Fresenius Health Partners ESCO Overview Glenda Wooten Senior ESCO - - PowerPoint PPT Presentation

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Fresenius Health Partners ESCO Overview Glenda Wooten Senior ESCO - - PowerPoint PPT Presentation

Fresenius Health Partners ESCO Overview Glenda Wooten Senior ESCO Program Manager May 23, 2019 For Internal Purposes Only. 2 Disclaimer The statements contained in this document are solely those of the authors and do not necessarily reflect


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For Internal Purposes Only.

May 23, 2019

Glenda Wooten Senior ESCO Program Manager

Fresenius Health Partners ESCO Overview

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For Internal Purposes Only.

The statements contained in this document are solely those of the authors and do not necessarily reflect the views or policies of CMS. The authors assume responsibility for the accuracy and completeness of the information contained in this document.

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Disclaimer

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Renal Care in a Value-Based Model

Opportunities

The Nephrologist is the principal care provider for the ESRD patient and are involved in most major care decisions The ESRD patients are in the dialysis clinic three times a week making it the logical medical home Fragmented Care negatively impacts the patient’s quality of life and increases the risk of hospitalizations This is a resource intensive cohort of patients, with annual costs 10 times that of an average Medicare patient

Challenges

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End Stage Renal Disease Seamless Care Organization or ESCO Partnerships between CMS, nephrologists and dialysis providers Accountable for all facets of their matched beneficiaries’ care Share savings with CMS if matched beneficiaries’ expenditures decrease and quality is maintained or improved Share losses if beneficiaries’ expenditures increase

Understanding ESCOs

CMS ESCO

Dialysis Units Nephrology Practices Others

Medicare FFS Beneficiaries

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Patient Eligibility

Enrolled in Medicare Parts A and B Medicare is primary payer Not be enrolled in a Medicare Advantage plan, cost plan, or other non-Medicare Advantage Medicare managed care plan Not be affiliated with an existing shared savings program At least 18 years of age & reside in the US Not received a kidney transplant in the last 12 months Matching through “first touch” Receive at least 50% of annual dialysis services in the ESCO’s market area

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 Beneficiary matching is based on the dialysis unit  Initial matching is preliminary  Final matching for shared savings/loss is retrospective  Beneficiaries retain all of their freedom of choice  Medicare continues to pay claims

Patient Attribution

Note: A beneficiary will be removed from the ESCO’s list of aligned beneficiaries for the entire Performance Year if the patient received more than 50 percent of his or her dialysis services from one or more Dialysis Facilities outside of the Market of the ESCO during the Performance

  • Year. *

*Beginning in 2018 (PY3) geographic exclusions may apply.

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  • Fresenius – 6 ESCO’s
  • DCI – 3 ESCO’s (Nashville, Spartanburg, Newark)
  • DaVita – 3 ESCO’s (Phoenix, Miami and Philadelphia)
  • Non-Large Dialysis Organizations
  • Rogosin Kidney Care Alliance (NY)

October 2015 – December 2016

Initial 13 ESCO Programs

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  • Fresenius – 24 ESCO’s
  • DCI – 5 ESCO’s (Nashville, Spartanburg, Newark, Kansas City, Pittsburgh)
  • DaVita – 3 ESCO’s (Phoenix, Miami, Philadelphia)
  • Non-Large Dialysis Organizations (1 ESCO each)
  • Rogosin Kidney Care Alliance – NY
  • Northeast Ohio Renal Alliance – Cleveland
  • The Gotham City Kidney Care ESCO – NY
  • Northwest Kidney Alliance – Seattle

ESCO Programs 2017 to present: 36 Total

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Fresenius ESCO Experience

ESCO/Location

Seamless Care of Atlanta Seamless Care of Houston Seamless Care of Central Alabama Seamless Care of Indianapolis Seamless Care of Central Illinois Seamless Care of Las Vegas Seamless Care of Central North Carolina Seamless Care of Louisiana Seamless Care of Central Texas Seamless Care of Maryland Seamless Care of Charlotte Seamless Care of Massachusetts Seamless Care of Chicago Seamless Care of Michigan Seamless Care of Columbia Seamless Care of Minneapolis Seamless Care of Dallas Seamless Care of New York Seamless Care of Delaware Seamless Care of Philadelphia Seamless Care of Erie Valley Seamless Care of Portland Seamless Care of Gulf Shore Seamless Care of San Diego

2015 – 6 Cohort 1 ESCO’s 2017 - 24 ESCO’s

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Care Navigation Unit

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CNU Focus: to reduce unnecessary hospital admissions

CNU is a team of nurses, social workers and service operations specialists who provide 24/7 coordination of care support

Care Navigation Unit (CNU)

Monitors patients real time allowing for “just in time” interventions to find solutions and remove

  • bstacles

Increasing communication between key stakeholders in a fragmented system Empowered to take extraordinary measures to safely coordinate care at the lowest level of intensity 24/7 access to all patient data contained in the dialysis center EHR Caring for >48,000* patients in various programs across North America * As of October 2018

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CNU Focus: Reduce Unnecessary Hospitalizations

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1% 10% 16% 16% 12% 10% 8% 6% 5% 3% 3% 11% 0% 2% 4% 6% 8% 10% 12% 14% 16% 18% Same 2 4 6 8 10

Admits LOS

CNU Focus: Reduce Unnecessary Hospitalizations

$7,541 $9,128 $10,133 $10,568 $0 $5,000 $10,000 $15,000

Same 1 2 3

Avg Cost/day

0-3 day stays are often treatment adherence related All admits are high cost DRG w/MCC

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FHP Care Navigation Unit Coordination

  • Scheduling medical appointments
  • Coordinating home health services
  • Obtaining DME covered by health

plan

  • Locating community resources
  • Coordination of transportation
  • Provide short term

transports during temporary disruption of permanent transportation

  • Locate long term solutions

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Predictive Analytics and Clinical Insights: FHP teams have developed technology and predictive models to identify a list of high risk members, enabling the front line CNU to reach out in advance of clinical issues either telephonically or face to face.

Clinical Member Surveillance

Multiple hospital admissions and /

  • r ER visits < 90

days Local CNU, Provider or Clinic Insight and Requests Clinical Indicators EOL Predictive Model Weekly No Show Predictive Model Hospitalization Risk Predictive Model

High Visibility Member List

Incident Members

F2F Visits by CNU RN

Contact the CNU at mycarenav@fmc- na.com with member needs & F2F requests 15

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Safe and Effective Care Coordination Providing care

  • pportunities

in outpatient setting

  • Reduce unnecessary

‘emergency’ services

  • Reduce unnecessary

hospital admissions

  • Reduce unnecessary

hospital re-admissions

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Quality

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Quality Categories - 2017

  • Combination of claims data and chart review

10 Hybrid Measures

  • All based on claims or other CMS documentation – upside

is that shared savings strategies work in tandem with 2 of these measures.

3 Standardized Ratio Measures

  • KDQOL – This is a Health Outcome Survey (HOS)

methodology

  • ICH-CAHPS – uses Dialysis surveys conducted for Dialysis

Clinic Quality

7 Survey Measures

  • Patient Safety and Clinical Quality of Care

6 QIP Results

Total of 26 measures

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Quality Categories -2018

9 Hybrid Measures Standardized Ratio Measure

  • 2 measures of patients on transplant waitlist
  • standardized ratio of First kidney transplant waitlist
  • percentage of Prevalent patient on a waitlist
  • Based on medical records and CMS Data Warehouse

Transplant Wait List 2 Surveys ICH CAHPS & KDQOL

Total of 19 Measures

Based on hospital claims or CMS Clinical Data Warehouse Combination of claims data and medical records

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3 - Hybrid Measures 1 - Standardized Ratio Measure 1 - Survey

Total of 5 Measures

Quality Categories- 2019

Combination of Medicare claims data and medical record data

  • Influenza, Depression, Advance Care Plan

Hospital claims or other CMS documentation ICH-CAHPS – dialysis survey conducted for Dialysis Clinic Quality

  • 6 Domains

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PY 1 Results – All 13 ESCOs

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Questions??????

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Glenda Wooten, RN, MN, NEA-BC Senior ESCO Program Manager glenda.wooten@fmc-na.com Cell – (704) 412-0004

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Contact Information