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

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

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

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- 1069 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.

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.

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.

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

Next Steps Identify hospitals interested in participating in data exchange