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Auditing the Quality Data

Auditing the Quality Data. AHIA NW Regional Conference Seattle, Washington May 7, 2010. Agenda. Overview—The Why, What, How, Who, When and more Medicare’s IP Core Measures Adverse Event Reporting Physician Quality Reporting Performance Incentives Q&A. Why? (Objectives).

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Auditing the Quality Data

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  1. Auditing the Quality Data AHIA NW Regional Conference Seattle, Washington May 7, 2010

  2. Agenda • Overview—The Why, What, How, Who, When and more • Medicare’s IP Core Measures • Adverse Event Reporting • Physician Quality Reporting • Performance Incentives • Q&A

  3. Why? (Objectives) • Quality data is publically presented—transparency • Comparative reporting • Patient choice for quality (and cost) • Risk to reputation • Marketing • Tied to payment—False claims • Tied to performance incentives—accurate reporting • Reliance on electronic record or abstracted data

  4. What? (Scope) • Medicare IP Core Measures • Adverse Event Reporting • Physician quality reporting (PQRI) • Organizational incentives—focus on quality outcomes

  5. How? (Methods) • Abstracted data • Extracted reports/data from clinical and financial systems • Spreadsheets/End user computing • Workflows—how does the data get reported?

  6. Who? (Auditees/Clients) • Board/Executive Management • Management • Quality, Finance, Careline management • Public data sites

  7. When? (Audit Plan) • Prior to: • Results leaving organization • Public posting • Surprises to constituents

  8. Auditing Quality Data • IP Core Measures—Carolyn Barton, Swedish • Adverse Event Reporting—Elizabeth Masnari, Providence • PQRI and Incentive Plans—Catherine Wakefield, MultiCare • Stories • Risks • Take-aways • Sources of data for Quality information • Audit templates • Lessons Learned

  9. IP Core Measures • Carolyn Barton

  10. Medicare Inpatient Core Measures Swedish acute care • Dependent on clinical documentation • About 40% of data elements extracted from systems • 60% human judgment to populate remaining elements • About $ 3M/yr in additional Medicare payment

  11. Medicare Inpatient Core Measures Swedish acute care • 12 month rolling average data on public website • 2 hours to verbally explain the complex process • Used to use internally created algorithms • Late coding and demographic changes impact process • Lots of hand-offs between systems and people

  12. Care Measures • Four categories • Surgical Care Improvement Project (SCIP) • Heart Attack (Acute Myocardial Infarction) • Heart Failure • Pneumonia • Record population algorithm for each • Multiple data elements for each • Quarterly/monthly sample sizes based on “N”

  13. Process of Care Measures • IP discharges by quarter, may gather monthly • Based on Medicare provider number • Determine case population and calculate sample size required • Abstract data elements from medical record • Submit data elements to CMS via QIO • Receive Measure Set Category Information

  14. CMS Validation Algorithm Result • Measure Set Categories • B = Doesn’t fall into set • D = Falls into denominator only • E = Falls into numerator and denominator • E/E+D • B – Not part of the data set for this measure • E – Good news, the higher the better • D – Bad news, the lower the better; didn’t capture the quality indicator

  15. CMS Validation Process • Case Detail Report • 5 cases per provider number per quarter • Full paper chart must be submitted • Must have a 80% individual case reliability rate • There is an appeal process • Significant delay (4/2009-6/2009 available on 3/22/2010)

  16. Major Risk Areas • Clinical documentation insufficient • Timing and accuracy of coding • Abstracting errors • System extract errors for discrete data elements • Determining population and sample size accurately • Meeting submission schedule • Follow-up on quality variances identified

  17. Audit Plan • Lessons learned • See Appendix A • Template – Audit of Quality Measures • Comprehensive risk area list • Overview of data collection process • Quality measure sample (SCIP) • Measure comparison – CMS vs. TJC

  18. Auditing Adverse Event Reporting • Elizabeth Masnari

  19. Auditing Adverse Event Reporting • National Quality Forum (NQF) – “Never Event” references a particularly shocking medical error that should never occur. http://www.psnet.ahrq.gov/primer.aspx?primerID=3 • The Joint Commission requires hospitals to report “Sentinel Events” defined as an unexpected occurrence involving death or serious physiological or psychological injury or risk there of. http://www.jointcommission.org/SentinelEvents/ • NQF has identified a list of 28 “Never Events” • Categories: Surgical, product or device, patient protection, care management, environmental, and criminal. • Though rare, 71% of events reported to the Joint Commission over the past 12 years were fatal.

  20. Auditing Adverse Event Reporting • Most frequent “never events” reported to Joint Commission in 2008 (5632 total events reported as of 12/31/2008) • Wrong-site surgery (13.2%) • Patient suicide (12.4%) • Op/post op complication (11.2%) • Medication errors (8.7%) • Delay in treatment (7.8%) • Patient falls (6.1%) • Some States mandate reporting – Wash, Oregon, Calif. • In 2007, CMS announced that Medicare will not pay for treatment of many preventable errors including Never Events.

  21. Auditing Adverse Event Reporting • Providence Health & Services includes 27 hospitals located in 5 Western States (California, Oregon, Washington, Montana and Alaska). • Audits of Adverse Event Reporting are being performed in all states during 2010. • Focus is on acute care facilities.

  22. Auditing Adverse Event Reporting • Risks – • Patient Safety • Legal • Compliance • Financial • Reputation

  23. Auditing Adverse Event Reporting Audit program objectives: • Adverse events are properly identified & timely reported. • Root-cause analysis are performed & action plans are created in a timely manner. • Appropriate process changes & control measures are implemented & functioning as intended to reduce risk of future events.

  24. Auditing Adverse Event Reporting • Timely identification & reporting • Organizational policies & procedures • Staff awareness & training • “Comfort” in reporting – fear of consequences • Logging and evaluating of events • Comparison of events log against patient claims • Compliance with external reporting requirements

  25. Auditing Adverse Event Reporting • Root Cause Analysis (RCA) & Action Plans • Standard template & procedures • Competency & training of those responsible for RCA • Authority given & access provided to the RCA team • Communication of the RCA results & action plan across the organization • Monitoring implementation of the action plan

  26. Auditing Adverse Event Reporting • Process change implementation • Authority to implement process changes and controls • Timely implementation of process changes • Monitoring of compliance with new processes • Reporting on compliance • Post implementation review – did the action plan reduce the risk of reoccurrence?

  27. Physician Quality Reporting Initiative • Catherine Wakefield

  28. Physician Quality Reporting Initiative • http://www.cms.hhs.gov/PQRI • The 2010 PRQI consists of • 175 individual quality measures. • 13 Measure groups • Eligible professionals (EP) can submit data on individual quality measures or on measures groups through claims or a qualified registry. • CMS is working toward qualifying EHR products for the purpose of submitting extracted data.

  29. Criteria for Claims-based Reporting of Individual Measures • At least 3 PQRI measures, for 80% of applicable Medicare Part B Fee for Service (FFS) patients for each EP Criteria for Claims-based Reporting of Measures Groups • One measures group for 39 Medicare Part B FFS patients of each EP

  30. Incentive Payment • Group Practices that satisfactorily submit data on quality measures can qualify to earn a PQRI incentive payment of 2% of the group practice’s total estimated allowed charges. • Coming soon—No reporting Reduced payments

  31. PQRI Made Simple (per CMS) • Data collection sheets (one per patient) • Data to claim form (new codes for inclusion on claims—no charges) • Electronic data collection • Test, test, test • For all, documentation is critical—the medical record must contain the documentation to support the reported data

  32. Risks and Issues • Accuracy and integrity of collected data • Incentives to document for payment purposes • Complexity of reporting--# of measures, new codes, mapping into claims system • Cost of manual abstraction and input for billing purposes • For electronic systems, selection of measures to minimize/eliminate manual processes—risks of system build/mapping

  33. MHS Lesson • System upgrade with changes to PQRI fields • Modifier not included (8P—not assessed, reason not specified) (test, test, test!) • All claims reported tobacco use • Patient complaints (tobacco use showed on EOB) • CMS does not accept corrections • Letter to patients (risk to reputation)

  34. Quality and Performance/Incentive Comp Plans • Quality objectives must be actionable, measurable, and auditable • Each measure should include only one metric • The methodology must be clear and easy to understand or recipients might not know what to do to earn incentive • Periodic reporting on progress throughout year

  35. Data collection and management • Manual? • Spreadsheet? (audit for spreadsheet errors, design errors and hidden worksheets, rows and columns) • Electronic downloads? (accuracy of data download, subsequent manipulation) • Reporting—timely, audited

  36. Contact Information Carolyn Barton, CHC Director, Corporate Compliance, Internal Audit & Privacy Swedish Medical Center 747 Broadway Seattle, WA 98122 Office: 206-215-2605 carolyn.barton@swedish.org Catherine Wakefield, CPA, CIA, CHC, FHFMA Vice President, Corporate Compliance and Internal Audit MultiCare Health System 737 Fawcett, PO Box 5299  MS 737-2-CCIA Tacoma, WA 98415-0299 253-459-8002   Catherine.wakefield@multicare.org Elizabeth Masnari, CPA Regional Director of Audit Services - WA/MT Providence Health & Services 2001 Lind Ave. SW Renton, WA  98057 425-687-3650 elizabeth.masnari@providence.org

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