Which Educational Topics and Smartphone App Functions Are Prioritized by US Patients With Rheumatic and Musculoskeletal Diseases? A Mixed-Methods Study.

OBJECTIVE: We sought to identify (1) what types of information US adults with rheumatic and musculoskeletal diseases (RMD) perceive as most important to know about their disease, and (2) what functions they would use in an RMD-specific smartphone app. METHODS: Nominal groups with patients with RMD were conducted using online tools to generate a list of needed educational topics. Based on nominal group results, a survey with final educational items was administered online, along with questions about desired functions of a smartphone app for RMD and wearable use, to patients within a large community rheumatology practice-based research network and the PatientSpot registry. Chi-square tests and multivariate regression models were used to determine differences in priorities between groups of respondents with rheumatic inflammatory conditions (RICs) and osteoarthritis (OA), and possible associations. RESULTS: At least 80% of respondents considered finding a rheumatologist, understanding tests and medications, and quickly recognizing and communicating symptoms to doctors as extremely important educational topics. The highest-ranked topic for both RIC and OA groups was "knowing when the medication is not working." The app functions that most respondents considered useful were viewing laboratory results, recording symptoms to share with their rheumatology provider, and recording symptoms (eg, pain, fatigue) or disease flares for health tracking over time. Approximately one-third of respondents owned and regularly used a wearable activity tracker. CONCLUSION: People with RMD prioritized information about laboratory test results, medications, and disease and symptom monitoring, which can be used to create educational and digital tools that support patients during their disease journey.

Wearable activity tracker study exploring rheumatoid arthritis patients' disease activity using patient-reported outcome measures, clinical measures, and biometric sensor data (the wear study).

Background: Digital health studies using electronic patient reported outcomes (ePROs), wearables, and clinical data to provide a more comprehensive picture of patient health. Methods: Newly initiated patients on upadacitinib or adalimumab for RA will be recruited from community settings in the Excellence NEtwork in RheumatoloGY (ENRGY) practice-based research network. Over the period of three to six months, three streams of data will be collected (1) linkable physician-derived data; (2) self-reported daily and weekly ePROs through the ArthritisPower registry app; and (3) biometric sensor data passively collected via wearable. These data will be analyzed to evaluate correlations among the three types of data and patient improvement on the newly initiated medication. Conclusions: Results from this study will provide valuable information regarding the relationships between physician data, wearable data, and ePROs in patients newly initiating an RA treatment, and demonstrate the feasibility of digital data capture for Remote Patient Monitoring of patients with rheumatic disease.