1. 1115 Behavioral Health Learning Collaborative
Presented by
Cindy Hernandez, Emergence Health Network

2. Welcome Recap of last meeting
April 6, 2017
Agenda
Recap of last meeting 
Establishing baseline for high utilization
ER Admissions Data
Community Updates
Adjourn

3. Recap- High Utilization Indicators
Trend ER Data
Establish a baseline for high utilization
Based on number of ER admissions per year
Demographics
Age
Sex
Race/Ethnicity
Income
Employment
Housing status
Diagnosis- Primary and Secondary Diagnosis
Payer Source
Cost per admission
Method of arrival to ER
LMHA Client

4. Establishing baseline for high utilization
Admission/Readmission
Total Admissions 1
935 2
109 3 20 4 5
Example: EHN’s Extended Observation Unit Admissions- FY 16
Total Admissions
10% of population had at least two visits or more
2% of population had at least three visits or more
High utilization is identified as 2 or 3 times in one year.

5. Establishing baseline for high utilization
Run query for all ER admissions for FY 16
Identify a service code (e.g. discharge code) that is utilized once per admission
Establish a baseline for high utilization utilizing a pivot table or COUNTIF formula.

6. Using COUNTIF:
After running the report, copy and paste the patient ID column into sheet2 in an excel file
Remove duplicates of patient IDs in sheet2
On sheet2, in the column next to Patient IDs, select formula COUNTIF.
For Range, select Patient IDs column under sheet1 and in criteria select column of patient IDs on sheet 2.

7. Analysis on High Utilization
Prevalent Diagnosis
Major Depression
35%
Schizophrenia
25%
Bipolar Disorder
23%
Prevalent Payer Source
General Revenue
65%
Medicaid
10%
Amerigroup 5%

8. Next Steps
Identify hospitals interested in participating in data exchange