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.
Augmented Reality is a technique that enables users to interact with their physical environment through the overlay of digital information. While being researched for decades, more recently, Augmented Reality moved out of the research labs and into the field. While most of the applications are used sporadically and for one particular task only, current and future scenarios will provide a continuous and multi-purpose user experience. Therefore, in this paper, we present the concept of Pervasive Augmented Reality, aiming to provide such an experience by sensing the user's current context and adapting the AR system based on the changing requirements and constraints. We present a taxonomy for Pervasive Augmented Reality and context-aware Augmented Reality, which classifies context sources and context targets relevant for implementing such a context-aware, continuous Augmented Reality experience. We further summarize existing approaches that contribute towards Pervasive Augmented Reality. Based our taxonomy and survey, we identify challenges for future research directions in Pervasive Augmented Reality.
Background Providing timely follow-up care for patients with inflammatory bowel disease in remission is important but often difficult because of resource limitations. Using smartphones to communicate symptoms and biomarkers is a potential alternative. We aimed to compare outpatient management using 2 smartphone apps (IBDsmart for symptoms and IBDoc for fecal calprotectin monitoring) vs standard face-to-face care. We hypothesized noninferiority of quality of life and symptoms at 12 months plus a reduction in face-to-face appointments in the smartphone app group. Methods Inflammatory bowel disease outpatients (previously seen more often than annually) were randomized to smartphone app or standard face-to-face care over 12 months. Quality of life and symptoms were measured quarterly for 12 months. Acceptability was measured for gastroenterologists and patients at 12 months. Results One hundred people (73 Crohn’s disease, 49 male, average age 35 years) consented and completed baseline questionnaires (50 in each group). Intention-to-treat and per-protocol analyses revealed noninferiority of quality of life and symptom scores at 12 months. Outpatient appointment numbers were reduced in smartphone app care (P < 0.001). There was no difference in number of surgical outpatient appointments or number of disease-related hospitalizations between groups. Adherence to IBDsmart (50% perfect adherence) was slightly better than adherence to IBDoc (30% perfect adherence). Good acceptability was reported among most gastroenterologists and patients. Conclusions Remote symptom and fecal calprotectin monitoring is effective and acceptable. It also reduces the need for face-to-face outpatient appointments. Patients with mild-to-moderate disease who are not new diagnoses are ideal for this system. Clinical Trial Registration Number ACTRN12615000342516.
Figure 1: Common labeling as used in many AR browsers (Left) compared to our image-based approach (Right). Position of the labels can be automatically optimized, but also their appearance, including depth cue for the labels' anchor or their leader lines.
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