Helping Practices to Help Patients
November 5th, 2015 Tarrytown, New York Denise Levis Hewson, RN, BSN, MSPH
- Sr. Vice President of Network Development & State Programs
Helping Practices to Help Patients November 5 th , 2015 Tarrytown, - - PowerPoint PPT Presentation
Helping Practices to Help Patients November 5 th , 2015 Tarrytown, New York Denise Levis Hewson, RN, BSN, MSPH Sr. Vice President of Network Development & State Programs Vision and Key Principles Strong primary care is foundational to
Primary Care Foundation Data to inform decisions & focus efforts Population mgmt: Stratify population, choose targets Multi-disciplinary team: RX, Behavioral, Care Manager Community supports and resources
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= Individual patient health care cost
$0 $1K $2K $3K $4K $5K $6K $7K $8K $9K $10K $11K $12K $13K $14K $15K $16K $17K $18K $19K $20K
$0 $1K $2K $3K $4K $5K $6K $7K $8K $9K $10K $11K $12K $13K $14K $15K $16K $17K $18K $19K $20K $0 $1K $2K $3K $4K $5K $6K $7K $8K $9K $10K $11K $12K $13K $14K $15K $16K $17K $18K $19K $20K $0 $1K $2K $3K $4K $5K $6K $7K $8K $9K $10K $11K $12K $13K $14K $15K $16K $17K $18K $19K $20K
Because their utilization is higher than others in the same cohort, these patients would likely benefit from Targeted Care Management. Under conventional flagging methodology, they would have been missed Under conventional flagging methodology, all of these people might have been flagged; care management would likely have had minimal impact for most of them.
Every patient in the population is assigned to a clinical risk cohort according to a hierarchical model using standard claims data—including inpatient,
Each dot represents an individual’s healthcare spending pattern, focusing
Care Manager Intervenes Time
$0 $1K $2K $3K $4K $5K $6K $7K $8K $9K $10K $11K $12K $13K $14K $15K $16K $17K $18K $19K $20K
Peer Group #2
$0 $1K $2K $3K $4K $5K $6K $7K $8K $9K $10K $11K $12K $13K $14K $15K $16K $17K $18K $19K $20K
Peer Group #1
Actual-to-Expected Difference Actual-to-Expected Difference
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Patient Education Timely Follow- up with Outpatient Providers Medication Management Face-to-Face Patient Encounters
0% 10% 20% 30% 40% 50%
Reduction in Readmission Risk When Managed
*Size of bubble reflects the size of the patient population.
Low Risk Medium Risk High Risk
Peer-reviewed research
0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 YES (N=3,690) NO (N=6,337)
Days since discharge from the hospital
Survival Function
Time to Readmission for Patients Receiving Outpatient Follow-up Within 7 Days of Discharge
(Patients with single dominant or moderate chronic condition; ACRG3 = 51-56) All CCNC enrolled at discharge; inpatient discharges during the period 4/1/12-3/31/13, excluding deliveries, newborns, discharges to another facility and members dually enrolled at discharge.
0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 YES (N=581) NO (N=1,304)
Days since discharge from the hospital
Survival Function
Time to Readmission for Patients Receiving Outpatient Follow-up Within 7 Days of Discharge
(Patients with multiple chronic conditions and 40-50% expected risk of readmission) All CCNC enrolled at discharge; inpatient discharges during the period 4/1/12-3/31/13, excluding deliveries, newborns, discharges to another facility and members dually enrolled at discharge.
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Patient Education Timely Follow-up with Outpatient Providers Medication Management Face-to- Face Patient Encounters