Designing an Intervention to Improve Management of High-Risk Lupus Patients Through Care Coordination

Socioeconomic Factors Are Associated With Severity of Hospitalization in Pediatric Lupus: An Analysis of the 2016 Kids' Inpatient Database

OBJECTIVE

Health disparities in adult lupus, including higher disease severity and activity among those in poverty, have been identified. Similar associations in pediatric lupus have not been clearly established. This study was undertaken to investigate the relationship of income level and other socioeconomic factors with length of stay (LOS) in the hospital and severe lupus features using the 2016 Kids' Inpatient Database (KID).

METHODS

Lupus hospitalizations were identified in children ages 2-20 years in the 2016 KID using International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10) codes (M32). Univariate and multivariate negative binomial regression analyses were used to analyze the association of income level, race and ethnicity, and insurance status with LOS in the hospital. Univariate and multivariate logistic regression analyses were used to analyze the association of the same predictors with the presence of severe lupus features, defined using ICD-10 codes associated with lupus sequelae (e.g., lupus nephritis).

RESULTS

A total of 3,367 unweighted (4,650 weighted) lupus hospitalizations were identified. Income level was found to be a statistically significant predictor of increased LOS in the hospital for those in the lowest income quartile (adjusted incidence rate ratio 1.12 [95% confidence interval (95% CI) 1.02-1.23]). Black race, "other" race, and public insurance were also associated with severe lupus features (adjusted odds ratio [ORadj ] 1.51 [95% CI 1.11-2.06]; ORadj 1.61 [95% CI 1.01-2.55]; and ORadj 1.51 [95% CI 1.17-2.55], respectively).

CONCLUSION

Using a nationally representative data set, income level was found to be a statistically significant predictor of LOS in the hospital among those with the lowest reported income, highlighting a potential target population for intervention. Additionally, Black race and public insurance were associated with severe lupus features.

Disparities in Lupus and the Role of Social Determinants of Health: Current State of Knowledge and Directions for Future Research

Systemic lupus erythematosus (SLE) is a chronic autoimmune disease. The complex relationships between race and ethnicity and social determinants of health (SDOH) in influencing SLE and its course are increasingly appreciated. Multiple SDOH have been strongly associated with lupus incidence and outcomes and contribute to health disparities in lupus. Measures of socioeconomic status, including economic instability, poverty, unemployment, and food insecurity, as well as features of the neighborhood and built environment, including lack of safe and affordable housing, crime, stress, racial segregation, and discrimination, are associated with race and ethnicity in the US and are risk factors for poor outcomes in lupus. In this scientific statement, we aimed to summarize current evidence on the role of SDOH in relation to racial and ethnic disparities in SLE and SLE outcomes, primarily as experienced in the U.S. Lupus Foundation of America's Health Disparities Advisory Panel, comprising 10 health disparity experts, including academic researchers and patients, who met 12 times over the course of 18 months in assembling and reviewing the data for this study. Sources included articles published from 2011 to 2023 in PubMed, Centers for Disease Control and Prevention data, and bibliographies and recommendations. Search terms included lupus, race, ethnicity, and SDOH domains. Data were extracted and synthesized into this scientific statement. Poorer neighborhoods correlate with increased damage, reduced care, and stress-induced lupus flares. Large disparities in health care affordability, accessibility, and acceptability exist in the US, varying by region, insurance status, and racial and minority groups. Preliminary interventions targeted social support, depression, and shared-decision-making, but more research and intervention implementation and evaluation are needed. Disparities in lupus across racial and ethnic groups in the US are driven by SDOH, some of which are more easily remediable than others. A multidimensional and multidisciplinary approach involving various stakeholder groups is needed to address these complex challenges, address these diminish disparities, and improve outcomes.

Associations of Postdischarge Follow-Up With Acute Care and Mortality in Lupus: A Medicare Cohort Study

OBJECTIVE

Patients with systemic lupus erythematosus experience the sixth highest rate of 30-day readmissions among chronic diseases. Timely postdischarge follow-up is a marker of ambulatory care quality that can reduce readmissions in other chronic conditions. Our objective was to test the hypotheses that 1) beneficiaries from populations experiencing health disparities, including patients from disadvantaged neighborhoods, will have lower odds of completed follow-up, and that 2) follow-up will predict longer time without acute care use (readmission, observation stay, or emergency department visit) or mortality.

METHODS

This observational cohort study included hospitalizations in January-November 2014 from a 20% random sample of Medicare adults. Included hospitalizations had a lupus code, discharge to home without hospice, and continuous Medicare A/B coverage for 1 year before and 1 month after hospitalization. Timely follow-up included visits with primary care or rheumatology within 30 days. Thirty-day survival outcomes were acute care use and mortality adjusted for sociodemographic information and comorbidities.

RESULTS

Over one-third (35%) of lupus hospitalizations lacked 30-day follow-up. Younger age, living in disadvantaged neighborhoods, and rurality were associated with lower odds of follow-up. Follow-up was not associated with subsequent acute care or mortality in beneficiaries age <65 years. In contrast, follow-up was associated with a 27% higher hazard for acute care use (adjusted hazard ratio [HR] 1.27 [95% confidence interval (95% CI) 1.09-1.47]) and 65% lower mortality (adjusted HR 0.35 [95% CI 0.19-0.67]) among beneficiaries age ≥65 years.

CONCLUSION

One-third of lupus hospitalizations lacked follow-up, with significant disparities in rural and disadvantaged neighborhoods. Follow-up was associated with increased acute care, but 65% lower mortality in older systemic lupus erythematosus patients. Further development of lupus-specific postdischarge strategies is needed.

Black Race, Hispanic Ethnicity, and Medicaid Insurance Are Associated With Lower Rates of Rotator Cuff Repair in New York State

PURPOSE

To determine the use of operative rotator cuff repair for rotator cuff pathology in New York State and analyze the racial, ethnic, and income-based disparities in receiving rotator cuff repair.

METHODS

A retrospective review of the Statewide Planning and Research Cooperative System Database of New York State was conducted to include patients with a new diagnosis of rotator cuff tear between July 1, 2017, and June 30, 2019, with at least 6 months of follow-up. Bivariate analysis using χ² tests and multivariable logistic regression models were used to determine racial, ethnic, and income-based disparities in the use of surgical treatment with rotator cuff repair.

RESULTS

A total of 87,660 patients were included in the study. Of these, 36,422 patients (41.5%) underwent surgical treatment with rotator cuff repair. Multivariable analysis showed that Black race (adjusted odds ratio [aOR] 0.78; 95% confidence interval [CI] 0.69-0.87; P < .001), Hispanic/Latino ethnicity (aOR 0.91; 95% CI 0.85-0.97); P = .004), and Medicaid (aOR 0.75; 95% CI 0.70-0.80; P < .001), or other government insurance (aOR 0.82; 95% CI 0.78-0.86; P < .001) were independently associated with lower rates of rotator cuff repair. Male sex (aOR 1.18; 95% CI 1.14-1.22; P < .001), Asian race (aOR 1.27; 95% CI 1.00-1.62; P = .048), workers' compensation insurance (aOR 1.12; 95% CI 1.07-1.18; P < .001), and greater home ZIP code income quartile (aOR 1.19; 95% CI 1.09-1.30; P < .001) were independently associated with greater rates of operative management. Although race was an independent covariate affecting rate of rotator cuff repair, the effects of race were altered when accounting for the other covariates, suggesting that race alone does not account for the differences in rate of surgery for rotator cuff pathology.

CONCLUSIONS

In this analysis of all adult patients presenting with rotator cuff tears to New York hospital systems from 2017 to 2019, we identified significant racial, ethnic, and socioeconomic disparities in the likelihood of rotator cuff repair surgery for patients with rotator cuff tears. These include lower rates of rotator cuff repair for those Black, Hispanic, and low-income populations as represented by Medicaid insurance and low home ZIP code income quartile.

CLINICAL RELEVANCE

This study reports disparities in the use of rotator cuff repair for individuals with rotator cuff pathology.

Approaches to reducing fragmented care in systemic lupus erythematosus (SLE) and other multimorbid conditions: A realist review

Introduction

Fragmented care overwhelmingly affects populations with multimorbid chronic conditions, like systemic lupus erythematosus (SLE). However, strategies to mitigate care fragmentation typically focus on singular disease frameworks with insufficient evidence regarding approaches for individuals with two or more concurrent chronic conditions (multimorbidity). This review explores the literature to identify the (C)ontextual influences, underlying (M)echanisms, and associated (O)utcomes of fragmented care prevention in SLE and other multimorbid conditions.

Methods

A realist review was applied to systematically examine literature, including the search of >1300 published articles focused on SLE and multimorbidity, continuity of care, and approaches to mitigate fragmented care. The analysis was guided by care continuity elements and organized by fragmented care concepts explicated by the MacColl Institute for Healthcare Innovations Care Coordination Model and further grouped for context–mechanism–outcome (CMO) configurations.

Results

Fourteen articles met inclusion/exclusion criteria and were included in the sample to illustrate the relationship between C-M-O for approaches focused on fragmented care prevention. Favorable outcomes in mechanisms that produced positive responses to resources relevant to fragmented care prevention included 1) opportunities for exposure and negotiation within professional teams, 2) structured health education, role clarity, and access to adherence services for patients, and 3) awareness of workflow waste and use of clinical algorithms.

Discussion

Review findings suggest using a multidimensional approach to mitigate fragmented care in SLE and other multimorbid conditions. Multidimensional approaches should focus on shared decision-making, social support, social–cultural–economic factors, patient engagement, and technological infrastructure to support the complex care needs of the multimorbid patient.

The Impact of an Integrated Care Management Program on Acute Care Use and Outpatient Appointment Attendance Among High-Risk Patients With Lupus

Objective

Patients with systemic lupus erythematosus (SLE) often struggle with high acute care use (emergency department [ED] visits and hospitalizations) and missed appointments. A nurse‐led integrated care management program (iCMP) at our multihospital system coordinates care for patients at high risk for frequent acute care use due to comorbidities, demographics, and prior use patterns. We studied whether iCMP enrollment was associated with decreased acute care use and missed appointment rates among patients with SLE.

Methods

We used a validated electronic health record (EHR) machine learning algorithm to identify adults with SLE and then determined which patients were enrolled in the iCMP from January 2012 to February 2019. We then used EHR data linked to insurance claims to compare the incidence rates of ED visits, hospitalizations, potentially avoidable ED visits and hospitalizations, and missed appointments during iCMP enrollment versus the 12 months prior to iCMP enrollment. We used Poisson regression to compare incidence rate ratios (IRRs) during the iCMP versus pre‐iCMP for each use measure, adjusted for age, sex, race and ethnicity, number of comorbidities, and calendar year, accounting for within‐patient clustering.

Results

We identified 67 iCMP enrollees with SLE and linked EHR claims data. In adjusted analyses, iCMP enrollment was associated with reduced rates of ED visits (IRR 0.63, 95% confidence interval [CI] 0.47‐0.85), avoidable ED visits (IRR 0.50, 95% CI 0.28‐0.88), and avoidable hospitalizations (IRR 0.37, 95% CI 0.21‐0.65).

Conclusion

A nurse‐led iCMP was effective at decreasing the rate of all ED visits and potentially avoidable ED visits and hospitalizations among high‐risk patients with SLE. Further studies are needed to confirm these findings in other patient populations.