Acting Upstream to Reduce Admission Rates for Diabetes Patients
12%
Demand and Acuity Rising
SDOH Correlates to Higher Discharges
GROWTH FOR DIABETES INPATIENT DISCHARGES
14% of diabetes inpatient discharges came from communities with high social needs and the discharge rate was 144% above the five-state average in very high social needs zip codes.
By 2026, there is a projected 12% growth for diabetes inpatient discharges and an 8% increase in average length of stay according to the Sg2 Impact of Change Forecast.
8%
INCREASE IN AVERAGE LENGTH OF STAY
Imagine This Scenario
Learn more about how Vizient is advancing health equity across the continuum of care and explore the public patent-pending Vizient Vulnerability Index™.
8%
A Diabetes Prevention Initiative is launched with a goal to reduce diabetes inpatient use rate by 20%. Tactics could include targeting food insecurity and increasing diabetes self-management training in communities of need. If successful, the initiative would yield an 8% decrease in bed days for the market, which translates to $126M in potential bed day cost savings nationwide.
DECREASE IN BED DAYS FOR THE MARKET
$126M
BED DAY COST SAVINGS NATIONWIDE
Info
Diabetes Comparrison Results
We cross-walked the Vizient Vulnerabillity Index™ by zip code with a combined five-state — Arizona, Florida, New York, Pennsylvania and Texas — all-payer 2021 inpatient dataset to identify geographical differences in hospitalization rates by social risk score for diseases and procedures. The following were the results specifically for diabetes.
1. Discharge Volume change defined as five-state 2021 discharge volume for principal diagnosis code of diabetes-related condition, >17 years2. Use Rate defined as inpatient diabetes admission per 1,000 population >17 years3. Use Rate % change defined as the % difference in diabetes use rate from Vizient Vulnerability Index segment and 5-state average 4. R2-percentage of the increase in inpatient use rate that can be explained by social risk score (Vizient Vulnerability Index score range)
SDOH - Diabetes Blog
Vizient Multimedia
Created on October 23, 2023
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Acting Upstream to Reduce Admission Rates for Diabetes Patients
12%
Demand and Acuity Rising
SDOH Correlates to Higher Discharges
GROWTH FOR DIABETES INPATIENT DISCHARGES
14% of diabetes inpatient discharges came from communities with high social needs and the discharge rate was 144% above the five-state average in very high social needs zip codes.
By 2026, there is a projected 12% growth for diabetes inpatient discharges and an 8% increase in average length of stay according to the Sg2 Impact of Change Forecast.
8%
INCREASE IN AVERAGE LENGTH OF STAY
Imagine This Scenario
Learn more about how Vizient is advancing health equity across the continuum of care and explore the public patent-pending Vizient Vulnerability Index™.
8%
A Diabetes Prevention Initiative is launched with a goal to reduce diabetes inpatient use rate by 20%. Tactics could include targeting food insecurity and increasing diabetes self-management training in communities of need. If successful, the initiative would yield an 8% decrease in bed days for the market, which translates to $126M in potential bed day cost savings nationwide.
DECREASE IN BED DAYS FOR THE MARKET
$126M
BED DAY COST SAVINGS NATIONWIDE
Info
Diabetes Comparrison Results
We cross-walked the Vizient Vulnerabillity Index™ by zip code with a combined five-state — Arizona, Florida, New York, Pennsylvania and Texas — all-payer 2021 inpatient dataset to identify geographical differences in hospitalization rates by social risk score for diseases and procedures. The following were the results specifically for diabetes.
1. Discharge Volume change defined as five-state 2021 discharge volume for principal diagnosis code of diabetes-related condition, >17 years2. Use Rate defined as inpatient diabetes admission per 1,000 population >17 years3. Use Rate % change defined as the % difference in diabetes use rate from Vizient Vulnerability Index segment and 5-state average 4. R2-percentage of the increase in inpatient use rate that can be explained by social risk score (Vizient Vulnerability Index score range)