Daily assessment of rheumatoid arthritis disease activity using a smartphone application: Development and 3-month feasibility study

Nishiguchi, Shu; Ito, Hiromu; Yamada, Minoru; Furu, Moritoshi; Aoyama, Tomoki; Tsuboyama, Tadao; Ito, Tatsuaki; Shinohara, Akio; Ura, Tetsuya; Okamoto, Kazuya

doi:10.4108/icst.pervasivehealth.2014.255338

Cited by 8 publications

(10 citation statements)

References 17 publications

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“…Using these measures, Nishiguchi et al developed a model for predicting DAS28 levels. Later, the same model was tested in 9 patients with RA, who assessed their disease activity daily for 3 months using a smartphone . In this study, self‐assessed disease activity had a good correlation to the DAS28 at monthly clinic visits when the patient DAS28 score was low or moderate.…”

Section: Discussionmentioning

confidence: 80%

Automated Text Message–Enhanced Monitoring Versus Routine Monitoring in Early Rheumatoid Arthritis: A Randomized Trial

Kuusalo

Sokka‐Isler

Kautiainen

et al. 2020

Arthritis Care & Research

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Objective Frequent monitoring of patients with early rheumatoid arthritis (RA) is required for achieving good outcomes. This study was undertaken to investigate the influence of text message (SMS)–enhanced monitoring on early RA outcomes. Methods We randomized 166 patients with early, disease‐modifying antirheumatic drug–naive RA to receive SMS‐enhanced follow‐up or routine care. All patients attended visits at 0, 3, and 6 months, and a follow‐up visit at 12 months. Treatment was at the physicians’ discretion. The intervention included 13 SMSs during weeks 0–24 with questions concerning medication problems (yes/no) and disease activity (patient global assessment [PtGA], scale 0–10). Patients were contacted if response SMSs indicated medication problems or PtGA exceeded predefined thresholds. Primary outcome was 6‐month Boolean remission (no swollen or tender joints and normal C‐reactive protein levels). Quality of life (QoL; measured by the Short Form 36 survey) and Disease Activity Score in 28 joints (DAS28) were assessed. Results Six and 12‐month follow‐up data were available for 162 and 157 patients, respectively. In the intervention group, 46% of the patients (38 of 82) reported medication problems and 49% (40 of 82) reported text message PtGAs above the alarm limit. Remission rates at 6 months (P = 0.34) were 51% in the intervention group and 42% in the control group. These rates were 57% and 43% at 12 months (P = 0.17) in the intervention and control groups, respectively. The respective mean ± SD DAS28 scores for the intervention and control groups were 1.92 ± 1.12 and 2.22 ± 1.11 at 6 months (P = 0.09); and 1.79 ± 0.91 and 2.08 ± 1.22 at 12 months (P = 0.28). No differences in QoL were observed. Conclusion The study did not meet the primary outcome despite a trend favoring the intervention group. This may be explained by the notably high overall remission rates.

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Section: Discussionmentioning

confidence: 80%

Automated Text Message–Enhanced Monitoring Versus Routine Monitoring in Early Rheumatoid Arthritis: A Randomized Trial

Kuusalo

Sokka‐Isler

Kautiainen

et al. 2020

Arthritis Care & Research

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“…This focus theme discussed seven research works that presented varied solutions for the use of ICT for the patients' rehabilitation process, showing how the use of ICT has resolved or improved their daily life. Nishiguchi et al [7] investigated the feasibility of a self-assessment system for rheumatoid arthritis patients using a Smartphone application. Alternatively, the paper of Omelina et al [9] presented a camera-based method for identifying the patient and detecting interactions between the patient and the therapist during therapy, which helps to discriminate between active and passive motion of the patient, as well as to estimate the accuracy of the skeletal data.…”

Section: Discussionmentioning

confidence: 99%

“…Nishiguchi et al presented a study that investigated the feasibility of a self-assessment system for rheumatoid arthritis (RA) using a smartphone application [7]. They measured the daily disease activity over nine RA patients for a period of three months, using the Disease Activity Score (DAS28) predictive model [8].…”

Section: Self-assessment Of Rheumatoid Arthritis Disease Activity Usimentioning

confidence: 99%

Methodologies, Models and Algorithms for Patients Rehabilitation

Fardoun

Mashat²

2016

Methods Inf Med

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“…Pilot programs in adult rheumatic disease and other chronic health conditions have already identified the use of modern technology as a possible strategy to improve self-management; however, large scale studies specifically in JIA are still pending [8][9][10]. The feasibility of online self-assessment system has been performed over a 3-month period using a smart-phone application in only 9 Japanese Rheumatic Arthritis (RA) patients [8].…”

Section: Monitoring Symptoms and Disease Progression Using Interactivmentioning

confidence: 99%

“…The feasibility of online self-assessment system has been performed over a 3-month period using a smart-phone application in only 9 Japanese Rheumatic Arthritis (RA) patients [8]. The smart app provided daily notifications and comments related to the disease activity [8]. The size of this study was very small and 89% of patients were women; however, the results indicated that the app was capable of longitudinally predict the disease activity score in RA patients and it may be an acceptable and useful tool for both patients and healthcare providers [8].…”

Section: Monitoring Symptoms and Disease Progression Using Interactivmentioning

confidence: 99%

Harnessing interactive technologies to improve health outcomes in juvenile idiopathic arthritis

et al. 2017

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Background: Children and adolescents with Juvenile Idiopathic Arthritis (JIA) typically have reduced physical activity level and impaired aerobic and anaerobic exercise capacity when compared to their non-JIA counterparts. Low intensity exercise regimens appear to be safe in children with JIA and may results in improvements in overall physical function. Poor adherence to paediatric rheumatology treatment may lead to negative clinical outcomes and possibly increased disease activity. This includes symptoms such as pain, fatigue, quality of life, longer term outcomes including joint damage, as well as increase of healthcare associated costs. Low adherence to medications such as methotrexate and biological-drugs remains a significant issue for paediatric rheumatologists, with alarming reports that less than half of the children with JIA are compliant to drug-therapy. Main body: The recent advances in interactive technology resulting in a variety of wearable user-friendly smart devices may become a key solution to address important questions in JIA clinical management. Fully understanding the impact that arthritis and treatment complications have upon individual children and their families has long been a challenge for clinicians. Modern interactive technologies can be customised and accessed directly in the hands or wrists of children with JIA. These secured networks could be accessible 'live' at anytime and anywhere by the child, parents and clinicians. Multidisciplinary teams in paediatric rheumatology may benefit from adopting these technologies to better understand domains such as patient biological parameters, symptoms progression, adherence to drug-therapy, quality of life, and participation in physical activities. Most importantly the use of smart devices technologies may also facilitate more timely clinical decisions, improve self-management and parents awareness in the progression of their child's disease. Paediatric rheumatology research could also benefit from the use of these smart devices, as they would allow real-time access to meaningful data to thoroughly understand the disease-patterns of JIA, such as pain and physical activity outcomes. Data collection that typically occurs once every 1 or 3 months in the clinical setting could instead be gathered every week, day, minute or virtually live online. Arguably, few limitations in wearing such interactive technologies still exist and require further developments. Conclusion: Finally, by embracing and adapting these new and now highly accessible interactive technologies, clinical management and research in paediatric rheumatology may be greatly advanced.

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Daily assessment of rheumatoid arthritis disease activity using a smartphone application: Development and 3-month feasibility study

Cited by 8 publications

References 17 publications

Automated Text Message–Enhanced Monitoring Versus Routine Monitoring in Early Rheumatoid Arthritis: A Randomized Trial

Automated Text Message–Enhanced Monitoring Versus Routine Monitoring in Early Rheumatoid Arthritis: A Randomized Trial

Methodologies, Models and Algorithms for Patients Rehabilitation

Harnessing interactive technologies to improve health outcomes in juvenile idiopathic arthritis

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