225/330, 68%), ease of use (n=105/330, 32%) and data security (n=69/330, 21%) were the factors that would favor the use of eHealth.Conclusion:To date, few patients used eHealth for their disease. The use of a reliable and validated eHealth tool in RA could therefore be promoted by rheumatologist and might optimize the therapeutic adherence.References:[1]Mosa ASM, Yoo I, Sheets L. A systematic review of healthcare applications for smartphones. BMC Med Inform Decis Mak. 10 juill 2012;12:67.[2]Lorig KR, Ritter PL, Laurent DD, Plant K. The internet-based arthritis self-management program: a one-year randomized trial for patients with arthritis or fibromyalgia. Arthritis Rheum. 15 juill 2008;59(7):1009‑17.[3]Charpentier G, Benhamou P-Y, Dardari D, Clergeot A, Franc S, Schaepelynck-Belicar P, et al. The Diabeo software enabling individualized insulin dose adjustments combined with telemedicine support improvesDisclosure of Interests:Marion Magnol: None declared, Eleonore Berard: None declared, Claire Rempenault: None declared, Benjamin Castagne: None declared, marine pugibet: None declared, Cédric Lukas: None declared, Anne Tournadre: None declared, Pascale Vergne-Salle: None declared, Thomas Barnetche: None declared, Marie-Elise Truchetet: None declared, Adeline Ruyssen-Witrand Grant/research support from: Abbvie, Pfizer, Consultant of: Abbvie, BMS, Lilly, Mylan, Novartis, Pfizer, Sandoz, Sanofi-Genzyme
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