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Data Standardization: Looking Forward in Post-Acute Care Stella Mandl, RN Technical Advisor Ellen M Berry, PT Technical Director Centers for Medicare &

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Presentation on theme: "Data Standardization: Looking Forward in Post-Acute Care Stella Mandl, RN Technical Advisor Ellen M Berry, PT Technical Director Centers for Medicare &"— Presentation transcript:

1 Data Standardization: Looking Forward in Post-Acute Care Stella Mandl, RN Technical Advisor Ellen M Berry, PT Technical Director Centers for Medicare & Medicaid Services Barbara Gage, PhD MPA Fellow, Managing Director The Brookings Institution

2 Minimum Data Set (MDS) Inpatient Rehabilitation Facility Patient Assessment Instrument (IRF PAI) Outcome and Assessment Information Set (OASIS) Long-term Care Hospital Continuity Assessment Record and Evaluation Data Set (LTCH CARE Data Set) Hospice Item Set (HIS) Standardized Assessment Data Collection Vehicles 2

3 2000: Benefits Improvement & Protection Act (BIPA) – mandated standardized assessment items across the Medicare program, to supersede current items 2005: Deficit Reduction Act (DRA) – Mandated the use of standardized assessments across acute and post-acute settings – Established Post-Acute Care Payment Reform Demonstration (PAC- PRD) which included a component testing the reliability of the standardized items when used in each Medicare setting 2006: Post-Acute Care Payment Reform Demonstration requirement: – Data to meet federal HIT interoperability standards CARE: Background 3

4 Assessment Data is: Standardized Reusable Informative Communicates in the same information across settings Ensures data transferability forward and backward allowing for interoperability Standardization: Reduces provider burden Increases reliability and validity Offers meaningful application to providers Facilitates patient centered care, care coordination, improved outcomes, and efficiency Fosters seamless care transitions Evaluates outcomes for patients that traverse settings Allows for measures to follow the patient Assesses quality across settings, and Inform payment modeling CARE: Concepts Guiding Principles and Goals: 4

5 Assessment Instrument/Data Sets: use of uniform and standardized items Measures harmonized at the Data Element level Providers/vendors have public access to standards Data Elements are easily available with national standards to support PAC health information technology (IT) and care communication Transfer of Care Documents are able to incorporate uniform Data Elements used in PAC settings, if desired Measures can follow the person Building the Future State 5

6 Facilities are able to transmit electronic and interoperable Documents and Data Elements Provides convergence in language/terminology Data Elements used are clinically relevant Care is coordinated using meaningful information that is spoken and understood by all Measures can evaluate quality across settings and evaluate intermittent and long term outcomes Measures follow the person Incorporates needs beyond healthcare system Keeping in Mind, the Ideal State 6

7 QIES ASSESSMENT DATA 7

8 QIES Chart QIES 8 Assessment Infrastructure User Tools DMS QIES To Success jRAVEN jHAVEN jIRVEN MDS OASIS LTCH CARE Assessment DB National Reporting StandardAd Hoc CASPER QIES Work Bench QIES National DB A/B/HHH MAC Extract ASAP IRF- PAI LASER CDC HART HIS

9 9 Assessment Data Assessment Software Development Assessment and Payment Initiatives Quality Initiatives

10 10 Assessment Software Development Nursing Homes – MDS 3.0 – Skilled nursing facilities (SNFs) – Nursing facilities (NFs) – Swing beds (SBs) – non-CAHs Home Health Agencies (HHAs) – OASIS-C Inpatient Rehabilitation Facilities (IRFs) – IRF-PAI Long Term Care Facilities (LTCHs) – LTCH CARE Data Set Hospice Providers

11 11 Assessment Software Development Item Sets (MDS, SB) Data specifications (all) Error messages and reports (all) Validation Utility Tool (all) Payment groupers (MDS, OASIS, IRF-PAI) Care planning, e.g., Care Assessment Areas (CAAs) Public frequency reports (MDS) QRP (LTCH, IRF, Hospice, HH)

12 12 Assessment Software Development - General User Guide Manuals Vendor calls Help Desk Tech boxes

13 13 Assessment & Payment Initiatives MDS – Section S – States – Additional items – States – Money Follows the Person – Survey & Certification – RUG-IV – Center for Medicare – RUG-III – States – A/B MAC extract

14 14 Assessment & Payment Initiatives OASIS – Survey & Certification – HHRG – RHHI extract IRF – Rehab eligibility – CMG – IRF viewer – Claims validation

15 15 Quality Initiatives Survey & Certification Nursing Home Compare 5-Star Program Home Health Compare HHA Pay for Reporting HH Consumer Assessment of Healthcare Providers and Systems (CAHPS)

16 16 Quality Initiatives Quality Reporting Program – ACA 3004 – Data submitted to CMS LTCH IRF Hospice – Data submitted to CDC LTCH IRF

17 QIES Chart QIES 17 Assessment Infrastructure User Tools DMS QIES To Success jRAVEN jHAVEN jIRVEN MDS OASIS LTCH CARE Assessment DB National Reporting StandardAd Hoc CASPER QIES Work Bench QIES National DB A/B/HHH MAC Extract ASAP IRF- PAI LASER CDC HART HIS

18 Data Flow Chart

19 Measures are strictly specified – Numerator – Denominator – Included / excluded populations Measures are endorsed by the National Quality Forum Publicly vetted Data specifications identifying exact assessment items are posted on web PAC Quality Measures 19

20 Measure endorsement process – Concept is important to measure – Measure has scientifically reliable properties (wording of atomic elements is such that 95 out of 100 assessors will get the same answer when coding a response) – Feasibility – the data can be collected under current practice standards – Usability and Use – the information is useful – Related and competing measures – not duplicative and aligned with related measures National Quality Forum Endorsement 20

21 Collect it once, use it multiple times – Assessment items (MDS, OASIS, IRFPAI) are factors in the PPS rates for SNF, HHA, IRFs, respectively – Exact items are used to provide comparable data across providers for rate setting and quality measurement purposes Assessment Data in Payment/Quality Models 21


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