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IHS Palliative Care Project
A collaboration to develop palliative care metrics across the care
continuum
Objectives
• Describe the PC Metric Report• Discuss the value of metrics• Identify the outcome measurement system
developed by the Iowa Health System PC Affinity Group
• Identify next steps for PC Metrics expansion
Inpatient Palliative Care Metrics
• Consultation Volume• Palliative Care Consultation Rate• Length of Stay• Length of Stay Outliers• Cost Savings on Impact Days• Billable Revenue
Consultation Volume
0
50
100
150
200
250
Number of Inpatient Visits with Palliative Care Consultations
ave
CR
DM
FD
IHS
WT
Lo...
Consultation Volume
0
50
100
150
200
Number of Inpatient Visits with Initial Palliative Care Consultations
ave
CR
DM
FD
IHS
WT
L...
Consultation Volume
0
20
40
60
80
100
Number of Inpatient Visits with Previous Palliative Care Consultations
aveCRDMFDIHSWT
L...
Consultation Rate
0
5
10
15
Rate of Palliative Care Consultations per 100 Inpatient Admissions
aveCRDMFDIHSWT
Lo...
Cost Savings on Impact Days
-$50,000$0
$50,000$100,000$150,000$200,000$250,000$300,000$350,000$400,000
Cost Savings on Impact Days for Visits with Consults
aveCRDMFDIHSWT
L...
Cost Savings on Impact Days
-$50,000
$0
$50,000
$100,000
$150,000
$200,000
$250,000
$300,000
Cost Savings on Impact Days for Visits with Initial Consults
aveCRDMFDIHSWT
L...
Cost Savings on Impact Days
-$25,000
$0
$25,000
$50,000
$75,000
$100,000
$125,000
$150,000
Cost Savings on Impact Days for Visits with Previous Consults
ave
CR
DM
FD
IHS
WT
Lo...
Billable Revenue
$0
$10,000
$20,000
$30,000
$40,000
$50,000
$60,000
Provider Charges Billed for Palliative Care Services
ave
CR
DM
IHS
L...
Billable Revenue
$0
$5,000
$10,000
$15,000
$20,000
$25,000
Provider Charges Collected for Palliative Care Services
ave
CR
DM
IHS
L...
Outpatient Palliative Care Metrics
• Consultation Volume• Discharge Distribution/DC Reason• Readmission to Acute Inpatient Care– Referred from IPPC
• Readmission to Acute Inpatient Care – Without IPPC
Getting started
• Created the Palliative Care Affinity Group which includes inpatient and outpatient providers.
• Identified basic standards for PC programs– Definition– Interdisciplinary Team– Policies (based on National Consensus Project:
Clinical Practice Guidelines)
PC Metrics – Why?
• Internal quality assessment
• External quality assessment (TJC Accreditation, public reporting, value based contracting)
• Research/Exploratory Quality Improvement Initiatives
Determining Metrics
• Identified PC metrics based on national standards – series of articles in Journal of Palliative Medicine
by Dr. David Weissman and Dr. Diane Meier from Center to Advance Palliative Care)
• www.capc.org
Metric DomainsOperational
• Does my program have the features required to provide high quality palliative care?
• What metrics do I need to measure in order to demonstrate my program has these cores features?
Clinical• Am I improving the clinical care of patients?
Symptom assessment scores, psychosocial assessment scoresCustomer
• Am I meeting the needs of patients and families?Satisfaction survey data: patient, family, referring clinician
Financial• Is my program fiscally responsible?
Project Manager• Committee Team
• Formal Metric Documents (K. Routson)
• Data Development• Finalized Data Elements• Identifying IT Resources• DB Development
• Analytics and Reporting• Finalized• Audit Process
• Physicians Group (K. Routson)
Live Demonstration
http://cpi.ihs.org/valuebasedcontracting/Hospice_PalliativeCare
Project Technology
• Two established programs at Cedar Rapids and Des Moines
• Two Microsoft Access Databases– One backed by Microsoft Access– One backed by SQL Server
• Need for one Statewide Database across the Continuum of Care
Project Technology
• Involvement in Metric Development• Consolidation of Databases– Entry screens of one– Overall structure (SQL Server) of the other
• Security Issues with Statewide Database
Project Technology
• Involvement in Metric Development– Ensure database and entry screens are configured
properly– Work through what data needs pulled from other
sources versus entered manually
Project Technology
• Consolidation of Databases– Entry screens of one and structure of the other– TSI/EPSi Data
• Hospitalizations and Costs• Monthly Feed until all EPSi and Epic conversion is complete
– Horizons• Outpatient Metrics• Nightly feed• Medical Record Numbers are entered into Horizons for
linking
Project Technology
• Security Issues– Multiple Affiliates in one database– Both Inpatient and Outpatient in one database– Not an ACE (Affiliated Covered Entity)– Affiliate Personnel was developing and
maintaining the database– Need to be able to handle• Addition of affiliates - Peoria Methodist• Partners external to HIS - Hospice of Siouxland
Project Technology
• First Iteration– SQL Server data stored on the IHDM SQL Server– Access database in Network folder
• Issues– Data stored at one affiliate for multiple affiliates– Additional lock down of Access database wanted
Project Technology
• Second Iteration– SQL Server database that is maintained by IT– Access database accessed via Citrix– Utilized Access Runtime via Citrix to limit ability to
access design functions• Issues– Support model being worked through as IHS IT to
support Database– Need for Reporting Support
Project Technology
• Final– SQL Server database that is maintained by IT– Access database accessed via Citrix– Utilized Access Runtime via Citrix to limit ability to
access design functions– Patients can be viewed across the continuum– New Analytics Department in IT to support Database– Center for Clinical Transformations (CCT) to support
reporting
Report Developmentconvert data and information into knowledge
• Translate ‘word’ definitions into technical specifications
• Visually present what is happening• Trust and be confident with the results
Report Developmentconvert data and information into knowledge
• Data characteristics must be understood – necessary to define exact specifications
• Data must be accurate• Data must be complete
Report Developmentconvert data and information into knowledge
• Data are linked across tables or files by common fields.
• If data are wrong or missing, knowledge is lost.
Report Developmentconvert data and information into knowledge
• Provide reports that users can easily run to detect missing or inaccurate data
• Report staff run reports or conduct reasonableness check on data
• Design review/audit steps earlier, rather than later, in overall process
• Automate as much as possible – moving data introduces opportunity for error
Future Plans
• Automate metric report so it can be created internal to the system or via the new EDW and BI tools being developed.
• Look at alternatives to Access for entry (i.e. IQ4)• Add tabs in PC Report for PC Clinic, PC LTC, and
Hospice• Add clinical metrics in 2012 (pain, dyspnea,
advanced care planning)• Add customer satisfaction metric (patient/family,
referring provider)