Objective
To develop updated guidelines for the pharmacologic management of rheumatoid arthritis.
Methods
We developed clinically relevant population, intervention, comparator, and outcomes (PICO) ...questions. After conducting a systematic literature review, the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach was used to rate the certainty of evidence. A voting panel comprising clinicians and patients achieved consensus on the direction (for or against) and strength (strong or conditional) of recommendations.
Results
The guideline addresses treatment with disease‐modifying antirheumatic drugs (DMARDs), including conventional synthetic DMARDs, biologic DMARDs, and targeted synthetic DMARDs, use of glucocorticoids, and use of DMARDs in certain high‐risk populations (i.e., those with liver disease, heart failure, lymphoproliferative disorders, previous serious infections, and nontuberculous mycobacterial lung disease). The guideline includes 44 recommendations (7 strong and 37 conditional).
Conclusion
This clinical practice guideline is intended to serve as a tool to support clinician and patient decision‐making. Recommendations are not prescriptive, and individual treatment decisions should be made through a shared decision‐making process based on patients’ values, goals, preferences, and comorbidities.
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BFBNIB, FZAB, GIS, IJS, KILJ, NLZOH, NUK, OILJ, SAZU, SBCE, SBMB, UL, UM, UPUK
Patient-reported outcomes (PROs) are increasingly used to track symptoms and to assess disease activity, quality of life, and treatment effectiveness. It is therefore important to understand which ...PROs patients with rheumatic and musculoskeletal disease consider most important to track for disease management.
Adult US patients within the ArthritisPower registry with ankylosing spondylitis, fibromyalgia syndrome, osteoarthritis, osteoporosis, psoriatic arthritis, rheumatoid arthritis, and systemic lupus erythematosus were invited to select between 3 and 10 PRO symptom measures they felt were important to digitally track for their condition via the ArthritisPower app. Over the next 3 months, participants (pts) were given the option to continue tracking their previously selected measures or to remove/add measures at 3 subsequent monthly time points (month m 1, m2, m3). At m3, pts prioritized up to 5 measures. Measures were rank-ordered, summed, and weighted based on pts rating to produce a summary score for each PRO measure.
Among pts who completed initial selection of PRO assessments at baseline (N = 253), 140 pts confirmed or changed PRO selections across m1-3 within the specified monthly time window (28 days ± 7). PROs ranked as most important for tracking were PROMIS Fatigue, Physical Function, Pain Intensity, Pain Interference, Duration of Morning Joint Stiffness, and Sleep Disturbance. Patient's preferences regarding the importance of these PROs were stable over time.
The symptoms that rheumatology patients prioritized for longitudinal tracking using a smartphone app were fatigue, physical function, pain, and morning joint stiffness.
This article aims to describe key issues, processes, and outcomes related to development of a patient registry for rheumatology research using a digital platform where patients track useful data ...about their condition for their own use while contributing to research. Digital interventions are effective to build a patient research registry for people with rheumatoid arthritis and other rheumatic and musculoskeletal diseases. ArthritisPower provides evidence of the value of digital interventions to build community support for research and to transform patient engagement and patient-generated data capture.
A measure that encompasses both benefits and harms at the individual patient level may facilitate comparisons between treatment options and improve shared decision-making. The objective of this study ...was to develop a patient reported measure to capture overall experience (including both benefits and harms) of treatment using rheumatoid arthritis (RA) as a case example.
Hierarchies for treatment benefits are known. Therefore, we developed a hierarchy of adverse events (AEs) using a series of trajectory mapping and paired comparison surveys. We subsequently used these data to construct a paired comparison survey, asking patients to compare options including both a specified level of benefit and an AE. These data were used to generate a hierarchy of overall experience on treatment.
782 participants completed a series of three surveys. The trajectory mapping procedure and a paired comparison survey led to the generation of a hierarchy of AEs with nine levels ranging from No AEs to irreversible serious complications. In a third survey, in which AEs were paired with benefits, participants' ratings generated a 6-level hierarchy of overall experiences ranging from Major improvement + No, mild or manageable AEs (Level 1) to No improvement + Irreversible AEs (Level 6).
Using a trajectory mapping approach, we developed a patient reported measure representing the distribution of patients' overall experiences on treatment. The intent of this measure is to enable patients and their physicians to compare the percentage of patients experiencing each level of outcome, from most to least desirable, across treatments.
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DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
Racial and ethnic disparities in arthroplasty utilization are evident, but the reasons are not known. We aimed to identify concerns that may contribute to barriers to arthroplasty from the patient's ...perspective.
We identified patients' concerns about arthroplasty by performing a mixed methods study. Themes identified during semi-structured interviews with Black and Hispanic patients with advanced symptomatic hip or knee arthritis were used to develop a questionnaire to quantify and prioritize their concerns. Multiple linear and logistic regression analyses were conducted to determine the association between race/ethnicity and the importance of each theme. Models were adjusted for sex, insurance, education, HOOS, JR/KOOS, JR, and discussion of joint replacement with a doctor.
Interviews with eight participants reached saturation and provided five themes used to develop a survey answered by 738 (24%) participants; 75.5% White, 10.3% Black, 8.7% Hispanic, 3.9% Asian/Other. Responses were significantly different between groups (p < 0.05). Themes identified were "Trust in the surgeon" "Recovery", "Cost/Insurance", "Surgical outcome", and "Personal suitability/timing". Compared to Whites, Blacks were two-fold, Hispanics four-fold more likely to rate "Trust in the surgeon" as very/extremely important. Blacks were almost three times and Hispanics over six times more likely to rate "Recovery" as very/extremely important.
We identified factors of importance to patients that may contribute to barriers to arthroplasty, with marked differences between Blacks, Hispanics, and Whites.
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DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
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.
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.
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.
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.
Background
In 2016, the Patient-Centered Outcomes Research Institute funded the National Patient Centered Clinical Research Network (PCORnet) Bariatric Study (PBS). Understanding the experience of ...postoperative patients was a key component of this study.
Methods
Nine focus groups were conducted in Southern California, Louisiana, Pennsylvania, and Ohio and in a national advocacy conference for patients with obesity. Participants were identified and recruited in both clinical and community settings. Focus group transcripts were analyzed using an iterative inductive-deductive approach to identify global overarching themes.
Results
There were 76 focus group participants. Participants were mostly women (81.4%), had primarily undergone gastric sleeve (47.0%), were non-Hispanic white (51.4%), had some college education (44.3%), and made $100,000 annual income or less (65.7%). Qualitative findings included negative reactions patients received from friends, family, and co-workers once they disclosed that they had bariatric surgery to lose weight; and barriers to follow-up care included insurance coverage, emotional and situational challenges, and physical pain limiting mobility.
Conclusions
These findings confirm the other qualitative findings in this area. The approach to bariatric surgery should be expanded to provide long-term comprehensive care that includes in-depth postoperative lifetime monitoring of emotional and physical health.
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EMUNI, FIS, FZAB, GEOZS, GIS, IJS, IMTLJ, KILJ, KISLJ, MFDPS, NLZOH, NUK, OBVAL, OILJ, PNG, SAZU, SBCE, SBJE, SBMB, SBNM, UKNU, UL, UM, UPUK, VKSCE, ZAGLJ
Digital health studies using electronic patient reported outcomes (ePROs), wearables, and clinical data to provide a more comprehensive picture of patient health.
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.
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.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
Digital health studies using electronic patient-reported outcomes (ePROs) and wearables bring new challenges, including the need for participants to consistently provide trial data.
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.
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).
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.
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).
RR2-10.2196/14665.
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