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.

Participant Engagement and Adherence to Providing Smartwatch and Patient-Reported Outcome Data: Digital Tracking of Rheumatoid Arthritis Longitudinally (DIGITAL) Real-World Study.

BACKGROUND: Digital health studies using electronic patient-reported outcomes (ePROs) and wearables bring new challenges, including the need for participants to consistently provide trial data. OBJECTIVE: This study aims to characterize the engagement, protocol adherence, and data completeness among participants with rheumatoid arthritis enrolled in the Digital Tracking of Arthritis Longitudinally (DIGITAL) study. METHODS: Participants were invited to participate in this app-based study, which included a 14-day run-in and an 84-day main study. In the run-in period, data were collected via the ArthritisPower mobile app to increase app familiarity and identify the individuals who were motivated to participate. Successful completers of the run-in period were mailed a wearable smartwatch, and automated and manual prompts were sent to participants, reminding them to complete app input or regularly wear and synchronize devices, respectively, during the main study. Study coordinators monitored participant data and contacted participants via email, SMS text messaging, and phone to resolve adherence issues per a priori rules, in which consecutive spans of missing data triggered participant contact. Adherence to data collection during the main study period was defined as providing requested data for >70% of 84 days (daily ePRO, ≥80% daily smartwatch data) or at least 9 of 12 weeks (weekly ePRO). RESULTS: Of the 470 participants expressing initial interest, 278 (59.1%) completed the run-in period and qualified for the main study. Over the 12-week main study period, 87.4% (243/278) of participants met the definition of adherence to protocol-specified data collection for weekly ePRO, and 57.2% (159/278) did so for daily ePRO. For smartwatch data, 81.7% (227/278) of the participants adhered to the protocol-specified data collection. In total, 52.9% (147/278) of the participants met composite adherence. CONCLUSIONS: Compared with other digital health rheumatoid arthritis studies, a short run-in period appears useful for identifying participants likely to engage in a study that collects data via a mobile app and wearables and gives participants time to acclimate to study requirements. Automated or manual prompts (ie, "It's time to sync your smartwatch") may be necessary to optimize adherence. Adherence varies by data collection type (eg, ePRO vs smartwatch data). INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/14665.

A Real-World Effectiveness Study Using a Mobile Application to Evaluate Early Outcomes with Upadacitinib in Rheumatoid Arthritis.

INTRODUCTION: The impact of upadacitinib on rheumatoid arthritis (RA) symptoms was evaluated during the first 12 weeks of treatment via patient-reported outcomes (PROs) using a mobile health application (app). METHODS: Participating rheumatologists from the CorEvitas RA Registry (prospective, observational cohort) recruited patients with RA initiating upadacitinib treatment. A modified version of the ArthritisPower® app was used to collect PROs, including the Routine Assessment of Patient Index Data 3 (RAPID3), duration of morning joint stiffness, and the Patient-Reported Outcomes Measurement Information System (PROMIS)-Fatigue 7a Short Form at baseline and weeks 1-4, 8, and 12. RAPID3 responses over time were assessed using Kaplan-Meier estimation to determine the proportion of patients achieving disease activity improvement and minimal clinically important difference (MCID). Results were analyzed for all patients initiating upadacitinib and a subsample of TNF inhibitor (TNFi)-experienced patients with moderate to severe disease at baseline. RESULTS: A total of 103 patients with RA initiating upadacitinib (62.1% TNFi-experienced) were included. At week 12, 53 patients (51.4%) completed the study and provided PRO data via the app. Among all patients, improvements in RAPID3, pain, morning stiffness, and fatigue were observed at week 1 and were maintained or further improved through week 12. At week 12, 37.5% of patients achieved RAPID3 low disease activity. Starting at week 1, improvements in RAPID3 disease activity category (19.4% of patients) and achievement of MCID (16.3%) were reported, with nearly 50% of patients achieving these outcomes by week 4 (RAPID3 category: 48.8%; MCID: 49.2%) and 60% by week 12 (RAPID3 category: 59.6%; MCID: 59.8%). TNFi-experienced patients generally reported similar outcomes. Patient-reported medication convenience and compliance were generally high. CONCLUSIONS: In this real-world cohort of patients with RA, treatment with upadacitinib was associated with early and significant improvement in RAPID3, pain, morning stiffness, and fatigue regardless of prior TNFi experience. Clinically meaningful improvement in RAPID3 patient-reported disease activity was observed as early as week 1, with continued improvement reported through week 12.

Understanding Heterogeneity in Patients' Conceptualisation of Treatment for Rheumatoid Arthritis: A Cluster Analysis.

OBJECTIVE: Uptake of treat-to-target (TTT) strategies for rheumatoid arthritis (RA) management is low. Our objective was to understand the heterogeneity in patients' conceptualisation of RA treatment to inform interventions improving TTT uptake. DESIGN: Eligible participants recruited from an online research registry rated 56 items (on 5-point scales) reflecting concepts raised from patient interviews. Using items describing adhering to physician recommendations to create a binary criterion variable for medication adherence, we conducted a principal components analysis on the remaining items using Varimax rotation, describing how these factors predict adherence over and above demographic characteristics. We further use optimal sets in regression to identify the individual concepts that are most predictive of medication adherence. RESULTS: We found significant heterogeneity in patients' conceptualisation of RA treatment among 621 persons with RA. A scree plot revealed a four-factor solution explained 38.4% of the variance. The four factors expected to facilitate TTT uptake were (% variance explained): (1) Access to high quality care and support (11.3%); (2) low decisional conflict related to changing disease-modifying antirheumatic drugs (DMARDs) (10.1%); (3) endorsement of a favourable DMARD risk/benefit ratio (9.9%); and (4) confidence that testing reflects disease activity (7.2%). These factors account for 13.8% of the variance in full medication adherence, fully explaining the only significant demographic predictor, age of the patient. The individual items most predictive of poor adherence centre on the lack of effective patient-physician communication, specifically insufficient access to information from rheumatologists, along with the need to seek information elsewhere. CONCLUSION: Patients' conceptualisation of RA treatment varies; however, almost all patients have difficulty escalating DMARDs, even with access to quality information and an understanding of the benefits of TTT. Tailored interventions are needed to address patient hesitancy to escalate DMARDs.

Patient Perceptions of Rheumatoid Arthritis Blood Work: A Cross-Sectional Survey in the ArthritisPower Registry.

OBJECTIVE: To examine how patients with rheumatoid arthritis (RA) perceive RA-related laboratory testing and the potential utility of a blood test to predict treatment response to a new RA medication. METHODS: ArthritisPower members with RA were invited to participate in a cross-sectional survey on reasons for laboratory testing plus a choice-based conjoint analysis exercise to determine how patients value different attributes of a biomarker-based test to predict treatment response. RESULTS: Most patients perceived that their doctors ordered laboratory tests to check for active inflammation (85.9%) or assess medication side effects (81.2%). The most commonly ordered blood tests used to monitor RA were complete blood counts, liver function tests, and those measuring C-reactive protein (CRP) and erythrocyte sedimentation rate. Patients felt CRP was most helpful in understanding their disease activity. Most worried their current RA medication would eventually stop working (91.4%) and they would waste time trying a new RA medication that may not work for them (81.7%). For patients who would require a future change in RA treatment, a majority (89.2%) reported that they would be very/extremely interested in a blood test that could help predict whether such new medication would be effective. Highly accurate test results (improving the chance RA medication will work from 50% to 85-95%) were more important to patients than low out-of-pocket cost (<$20) or minimal wait time (<7 days). CONCLUSIONS: Patients consider RA-related blood work important for monitoring of inflammation and medication side effects. They worry about treatment effectiveness and would undergo testing to accurately predict treatment response.

Balancing COVID-19 Risk With Physical and Mental Wellness: Perspectives of Patients With Autoimmune Rheumatic Diseases Throughout the Pandemic.

OBJECTIVE: Patients with autoimmune rheumatic diseases (ARDs) are at greater risk of COVID-19 infection and hospitalization, increasing the stress and uncertainty already associated with unpredictable conditions. These may be heightened for patients with ARDs from underrepresented minority backgrounds. This study aimed to explore patient experiences and ARD-related challenges during the first year of the pandemic. METHODS: Between December 2020 and May 2021, 60-minute semistructured interviews were conducted with English- and Spanish-speaking adults, aged 18 years or older with self-reported diagnosis of ARD, via phone or videoconferencing using an interview guide on living with an ARD during the pandemic. Analysis combined methods of phenomenology and content analysis through three steps: 1) summarizing interviews, 2) iteratively refining units of meaning, and 3) axial and selective coding to determine cross-cutting themes. Study procedures were conducted by a multidisciplinary team, a majority also diagnosed with ARDs. RESULTS: The research team interviewed 22 patients (39.8 ± 15.7 years old; 82.8% female; 31.8% Hispanic or Latino/a/x) with ARDs. Themes included 1) information access and understanding, 2) problem solving access to health care, 3) balancing risks, and 4) mental health implications. Within these themes, patients from underrepresented minority backgrounds faced unique challenges. CONCLUSION: Patients with ARDs require direct and timely communication about their risk of COVID-19 morbidity and mortality and require increased support for psychosocial and ARD-related implications of the pandemic. Health care systems must consider ways to support patients who are balancing chronic disease management with risk reduction for contracting emerging COVID-19 variants.

Engaging Multistakeholder Perspectives to Identify Patient-Centered Research Priorities Regarding Vaccine Uptake Among Adults With Autoimmune Conditions.

OBJECTIVE: The study objective was to prioritize topics for future patient-centered research to increase uptake of common vaccines, such as for pneumococcal pneumonia, influenza, herpes zoster, human papillomavirus, and severe acute respiratory syndrome coronavirus 2, among adults living with autoimmune conditions. METHODS: A steering committee (SC) was formed that included clinicians, patients, patient advocates, and researchers associated with rheumatic diseases (psoriatic arthritis, rheumatoid arthritis, vasculitis), inflammatory bowel disease, and multiple sclerosis. Through a scoping review and discussions, SC members identified research topics regarding vaccine uptake and/or hesitancy for prioritization. A larger multistakeholder alliance that included patients and patient advocates, clinicians, researchers, policy makers, regulators, and vaccine manufacturers conducted a modified Delphi exercise online with three rating rounds and one ranking round. Frequency analysis and comparisons across stakeholder groups were conducted. A weighted ranking score was generated for each item in the ranking round for final prioritization. RESULTS: Through the Delphi process, 33 research topics were identified, of which 13 topics were rated as critical by more than 70% of all stakeholders (n = 31). The two highest ranked critical topics per the full stakeholder group were "How well a vaccine works for adults with autoimmune conditions" and "How beliefs about vaccine safety affect vaccine uptake." CONCLUSION: A multistakeholder group identified key topics as critically important priorities for future research to decrease vaccine hesitancy and improve uptake of vaccines for adults with autoimmune conditions.

Patient-Reported Nausea and Fatigue Related to Methotrexate: A Prospective, Self-Controlled Study in the ArthritisPower® Registry.

INTRODUCTION: The magnitude and frequency of temporally related methotrexate (MTX)-associated side effects in rheumatoid arthritis (RA) or psoriatic arthritis (PsA) patients are difficult to quantify using traditional research methods. As proof of concept designed in part to implement digital data collection for remote patient monitoring, we conducted a study implementing self-controlled case series analytic methods to understand MTX-related symptoms in RA or PsA. METHODS: In study phase 1, adults with RA or PsA from the ArthritisPower® Registry (past or current oral MTX users) participated in a cross-sectional survey. In phase 2, current MTX users participated in a longitudinal study and completed the Patient-Reported Outcomes Measurement Information System (PROMIS®) 1-day nausea/vomiting and fatigue measure. Within-person change in PROMIS scores between risk (6-36 h post-dose) and control (96-144 h post-dose) windows were compared using mixed models. RESULTS: The baseline survey was completed by 671 participants (mean age: 54 years, 88% female, 92% white, 79% with RA). Among current MTX users (353/671 [53%]), most reported MTX-associated side effects (216/353 [61%]), most frequently fatigue (161/353 [46%]). Among phase 2 participants with (n = 39) and without (n = 84) baseline nausea, mean increase in PROMIS nausea was 5.1 units (P < 0.0001) and 0.7 units (P = 0.135), respectively; among those with (n = 51) and without (n = 72) baseline fatigue, mean increase in PROMIS fatigue was 3.9 units (P = 0.0003) and 0.4 units (P = 0.554), respectively. CONCLUSIONS: Digital remote patient monitoring presents an opportunity to detect and address medication tolerability in real time. Using a novel study design to control for between-person confounding, the magnitude of nausea and fatigue experienced by participants with RA and PsA temporally related to weekly MTX use was substantial.

Can resource dilution explain differences in height by birth order and family size? A study of 389,287 male recruits in twentieth-century Netherlands.

'Resource dilution' has been invoked as a possible mechanism to explain the inverse relation between sibship size and sibling heights in European populations (Öberg, 2015). Alternative explanations include confounding of the relation by other measured or unmeasured family characteristics including socio-economic position or birth order. It is difficult to quantify the contribution of any factor in isolation. To examine the question, we accessed data from the national birth cohort of 389,287 Dutch conscripts born in 1944-1947 and examined for military service at age 18. The records include all men of Dutch nationality born between January 1, 1944 and December 31, 1947 examined for military service in the Netherlands. The birth cohorts provide a well-defined study population to reliably assess the impact of family size and birth order on adult height, accounting for potential confounders. The cohorts include a large number of high-parity families, provide reliable information on both family size and birth order, and differentiate between all birth orders. The military examinations provide reliable information on height for all study subjects and uniform measurements at age 18. We show that recruits from larger families are shorter than recruits from smaller families; that birth order effects are small in relation to family size effects; and that birth order and family size effects are comparable in recruits from higher to lower socio-economic backgrounds. Recruits from higher backgrounds are significantly taller however. Our findings are compatible with a 'resource dilution' hypothesis, but our data provide no information on any specific differences in the childhood environment in terms of nutrition, education, or other family behaviours could explain the observed height differences at age 18. Additional studies will be needed to identify what differences in specific family behaviours could lead to changes in height development.