Self-Assessment Tool of Disease Activity of Rheumatoid Arthritis by Using a Smartphone Application

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

doi:10.1089/tmj.2013.0162

Cited by 50 publications

(28 citation statements)

References 31 publications

(35 reference statements)

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“…Compared to our study, 3 previous remote disease activity assessment studies have used different, significantly more complex approaches. A cross‐sectional study by Nishiguchi et al of 65 patients demonstrated that a smartphone application can be used for measuring RA disease activity . In this study, patients gave a disease activity assessment using the modified HAQ, self‐assessed tender and swollen joint counts, and self‐measured their gait using an accelerometer.…”

Section: Discussionmentioning

confidence: 99%

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: 99%

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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“…Only apps available in New Zealand app stores and in English language were included. An app for patient-led monitoring of RA disease activity has been developed in Japanese, which includes ACR and EULAR recommended instruments and diseases activity measures [12]. However, a preliminary search of the iTunes stores of 4 other English-speaking countries with the term “rheumatoid arthritis” suggested that the search of the New Zealand app stores has captured all relevant apps in the English language.…”

Section: Discussionmentioning

confidence: 99%

“…Younger age, current smartphone ownership, and use of email, Internet, and short messaging services were all associated with willingness to use apps for RA self-management. A small Japanese study reported that patient self-reported disease activity data using validated instruments correlated well with rheumatologist-assessed RA disease activity [12]. Furthermore, there is some evidence that mHealth interventions such as smartphone apps may improve outcomes for people with other chronic diseases [7,13,14].…”

Section: Introductionmentioning

confidence: 99%

Apps for People With Rheumatoid Arthritis to Monitor Their Disease Activity: A Review of Apps for Best Practice and Quality

Grainger¹,

Townsley²,

White³

et al. 2017

JMIR Mhealth Uhealth

140

110

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BackgroundRheumatoid arthritis (RA) is a chronic inflammatory arthritis requiring long-term treatment with regular monitoring by a rheumatologist to achieve good health outcomes. Since people with RA may wish to monitor their own disease activity with a smartphone app, it is important to understand the functions and quality of apps for this purpose.ObjectiveThe aim of our study was to assess the features and quality of apps to assist people to monitor their RA disease activity by (1) summarizing the available apps, particularly the instruments used for measurement of RA disease activity; (2) comparing the app features with American College of Rheumatology and European League against Rheumatism (ACR and EULAR) guidelines for monitoring of RA disease activity; and (3) rating app quality with the Mobile App Rating Scale (MARS).MethodsSystematic searches of the New Zealand iTunes and Google Play app stores were used to identify all apps for monitoring of RA disease activity that could be used by people with RA. The apps were described by both key metadata and app functionality. App adherence with recommendations for monitoring of RA disease activity in clinical practice was evaluated by identifying whether apps included calculation of a validated composite disease activity measure and recorded results for future retrieval. App quality was assessed by 2 independent reviewers using the MARS.ResultsThe search identified 721 apps in the Google Play store and 216 in the iTunes store, of which 19 unique apps met criteria for inclusion (8 from both app stores, 8 iTunes, and 3 Google Play). In total, 14 apps included at least one validated instrument measuring RA disease activity; 7 of 11 apps that allowed users to enter a joint count used the standard 28 swollen and tender joint count; 8 apps included at least one ACR and EULAR-recommended RA composite disease activity (CDA) measure; and 10 apps included data storage and retrieval. Only 1 app, Arthritis Power, included both an RA CDA measure and tracked data, but this app did not include the standard 28 tender and swollen joint count. The median overall MARS score for apps was 3.41/5. Of the 6 apps that scored ≥4/5 on the overall MARS rating, only 1 included a CDA score endorsed by ACR and EULAR; however, this app did not have a data tracking function.ConclusionsThis review found a lack of high-quality apps for longitudinal assessment of RA disease activity. Current apps fall into two categories: simple calculators primarily for rheumatologists and data tracking tools for people with RA. The latter do not uniformly collect data using validated instruments or composite disease activity measures. There is a need for appropriate, high-quality apps for use by rheumatologists and patients together in co-management of RA.

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“…The smartphones are widely popular devices, and the rapidity of app development is a fertile soil for developing many low-cost systems providing a lot of data about daily life activities of subjects (for example, many apps assessing running performance are already available for joggers). Recent studies showed a degree of accuracy using smartphone with a gait analysis app comparable to that of a conventional tri-axial accelerometer specifically developed for gait assessment (ICC ranging between 0.75 to 0.90, validity p<0.01) [160,161].…”

Section: Five Year Perspective Viewmentioning

confidence: 99%

Wearable inertial sensors for human movement analysis

Iosa

Picerno

Paolucci

et al. 2016

Expert Review of Medical Devices

221

144

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Six main areas of application are analysed: gait analysis, stabilometry, instrumented clinical tests, upper body mobility assessment, daily-life activity monitoring and tremor assessment. Each area is analyzed both from a methodological and applicative point of view. The focus on the methodological approaches is meant to provide an idea of the computational complexity behind a variable/parameter/index of interest so that the reader is aware of the reliability of the approach. The focus on the application is meant to provide a practical guide for advising clinicians on how inertial sensors can help them in their clinical practice. Expert commentary: Less expensive and more easy to use than other systems used in human movement analysis, wearable sensors have evolved to the point that they can be considered ready for being part of routine clinical routine.

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Self-Assessment Tool of Disease Activity of Rheumatoid Arthritis by Using a Smartphone Application

Abstract: The results suggest that noninvasive self-assessment of a combination of joint symptoms, limitations of daily activities, and walking ability can adequately predict disease activity of RA with a smartphone application.

Cited by 50 publications

References 31 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

Apps for People With Rheumatoid Arthritis to Monitor Their Disease Activity: A Review of Apps for Best Practice and Quality

Wearable inertial sensors for human movement analysis

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