Our systematic review and meta-analyses showed that there are significant sociodemographic disparities in CR participation. On the basis of this knowledge, clinicians and policy makers should focus on identifying and eliminating barriers to participation.

Background During the COVID-19 pandemic, the shift to virtual care became essential for the continued care of patients. Individuals with rheumatic and musculoskeletal diseases (RMDs) especially require frequent provider visits and close monitoring. To date, there have been limited studies examining inequities in health technology use among patients with RMDs. Objective Our goal was to identify characteristics associated with patient portal use before and after the COVID-19 pandemic in a convenience sample of patients with RMDs from a large academic medical center. Methods In this cross-sectional study, Epic electronic medical record data were queried to identify established patients of the University of North Carolina Hospitals adult rheumatology clinic between November 1, 2017, through November 30, 2019. Demographic and clinical data were collected to compare MyChart (Epic’s patient portal) users with nonusers before and after the COVID-19 pandemic. MyChart activation and use were modeled using logistic regression and adjusted odds ratios, and confidence intervals were estimated. Results We identified 5075 established patients with RMDs who met the inclusion criteria. Prior to the pandemic, we found that younger age (P<.001), suburban residence (P=.05), commercial/state insurance (P<.001), military insurance (P=.05), and median income >US $50,000 (P<.001) were associated with significantly higher odds of MyChart activation. Male sex (P<.001), being of Black or African American (P<.001) or “other” race (P<.001), Spanish as a primary language (P<.001), rural residence (P=.007), Medicaid insurance (P<.001), and median income of <US $25,000 (P=.01) were associated with lower odds of MyChart activation. Following COVID-19, younger age (P<.001), commercial insurance (P=.03), state insurance (P=.02), and median income of US $50,000-75,000 (P=.01) were associated with significantly higher odds of MyChart use. However, being of Black or African American (P<.001) or “other” race (P=.01), Spanish as a primary language (P=.002), male sex (P=.004), rural residence (P=.005), and having no insurance (P<.001) or Medicaid (P=.008) were associated with lower odds of MyChart use. Conclusions Residence in a rural area, being of minority race/ethnicity, older age, male sex, lower median income, Medicaid, being uninsured, and non-English primary language are associated with lower odds of patient portal activation and use. Future health policy and clinical practice measures should focus on reducing barriers to health technology adoption among these groups.

ObjectivePatients with systemic lupus erythematosus (SLE) are at an increased risk for developing coronary artery disease (CAD). Several studies suggest that the presence of lupus nephritis (LN) is independently associated with CAD. The purpose of our study was to assess whether the presence of LN is independently associated with CAD in our patient population and whether this association varies by class of LN.MethodsA retrospective cross‐sectional analysis was performed using medical records of patients 18 years and older with SLE at University of North Carolina Hospitals from April 4, 2014, to December 31, 2017. Subjects were identified using International Classification of Diseases, Ninth Revision (ICD‐9) and International Classification of Diseases, 10th Revision (ICD‐10) codes specific for SLE. LN class was defined by International Society of Nephrology/Renal Pathology Society (ISN/RPS) classification. CAD was the outcome of interest. Logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs).ResultsOur sample consisted of 3732 patients with SLE, of whom 598 (16%) had LN and 537 (14%) had CAD. When adjusting for demographics and factors associated with CAD and LN, the odds of having CAD were significantly higher for patients with SLE and LN compared with patients without LN (OR 1.47; 95% CI 1.07‐2.02; P = 0.017). Controlling for these factors, class III LN (OR 1.98; 95% CI 0.95‐4.12; P = 0.069) and class III/V LN (OR 2.23; 95% CI 1.09‐4.62; P = 0.028) were very strongly associated with CAD in subjects with LN compared with subjects without LN.ConclusionWe confirm the observations of previous studies that LN is significantly associated with CAD. Our study is the first to show the association between CAD and specific classes of LN.