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OBJECTIVES Despite poor healthcare transition outcomes among young adults with pediatric rheumatic diseases, adoption of transition best practices is low. We sought to understand how structured transition processes were operationalized within pediatric rheumatology practices and what factors were perceived to enable adaptations during a global pandemic. METHODS We conducted a mixed methods study of team leaders' experiences during an interim analysis of a pilot project to implement transition policy discussions at sites in the Childhood Arthritis and Rheumatology Research Alliance Transition Learning Collaborative. We combined quantitative assessments of organizational readiness for change (9 sites) and semi-structured interviews of team leaders (8 sites) using determinants in the Exploration, Preparation, Implementation, Sustainment Framework. RESULTS Engagement of nursing and institutional improvement efforts facilitated decisions to implement transition policies. Workflows incorporating educational processes by non-physicians were perceived to be critical for success. When the pandemic disrupted contact with non-physicians, capacity for automation using electronic medical record (EMR)-based tools was an important facilitator, but few sites could access these tools. Sites without EMR-based tools did not progress despite reporting high organizational readiness to implement change at the clinic level. Lastly, educational processes were often superseded by acute issues, such that youth with greater medical/psychosocial complexity may not receive the intervention. CONCLUSIONS We generated several considerations to guide implementation of transition processes within pediatric rheumatology from the perspectives of team leaders. Careful assessment of institutional and nursing support is advisable before conducting complex transition interventions. Ideally, new strategies would ensure interventions reach youth with high complexity.

Racial and ethnic minority groups have excess morbidity related to renal disease in pediatric-onset systemic lupus erythematosus (SLE). This study was undertaken to evaluate temporal trends in renal outcomes and racial disparities among hospitalized children with SLE over a period of 14 years.We identified patients 21 years old or younger with discharge diagnoses of SLE in the Pediatric Health Information System inpatient database (2006-2019). Adverse renal outcomes included end-stage renal disease (ESRD), dialysis, or transplant, analyzed as a composite and separately. We estimated the odds of adverse renal outcomes at any hospitalization or the first occurrence of an adverse renal outcome, adjusted for calendar period, patient characteristics, and clustering by hospital. We tested whether racial disparities differed by calendar period.There were 20,893 admissions for 7,434 SLE patients, of which 32%, 16%, 12%, and 8% were Black, Hispanic White, Hispanic Other, and Asian, respectively. Proportions of admissions with adverse renal outcomes decreased over time (P 0.01). Black children remained at the highest risk of adverse renal outcomes at any admission (odds ratio [OR] 2.5 [95% confidence interval (95% CI) 1.8-3.5] versus non-Hispanic White patients). Black and Asian children remained at a higher risk of incident adverse renal outcomes, driven by ESRD among Black children (OR 1.6 [95% CI 1.2-2.1]) and dialysis among Asians (OR 1.7 [95% CI 1.1-2.7]). Relative disparities did not change significantly over time.Significant reductions in ESRD and dialysis occurred over time for children with SLE across all racial and ethnic groups. The lack of corresponding reductions in racial disparities highlights the need for targeted interventions to achieve greater treatment benefit among higher risk groups.

BACKGROUND AND OBJECTIVES: Performing adequately powered clinical trials in pediatric diseases, such as SLE, is challenging. Improved recruitment strategies are needed for identifying patients. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: Electronic health record algorithms were developed and tested to identify children with SLE both with and without lupus nephritis. We used single-center electronic health record data to develop computable phenotypes composed of diagnosis, medication, procedure, and utilization codes. These were evaluated iteratively against a manually assembled database of patients with SLE. The highest-performing phenotypes were then evaluated across institutions in PEDSnet, a national health care systems network of >6.7 million children. Reviewers blinded to case status used standardized forms to review random samples of cases (n=350) and noncases (n=350). RESULTS: Final algorithms consisted of both utilization and diagnostic criteria. For both, utilization criteria included two or more in-person visits with nephrology or rheumatology and ≥60 days follow-up. SLE diagnostic criteria included absence of neonatal lupus, one or more hydroxychloroquine exposures, and either three or more qualifying diagnosis codes separated by ≥30 days or one or more diagnosis codes and one or more kidney biopsy procedure codes. Sensitivity was 100% (95% confidence interval [95% CI], 99 to 100), specificity was 92% (95% CI, 88 to 94), positive predictive value was 91% (95% CI, 87 to 94), and negative predictive value was 100% (95% CI, 99 to 100). Lupus nephritis diagnostic criteria included either three or more qualifying lupus nephritis diagnosis codes (or SLE codes on the same day as glomerular/kidney codes) separated by ≥30 days or one or more SLE diagnosis codes and one or more kidney biopsy procedure codes. Sensitivity was 90% (95% CI, 85 to 94), specificity was 93% (95% CI, 89 to 97), positive predictive value was 94% (95% CI, 89 to 97), and negative predictive value was 90% (95% CI, 84 to 94). Algorithms identified 1508 children with SLE at PEDSnet institutions (537 with lupus nephritis), 809 of whom were seen in the past 12 months. CONCLUSIONS: Electronic health record–based algorithms for SLE and lupus nephritis demonstrated excellent classification accuracy across PEDSnet institutions.