We investigated the quality of care and factors associated with variations in care among a national cohort of Medicaid enrollees with incident lupus nephritis.
We investigated the quality of care and factors associated with variations in care among a national cohort of Medicaid enrollees with incident lupus nephritis.
Using Medicaid Analytic eXtract files from 47 US states and the District of Columbia for 2000–2006, we identified a cohort of individuals with incident lupus nephritis. We assessed performance on 3 measures of health care quality: receipt of immunosuppressive, renal-protective antihypertensive, and antimalarial medications. We examined performance on these measures over 1 year and applied multivariable logistic regression models to understand whether sociodemographic, geographic, or health care access factors were associated with higher performance on quality measures.
We identified 1,711 Medicaid enrollees with incident lupus nephritis. Performance on quality measures was low at 90 days (21.9% for immunosuppressive therapy, 44.0% for renal protection, and 36.4% for antimalarials) but increased by 1 year (33.7%, 56.4%, and 45.8%, respectively). Younger individuals, African Americans, and Hispanics were more likely to receive immunosuppressive therapy and hydroxychloroquine. Younger individuals were less likely to receive renal-protective antihypertensive medications. We found significant geographic variation in performance, with patients in the Northeast receiving higher quality of care compared to other regions. Poor access to health care, as assessed by having a greater number of treat-and-release emergency department visits compared to ambulatory encounters, was associated with lower receipt of recommended treatment.
These nationwide data suggest low overall quality of care and potential delays in care for Medicaid enrollees with incident lupus nephritis. Significant regional differences also suggest room for quality improvement.
Lupus nephritis occurs in a substantial proportion of individuals with systemic lupus erythematosus (SLE), ranging from 25–75% in published studies ([1-5]). Up to one-fifth of patients progress to end-stage renal disease (ESRD), and poor outcomes occur most frequently among racial/ethnic minorities and those with low socioeconomic status ([6-9]). Although these health disparities are well documented, their underlying mechanisms remain unclear. Differences in underlying disease severity, treatment resistance, or failure to receive timely or appropriate therapy may play a role. However, this latter aspect, which relates to the quality of care for lupus nephritis, has not been adequately studied.
Tools to measure health care quality in SLE are now available to address these gaps in our understanding of lupus care. The SLE Quality Indicators Project (QIP) used a combination of scientific evidence reviews and expert consensus methodology to arrive at concepts representing high-quality care for SLE (). Indicators related to lupus nephritis included use of appropriate immunosuppressive therapy within 1 month of lupus nephritis diagnosis and use of renal-protective antihypertensive medications. Recent American College of Rheumatology (ACR) and European League Against Rheumatism (EULAR) guidelines for lupus nephritis recommend use of antimalarial medications in all patients with lupus nephritis ([11, 12]). While no previous studies have directly applied these process measures, indirect evidence suggests uneven quality of care for lupus nephritis in the US. For example, ESRD due to lupus nephritis is increased in areas with higher rates of hospitalizations for ambulatory care–sensitive conditions, a marker of poor access to ambulatory care (). In addition, studies have demonstrated that individuals with public insurance or no medical insurance develop ESRD at younger ages, a finding that suggests that limited access to care may shorten the time to ESRD ().
Until recently, nationwide data were not available to more directly assess health care quality for lupus nephritis. In this study we apply quality measures to a national sample of Medicaid enrollees with incident lupus nephritis. By applying explicit process measures, we sought to investigate quality of care for lupus nephritis in this population and to understand factors associated with higher quality.
We studied a national cohort of individuals with incident nephritis enrolled in the Medicaid program. Medicaid is the US health insurance program for individuals with low income and resources (low-income children, pregnant women, mothers, and people with disabilities) and provides coverage for medical expenses and prescription drugs. Medicaid is jointly funded by the state and federal governments, but is managed by the states.
We used Medicaid Analytic eXtract (MAX) administrative data from the period 2000–2006. MAX files contain patient-level billing claims, pharmacy utilization, and demographic information for Medicaid enrollees in 47 states and the District of Columbia (Arizona, Tennessee, and Maine did not have data available). MAX data were linked to US Census data from the year 2000 to assess the area-level socioeconomic status of the enrollees' geographic locations.
We included all adults ages 18–65 years who met our case definition of incident lupus nephritis, which is based largely on a published algorithm validated for use in administrative data (). The algorithm combines International Classification of Diseases, Ninth Revision (ICD-9) codes and encounter codes to identify lupus nephritis with a moderate to high positive predictive value (80%; 95% confidence interval [95% CI] 75–85%). Our algorithm, which built on this definition, requires the following to define the incident disease cohort: 1) ≥3 ICD-9 codes for SLE (710.0) from hospital discharge diagnoses or physician visit claims, each at least 60 days apart; 2) lupus nephritis as defined by ≥2 ICD-9 hospital discharge diagnoses or physician billing claims for nephritis (ICD-9 codes 580–588), or proteinuria (ICD-9 code 791.0), on or after the SLE diagnosis, and at least 30 days apart; and 3) a minimum of 24 months of Medicaid enrollment without claims for the above codes for nephritis, proteinuria, or renal failure and without ambulatory claims for hemodialysis, peritoneal dialysis, or renal transplantation. Individuals were therefore eligible for inclusion in the denominator once they had 24 months of Medicaid enrollment with no lupus nephritis–related claims.
We excluded individuals with ICD-9 codes indicating pregnancy during the measurement period (V22, 630–679, or 761.5; n = 367), as well as the human immunodeficiency virus or acquired immunodeficiency syndrome (ICD-9 042, V08, 795.71; n = 33). These exclusions are consistent with the National Committee for Quality Assurance denominator exclusion for the use of immunosuppressive therapies in rheumatoid arthritis ().
We applied 3 quality measures for incident lupus nephritis to the denominator population with incident lupus nephritis. We examined performance on each measure at 3 time points: 30, 90, and 365 days after each patient met the case definition of incident lupus nephritis to assess whether performance improved with time. These time points were chosen for 2 reasons. First, the SLE QIP expert panels recommended institution of therapy for lupus nephritis within 30 days of diagnosis, and we therefore used the 30-day time period to be consistent with these recommendations (). However, previous analogous measures using administrative data to evaluate quality in rheumatic diseases (i.e., disease-modifying antirheumatic drug use in rheumatoid arthritis) have used a 1-year period (). Our time points were chosen to reflect this range. Second, by choosing different time points, we hoped to evaluate whether there were delays in care for patients with incident disease.
Dispensation of at least 1 prescription for each drug was required in the preceding time period to pass each measure.
Measure 1 is the percentage of patients administered or dispensed an immunosuppressive agent (mycophenolate mofetil, mycophenolic acid, oral or intravenous cyclophosphamide, azathioprine, cyclosporine, or tacrolimus). This measure was adapted from the SLE QIP (). Rituximab was not included because we found no patients in our denominator population that had received the drug.
Measure 2 is the percentage of patients dispensed an angiotensin-converting enzyme (ACE) inhibitor or angiotensin receptor blocker (ARB). This measure was also adapted from the SLE QIP ().
Measure 3 is the percentage of patients dispensed an antimalarial drug (hydroxychloroquine or chloroquine). This measure is based on ACR and EULAR guidelines for the treatment of lupus nephritis ([11, 12]).
We extracted demographic data for all Medicaid enrollees including age, sex, and race/ethnicity (white, African American, Hispanic or Latino, Asian, Native American, and other). We determined location of residence by zip code and US Census region (Northeast, Midwest, South, or West). From the 2000 US Census (), we identified 7 socioeconomic indicators at the zip code level: median household income, proportion with income below 200% of the federal poverty level, median home value, median monthly rent, mean education level, proportion of people age >25 years who were college graduates, and proportion of employed persons with a professional occupation (). These were combined using a previously developed method into socioeconomic status quartiles ().
In addition, to understand whether patients had adequate access to appropriate ambulatory care, we analyzed both acute care and ambulatory utilization claims. If ≥50% of these encounters were treat-and-release emergency department (ED) visits after the diagnosis of incident lupus nephritis and before the end of our study period in 2006, then the patient's most common source of care was classified as the ED rather than the ambulatory setting.
For all Medicaid enrollees with incident lupus nephritis during the study period, we calculated performance on each of the 3 quality measures, defined as the percentage of eligible enrollees who received the specified service. For each measure, multivariable logistic regression models were used to examine the factors associated with receipt of care. Models were adjusted for age, sex, race/ethnicity, geographic location, socioeconomic status quartiles, and most common source of care.
We calculated the adjusted group percentages and 95% CIs from the predicted marginals derived from our model. We tested for interactions among variables of interest, including between geographic region and whether the most common source of care was the ED.
We performed several sensitivity analyses to test the robustness of our findings. Due to non-itemized hospital billing, the inpatient administration of medications, including intravenous cyclophosphamide, was not captured in our data. Therefore, we calculated performance after excluding patients with a hospitalization with discharge diagnoses that included any code for renal disease in the period preceding the 3 time points examined. Additionally, we determined whether individuals not receiving immunosuppressive therapy consistent with quality measure 1 (immunosuppressive treatment) instead received therapy with glucocorticoids alone. This is important since patients receiving glucocorticoid monotherapy are likely receiving therapy for active disease, but with a regimen not recommended by the ACR and EULAR guidelines, which instead recommend treatment that includes immunosuppressive medications ([11, 12, 19]). We included all oral and intravenous formulations of glucocorticoids (including prednisone, methylprednisolone, dexamethasone, hydrocortisone, prednisolone, and cortisone) and calculated the cumulative dose for those receiving any of these medications in the 30 days preceding each of the 3 time points (30, 90, and 365 days).
Finally, we explored the robustness of our findings to our definition of incident lupus nephritis. We altered our look-back period of 24 months with no claims for lupus nephritis to 12 months. In addition, we evaluated whether limiting the analysis to only those individuals with codes for acute renal disease, including glomerulonephritis, acute renal failure, and proteinuria (represented by the subset of ICD-9 codes, including 580, 580.9, 581, 581.9, 582, 582.9, 583, 584, 584.5, 791, and 586), in the validated lupus nephritis algorithm would influence our findings.
All analyses were conducted in SAS, version 9.2. Data were obtained from the Center for Medicare and Medicaid Services through an approved data use agreement and are presented in accordance with their policies. The Institutional Review Board of Partners Healthcare waived human subjects' approval for this study.
From 2000–2006, we found that 1,711 Medicaid beneficiaries in the US met our definition of incident lupus nephritis. Many (75%) of these individuals were younger than age 50 years, were women (92%), were African American (49%) or from other racial/ethnic minorities (25%), and resided in the US South (36%). The ED was the most common source of care for 13% of patients (Table 1).
|Age at first encounter, years|
|African American||831 (48.6)|
|Native American||21 (1.2)|
|Quartile 1, lowest||90 (5.3)|
|Quartile 2||152 (8.9)|
|Quartile 3||312 (18.2)|
|Quartile 4, highest||1,149 (67.2)|
|Most common source of care|
|Emergency departmenta||221 (12.9)|
|Ambulatory setting||1,490 (87.1)|
Performance on quality measures was low at 30 days, but rose by 90 days, and again by 365 days (Table 2), with one-third of patients receiving immunosuppressive therapy by 1 year. More than half received therapy with ACE inhibition or ARBs, while 46% received therapy with antimalarials by 1 year.
|Quality measurea||Pass rate|
|Day 30 (n = 1,734)||Day 90 (n = 1,723)||Day 365 (n = 1,710)|
|Percentage of patients receiving an immunosuppressant (mycophenolate mofetil, oral or intravenous cyclophosphamide, azathioprine, cyclosporine, tacrolimus)b||13.0||21.9||33.7|
|Percentage of patients receiving an ACE inhibitor or ARB||29.2||44.0||56.4|
|Percentage of patients receiving antimalarial therapy (hydroxychloroquine, chloroquine)||24.7||36.4||45.8|
Unadjusted analyses in which the outcome was performance on quality measures at 1 year yielded similar findings to the multivariable adjusted analysis, and we therefore present adjusted analyses in Table 3. We found that while younger patients were more likely to receive immunosuppressive and antimalarial drugs (odds ratio [OR] 5.8, 95% CI 4.2–7.9 for patients ages 18–34 years compared to those ages 51–64 years), they were less likely to receive ACE inhibitors or ARBs (OR 0.8, 95% CI 0.6–1.0 for those ages 35–50 years compared to those ages 51–64 years). African Americans, Hispanics, and Asians were more likely to receive immunosuppressive therapy compared to whites. African Americans and Hispanics were more likely to receive ACE inhibitors or ARBs than whites (OR 1.8, 95% CI 1.4–2.3 and OR 1.8, 95% CI 1.3–2.5, respectively). There were no consistent significant effects of either sex or socioeconomic status.
|Quality measure 1: immunosuppressant, OR (95% CI)||Quality measure 2: ACE/ARB, OR (95% CI)||Quality measure 3: hydroxychloroquine, OR (95% CI)|
|Age at first encounter, years|
|18–34||5.8 (4.2–7.9)||0.9 (0.7–1.1)||2.3 (1.7–2.9)|
|35–50||2.2 (1.6–3.0)||0.8 (0.6–1.0)||1.4 (1.1–1.8)|
|Men||1.0 (0.7–1.5)||1.0 (0.7–1.4)||0.9 (0.6–1.3)|
|African American||1.4 (1.1–1.9)||1.8 (1.4–2.3)||1.4 (1.1–1.8)|
|Hispanic||1.6 (1.1–2.3)||1.8 (1.3–2.5)||1.4 (1.0–2.0)|
|Asian||2.2 (1.3–3.6)||1.6 (1.0–2.6)||0.9 (0.6–1.5)|
|Native American||1.0 (0.3–3.0)||1.2 (0.5–3.0)||0.5 (0.2–1.5)|
|Other||1.5 (0.9–2.8)||1.5 (0.9–2.6)||1.4 (0.8–2.5)|
|Quartile 1, lowest||1.4 (0.8–2.3)||1.1 (0.7–1.8)||1.1 (0.7–1.9)|
|Quartile 2||0.8 (0.5–1.3)||0.8 (0.6–1.2)||0.9 (0.6–1.4)|
|Quartile 3||0.9 (0.6–1.2)||0.7 (0.5–0.9)||1.3 (1.0–1.7)|
|Quartile 4, highest|
|Midwest||0.5 (0.3–0.7)||0.5 (0.3–0.7)||0.4 (0.3–0.6)|
|South||0.6 (0.4–0.8)||1.0 (0.8–1.4)||0.8 (0.6–1.1)|
|West||0.7 (0.5–1.0)||0.7 (0.5–0.9)||0.9 (0.6–1.2)|
|Most common source of care|
|Emergency departmenta||0.5 (0.3–0.7)||0.8 (0.6–1.0)||0.5 (0.3–0.6)|
We found significant geographic variation in care, with those living in the US South being less likely to receive immunosuppressive therapy (OR 0.6, 95% CI 0.4–0.8) compared to those living in the Northeast. Individuals living in the Midwest were less likely to receive all 3 of the quality measures examined (OR 0.5 [95% CI 0.3–0.7] for immunosuppressive therapy, OR 0.5 [95% CI 0.3–0.7] for ACE/ARBs, and OR 0.4 [95% CI 0.3–0.6] for antimalarials) compared to the Northeast. Those in the West were less likely to receive ACE/ARBs (OR 0.7 [95% CI 0.5–0.9]) compared to the Northeast.
Using the ED as the most common source of care was associated with lower receipt of recommended treatment (OR 0.5 [95% CI 0.3–0.7] for immunosuppressive therapy, OR 0.8 [95% CI 0.6–1.0] for ACE/ARB use, and OR 0.5 [95% CI 0.3–0.6] for antimalarial use).
We did not find a statistically significant interaction between geographic region and using the ED as the most common source of care. In Figure 1, we depict the adjusted percentage of patients receiving immunosuppressive therapy by 365 days, by geographic region and whether the ED was the most common source of care.
In sensitivity analyses, excluding individuals with hospitalizations preceding the time points examined did not impact our results for quality measure 1; performance remained low (13.6% at 30 days for n = 1,159; 20.7% at 90 days for n = 1,086; and 30.8% at 365 days for n = 947). When examining the robustness of our findings to our definition of incident lupus nephritis, altering the look-back period from 24 months to 12 months of no claims for lupus nephritis did not change our results. For example, at 365 days we found virtually identical pass rates among the 2,723 patients in the revised denominator (34.4% for immunosuppressive use, 56% for ACE/ARB use, and 46% for antimalarial use). Similarly, excluding individuals with chronic renal disease ICD-9 codes but no acute glomerulonephritis codes (n = 54) did not change our findings.
Finally, we found that among individuals with incident lupus nephritis who did not receive immunosuppressive therapy, more than one-third received glucocorticoids at relatively high cumulative 30-day doses (Table 4). Table 4 also illustrates that the median and interquartile range cumulative glucocorticoid dose over the preceding 30 days was slightly higher in the group of patients receiving immunosuppressive therapy at all 3 time points compared to the group receiving glucocorticoid monotherapy.
|Cumulative median (interquartile range) dose (mg) in previous 30-day period|
|Day 30||Day 90||Day 365|
|Glucocorticoid monotherapy usersa||330 (135–859)||350 (150–780)||280 (140–550)|
|No. in sample||548||561||302|
|Immunosuppressant therapy usersb||400 (145–1,040)||410 (207–866)||300 (155–560)|
|No. in sample||151||263||269|
In this population-based study of Medicaid enrollees with incident lupus nephritis between 2000–2006, we found low performance on 3 measures of health care quality. Our data suggest delays in care for a significant proportion of patients, since performance on quality measures was low at 30 days but rose substantially by 1 year. Moreover, we found geographic variation in care, with the Northeast outperforming other regions on the measures examined. Our data also suggest that almost 1 of 8 individuals with incident lupus nephritis used the ED as the most common source of care, and quality of care was lower for this group of patients.
This is the first study to apply explicit process measures to understand quality of care in a national sample of patients with SLE. The study examined a racially/ethnically diverse group of low-income individuals, a population that experiences a high incidence of lupus nephritis and is more likely to develop ESRD ([2, 20]). We found that younger individuals and African American and Hispanic patients were more likely to receive care consistent with the quality measures, which is reassuring given that these groups have more severe forms of lupus nephritis ([6, 21, 22]). Similarly, use of antihypertensive agents was higher among African American and older patients compared to younger patients, likely reflecting the higher prevalence of hypertension in these groups ([22, 23]). However, it is important to note that the quality measures examined in this study apply to all patients with lupus nephritis. Therefore, our results suggest that younger individuals may be undertreated with antiproteinuric drugs, and older individuals may be undertreated with immunosuppressant drugs.
We did not find significant variation in care according to the patients' area-level socioeconomic status, implying that area-level socioeconomic status has no independent effect on receipt of quality measures above personal poverty, a requirement for Medicaid eligibility. Previous studies have documented disparities in health outcomes for low-income populations with lupus nephritis ([2, 13, 24]), but the mechanisms of these disparities remain unclear. By demonstrating delays in appropriate therapy as well as substantial variation in care, our data suggest that poor quality of care may be one important mechanism for these disparities and warrants further investigation and attention.
We found that a substantial proportion of Medicaid recipients with SLE had a greater number of treat-and-release emergency room visits than ambulatory visits, suggesting inadequate access to outpatient care or poor care transitions between health care settings. This finding is consistent with previous studies reporting that Medicaid beneficiaries with SLE may face problems with health care access. For example, Medicaid beneficiaries travel significantly longer distances to see a physician for SLE, suggesting geographic barriers to care (). Similarly, the incidence of ESRD due to SLE is higher in areas with higher proportions of residents who have public insurance and higher rates of avoidable hospitalizations, suggesting that limited access to care may contribute to poor renal outcomes in SLE (). Among patients with lupus nephritis who develop ESRD, those with private medical insurance are also older when they begin ESRD treatment than those with Medicaid or no insurance. The fact that progression to ESRD varies with medical insurance status may also signal differences in quality or access to care (). Taken together, these data suggest that greater attention to coordinating care and increasing access to appropriate ambulatory specialty care for individuals with this complex disease is needed.
The quality measures examined in our study are supported by professional consensus as well as clinical evidence. Over the last several decades, landmark clinical trials and subsequent meta-analyses in lupus nephritis have demonstrated that induction therapy with immunosuppressive medications improves patient outcomes, including reducing renal damage and increasing renal survival (). Moreover, antimalarial drugs are recommended as background therapy in all patients with lupus nephritis. This is based on a randomized controlled trial showing that flare rates are lower for patients continuing hydroxychloroquine compared to those who switched to placebo, as well as accumulating observational studies showing lower damage accrual, lower mortality, and reduced risk of thrombosis ([27-31]). Finally, treatment with either ACE inhibitors or ARBs is recommended in all patients with significant proteinuria (). This recommendation is based on the fact that these drugs reduce proteinuria by approximately one-third and delay doubling of serum creatinine and progression to ESRD in patients with nondiabetic chronic renal disease (). Therefore, the quality measures in this study represent processes of care that current scientific evidence suggests can significantly influence clinical outcomes, including preventing or delaying ESRD. Unwarranted variations in performance and delays in care therefore signal room for quality improvement.
Although no previous studies have specifically applied quality measures to a population with incident lupus nephritis, our data on rates of hydroxychloroquine and antiproteinuric therapy use among Medicaid enrollees are similar to previously reported rates in clinical cohorts. For example, in a longitudinal cohort study of 881 individuals with clinically confirmed cases of SLE, the prevalence of hydroxychloroquine use was 55 per 100 person-years and remained constant throughout the multiyear observation period (). Similarly, in the Lupus in Minorities, Nature versus Nurture (LUMINA) cohort, 56% of patients were treated with antimalarial drugs at the time of study enrollment (). We found that 46% of Medicaid enrollees with lupus nephritis were dispensed a prescription for antimalarials after 1 year of observation, a result that is slightly lower than that for patients enrolled in clinical studies who largely have access to rheumatology subspecialty care. In addition, one previous study found that 49% of individuals with prevalent lupus nephritis received antiproteinuric therapy, a result that is very similar to the performance on the quality measure in this study (). Taken together, these studies suggest that there is underutilization of antimalarial and antiproteinuric therapy in SLE.
Although administrative data provide an otherwise unattainable picture of health care quality at the population level, it is important to recognize their limitations and to interpret our data with these in mind. First, although our study strongly suggests that care is uneven for lupus nephritis across the US and that delays in care are common in the Medicaid population, the estimates of performance on the quality measures examined are likely imprecise. Clinically detailed information, including factors such as disease activity, the etiology of renal disease (or class of lupus nephritis), or other factors, such as drug contraindications, cannot be obtained from these data. It is therefore likely that some individuals in our denominator population did not have lupus nephritis, or had mild forms of disease (e.g., mesangial disease or class V nephritis with low proteinuria) that did not require therapy. To partly address this issue, we examined glucocorticoid exposure among individuals who did not receive immunosuppressive medications for their disease. The fact that many individuals received substantial doses of glucocorticoid monotherapy during the study period suggests that this group likely had active SLE.
Additionally, while our algorithms did capture intravenous cyclophosphamide given in infusion units, the MAX data set does not capture inpatient medications and therefore receipt of medications dispensed to patients while they were hospitalized may have been missed. It is possible that inpatient administration of cyclophosphamide may have been relatively frequent among patients with low socioeconomic status during the study period, and quality of care for the measure examining immunosuppressant use is likely therefore an underestimate. However, excluding patients with hospitalizations preceding the 3 time points examined did not improve performance, suggesting that failure to capture inpatient administration of cyclophosphamide does not entirely explain low performance. An additional limitation is that the data used in our study predated both the SLE QIP and the ACR lupus nephritis guidelines ([10, 11]), both of which served to consolidate and disseminate information from clinical trials in the preceding decades. It is also important to note that landmark clinical trials supporting the use of current induction regimens were also occurring during the study interval and later likely served to change clinical practice. Although it is possible that care has improved over time, our initial findings suggest that more contemporary, clinically rich data streams are urgently needed to assess and improve care for this population of patients.
Moving forward, administrative data can continue to serve as one source of information for studies of quality in SLE, particularly as newer coding schemes (ICD-10) potentially add specificity to diagnoses, and as linkage between laboratory, pharmacy, and billing data is more readily available. However, as noted above, administrative data will continue to have significant limitations, and attention should therefore also be focused on developing related, but newly specified, quality measures for quality improvement. Developing measures for large-scale application to clinically rich data streams, such as electronic health records, will likely help physicians, regional specialists, health systems, and also potentially geographic regions, better organize care for patients with SLE.
In conclusion, our study suggests important gaps in quality of care for Medicaid enrollees with lupus nephritis from 2000–2006. Many patients experienced substantial delays in care, and almost 1 in 8 patients used the ED as the most common source of care, implying inadequate access to ambulatory care. We also found geographic variation in quality, with those in the Northeast receiving consistently higher quality of care. Although these administrative data provide an otherwise unattainable population-based view of variations in care for SLE, there is a need moving forward to build on these findings to develop and apply measures to clinically rich data streams as they become available. Collecting and reporting such measures can serve as an important tool for monitoring and aiming to improve care for SLE and for attempting to reduce the striking disparities in the condition. The severity of SLE and its contribution to system-wide resource utilization justifies further research in this area.
All authors were involved in drafting the article or revising it critically for important intellectual content, and all authors approved the final version to be submitted for publication. Dr. Yazdany had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.
Study conception and design. Yazdany, Liu, Costenbader.
Acquisition of data. Yazdany, Liu, Fischer, Costenbader.
Analysis and interpretation of data. Yazdany, Feldman, Liu, Ward, Fischer, Costenbader.