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Abstract Number: 2985

Practice-Level Variation in Quality of Care in the Acr’s Rheumatology Informatics System for Effectiveness (RISE) Registry

Jinoos Yazdany1, Nick Bansback2, Megan E. B. Clowse3, Deborah Collier4, Karen Law5, Katherine Liao6, Kaleb Michaud7, Esi Morgan8, Jim Oates9, Catalina Orozco10, Andreas Reimold11, Julia F Simard12, Rachel Myslinski13, Tracy Johansson14 and Salahuddin Kazi15, 1Medicine/Rheumatology, University of California, San Francisco, San Francisco, CA, 2School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada, 3Rheumatology, Duke University School of Medicine, Durham, NC, 4Rheumatology, Allergy, and Immunology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 5Internal Medicine, Emory University School of Medicine, Atlanta, GA, 6Rheumatology, Immunology, and Allergy, Brigham and Women's Hospital, Boston, MA, 7University of Nebraska Medical Center, Omaha, NE, 8Pediatric rheumatology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, 9Medicine/Rheumatology & Immunology, Medical University of South Carolina, Charleston, SC, 10Rheumatology Associates, Dallas, TX, 11Hospital of Southern Norway, Kristiansand, Norway, 12Division of Epidemiology, Health Research and Policy Department, and Division of Immunology & Rheumatology, Department of Medicine, Stanford School of Medicine, Stanford, CA, 13Governance & Ethics Specialist, Amer College of Rheumatology, Atlanta, GA, 14Practice, Advocacy & Quality, American College of Rheumatology, Atlanta, GA, 15Rheumatology, UT Southwestern Medical Center, Dallas, TX

Meeting: 2016 ACR/ARHP Annual Meeting

Date of first publication: September 28, 2016

Keywords: quality measures, quality of care and registry

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Session Information

Date: Tuesday, November 15, 2016

Title: Plenary Session III: Discovery 2016

Session Type: ACR Plenary Session

Session Time: 11:00AM-12:30PM

Background/Purpose:  The Medicare Access and CHIP Reauthorization Act (MACRA) of 2015 has put into place an aggressive timeline for a Merit-Based Incentive Payment System (MIPS) and for Alternative Payment Models (APMs). For rheumatologists to be successful under these payment reforms, it will be critical to understand and improve performance on quality measures. In this study, we used data from the ACR’s Rheumatology Informatics System for Effectiveness (RISE), a national electronic health record (EHR)-enabled quality improvement registry, to examine variation in performance on quality measures across practices.

Methods: RISE’s informatics platform continuously collects data from the EHRs of participating practices, allowing centralized aggregation and analysis of performance on quality measures. Rheumatologists can view their performance on measures using a web-based registry dashboard that is updated every 24 hours. We analyzed data collected between April 1, 2015 and March 31, 2016 on all patients seen by 223 clinicians across 49 practices in which EHR mapping is complete. Quality measures in the areas of rheumatoid arthritis, drug safety, osteoporosis, preventive care and gout were examined. Performance on quality measures, defined as the percentage of eligible patients receiving recommended care, was examined at the practice level.

Results:   Data from 346,358 patients was examined. Mean (SD) age was 58 (16.6) years, 75.2% were female, 25.6% were racial/ethnic minorities, and 65.8% had commercial insurance. Most rheumatologists were in a group practice (90.0%); 8.8% were in solo practice and 1.2% part of a larger health system. Performance on quality measures varied significantly across practices (Table). Twelve of 17 measures had a maximum observed performance of >99% across practices. The largest gaps in quality of care at both the practice and clinician levels were observed for osteoporosis, gout and preventive care (e.g. body mass index screening and counseling), suggesting room for improvement in these areas.  For 6 of 9 measures for which the Centers for Medicare and Medicaid Services has set national benchmarks, the average performance of RISE practices exceeded targets.

Conclusion:  We found significant variation in performance on quality measures across RISE practices, with the largest gaps seen in osteoporosis, gout care and preventive care. We also found that some practices have achieved a very high level of performance. As rheumatologists aim to improve quality of care and prepare for upcoming MACRA payment reforms, RISE will, by design, allow participants to measure, benchmark, and continuously monitor performance improvement.   Table.  Performance on selected quality measures in the RISE registry.

Quality Measure

 

 

Performance across RISE practices

Performance across RISE practices

CMS Benchmark

 

Measure

Denominator

(n)

Measure

Numerator (n)

Average

Performance

(%)

25th, 50th, 75th, 100th percentile

 

RA: Disease Activity Measurement

50,416

33,076

61.9

30.6, 70.9, 90.4, 100

 

RA: Functional Status Measurement

50,416

29,546

56.4

23.6, 65.2, 87.5, 100

 

RA: Disease Modifying Drug Use

50,236

45,804

90.3

87.5, 91.4, 94.8, 97.5

 

Drug Safety: Tuberculosis Screening Prior to First Biologic Therapy

15,933

8,905

54.6

31.7, 52.4, 79.0, 99.2

 

Drug Safety: Use of ≥ 1 High-Risk Medication in the Elderly

78,347

3,472

5.9*

6.1, 3.8, 2.4, 0*

9.0

Drug Safety: Use of ≥ 2 High-Risk Medications in the Elderly

78,347

110

0.17*

0.15, 0.05, 0, 0*

9.0

Osteoporosis: DXA measurement or treatment in women 65 years or older

62,924

39,790

64.7

48.9, 60.7, 81.5, 99.3

41.0

Osteoporosis: DXA measurement or treatment in high-risk patients

38,929

21,020

52.1

41.2, 54.9, 60.8, 85.2

 

Osteoporosis: Post-fragility fracture DXA or treatment

6,269

3,657

67.3

50.0, 66.1, 83.8, 100

41.0

Low Back Pain: Lack of imaging within 28 days of primary low back pain diagnosis

7,843

4,853

64.4

35.1, 65.1, 95.0, 100

16.0

Preventive Care: Tobacco screening and counseling

211,889

180,360

83.8

78.4, 88.8, 91.8, 99.1

90.0

Preventive Care: BMI documentation and follow-up plan (per visit)

211,112

96,608

49.1

34.3, 44.0, 64.1, 94.0

58.0

Preventive Care: Blood pressure management

24,583

14,349

58.8

48.1, 61.2, 69.2, 90.6

69.0

Medication Documentation (per visit)

586,601

578,857

97.3

98.8, 99.5, 99.8, 100

88.0

Gout: Serum Urate Monitoring

5,208

1,832

35.4

16.7, 28.6, 60.2, 84.0

 

Gout: Serum Urate Target less than 6.8 mg/dL achieved.

925

509

54.1

33.3, 53.9, 82.4, 100

 

Gout: Urate Lowering Therapy

442

228

49.9

30.0, 50.0, 71.4, 100

 

 


Disclosure: J. Yazdany, None; N. Bansback, None; M. E. B. Clowse, None; D. Collier, None; K. Law, None; K. Liao, None; K. Michaud, None; E. Morgan, None; J. Oates, None; C. Orozco, None; A. Reimold, None; J. F. Simard, None; R. Myslinski, None; T. Johansson, None; S. Kazi, None.

To cite this abstract in AMA style:

Yazdany J, Bansback N, Clowse MEB, Collier D, Law K, Liao K, Michaud K, Morgan E, Oates J, Orozco C, Reimold A, Simard JF, Myslinski R, Johansson T, Kazi S. Practice-Level Variation in Quality of Care in the Acr’s Rheumatology Informatics System for Effectiveness (RISE) Registry [abstract]. Arthritis Rheumatol. 2016; 68 (suppl 10). https://acrabstracts.org/abstract/practice-level-variation-in-quality-of-care-in-the-acrs-rheumatology-informatics-system-for-effectiveness-rise-registry/. Accessed .
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