Initiation of glucocorticoids before entering rheumatology care associates with long-term glucocorticoid use in older adults with early rheumatoid arthritis: A joint analysis of Medicare and the Rheumatology Informatics System for Effectiveness (RISE) data.

OBJECTIVE: To assess relationships between the timing of glucocorticoid (GC) initiation, entrance into rheumatology care, and the duration of GC use in older adults with early rheumatoid arthritis (eRA) in the U.S. METHODS: Data from the Rheumatology Informatics System for Effectiveness (RISE) registry and Medicare (2016-2018) were linked. Patients with ≥2 RA ICD codes in RISE were included; the first being the index date which signaled entrance into rheumatology care. GC initiation (between 3 months before to 6 months after the index date) and continuous GC use up to 12 months after the index date were captured using Medicare claims. Cox proportional hazards models with adjustment for confounders assessed differences in the duration of GC use for patients initiating GCs before versus after the index date. Average daily GC doses were estimated. RESULTS: 1,733 patients (67 % female; mean age 76 ± 6 years) were included. 41 % initiated GCs, on average 16 ± 58 days before entering rheumatologic care. The mean duration of GC use was 157 days (95 %-CI 143 to 170). GC initiation before rheumatologic care was associated with longer GC use, even after adjustment for confounders (hazard ratio 0.61; 95 %-CI [0.51 to 0.74]). For patients using GCs for ≥3 months, average daily GC doses were <5 mg/d prednisone equivalent. CONCLUSION: GCs are regularly used in eRA and most often initiated before patients enter rheumatology care. Long-term, low-dose GC use is common and associated with initiation before rheumatology care. Earlier referral to rheumatology might reduce GC exposure among U.S. patients with eRA.

Leveraging the Consolidated Framework for Implementation Research (CFIR) to Develop the American College of Rheumatology's Toolkit for Implementation of Rheumatoid Arthritis Outcome Measures in Clinical Practice: A Qualitative Study.

OBJECTIVE: Despite the recognized benefits of collecting rheumatoid arthritis (RA) outcomes measures, their use in routine care is inconsistent. Using the Consolidated Framework for Implementation Research (CFIR), we conducted semi-structured interviews with United States rheumatologists and practice personnel to assess workflows, opportunities, and challenges in collecting RA outcome measures. Using insights from interviews, we developed the RA Measures Toolkit to enhance their utilization in clinical practice. METHODS: We invited 138 RISE registry practices and 5 academic medical centers with ≥ 30 patients eligible for RA outcome measures to participate in the study. Practices were classified based on their performance in quality payment programs. Recorded interviews were transcribed verbatim and analyzed thematically using deductive and inductive techniques. The findings were used to create the RA Measures Toolkit. RESULTS: We conducted 20 interviews with 38 participants across 20 practices. Key themes within the CFIR domains highlighted the challenges and best practices in RA outcome measure collection and included: 1) Process: the variability in practices' use of RA outcome measures and the importance of streamlined workflows, 2) Intervention: challenges of integrating PROs into electronic health records (EHRs), and 3) Individual characteristics: importance of clinic culture around quality improvement. Using this data, we developed the RA Toolkit, a multimedia online resource, featuring guidelines, best practices, and educational resources to improve the efficiency of current workflows and to enhance patient care. CONCLUSION: This study identifies critical gaps in the collection of RA outcome measures in U.S. rheumatology practices and provides actionable recommendations and resources to address challenges via the RA Toolkit.

Development and application of Breadth-Depth-Context (BDC), a conceptual framework for measuring technology engagement with a qualified clinical data registry.

Objectives: Despite the proliferation of dashboards that display performance data derived from Qualified Clinical Data Registries (QCDR), the degree to which clinicians and practices engage with such dashboards has not been well described. We aimed to develop a conceptual framework for assessing user engagement with dashboard technology and to demonstrate its application to a rheumatology QCDR. Materials and Methods: We developed the BDC (Breadth-Depth-Context) framework, which included concepts of breadth (derived from dashboard sessions), depth (derived from dashboard actions), and context (derived from practice characteristics). We demonstrated its application via user log data from the American College of Rheumatology's Rheumatology Informatics System for Effectiveness (RISE) registry to define engagement profiles and characterize practice-level factors associated with different profiles. Results: We applied the BDC framework to 213 ambulatory practices from the RISE registry in 2020-2021, and classified practices into 4 engagement profiles: not engaged (8%), minimally engaged (39%), moderately engaged (34%), and most engaged (19%). Practices with more patients and with specific electronic health record vendors (eClinicalWorks and eMDs) had a higher likelihood of being in the most engaged group, even after adjusting for other factors. Discussion: We developed the BDC framework to characterize user engagement with a registry dashboard and demonstrated its use in a specialty QCDR. The application of the BDC framework revealed a wide range of breadth and depth of use and that specific contextual factors were associated with nature of engagement. Conclusion: Going forward, the BDC framework can be used to study engagement with similar dashboards.

Proton Pump Inhibitor Use and Bone Health in Patients With Rheumatic Diseases: A Cross-Sectional Study.

OBJECTIVE: To assess the effect of proton pump inhibitor (PPI) use on bone mineral density (BMD) and bone microarchitecture as measured by the trabecular bone score (TBS) in patients with inflammatory rheumatic and musculoskeletal diseases (iRMDs). METHODS: Cross-sectional data from a prospective single-center cohort (2015 to 2022) of patients with iRMDs were used to evaluate 3 co-primary outcomes: BMD of the left femoral neck and the lumbar spine (as T-scores) and the TBS. Inverse probability weighting adjusted for numerous confounders including age, sex, body mass index, current and cumulative glucocorticoid (GC) dose, C-reactive protein levels, disability, and others. Analyses were based on general linear models, following a prespecified statistical analysis plan. RESULTS: The study included 1495 patients (75% women; mean age, 62.6±13.1 years; 49% and 63% with regular PPI and GC use, respectively). The PPI users had lower BMD at both spine (adjusted contrast -0.25; 95% CI, -0.47 to -0.04; P=.02) and femoral neck (-0.17 [-0.35 to 0.01]; P=.07). Differences between PPI users and nonusers were statistically significant only in patients concurrently using GCs at more than 7.5 mg/d prednisone equivalent. The TBS was similar in PPI users and nonusers (adjusted contrast, 0.00 [-0.04 to 0.04]; P=.97). CONCLUSION: Our results suggest that PPIs lead to a loss of BMD rather than an impairment of bone microarchitecture in patients with iRMDs. The negative association between PPI use and BMD appears to be dependent on concurrent GC use. Clinicians should carefully review the indication for PPI use in patients with iRMDs, especially in those receiving higher dose GCs.

Incidence Rate and Factors Associated With Fractures Among Medicare Beneficiaries With Ankylosing Spondylitis in the United States.

OBJECTIVE: We evaluated the incidence rate and factors associated with fractures among adults with ankylosing spondylitis (AS). METHODS: We performed a retrospective cohort study with data from the Rheumatology Informatics System for Effectiveness registry linked to Medicare claims from 2016 to 2018. Patients were required to have two AS International Classification of Diseases codes 30 or more days apart and a subsequent Medicare claim. Then, 1 year of baseline characteristics were included, after which patients were observed for fractures. First, we calculated the incidence rate of fractures. Second, we constructed logistic regression models to identify factors associated with the fracture, including age, sex, race and ethnicity, body mass index, Medicare/Medicaid dual eligibility, area deprivation index, Charlson comorbidity index, smoking status, osteoporosis, historical fracture, and use of osteoporosis treatment, glucocorticoids, and opioids. RESULTS: We identified 1,426 adults with prevalent AS. Mean ± SD age was 69.4 ± 9.8 years, 44.3% were female, and 77.3% were non-Hispanic White. Fractures occurred in 197 adults with AS. The overall incidence rate of fractures was 76.7 (95% confidence interval [CI] 66.4-88.6) per 1,000 person-years. Older age (odds ratio [OR] 2.8, 95% CI 1.39-5.65), historical fracture (OR 5.24, 95% CI 3.44-7.99), and use of more than 30 mg morphine equivalent (OR 1.86, 95% CI 1.08-3.19) conferred increased odds of fracture. CONCLUSIONS: In this large sample of Medicare beneficiaries with AS, increasing age, historical fracture, and use of opioids had higher odds of fracture. Men and women were equally likely to have a fracture. Because opioid use was associated with fracture in AS, this high-risk population should be considered for interventions to mitigate risk.