Disease Outcomes and Care Fragmentation Among Patients With Systemic Lupus Erythematosus

Barriers for access and utilization of dementia care services in Europe: a systematic review

BACKGROUND

Dementia is a group of chronic diseases characterised by cognitive impairment that progressively disrupts daily functioning and requires increasing levels of healthcare, social support, and long-term care. Support for people with dementia can be provided by formal support systems although most of the care process relies upon informal care givers. Despite the availability of formal support systems and healthcare workers, the utilization of dementia care services remains suboptimal. Factors such as non-compliance, lack of awareness, and poor care coordination contribute to this issue. Understanding these barriers is crucial for improving service utilization and alleviating the economic burden on families and national health systems.

METHODS

This systematic review analysed the literature, published from 2013 to 2023, on barriers in Alzheimer and other dementia healthcare system, conducted on people living with a dementia, their caregivers, or healthcare workers in dementia care settings in Europe, following PRISMA guidelines. Searches in PubMed, Embase, PsycINFO, Health Technology Assessment Database, and Web of Science used terms related to Alzheimer's, dementia, and access barriers. Rayyan AI supported full-text review, with quality assessed via the Mixed Methods Appraisal Tool.

RESULTS

Over 1298 articles, 29 studies met the inclusion criteria. These studies highlighted several barriers to dementia care, categorised into information, organizational, cultural, stigma-related, financial, and logistical challenges. Informational and educational barriers included a lack of awareness and knowledge among caregivers. Organizational barriers involved poor care coordination and unclear access procedures. Cultural and stigma-related barriers were linked to societal attitudes towards dementia. Financial barriers were associated with the high costs of care, and logistical barriers included limited availability and accessibility of support services.

CONCLUSIONS

To enhance the quality of life for individuals living with dementia, it is crucial to address these identified barriers through tailored interventions and management programs. Improving care coordination, communication, and training for healthcare professionals, alongside reducing systemic delays, are essential steps toward more effective dementia care. Easing the burden of care with tailored interventions and management programmes is mandatory to improve the quality of life of persons living with dementia and their families.

Data linkage multiplies research insights across diverse healthcare sectors

In all fields of study, as well as government and commerce, high-quality data enables informed decision-making. Linking data from disparate sources multiplies the opportunities for novel insights and evidence-based decision-making for an increasingly large range of administrative, clinical, research, and population health use cases. In recent years, novel methods, including privacy-preserving record linkage methods, have emerged. However, regardless of the method, successful data linkage is highly dependent on data quality and completeness and has to be balanced by the increased risk of re-identification of the subsequently linked data. Opportunities for the future include sharing tools for responsible linkage across silos, enhancing data to improve quality and completeness, and ensuring linkage leverages inclusive and representative datasets to ensure a balance between individual privacy and representation in research and novel discoveries. Here we provide a brief overview of the history and current state of data linkage, highlight the opportunities created by linked population data across critical research sectors, and describe the technology and policies that govern its usage.

Effects of Social Vulnerability and Environmental Burden on Care Fragmentation and Social Needs Among Individuals With Rheumatic Conditions

OBJECTIVE

Environmental hazards and heightened neighborhood social vulnerability coexist and disproportionately affect minoritized populations. We investigated associations between exposure to adverse environmental burden concentrated in areas with high social vulnerability and care fragmentation (missed appointments, emergency department visits, and hospitalizations) and social needs (eg, food and housing insecurity) among individuals with rheumatic conditions.

METHODS

We identified adults receiving care in a Massachusetts multihospital system with at least two rheumatic disease codes and complete street addresses. Geocoded addresses were linked to the Centers for Disease Control and Prevention/Agency for Toxic Substances and Disease Registry Social-Environmental Ranking (SER), which combines census-tract social vulnerability variables (eg, socioeconomic status) with environmental hazards (eg, air and water pollution). Social needs were obtained from self-reported surveys. Multilevel, multinomial regression models estimated associations between SER quartiles and care fragmentation and social need burden, accounting for demographics and comorbidities.

RESULTS

Among 16,856 individuals with rheumatic conditions, 70% were female, 6% were Black, 82% were White, and 7% resided in the highest combined social vulnerability and environmental burden (SER quartile 4) areas. Among 7,083 with social needs data, 19% experienced more than one challenge. Individuals in SER quartile 4 areas (vs quartile 1) had 2.02 (95% confidence interval [CI] 1.67-2.46) times greater odds of at least four care fragmentation occurrences (vs 0) and 2.37 (95% CI 1.73-3.25) times greater odds of at least two social needs (vs 0).

CONCLUSION

Residence in areas of high combined adverse environmental burden and social vulnerability was associated with significantly greater odds of care fragmentation and social needs. Addressing structural factors and emerging environmental threats contributing to these adverse exposures is essential to reduce rheumatic disease care inequities.

Dangers of Herpesvirus Infection in SLE Patients Under Anifrolumab Treatment: Case Reports and Clinical Implications

BACKGROUND Anifrolumab, a monoclonal antibody targeting the type 1 interferon (IFN-I) signaling pathway, holds promise as a therapeutic intervention for systemic lupus erythematosus (SLE). However, its use is associated with an increased risk of infections, particularly viral infections like herpes zoster (HZ). Results from the clinical trials on anifrolumab show yearly rates of upper respiratory tract infections of 34% and HZ of 6.1%. An increased frequency of other specific viral infections, including herpes simplex virus (HSV), was not reported. CASE REPORT Here, we present 2 cases of patients with SLE treated with anifrolumab, both experiencing severe adverse reactions in the form of disseminated herpesvirus infections, specifically disseminated HSV-2 and varicella zoster virus (VZV, HZ encephalitis). To the best of our knowledge, no previous reports of severe disseminated HSV-2 or HZ have been published in anifrolumab-treated patients. The patient in case 1 experienced a primary HSV-2 infection following anifrolumab treatment, potentially explaining the severity of the infection. The patient in case 2 had a history of previous HZ skin infections, which may have increased her risk of disseminated infection. Both patients recovered from the infections with minor sequelae, but they still require prophylactic antiviral treatment. These cases highlight the critical role of IFN-I immunity in protecting against herpesvirus infections. CONCLUSIONS Thorough risk assessment before anifrolumab initiation, considering the patient's viral infection history, vaccination status, and potential exposure risks, is essential. Administration of recombinant zoster vaccine before anifrolumab therapy may benefit susceptible individuals.

Multiplicative Impact of Adverse Social Determinants of Health on Outcomes in Lupus Nephritis: A Meta-analysis and Systematic Review

OBJECTIVE

Social determinants of health (SDoH) likely contribute to outcome disparities in lupus nephritis (LN). Understanding the overall burden and contribution of each domain could guide future health equity-focused interventions to improve outcomes and reduce disparities in LN. Objectives of this meta-analysis were to 1) determine the association of overall SDoH and specific SDoH domains on LN outcomes and 2) develop a framework for the multidimensional impact of SDoH on LN outcomes.

METHODS

We performed a comprehensive search of studies measuring associations between SDoH and LN outcomes. We examined pooled odds of poor LN outcomes including death, end-stage kidney disease, or cardiovascular disease in patients with and without adverse SDoH. Additionally, we calculated the pooled odds ratios of outcomes by four SDoH domains: individual (eg, insurance), health care (eg, fragmented care), community (eg, neighborhood socioeconomic status), and health behaviors (eg, smoking).

RESULTS

Among 531 screened studies, 31 meeting inclusion criteria and 13 with raw data were included in meta-analysis. Pooled odds of poor outcomes were 1.47-fold higher in patients with any adverse SDoH. Patients with adverse SDoH in individual and health care domains had 1.64-fold and 1.77-fold higher odds of poor outcomes. We found a multiplicative impact of having two or more adverse SDoH on LN outcomes. Black patients with public insurance and fragmented care had 12-fold higher odds of poor LN outcomes.

CONCLUSION

Adverse SDoH is associated with poor LN outcomes. Having two or more adverse SDoH, specifically in different SDoH domains, had a multiplicative impact leading to worse LN outcomes, widening disparities.

Towards an understanding of the biopsychosocial determinants of CVD in SLE: a scoping review

OBJECTIVE

Systemic lupus erythematosus (SLE) is a chronic autoimmune condition with significant physical, mental, psychosocial and economic impacts. A main driver of SLE morbidity and mortality is cardiovascular disease (CVD). Both SLE and CVD exhibit disparities related to gender, race and other social dimensions linked with biological outcomes and health trajectories. However, the biospsychosocial dimensions of CVD in SLE populations remain poorly understood. The objective of this study was to systematically investigate the existing literature around known social factors influencing the development of CVD in SLE.

METHODS

A scoping review protocol was developed according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping reviews guidelines. The search strategy encompassed three main concepts: SLE, CVD and social factors. Four databases were searched (PubMed, SCOPUS, PsychINFO and CINAHL). 682 studies were identified for screening. Articles were screened in two phases (title/abstract and full text) to determine whether they fulfilled the selection criteria.

RESULTS

Nine studies were included after screening. All were conducted in the USA between 2009 and 2017. Six studies (67%) were cross-sectional and three (33%) were longitudinal. Most employed SLE cohorts (n=7, 78%) and two drew from healthcare databases (n=2; 22%). We identified five main themes encompassing social factors: socioeconomic status and education (n=5; 56%), race and/or ethnicity (n=7; 78%), mental health (n=2; 22%), gender (n=3; 33%) and healthcare quality and/or insurance (n=2; 22%). Overall, low income, fewer years of education, black race and/or ethnicity, depression, male gender, lack of insurance and healthcare fragmentation were all associated with CVD risk factors and outcomes in SLE.

CONCLUSIONS

While several social factors contribute to CVD in SLE populations, considerable gaps remain as many social determinants remain un(der)explored. There is rich opportunity to integrate social theory, advance conceptualisations of race and/or ethnicity and gender, expand investigations of mental health and explore novel geographical contexts. In healthcare policy and practice, identified social factors should be considered for SLE populations during decision-making and treatment, and education resources should be targeted for these groups.

Lupus nephritis and socioeconomic status: Findings from the Southern California lupus registry

OBJECTIVE

Lupus nephritis (LN) is a major cause of morbidity and mortality in systemic lupus erythematosus (SLE). Despite multiple studies addressing healthcare disparities, disparate outcomes in LN persist. We investigate herein the association between socioeconomic status (SES) and LN as well as the association between SES, SLE disease activity index (SLEDAI), and treatment response.

METHODS

Patients were selected from the Southern California Lupus Registry (SCOLR), a registry enrolling all-comers with SLE. Analysis was completed on individuals with public vs. private insurance. Insurance and ethnicity were used as surrogate variables for SES, and we tested differences in means.

RESULTS

After adjusting for age and sex, public insurance was independently associated with the prevalence of LN. Analysis of 35 patients revealed greater proteinuria and mean SLEDAI in patients with public insurance at baseline and 6 months. Baseline, 6-, and 12-month SLEDAI means were significantly lower in Asian/Pacific Islanders (PI) compared to others. While non-Hispanic Whites demonstrated mean SLEDAI improvement over 6 months, Asians/PI, Blacks, and Hispanics demonstrated worsened disease activity on average.

CONCLUSION

Low SES, when defined by insurance, is associated with greater adverse outcomes in SLE. This is the first regional study that compares differences in treatment response in LN patients with low SES as well as association of SES with long-term outcomes in SLE and LN in southern California.

Privacy-preserving record linkage across disparate institutions and datasets to enable a learning health system: The national COVID cohort collaborative (N3C) experience

Introduction

Research driven by real-world clinical data is increasingly vital to enabling learning health systems, but integrating such data from across disparate health systems is challenging. As part of the NCATS National COVID Cohort Collaborative (N3C), the N3C Data Enclave was established as a centralized repository of deidentified and harmonized COVID-19 patient data from institutions across the US. However, making this data most useful for research requires linking it with information such as mortality data, images, and viral variants. The objective of this project was to establish privacy-preserving record linkage (PPRL) methods to ensure that patient-level EHR data remains secure and private when governance-approved linkages with other datasets occur.

Methods

Separate agreements and approval processes govern N3C data contribution and data access. The Linkage Honest Broker (LHB), an independent neutral party (the Regenstrief Institute), ensures data linkages are robust and secure by adding an extra layer of separation between protected health information and clinical data. The LHB's PPRL methods (including algorithms, processes, and governance) match patient records using "deidentified tokens," which are hashed combinations of identifier fields that define a match across data repositories without using patients' clear-text identifiers.

Results

These methods enable three linkage functions: Deduplication, Linking Multiple Datasets, and Cohort Discovery. To date, two external repositories have been cross-linked. As of March 1, 2023, 43 sites have signed the LHB Agreement; 35 sites have sent tokens generated for 9 528 998 patients. In this initial cohort, the LHB identified 135 037 matches and 68 596 duplicates.

Conclusion

This large-scale linkage study using deidentified datasets of varying characteristics established secure methods for protecting the privacy of N3C patient data when linked for research purposes. This technology has potential for use with registries for other diseases and conditions.

Racial and Ethnic Distribution of Rheumatic Diseases in Health Systems of the National Patient-Centered Clinical Research Network

OBJECTIVE

To evaluate the relative prevalence of 8 rheumatic and musculoskeletal diseases (RMDs) across racial and ethnic groups within the National Patient-Centered Clinical Research Network (PCORnet).

METHODS

Electronic health records from participating PCORnet institutions and systems from January 1, 2013, to December 31, 2018, were used to identify adult patients with ≥ 2 diagnosis codes for rheumatoid arthritis (RA), systemic lupus erythematosus (SLE), osteoporosis (OP), granulomatosis with polyangiitis (GPA), microscopic polyangiitis (MPA), eosinophilic granulomatosis with polyangiitis (EGPA), giant cell arteritis (GCA), and Takayasu arteritis (TAK). Among those with race and ethnicity data available, we compared prevalence of RMDs by race and ethnicity.

RESULTS

Data from 28,059,546 patients were available for analysis. RA was more common in patients who were American Indian or Alaska Native vs White, with a prevalence of 11.57 vs 10.11/1000 (odds ratio [OR] 1.15, 95% CI 1.09-1.22). SLE was more common in patients who were Black or African American (6.73/1000), American Indian or Alaska Native (3.82/1000), and Asian (3.39/1000) vs White (2.80/1000; OR 2.43, 95% CI 2.39-2.46; OR 1.39, 95% CI 1.25-1.53; OR 1.26, 95% CI 1.21-1.31, respectively). SLE was more common in patients who were Hispanic vs non-Hispanic (prevalence 3.93 vs 3.45/1000, OR 1.14, 95% CI 1.12-1.16). TAK was more common in patients who were Asian vs White (prevalence 0.05 vs 0.04/1000, OR 1.43, 95% CI 1.00-2.03). OP, RA, and the vasculitides were all more common in patients who were White vs Black or African American.

CONCLUSION

These data provide important information on the prevalence of RMDs by race and ethnicity in the United States. PCORnet can be used as a reliable data source to study RMDs within a large representative population.

Identification and assessment of classification criteria attributes for systemic lupus erythematosus in a regional medical record data network

OBJECTIVE

To assess the application and utility of algorithms designed to detect features of SLE in electronic health record (EHR) data in a multisite, urban data network.

METHODS

Using the Chicago Area Patient-Centered Outcomes Research Network (CAPriCORN), a Clinical Data Research Network (CDRN) containing data from multiple healthcare sites, we identified patients with at least one positively identified criterion from three SLE classification criteria sets developed by the American College of Rheumatology (ACR) in 1997, the Systemic Lupus International Collaborating Clinics (SLICC) in 2012, and the European Alliance of Associations for Rheumatology and the ACR in 2019 using EHR-based algorithms. To measure the algorithms' performance in this data setting, we first evaluated whether the number of clinical encounters for SLE was associated with a greater quantity of positively identified criteria domains using Poisson regression. We next quantified the amount of SLE criteria identified at a single healthcare institution versus all sites to assess the amount of SLE-related information gained from implementing the algorithms in a CDRN.

RESULTS

Patients with three or more SLE encounters were estimated to have documented 2.77 (2.73 to 2.80) times the number of positive SLE attributes from the 2012 SLICC criteria set than patients without an SLE encounter via Poisson regression. Patients with three or more SLE-related encounters and with documented care from multiple institutions were identified with more SLICC criteria domains when data were included from all CAPriCORN sites compared with a single site (p<0.05).

CONCLUSIONS

The positive association observed between amount of SLE-related clinical encounters and the number of criteria domains detected suggests that the algorithms used in this study can be used to help describe SLE features in this data environment. This work also demonstrates the benefit of aggregating data across healthcare institutions for patients with fragmented care.

Sex and Racial Differences in Systemic Lupus Erythematosus Among US Adults in the All of Us Research Program

OBJECTIVE

Men with systemic lupus erythematosus (SLE) are an understudied population. The present study characterized differences between men and women with SLE.

METHODS

We examined cross-sectionally participants with SLE in the All of Us Research Program, a US cohort with a participant survey at enrollment (May 2018 to June 2022) and linked electronic health record (EHR) data. We described and compared characteristics of men and women with SLE encompassing disease manifestations and prescribed medications from EHR data and socioeconomic factors, including health literacy and health care access and utilization, from surveys. We reported racial variations stratified by sex.

RESULTS

Of 1,462 participants with SLE, 126 (9%) were male. Men reported lower educational attainment and less fatigue than women. Myocardial infarction was significantly more common in men. Men had significantly less confidence in completing medical forms than women and exhibited a trend toward requiring more help in reading health-related materials. Barriers to health care access and utilization were common in both men and women (40% versus 47%, respectively, reporting some reason for delay in care; P = 0.35). Women of race other than Black or African American or White more often reported delaying care due to cultural differences between patient and provider.

CONCLUSION

Our study demonstrated major clinical and health literacy differences in men and women with SLE. Socioeconomic factors were significant barriers to health care in both sexes. Our study suggests men have disproportionately poorer health literacy, which may exacerbate preexisting disparities. Further large prospective studies, focusing on recruiting men, are needed to better characterize racial differences in men with SLE.

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.

A Framework to Overcome Challenges in the Management of Infections in Patients with Systemic Lupus Erythematosus

Infections remain one of the leading causes of death in systemic lupus erythematosus (SLE), despite awareness of factors contributing to increased susceptibility to infectious diseases in SLE. Clinicians report challenges and barriers when encountering infection in SLE as certain infections may mimic a lupus flare. There are no evidence-based practice guidelines in the management of fever in SLE, with suboptimal implementations of evidence-based benefits related to infectious disease control and/or prevention strategies in SLE. Vigilance in identifying an opportunistic infection must be stressed when confronted by a diagnostic challenge during a presentation with a febrile illness in SLE. A balanced approach must focus on management of infections in SLE, and reduction in the glucocorticoids dose, given the need to control lupus disease activity to avoid lupus related organ damage and mortality. Clinical judgement and application of biomarkers of lupus flares could reduce false positives and overdiagnosis and improve differentiation of infections from lupus flares. Further precision-based risk and screening measures must identify individuals who would benefit most from low dose immunosuppressive therapy, targeted immune therapy, and vaccination programs.

Care Fragmentation Following Hospitalization for Atrial Fibrillation in the United States

Background

Despite the high prevalence of atrial fibrillation (AF), the incidence and impact of care fragmentation (CF) following hospitalization for this condition remain unstudied.

Objectives

The present study used a national database to determine the incidence of and risk factors associated with CF. Outcomes following CF were also examined.

Methods

All adults who were discharged alive following hospitalization for AF (index facility) were identified within the 2016 to 2019 Nationwide Readmissions Database. Patients requiring nonelective rehospitalization within 30 days of discharge were categorized into 2 groups. The CF cohort included those readmitted to a nonindex facility, while others were classified as noncare fragmentation. Multivariable regression was used to evaluate factors associated with CF, as well as its impact on in-hospital mortality, length of stay, and costs at rehospitalization.

Results

Of an estimated 686,942 patients who met study criteria and survived to discharge, 13.6% (n = 93,376) experienced unplanned readmission within 30 days. Among those readmitted, 21.3% (n = 19,906) were readmitted to a nonindex facility. Patients who experienced CF were younger, more commonly male and less frequently readmitted for AF. Upon multivariable adjustment, male sex, Medicaid insurance (ref: private), and transfer status were associated with increased odds of CF. Upon readmission, CF was associated with a 18% increment in relative odds of in-hospital mortality, a 0.3-day increment in length of stay, and an additional $1,500 in hospitalization costs.

Conclusions

CF was associated with significant clinical and financial burden. Further studies are needed to address factors which contribute to increased mortality and resource use following CF.

Fragmented care and chronic illness patient outcomes: A systematic review

AIM

This systematic review examined recent studies on fragmented care of patients with chronic illnesses in the United States to examine the association between fragmented care and patient outcomes.

DESIGN

Systematic review.

METHODS

Studies published from January 1, 2012, to June 1, 2022, were selected from four electronic databases (PubMed, CINAHL, PsycINFO, and Web of Science), following the Cochrane protocols and PRISMA statements. Based on inclusion and exclusion criteria, ten studies that examined associations published between 2015 and 2021 were selected. A methodological assessment was conducted with the Quality Assessment Tool for Observational Cohort and Cross-Sectional Studies. The studies selected for this systematic review were rated as having fair methodological rigor. The protocol of this review was registered in the International Prospective Register of Systematic Reviews (PROSPERO registration number: CRD42021285379). Because of the heterogeneity of the selected studies' data, a systematic narrative synthesis of the extracted data was conducted.

RESULTS

Three common measures for fragmented care and outcomes were synthesized. A synthesis of the studies found significant association between fragmented care and adverse outcomes of chronic illnesses (emergency department visits, utilization of diagnostic tests, and healthcare costs). Despite the heterogeneity of significant findings between fragmented care and patient outcomes, the relationship between these outcomes and fragmented care was significant. This systematic review provides clear evidence of the association between care fragmentation and its adverse effects on individuals with chronic illnesses. However, mixed relationship findings were also reported.

CONCLUSION

Given the demands of overcoming fragmented care in healthcare settings in the United States, nurse managers, healthcare leaders, and policymakers should utilize this evidence to reduce fragmented care strategies. It is recommended that nurse researchers and other healthcare practitioners conduct further studies to understand the contexts and mechanisms of fragmented care and develop theoretical frameworks for care fragmentation and chronic illness outcomes.

Formative research to promote lupus awareness and early screening at Historically Black College and University (HBCU) communities in South Carolina

BACKGROUND

Systemic lupus erythematosus or lupus is a severe chronic autoimmune disorder that disproportionately impacts young African Americans. Increasing lupus awareness in this high-risk group may be an effective approach to ultimately improving lupus outcomes. To begin to address this disparity, this report describes qualitative data to be utilized in the development of a campaign to enhance awareness of lupus on Historically Black Colleges and University (HBCU) campuses.

METHODS

Two focus groups (N = 14) were held with African American students in the network of HBCU's in South Carolina to examine perspectives of focus group participants on knowledge, awareness, and experiences with lupus.

RESULTS

Five key emergent themes included: (1) Lupus Knowledge and Awareness, (2) Barriers for Not Seeking Healthcare, (3) Fatalism for Disease Burden, (4) Lifestyle Debilitation, and (5) Elevation of Education and Advocacy for Lupus. Additionally, five key recommendations emerged to improve lupus awareness and support, including: (1) remaining positive, (2) developing a supportive network, (3) the importance of increasing advocacy efficacy, and (4) messaging strategies around lupus, and (5) providing education to foster knowledge around the clinical impacts of lupus.

CONCLUSION

Participants in our study stressed the necessity of lupus education and awareness among African American youth and expressed the desire for resources that would enable them to advocate for themselves and their families. Given the early age of onset for lupus, it is therefore vital to include African American youth in increasing education and awareness about lupus.

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.

Healthcare disparities in telemedicine for rheumatology care

PURPOSE OF REVIEW

We summarize the recent literature published in the last 2 years on healthcare disparities observed in the delivery of rheumatology care by telemedicine. We highlight recent research dissecting the underpinnings of healthcare disparities and identify potentially modifiable contributing factors.

RECENT FINDINGS

The COVID-19 pandemic has had major impacts on care delivery and has led to a pronounced increase in telemedicine use in rheumatology practice. Telemedicine services are disproportionately underutilized by racial/ethnic minority groups and among patients with lower socioeconomic status. Disparities in telemedicine access and use among vulnerable populations threatens to exacerbate existing outcome inequalities affecting people with rheumatic disease.

SUMMARY

Telemedicine has the potential to expand rheumatology services by reaching traditionally underserved communities. However, some areas lack the infrastructure and technology to engage in telemedicine. Addressing health equity and the digital divide may help foster more inclusive telemedicine care.

Phenotypic Presentations of Heart Failure Among Patients With Chronic Inflammatory Diseases

Objective

Characterize incident heart failure (HF) phenotypes among patients with various chronic inflammatory diseases (CIDs).

Background

Several CIDs are associated with increased HF risk, but differences in HF phenotypes across CIDs are incompletely understood. No prior studies to our knowledge have manually adjudicated HF phenotypes across a CID spectrum.

Methods

We screened for patients with—and controls without—CIDs who had possible HF, then hand-adjudicated HF endpoints. Possible HF resulted from a single HF administrative code; HF was deemed definite/probable vs. absent using standardized, validated criteria. We queried adjudicated HF patients' charts to define specific HF phenotypes, then compared clinical, demographic, and HF phenotypic characteristics for HF patients with specific CIDs vs. non-CID controls using Fisher's exact test.

Results

Out of 415 possible HF patients, 192 had definite/probable HF. Significant differences in HF phenotypes existed across CIDs. Isolated right-sided HF was present in 27.8% of patients with SSc and adjudicated HF, which is more than twice as common as it was in any other CID. Left ventricular systolic dysfunction was most common in patients with HIV and lupus (SLE); mean LVEF was 45.0% ± 18.6% for HIV and 41.3% ± 17.1% for SLE, but was 57.7% ± 10.7% for SSc. Those with HIV and multiple CIDs were most likely to have coronary artery disease.

Conclusions

Different CIDs present with different phenotypes of physician-adjudicated HF, potentially reflecting different underlying inflammatory pathophysiologies. Larger studies are needed to confirm these findings, as are mechanistic studies focused on understanding specific immunoregulatory contributors to HF.

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.

Comparative Risk of Incident Coronary Heart Disease Across Chronic Inflammatory Diseases

Background: Chronic inflammatory diseases (CIDs) are considered risk enhancing factors for coronary heart disease (CHD). However, sparse data exist regarding relative CHD risks across CIDs. Objective: Determine relative differences in CHD risk across multiple CIDs: psoriasis, rheumatoid arthritis (RA), systemic lupus erythematosus (SLE), human immunodeficiency virus (HIV), systemic sclerosis (SSc), and inflammatory bowel disease (IBD). Methods: The cohort included patients with CIDs and controls without CID in an urban medical system from 2000 to 2019. Patients with CIDs were frequency-matched with non-CID controls on demographics, hypertension, and diabetes. CHD was defined as myocardial infarction (MI), ischemic heart disease, and/or coronary revascularization based on validated administrative codes. Multivariable-adjusted Cox models were used to determine the risk of incident CHD and MI for each CID relative to non-CID controls. In secondary analyses, we compared CHD risk by disease severity within each CID. Results: Of 17,049 patients included for analysis, 619 had incident CHD (202 MI) over an average of 4.4 years of follow-up. The multivariable-adjusted risk of CHD was significantly higher for SLE [hazard ratio (HR) 1.9, 95% confidence interval (CI) 1.2, 3.2] and SSc (HR 2.1, 95% CI 1.2, 3.9). Patients with SLE also had a significantly higher risk of MI (HR 3.6, 95% CI 1.9, 6.8). When CIDs were categorized by markers of disease severity (C-reactive protein for all CIDs except HIV, for which CD4 T cell count was used), greater disease severity was associated with higher CHD risk across CIDs. Conclusions: Patients with SLE and SSc have a higher risk of CHD. CHD risk with HIV, RA, psoriasis, and IBD may only be elevated in those with greater disease severity. Clinicians should personalize CHD risk and treatment based on type and severity of CID.

Super fragmented: a nationally representative cross-sectional study exploring the fragmentation of inpatient care among super-utilizers

Background

Super-utilizers with 4 or more admissions per year frequently receive low-quality care and disproportionately contribute to healthcare costs. Inpatient care fragmentation (admission to multiple different hospitals) in this population has not been well described.

Objective

To determine the prevalence of super-utilizers who receive fragmented care across different hospitals and to describe associated risks, costs, and health outcomes.

Research design

We analyzed inpatient data from the Health Care Utilization Project’s State Inpatient and Emergency Department database from 6 states from 2013. After identifying hospital super-utilizers, we stratified by the number of different hospitals visited in a 1-year period. We determined how patient demographics, costs, and outcomes varied by degree of fragmentation. We then examined how fragmentation would influence a hospital’s ability to identify super-utilizers.

Subjects

Adult patients with 4 or more inpatient stays in 1 year.

Measures

Patient demographics, cost, 1-year hospital reported mortality, and probability that a single hospital could correctly identify a patient as a super-utilizer.

Results

Of the 167,515 hospital super-utilizers, 97,404 (58.1%) visited more than 1 hospital in a 1-year period. Fragmentation was more likely among younger, non-white, low-income, under-insured patients, in population-dense areas. Patients with fragmentation were more likely to be admitted for chronic disease management, psychiatric illness, and substance abuse. Inpatient fragmentation was associated with higher yearly costs and lower likelihood of being identified as a super-utilizer.

Conclusions

Inpatient care fragmentation is common among super-utilizers, disproportionately affects vulnerable populations. It is associated with high yearly costs and a decreased probability of correctly identifying super-utilizers.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12913-021-06323-5.

Evaluation of structured data from electronic health records to identify clinical classification criteria attributes for systemic lupus erythematosus

OBJECTIVE

Our objective was to develop algorithms to identify lupus clinical classification criteria attributes using structured data found in the electronic health record (EHR) and determine whether they could be used to describe a cohort of people with lupus and discriminate them from a defined healthy control cohort.

METHODS

We created gold standard lupus and healthy patient cohorts that were fully adjudicated for the American College of Rheumatology (ACR), Systemic Lupus International Collaborating Clinics (SLICC) and European League Against Rheumatism/ACR (EULAR/ACR) classification criteria and had matched EHR data. We implemented rule-based algorithms using structured data within the EHR system for each attribute of the three classification criteria. Individual criteria attribute and classification criteria algorithms as a whole were assessed over our combined cohorts and the overall performance of the algorithms was measured through sensitivity and specificity.

RESULTS

Individual classification criteria attributes had a wide range of sensitivities, 7% (oral ulcers) to 97% (haematological disorders) and specificities, 56% (haematological disorders) to 98% (photosensitivity), but all could be identified in EHR data. In general, algorithms based on laboratory results performed better than those primarily based on diagnosis codes. All three classification criteria systems effectively distinguished members of our case and control cohorts, but the SLICC criteria-based algorithm had the highest overall performance (76% sensitivity, 99% specificity).

CONCLUSIONS

It is possible to characterise disease manifestations in people with lupus using classification criteria-based algorithms that assess structured EHR data. These algorithms may reduce chart review burden and are a foundation for identifying subpopulations of patients with lupus based on disease presentation to support precision medicine applications.

Use of an Integrated Care Management Program to Uncover and Address Social Determinants of Health for Individuals With Lupus

Objective

We studied patients with systemic lupus erythematosus (SLE) enrolled in a nurse‐led, multihospital, primary care–based integrated care management program (iCMP) for complex patients with chronic conditions to understand whether social determinants of health (SDoH), including food insecurity, housing instability, and financial constraints, were prevalent in this population.

Methods

The academic hospital‐based iCMP enrolls the top 2% of medically and psychosocially complex patients identified on the basis of clinical complexity health care use, and primary care provider referral. A nurse conducts needs assessments and coordinates care. We reviewed the electronic medical records of enrolled patients with SLE to identify SDoH needs and corresponding actions taken 1 year prior to iCMP enrollment using physicians’ and social workers’ notes, and during enrollment using iCMP team members’ notes.

Results

Among 69 patients with SLE in the iCMP, in the year prior to enrollment, 57% had documentation of one or more SDoH challenges, compared with 94% during enrollment. iCMP nurses discussed and addressed one or more SDoH issues for 81% of the patients; transportation challenges, medication access, mental health care access, and financial insecurity were the most prevalent. Nurses connected 75% of these patients with related resources and support.

Conclusion

Although SDoH‐related issues were not used to identify patients for the iCMP, the vast majority of enrolled medically and psychosocially complex patients with SLE had these needs. The iCMP team uncovered and addressed SDoH‐related concerns not documented prior to iCMP participation. Expansion of care management programs like the iCMP would help identify, document, and address these barriers that contribute to disparities in chronic disease care and outcomes.

Community-Engaged Research: Leveraging Community-Academic Partnerships to Reduce Disparities and Inequities in Lupus Care

Community-engaged research is an effective tool to address health care disparities and inequities in lupus care. Community-based participatory research allows the highest degree of community engagement, but may be limited by the challenges associated with long-term funding and implementation. Community-academic partnerships are a feasible way to allow for varying degrees of community engagement and develop sustainable infrastructure. Two examples of community-engaged research in rheumatology are MONARCAS and Lupus Conversations.

Differential Associations of Chronic Inflammatory Diseases With Incident Heart Failure

OBJECTIVES

The purpose of this study was to compare the risks of incident heart failure (HF) among a variety of chronic inflammatory diseases (CIDs) and to determine whether risks varied by severity of inflammation within each CID.

BACKGROUND

Individuals with CIDs are at elevated risk for cardiovascular diseases, but data are limited regarding risk for HF.

METHODS

An electronic health records database from a large urban medical system was examined, comparing individuals with CIDs with frequency-matched controls without CIDs, all of whom were receiving regular outpatient care. Rates of incident HF were determined by using the Kaplan-Meier method and subsequently used multivariate-adjusted proportional hazards models to compare HF risks for each CID. Exploratory analyses determined HF risks by proxy measurement of CID severity.

RESULTS

Of 37,636 patients (n = 18,278 patients with CIDs; and n = 19,358 controls without CIDs) there were 960 incident HF cases over a median of 3.6 years. Risks for incident HF were significantly or borderline significantly elevated for patients with systemic sclerosis (hazard ratio [HR]: 7.26; 95% confidence interval [CI]: 5.72 to 9.21; p < 0.01), systemic lupus erythematosus (HR: 3.15; 95% CI: 2.41 to 4.11; p < 0.01), rheumatoid arthritis (HR: 1.39; 95% CI: 1.13 to 1.71; p < 0.01), and human immunodeficiency virus (HR: 1.28; 95% CI: 0.99 to 1.66; p = 0.06). There was no association between psoriasis or inflammatory bowel disease and incident HF, although patients with those CIDs with higher levels of C-reactive protein had higher risks for HF than controls.

CONCLUSIONS

Systemic sclerosis and systemic lupus erythematosus were associated with the highest risks of HF, followed by rheumatoid arthritis and HIV. Measurements of inflammation were associated with HF risk across different CIDs.

Effectiveness and cost-effectiveness of a multicomponent intervention to implement a clinical practice guideline for systemic lupus erythematosus: protocol for a cluster-randomized controlled trial

Background

Systemic lupus erythematosus (SLE) is a heterogeneous autoimmune disease with significant potential morbidity and mortality. Substantial gaps have been documented between the development and dissemination of clinical practice guidelines (CPG) and their implementation in practice. The aim of this study is to assess the effectiveness and cost-effectiveness of a multi-component knowledge transfer intervention to implement a CPG for the management of SLE (CPG-SLE).

Methods

The study is an open, multicentre, controlled trial with random allocation by clusters to intervention or control. Clusters are four public university hospitals of the Canary Islands Health Service where rheumatologists are invited to participate. Patients diagnosed with SLE at least one year prior to recruitment are selected. Rheumatologists in intervention group receive a short educational group programme to both update their knowledge about SLE management according to CPG-SLE recommendations and to acquire knowledge and training on use of the patient-centred approach, a decision support tool embedded in the electronic clinical record and a quarterly feedback report containing information on management of SLE patients. Primary endpoint is change in self-perceived disease activity. Secondary endpoints are adherence of professionals to CPG-SLE recommendations, health-related quality of life, patient perception of their participation in decision making, attitudes of professionals towards shared decision making, knowledge of professionals about SLE and use of healthcare resources. Calculated sample size is 412 patients. Data will be collected from questionnaires and clinical records. Length of follow-up will be 18 months. Multilevel mixed models with repeated time measurements will be used to analyze changes in outcomes over time. Cost-effectiveness, from both social and healthcare services perspectives, will be analyzed by measuring effectiveness in terms of quality-adjusted life years gained. Deterministic and probabilistic sensitivity analyses are planned.

Discussion

Impact of CPGs in clinical practice could be improved by applying proven value interventions to implement them. The results of this ongoing trial are expected to generate important scientifically valid and reproducible information not only on clinical effectiveness but also on cost-effectiveness of a multi-component intervention for implementation of a CPG based on communication technologies for chronic patients in the hospital setting.

Trial registration

ClinicalTrial.gov NCT03537638. Registered on 25 May 2018.

Implementation and dissemination of an African American popular opinion model to improve lupus awareness: an academic-community partnership

OBJECTIVE

Lupus is a chronic, autoimmune disease that disproportionately affects African Americans. We adapted the Centers for Disease Control and Prevention's Popular Opinion Leader model to implement an intervention tailored for African American individuals that leverages an academic-community partnership and community-based social networks to disseminate culturally appropriate lupus education.

METHODS

Academic rheumatologists, social scientists, and researchers in Boston, MA and Chicago, IL partnered with local lupus support groups, community organizations, and churches in neighborhoods with higher proportions of African Americans to develop curriculum and recruit community leaders with and without lupus (Popular Opinion Leaders; POLs). POLs attended four training sessions focused on lupus education, strategies to educate others, and a review of research methods. POLs disseminated information through their social networks and recorded their impact, which was mapped using a geographic information system framework.

RESULTS

We trained 18 POLs in greater Boston and 19 in greater Chicago: 97% were African American, 97% were female; and the mean age was 57 years. Fifty-nine percent of Boston POLs and 68% of Chicago POLs had lupus. POLs at both sites engaged members of their social networks and communities in conversations about lupus, health disparities, and the importance of care. Boston POLs documented 97 encounters with 547 community members reached. Chicago POLs documented 124 encounters with 4083 community members reached.

CONCLUSIONS

An adapted, community-based POL model can be used to disseminate lupus education and increase awareness in African American communities. Further research is needed to determine the degree to which this may begin to reduce disparities in access to care and outcomes.

Same- vs Different-Hospital Readmissions in Patients With Cirrhosis After Hospital Discharge

INTRODUCTION

There is a lack of data on the impact of readmission to the same vs a different hospital following an index hospital discharge in cirrhosis patients.

METHODS

We sought to describe rates and predictors of different-hospital readmissions (DHRs) among patients with cirrhosis and also determine the impact on cirrhosis outcomes including all-cause inpatient mortality and hospital costs. Using the national readmissions database, we identified cirrhosis hospitalizations in 2013. Regression analysis was used to determine the predictors of DHRs. A time-to-event analysis was performed to assess the impact on subsequent readmissions and all-cause inpatient mortality.

RESULTS

In 2013, there were 109,039 cirrhosis readmissions with 67% of these being same-hospital readmissions and 33% being DHRs (P < 0.001). Two percent of readmitted patients were treated at ≥4 different hospitals. The 30-day readmission rate was 29.1%. Predictors of DHR included Medicaid payer (adjusted odds ratio [OR] 1.07, 95% confidence interval [95% CI] 1.01-1.14), age (OR 0.98, 95% CI 0.978-0.982), elective admission (OR 1.09, 95% CI 1.01-1.17), hepatic encephalopathy (OR 1.20, 95% CI 1.16-1.25), hepatorenal syndrome (OR 1.09, 95% CI 1.03-1.16), and low socioeconomic status (OR 1.15, 95% CI 1.06-1.25). No difference was observed in 30-day readmission risk following a DHR (adjusted hazard ratio 1.044, 95% CI 0.975-1.118). In addition, there was no increased risk of inpatient death observed during a DHR within 30 days (adjusted hazard ratio 1.08, 95% CI 0.94-1.23). However, patients with DHR had significantly higher hospital costs and length of stay.

CONCLUSIONS

Majority of cirrhosis readmissions are same-hospital readmissions. Different-hospital readmissions do not increase the risk of 30-day readmissions and inpatient mortality but are associated with higher hospital costs.

Chronic obstructive pulmonary disease and rheumatic diseases: A systematic review on a neglected comorbidity

Background:

Although, both chronic obstructive pulmonary disease (COPD) and rheumatic diseases (RDs) are common, and each has significant impact on patients’ overall health/quality of life, their co-occurrence has received little attention, while 15% of COPD remains undiagnosed in RDs.

Objective:

To update the information regarding the comorbid state of RD/COPD (prevalence, incidence), to examine whether patients with RD have increased risk of developing COPD and vice versa, and what implications this comorbidity has on patients’ outcomes (mortality, hospitalizations, exacerbations).

Methods:

We performed a systematic literature review regarding the comorbidity of an RD (rheumatoid arthritis (RA), ankylosing spondylitis (AS), psoriatic arthritis (PsA), systemic lupus erythematosus (SLE), primary Sjogren syndrome disease (pSS), and systemic sclerosis (SSc)) with COPD. From 2803 reports retrieved, 33 articles were further screened. Finally, 27 articles were included.

Results:

Robust evidence supports that COPD develops up to 68% more frequently in patients with RA, as compared to the general population. Similarly, COPD is increased in every other RD that was studied. Further, self-referred arthritis is more common in COPD patients versus non-COPD controls and a predictor of worst self-rated health status. Patients with inflammatory arthritis/COPD have increased mortality (threefold in RA-COPD, irrespectively of which is first diagnosed), hospitalizations, and emergency visits.

Conclusion:

COPD is more common in patients with RA, AS, PsA, SLE, pSS, and SSc; yet, the association, vice versa, warrants further investigation. Nevertheless, COPD/RDs coexistence has significant prognostic value for worst outcomes; therefore, awareness is required to track early identification, especially in primary care.

Impact of diffuse large B-cell lymphoma on visits to different provider specialties among elderly Medicare beneficiaries: challenges for care coordination

Newly diagnosed diffuse large B-cell lymphoma (DLBCL) can pose significant challenges to care coordination. We utilized a social-ecological model to understand the impact of DLBCL diagnosis on visits to primary care providers (PCPs) and specialists, a key component of care coordination, over a 3-year period of cancer diagnosis and treatment. We used hurdle models and multivariable logistic regression with the Surveillance Epidemiology and End Result-Medicare linked dataset to analyze visits to PCPs and specialists by DLBCL patients (n = 5,455) compared with noncancer patients (n = 14,770). DLBCL patients were more likely to visit PCPs (adjusted odds ratio, AOR [95% confidence interval, CI]: 1.25 [1.18, 1.31]) and had greater number of visits to PCPs (β, SE: 0.384, -0.014) than noncancer patients. Further, DLBCL patients were more likely to have any visit to cardiologists (AOR [95% CI]: 1.40 [1.32, 1.47]), endocrinologists (1.43, [1.21, 1.70]), and pulmonologists (1.51 [1.36, 1.67]) than noncancer patients. Among DLBCL patients, the number of PCP visits markedly increased during the treatment period compared with the baseline period (β, SE: 0.491, -0.028) and then decreased to baseline levels (-0.464, -0.022). Visits to PCPs and specialists were much more frequent for DLBCL patients than noncancer patients, which drastically increased during the DLBCL treatment period for chronic care. More chronic conditions, treatment side effects, and frequent testing may have increased visits to PCPs and specialists. Interventions to improve care coordination may need to target the DLBCL treatment period, when patients are most vulnerable to poor care coordination.

The Roles of Systemic Lupus Erythematosus and Immunoglobulin A Nephropathy in Glomerular Disease

Two autoimmune diseases that can negatively affect kidney function are systemic lupus erythematosus (SLE) and immunoglobulin A (IgA) nephropathy. Autoimmune diseases occur when autoantibodies attack intrinsic tissue and generate inflammation in multiple body tissues, sometimes targeting specific organs. There is no cure for either SLE or IgA nephropathy, but both disorders may be medically managed.

Systemic Lupus Erythematosus in Primary Care: An Update and Practical Messages for the General Practitioner

Systemic Lupus Erythematosus (SLE) is a complex chronic autoimmune disease that manifests a wide range of organ involvement. Traditionally, the diagnosis and management of SLE is provided at secondary and tertiary centers to ensure prompt initiation of treatment, adequate control of flares and prevention of irreversible organ damage. Notwithstanding, the role of primary care in SLE is also emerging as there are still significant unmet needs such as the diagnostic delay at the community level and the high burden of therapy- and disease-related comorbidities. In the present review, we summarize practical messages for primary care physicians and general practitioners (GPs) concerning early diagnosis and proper referral of patients with SLE. In addition, we discuss the main comorbidities complicating the disease course and the recommended preventative measures, and we also provide an update on the role and current educational needs of GPs regarding the disease.

Perspectives of Medical Specialists From Different Disciplines on the Management of Systemic Lupus Erythematosus: An Interview Study

OBJECTIVE

Systemic lupus erythematosus (SLE) is a complex autoimmune disease that can affect multiple organ systems, with specialists from many disciplines often involved, which may lead to inconsistent care. We aimed to describe the attitudes and perspectives of specialists from different medical disciplines on the management of people with SLE.

METHODS

Face-to-face semistructured interviews were conducted with rheumatologists (n = 16), nephrologists (n = 16), and immunologists (n = 11) providing care to adults with SLE from 19 centers across Australia in 2015. All interviews were transcribed and analyzed thematically.

RESULTS

Five themes were identified: uncertainties in judgments (hampered by unknown and unclear etiology, inapplicable evidence, comprehending information dispersion), reflexive responses (anchoring to specialty training, anticipating outcomes, avoiding disaster, empathy for the vulnerable), overarching duty to patients (achieving patient priorities, maximizing adherence, controlling the disease, providing legitimate information, having adequate and relevant expertise), safeguarding professional opportunities (diversifying clinical skills, protecting colleagues' interests), and optimizing access to treatment (capitalizing on multidisciplinary care, acquiring breakthrough therapies).

CONCLUSION

Specialists strive to deliver evidence-informed patient-centered care, but recognize that they are anchored by their training. To overcome uncertainties in clinical management due to lack of high-quality evidence and specialty silo structures, specialists translated evidence from other disease settings and collaborated with other specialists in routine care. Developing robust evidence, tools to support evidence-informed decisions, and multidisciplinary shared-care pathways may improve the management of people with this complex disease.