macra, mips, and updates on mssic reporting options · macra, mips, and qcdr updates on mssic...
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MACRA, MIPS, AND QCDRUPDATES ON MSSIC REPORTING OPTIONS
David R. Nerenz, Ph.D.
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Time Line
• November 2016 – Agree to pursue QCDR status for MSSIC registry (done)
• January 2017 – apply for QCDR status (done)
• May 2017 – CMS approval (done)
• June 2017 – CMS approval of measures (done)
• Rest of 2017 – work with ArborMetrix on specifications for data submission
• Rest of 2017 – work with groups planning to use MSSIC as QCDR on measure selections
• First quarter of 2018 – report data for 2017
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Approved* Measures for MIPS Reporting from MSSIC
• Pre-surgical screening for depression• Assessment of back or neck pain• Assessment of leg or arm pain• Assessment of pain-related disability
(ODI/NDI)• Follow-up (90 day) assessment of
myelopathy (cervical only)• Percent same-day ambulation• Rate of VTE Prophylaxis• Rate of use of Pre-op skin
preparation/wash
• Percent of patients achieving MCID for back or neck pain
• Percent of patients achieving MCID for leg or arm pain
• Percent of patients achieving MCID for pain-related disability (ODI/NDI)
• Percent Satisfied with Result• Risk-adjusted rate of hospital readmission• Risk-adjusted rate of surgical site infection• Risk-adjusted rate of urinary retention• Unplanned Return to OR Rate
*A few measures are provisionally or conditionally approved, with use for 2018 conditional onCMS review and approval of data submitted for 2017.
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Other Details
• Can report stratified data (e.g., only for lumbar fusions, or only for cervical decompressions)
• Will report risk-adjusted data (need to develop and discuss models for variables for which models do not exist)
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Next Steps
• Now through mid-September – Obtain indications of interest from surgeons and surgeon groups (not binding)
• Fall of 2017 - Work with ArborMetrix to do test submissions to CMS and work with surgeons and groups to check accuracy of data and to choose measures for submission
• Fall of 2017 - Work with interested surgeons to assure that minimum standards for data completeness are met (CMS 50% rule)