1. Reducing the Days Children Spend in the Hospital
Tableau Data Tool
May 2018
Learning Session

2. Background…
The Inpatient Bed Day Disparity Reduction Team is working to understand the root causes of disparities across conditions so as to reduce the number of days children spend in the hospital.
Our Mission…
In-community work/SDH
Chronic disease work
Balanced focus between chronic conditions managed at least in part by the health system &
in-community/social determinants
Our Approach…
Our Tools…
How we are using Tableau Data Analytics to
help us reach our goals

3. Inpatient Bed Day Disparity Reduction Key Driver Diagram
  Project Leader(s):  Andy Beck, MD and Kristy Anderson, LISW-S
Revision Date:  04/10/2018
Global Aim
Key Drivers
Interventions
Measures
Cincinnati’s children the healthiest in the nation through strong community partnerships
Chronic diseases are well controlled (i.e. preventable morbidity is prevented)
CHW-driven outreach
Community-based “touches”
Child HeLP referrals
ACT scores
3 month med supplies
Readmissions
Condition-based disparities
Divisions activated
Clinics activated
Transition bundle adherence
Preventive care adherence
Asthma standardization
FY18 SMART Aim
Easy for families to receive the right care in the right place
To reduce the inpatient bed day rate by 7% from 99.9 to 93 per 1000 children by 06/30/2018
Transitions of care
Proactive supports assist families remove barriers to health (i.e. action on the social determinants of health)
Work across divisions\conditions (e.g. diabetes, sickle cell, epilepsy, dental, outpatient pharmacy)
Democratized, transparent data
FY20 SMART Aim
Standardized approach to clinical decision making that can be adjusted to patient and family needs
To reduce the inpatient bed day rate by 10%, from 99.9 to 90 per 1,000 children by 6/30/2020
In-community care provision
Daycare infection prevention
Entire health system and community is activated to achieve equity
Population
Standardization of admission decision making (ED, elective surgery)
Children aged years living in Avondale, Lower Price Hill, and East Price Hill
Potential intervention
Active intervention
Adopted/Abandoned intervention
Legend

4. Ability to connect patient’s address changes with admissions
Using Tableau to Inform our Thinking
This chart helps us understand the medical and social journey for a specific patient
Ability to connect patient’s address changes with admissions

5. Comparisons
This chart breaks down number of bed days for specific admitting diagnosis for a neighborhood with comparison to Hamilton County.

6. One possible are of focus
How Data Drives Strategy
For children admitted to the hospital per neighborhood, this map lets us see where they are living down to the street level.
This shows us how many days the children in this neighborhood are spending in the hospital and for what reason
One possible are of focus

7. Measures and Results

8. Kristy Anderson, LISW-S
Contacts
Thank you!
We welcome any questions or further discussion…
Andy Beck, MD
Kristy Anderson, LISW-S
Stuart Taylor
General Pediatrics
Clinical Manager
Data Analyst