Digital technologies have enabled new temporalities of media consumption in the home. Through a field study of home television viewing practices, we investigated temporal orderings of television watching. In contrast to traditional pictures of television use, our evidence suggests that rhythms across households play an important role in shaping television watching. Further, we found a flexibility and openness within the patterns of television viewing that we refer to as “plasticity.” Our data suggest that plasticity and rhythms co-exist and together compose the qualitative experience of domestic television time; an understanding of both aspects of temporality suggests an approach for the design of future television technologies.

Objective

Youth with systemic lupus erythematosus (SLE) transferring from pediatric to adult care are at risk for poor outcomes. We describe patterns of rheumatology/nephrology care and changes in healthcare use and medication adherence during transfer.

Methods

We identified youth ages 15-25 with SLE using US private insurance claims from Optum's deidentified Clinformatics Data Mart. Rheumatology/nephrology visit patterns were categorized as (1) unilateral transfers to adult care within 12 months, (2) overlapping pediatric and adult visits, (3) lost to followup, or (4) continuing pediatric care. We used negative binomial regression and paired t tests to estimate changes in healthcare use and medication possession ratios (MPR) after the last pediatric (index) visit. We compared MPR between youth who transferred and age-matched peers continuing pediatric care.

Results

Of the 184 youth transferred out of pediatric care, 41.8% transferred unilaterally, 31.5% had overlapping visits over a median of 12 months before final transfer, and 26.6% were lost to followup. We matched 107 youth continuing pediatric care. Overall, ambulatory care use decreased among those lost to followup. Acute care use decreased across all groups. MPR after the index date were lower in youth lost to followup (mean 0.24) compared to peers in pediatric care (mean 0.57, p < 0.001).

Conclusion

Youth with SLE with continuous private insurance coverage do not use more acute care after transfer to adult care. However, a substantial proportion fail to see adult subspecialists within 12 months and have worse medication adherence, placing them at higher risk for adverse outcomes.

Objective

To compare major depression risk among young adults with juvenile-onset and adult-onset systemic lupus erythematosus (SLE), and to determine demographic and health-related predictors of depression.

Methods

Young adults with SLE ages 18-45 years (n = 546) in the Lupus Outcomes Study completed annual telephone surveys from 2002-2015, including assessment of depression using the Center for Epidemiologic Studies Depression Scale (CES-D), and self-report measures of sociodemographics and health characteristics. Juvenile-onset SLE was defined as age <18 years at diagnosis (n = 115). Repeated-measures analysis was performed to assess the risk for major depression (CES-D ≥24) at any point in study, and logistic regression was used to assess for recurrent (present on ≥2 assessments) major depression.

Results

Major depression was experienced by 47% of the cohort at least once during the 12-year study period. In adjusted analyses, juvenile-onset SLE patients had an increased risk of having a major depressive episode (odds ratio [OR] 1.7 [95% confidence interval (95% CI) 1.0-2.7]) and recurrent episodes (OR 2.2 [95% CI 1.2-4.3]), compared to participants with adult-onset SLE. Older age, lower educational attainment, and physical function, higher disease activity, and a history of smoking were associated with an increased depression risk. Juvenile-onset SLE patients had a higher risk of major depression across all educational groups.

Conclusion

Young adults with SLE, particularly those with juvenile-onset disease, are at high risk for major depression, which is associated with increased disease activity, poorer physical functioning, and lower educational attainment. Early depression intervention in young adults with SLE has the potential to improve both medical and psychosocial outcomes.

OBJECTIVE: To phenotype SLE based on symptom burden (disease damage, system involvement and patient reported outcomes), with a specific focus on objective and subjective cognitive function. METHODS: SLE patients ages 18-65 years underwent objective cognitive assessment using the ACR Neuropsychological Battery (ACR-NB) and data were collected on demographic and clinical variables, disease burden/activity, health-related quality of life (HRQoL), depression, anxiety, fatigue and perceived cognitive deficits. Similarity network fusion (SNF) was used to identify patient subtypes. Differences between the subtypes were evaluated using Kruskal-Wallis and χ2 tests. RESULTS: Of the 238 patients, 90% were female, with a mean age of 41 years (s.d. 12) and a disease duration of 14 years (s.d. 10) at the study visit. The SNF analysis defined two subtypes (A and B) with distinct patterns in objective and subjective cognitive function, disease burden/damage, HRQoL, anxiety and depression. Subtype A performed worst on all significantly different tests of objective cognitive function (P < 0.03) compared with subtype B. Subtype A also had greater levels of subjective cognitive function (P < 0.001), disease burden/damage (P < 0.04), HRQoL (P < 0.001) and psychiatric measures (P < 0.001) compared with subtype B. CONCLUSION: This study demonstrates the complexity of cognitive impairment (CI) in SLE and that individual, multifactorial phenotypes exist. Those with greater disease burden, from SLE-specific factors or other factors associated with chronic conditions, report poorer cognitive functioning and perform worse on objective cognitive measures. By exploring different ways of phenotyping SLE we may better define CI in SLE. Ultimately this will aid our understanding of personalized CI trajectories and identification of appropriate treatments.

The translation of research findings into clinical practice is challenging, especially fields like in pediatric rheumatology, where the evidence base is limited, there are few clinical trials, and the conditions are rare and heterogeneous. Implementation science methodologies have been shown to reduce the research- to- practice gap in other clinical settings may have similar utility in pediatric rheumatology. This paper describes the key discussion points from the inaugural Childhood Arthritis and Rheumatology Research Alliance Implementation Science retreat held in February 2020. The aim of this report is to synthesize those findings into an Implementation Science Roadmap for pediatric rheumatology research. This roadmap is based on three foundational principles: fostering curiosity and ensuring discovery, integration of research and quality improvement, and patient-centeredness. We include six key steps anchored in the principles of implementation science. Applying this roadmap will enable researchers to evaluate the full range of research activities, from the initial clinical design and evidence acquisition to the application of those findings in pediatric rheumatology clinics and direct patient care.