Welcome to the New England QIN-QIO Using Data to Improve ... · PDF fileUsing Data to Improve...
Transcript of Welcome to the New England QIN-QIO Using Data to Improve ... · PDF fileUsing Data to Improve...
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Welcome to the
New England QIN-QIO
Using Data to Improve Care
Transitions and Reduce
Readmissions
Thank you for joining. Our presentation will begin shortly.
If you haven’t already, please dial in to the audio line:
888-895-6448 Passcode: 519-6001
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Using Data to Improve Care
Transitions and Reduce
Readmissions
Rebekah Gardner, MD
Blake Morphis Healthcentric Advisors, New England QIN-QIO
May 22, 2017 This material was prepared by the New England QIN-QIO, the Medicare Quality Innovation Network-Quality Improvement Organization for New England, under
contract with the Centers for Medicare & Medicaid Services (CMS), an agency of the U.S. Department of Health and Human Services. The contents presented
do not necessarily reflect CMS policy. CMSMA_C3-1_050117_0993
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Sandra Parker Vice President & General Counsel
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Sandra Parker is Vice President & General Counsel for the Maine Hospital Association. She is also responsible for policy analysis and development for key health policy issues, such as quality of care and patient safety. Sandra is the state lead for the Centers for Medicare & Medicaid Services’ Hospital Improvement Innovation Network contract with the American Hospital Association’s Health Research & Educational Trust.
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QIN-QIO Hospital Reports
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Enhancements
• Who
• What
• When
• Where
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Rebekah Gardner, MD
Senior Medical Scientist, New England QIN-QIO
Attending Physician, Rhode Island Hospital
Associate Professor of Medicine, Brown University
Blake Morphis
Manager of Analytic Services
New England QIN-QIO
Healthcentric Advisors
Maureen Leary
Senior Program Coordinator
New England QIN-QIO
Healthcentric Advisors
Today’s speakers
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Inform your quality
improvement efforts
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Perform root cause
analysis
Identify readmission
drivers
Select and implement
intervention
Track process and outcome
data
Determine effectiveness
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The purpose of these reports
• Illuminate opportunities
at your hospital
• Identify readmission
patterns specific to
your community
• Guide intervention
selection and focus
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Build the full picture
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1. Analyze available data
2. Capture input from frontline
staff, patients, caregivers,
3. Gather community
information and input
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Build the full picture
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1. Analyze available data
2. Capture input from frontline
staff, patients, caregivers,
3. Gather community
information and input
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Key differences
• Initially developed to support compliance
programs, prevent improper payments
• Runs on the fiscal year, not calendar year
• Different data lag, likely longer
• Separate reports for psych and critical
access hospitals – annual
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Hospital Improvement
Innovation Network
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• MHA/HRET HIIN readmission measures include
– All-cause unplanned 30-day readmissions (all payors)
– All-cause unplanned 30-day readmissions (Medicare FFS only)
• For MHA/HRET HIIN hospitals, measures are
calculated using the inpatient discharge dataset you
upload each month
CMS Goal: By September 27, 2018, each participating
HIIN hospital reduces unavoidable readmissions by at
least 12 percent
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New England QIN-QIO
Hospital Reports
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Hospital report overview
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• Trends over time
• Readmissions, ED and obs
• Index and readmission diagnoses
• Days to readmission
• Demographics
• Disposition
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Good to know
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• Medicare fee-for-service population
• Readmissions anywhere
• Includes psych
• Not risk adjusted
• Data from claims
• Available quarterly
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QIN-QIO Hospital Report
Section 1:
All Cause 30 Day
Readmissions
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How to use these data
• Understand big picture
• Compare to state data
• Trend over time
• Track overall progress and
impact of interventions
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QIN-QIO Hospital Report
Section 1:
Number of
Days Until
Readmission
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How to use these data
• Identify when most readmissions
coming back in
• Consider potential drivers for
findings
• Target interventions to most
vulnerable time period
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QIO-QIO Hospital Report
Section 2:
Condition-Specific
Readmissions
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Readmission rates for
specific diagnosis categories
Acute MI Heart failure
COPD
Diabetes Pneumonia Sepsis
Based on AHRQ Clinical Classifications Software
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30-day readmission measure
Index admission diagnosis
– Based on principal diagnosis at discharge
– Readmissions apply to index admission
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30-day readmission measure
Index admission diagnosis
– Based on principal diagnosis at discharge
– Readmissions apply to index admission
Diagnosis: Acute MI
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30-day readmission measure
Index admission diagnosis
– Based on principal diagnosis at discharge
– Readmissions apply to index admission
Diagnosis: Acute MI 30 Days
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30-day readmission measure
Index admission diagnosis
– Based on principal diagnosis at discharge
– Readmissions apply to index admission
Diagnosis: Acute MI 30 Days Diagnosis: Pneumonia
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30-day readmission measure
Index admission diagnosis
– Based on principal diagnosis at discharge
– Readmissions apply to index admission
Diagnosis: Acute MI 30 Days Diagnosis: Pneumonia
Readmission counts under Acute MI
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How to use these data
• Understand more traditional
readmission drivers
• Predict HRRP penalties
• Evaluate effects of diagnosis-
directed interventions
• Identify clear outlier diagnoses
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QIO-QIO Hospital Report
Section 3:
Top 10 Index &
Readmission
Diagnosis
Categories
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Two tables
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• Top 10 Index Admit Diagnosis Categories
– What diagnoses your patients left the hospital
with on the initial admission
• Top 10 Readmission Diagnosis Categories
– What diagnoses your patients came in with
when readmitted
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Index diagnoses
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Index diagnoses
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Index diagnoses
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Index diagnoses
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Readmission diagnoses
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Readmission diagnoses How to use these data
• Look for drivers—may not be
HRRP associated diagnoses
• Highlight behavioral health and
substance use contribution
• Notice if top 10 not a significant
proportion of all readmissions
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QIO-QIO Hospital Report
Section 4:
Top 10 Index
Admission
Categories with
Associated
Readmission
Categories
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Linking index diagnoses to
readmission diagnoses
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• Takes the top 10 index admission
diagnosis categories
• Pairs them up with their associated
readmission diagnosis categories
• All based on principal diagnosis
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Index linked with readmission
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Index linked with readmission
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Index linked with readmission
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Index linked with readmission How to use these data
• Dive deeper into a diagnosis
• Recognize a pattern, pull charts,
interview patients
• Get curious—lots of pneumonia
coming back with UTIs? Check
out catheter use
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QIO-QIO Hospital Report
Section 5:
Demographics,
Co-morbidities,
Readmitted to
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Demographics
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Demographics
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Demographics
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Demographics
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Co-morbidities
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Where readmissions occurred
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Where readmissions occurred
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Where readmissions occurred
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Where readmissions occurred
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Where readmissions occurred
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Where Readmission Occurred How to use these data
• Identify highest risk age groups
• Look for disparities among
different populations—why?
• Notice co-morbidities associated
with high readmission rates
• Pinpoint where patients
readmitted—partnership needed?
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64
QIO-QIO Hospital Report
Section 6:
Emergency
Department
Visits
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Emergency department visits
65
• Total number of ED visits
• Percent of patients who visit the ED
within 30 days of inpatient admission
• Top 10 diagnosis categories
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Emergency department visits
66
• Total number of ED visits
• Percent of patients who visit the ED
within 30 days of inpatient admission
• Top 10 diagnosis categories
ED visits that result in
admission or observation
stay not included here
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Total number of ED visits
67
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ED visits within 30 days of
inpatient admission
68
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Top ED visit diagnoses
69
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Top ED visit diagnoses How to use these data
• Broaden framework of unplanned
utilization
• Consider how the ED fits into
your transitions program
• Identify common ED diagnoses
and alignment with other efforts
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71
QIO-QIO Hospital Report
Section 7:
Observation
Stays
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Observation stays
72
• Total number of observation stays
• Percent of patients with observation
within 30 days of inpatient admission
• Top 10 diagnosis categories
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Observation stays
73
• Total number of observation stays
• Percent of patients with observation
within 30 days of inpatient admission
• Top 10 diagnosis categories
Observation stays that
result in admission are
not included here
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74
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Top observation diagnoses
75
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Top observation diagnoses How to use these data
• Complete the utilization picture
and account for trends more fully
• Analyze similarly to traditional
readmissions
• Adjust approach for ED-based
obs unit vs intermingled on floor
76
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77
QIO-QIO Hospital Report
Section 8:
Readmissions
From Post-
Acute Care
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Post-acute care readmissions
78
• Readmissions stratified by status
code/discharge disposition on claim
• Available settings
– Home
– Home health
– Skilled nursing facility
– Other
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Readmissions from SNF
79
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Readmissions from SNF
80
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Readmissions from SNF How to use these data
• Compare rates among settings
• Explore high rates from a
particular setting
• Engage community partners to
improve discharge transitions
81
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In summary…
82
• Consider overall readmission goals
• Analyze available data
• Provide leadership with full picture
• Identify focus areas from your data
• Track, trend, revise, revisit
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In summary…
83
• Consider overall readmission goals
• Analyze available data
• Provide leadership with full picture
• Identify focus areas from your data
• Track, trend, revise, revisit
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In summary…
84
• Consider overall readmission goals
• Analyze available data
• Provide leadership with full picture
• Identify focus areas from your data
• Track, trend, revise, revisit
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In summary…
85
• Consider overall readmission goals
• Analyze available data
• Provide leadership with full picture
• Identify focus areas from your data
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In summary…
86
• Consider overall readmission goals
• Analyze available data
• Provide leadership with full picture
• Identify focus areas from your data
• Track, trend, revise, revisit
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Next steps
87
Once you know
what to target . . .
. . . the QIN-QIO
and the HIIN can
help identify
interventions and
feasible
measurement
strategies
Perform root cause
analysis
Identify readmission
drivers
Select and implement
intervention
Track process and
outcome data
Determine effectiveness
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We want to hear from you!
88
https://www.surveymonkey.com/r/MEC305
2217
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Contact us…
Maureen Leary
Rebekah Gardner, MD
Blake Morphis
Sandra Parker
89