QI Initiative Reduced Institution’s JIA Racial Disparities

WASHINGTON — A quality improvement project aimed at reducing racial disparities in juvenile idiopathic arthritis (JIA) led to a modest reduction in the overall clinical Juvenile Arthritis Disease Activity Score (cJADAS) and a 17% reduction in the disparity gap between Black and White patients, according to a study presented at the American College of Rheumatology (ACR) 2024 Annual Meeting.

“Our work has led to initial progress in all groups, but we did not fully close the gap in outcomes,” Dori Abel, MD, MSHP, an attending rheumatologist at Children’s Hospital of Philadelphia, Philadelphia, told attendees. But the project still revealed that it’s feasible to improve outcomes and reduce disparities with a “multipronged, equity-driven approach,” she said. “Stratifying data by demographic variables can reveal important differences in health care delivery and outcomes, catalyzing improvement efforts,” she added.

Giya Harry, MD, MPH, MSc, an associate professor of pediatric rheumatology at Wake Forest University School of Medicine in Winston-Salem, North Carolina, was not involved in the study but praised both the effort and the progress made.

“The results are promising and suggest that with additional interventions targeting other key drivers, the team may be successful in completely eliminating the disparity in outcomes,” Harry told Medscape Medical News. “I applaud the hard work of Dr Abel and the other members of the team for doing the important work of characterizing the very complex issue of disparities in JIA outcomes across different race groups.” 

It will now be important to build upon what the physicians learned during this process, said Harry, also the chair of the Diversity, Equity, Inclusion, and Accessibility committee of the Childhood Arthritis and Rheumatology Research Alliance.

“Patience is needed as they cycle through interventions with an emphasis on other key drivers” of disparities, Harry said.

Targeting Factors That Clinicians Can Potentially Influence

In her presentation, Abel discussed the various barriers that interfere with patients’ ability to move up the “JIA escalator” of getting referred and diagnosed, starting treatment and getting control of the disease, and monitoring and managing the disease and flares. These barriers include difficulties with access, trust, finances, insurance, caregivers’ missed work, medication burden, side effects, system barriers, and exhaustion and depression among caregivers and patients.

These barriers then contribute to disparities in JIA outcomes. In the STOP-JIA study, for example, Black children had greater polyarthritis disease activity in the first year and greater odds of radiographic damage, Abel noted. At her own institution, despite a mean cJADAS of 2.9 for the whole population of patients with JIA, the average was 5.0 for non-Hispanic Black patients compared with 2.6 for non-Hispanic White patients.

The team therefore developed and implemented a quality improvement initiative aimed at improving the overall mean cJADAS and narrowing the gap between Black and White patients. The goal was to reduce the mean cJADAS to 2.7 by July 2024 and simultaneously reduce the cJADAS in Black patients by 1.2 units, or 50% of the baseline disparity gap, without increasing the existing gap.

The team first explored the many overlapping and interacting drivers of disparities within the realms of community characteristics, JIA treatment course, patient/family characteristics, organizational infrastructure, divisional infrastructure, and provider characteristics. While many of the individual factors driving disparities are outside clinicians’ control, “there are some domains clinicians may be able to directly influence, such as provider characteristics, JIA treatment course, and possibly divisional infrastructure,” Harry noted, and the team appeared to choose goals that fell under domains within clinicians’ potential influence.

The research team focused their efforts on four areas: Consistent outcome documentation, application of JIA best practices, providing access to at-risk patients, and team awareness and agency.

As part of improving consistent outcome documentation, they integrated outcome metrics into data visualization tools so that gaps were more evident. Applying JIA best practices included standardizing their approach to assessing medication adherence and barriers, with changes to the JIA note templates in the electronic health record and updates to medication adherence handouts.

Providing access to at-risk patients included several components:

• Creating a population management team
• Defining a target population to engage with for earlier follow-up
• Using a monthly batch outreach to defined patients
• Having a coordinator or social worker reach out to those who don’t make appointments
• Using a new JIA/high disease activity video follow-up program.

Finally, team awareness and agency involved giving physicians monthly access to mean cJADAS values for their own patients and at the division level. They also held quarterly disparity mitigation workshops.

Although the institution’s JIA population grew 13%, from 776 to 878 patients, over the course of the study, from January 2023 to May 2024, there was minimal change in the characteristics of the patient population. By May 2024, two thirds of patients (68%) were women, and 23% had public insurance. The population included 67% non-Hispanic White, 9% Hispanic/Latino, 7% non-Hispanic Black, and 4% Asian patients.

One third of the patients (32%) had the oligoarticular subtype, and other subtypes included enthesitis-related at 16%, polyarticular rheumatoid factor (RF)–negative at 15%, systemic at 7%, psoriatic at 6%, undifferentiated at 5%, and polyarticular RF-positive at 4%; data on subtype were unavailable for 14%. Most of their patients (71%) were in a high or very high quintile of the Childhood Opportunity Index, and 12% were in a low or very low quintile.

Results of the Quality Improvement Project

As of May 2024, the team had reached most of the goals they had set in terms of individual metrics. They met their goal of having a complete cJADAS calculated in more than 80% of JIA visits each month. With a goal of having over 90% of JIA monthly visits include disease activity target attestations, they reached 95% by May.

They aimed to have over half of JIA monthly visits include documentation of medication adherence/barrier assessment, and 75% of monthly visits had one. For their monthly outreach goal for overdue visits, they aimed to contact more than 75% of patients within 30 days if they were newly overdue for a follow-up visit but had only reached 47% by May 2024. The team had also completed 154 Maintenance of Certification assessments by May.

From initiation of project planning in January 2023 through May 2024, the overall JIA patient population experienced an improvement in cJADAS from 2.9 to 2.54. In individual cJADAS components, the mean patient global score improved from 1.71 to 1.47, the physician global score improved from 0.81 to 0.75, and the joint count score improved from 0.71 to 0.68.

In the non-Hispanic Black population, the mean cJADAS improved from 5.06 in January 2023 to 4.31 in May 2024. Mean cJADAS in the non-Hispanic White population fell from 2.63 to 2.29. With a difference of 0.4 points fewer between the Black and White populations, the disparity gap closed by 17%.

One of the team’s next steps will be to focus on the Hispanic population in 2024-2025 by optimizing language services, working toward greater family involvement to better understand barriers to care, and ongoing population management.

Abel and Harry had no disclosures. No external funding was noted.

Tara Haelle is a Dallas-based science/health journalist.