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DATA ANALYTICS AND ANTIMICROBIAL
STEWARDSHIP
Innovative Solutions Customised for WA
Health
Michelle StirlingSusan Benson
Simone Tempone
ANTIMICROBIAL USAGE MONITORING AS TOOL TO IMPROVE PRESCRIBING
NAUSP: NATIONAL ANTIMICROBIAL UTILISATION SURVEILLANCE PROGRAM
Monitoring coordinated at national center
Hospitals submit1. Antimicrobial dispensing data (iPharmacy)2. Bed daysData is aggregated to ICU and non-ICU levels
Uses standardised WHO methodology
Reports issued to contributing hospitals bi-monthly
Benchmark with similar sized hospitals
Enables national and state monitoring
WHAT WOULD BE THE IDEAL?
Analysis At More Granular Level Breakdown by ward rather than hospital / ICU
Add Other Antimicrobial Agents Metronidazole, clindamycin, doxycycline, antifungal agents etc.
IV vs Oral Formulation Breakdown by ward rather than hospital / ICU
ANTIMICROBIAL USAGE MONITORING AS TOOL TO IMPROVE PRESCRIBING
NAUSP:
Analysis Total hospital
ICU and non-ICU
Antimicrobials – 17 agents in 7 classes 3rd and 4th generation Glycopeptides Carbapenems Fluoroquinolones Aminoglycosides Anti-pseumodmonals
agents
State and National reportsMore recently additional reports
respiratory, haematology / oncology, ICU
LOCAL WA INITIATIVE 2015
•Using the raw data that is submitted to NAUSP
•Apply the published algorithms
•Using Excel• Clean and sort ipharmacy
report• Calculations• Pivot tables for analysis
EXCEL PROTOTYPE
EXCEL PROTOTYPE
Positives
Successful proof of concept
Able to incorporate ED usage data
Presented data to heads of department and AMS committee Feedback: well received, useful
information
Negatives
Cleaning imprest data required multiple manual steps and time consuming
Restricted options for analysis and presentation
WHAT WOULD BE THE IDEAL?
Analysis At More Granular Level
Add Other Antimicrobial Agents
IV vs Oral Formulation
Include ED antimicrobial use
Interactive interface
Sustainable
ANTIBIOTIC USAGE DATA:ASSISTING CLINICIANS TO IMPROVE PRESCRIBING
Team of 6 people
48 hours
Developed system with high level backend smarts that would allow gener ic input
Easy for updating
Advanced analytics
NationalHospitalWardDrug Comparisons
ANTIMICROBIAL USE ANALYSIS REPORT INTERFACE
THINGS HAVEN’T BEEN QUIET AB USAGE TOOL 2017
14
WA ANTIBIOTIC USAGE TOOL 2017
Team of 3 people
After hours over 2 weeks
Build on previous work and skills developed since
Re-using the data from 2014-2015
Using Tableau BI software
Interactive interface Right click hovering over display to provide
more detailed information Underlying data easily accesses within the
program Great potential for customisation and building
other views for different purposes
Meet current needs of new strategies in AMS
Michelle Stirling
Simone Tempone
Susan Benson
WA ANTIBIOTIC USAGE TOOL2017
WA ANTIBIOTIC USAGE TOOL2017
WA ANTIBIOTIC USAGE TOOL2017
WA ANTIBIOTIC USAGE TOOL2017
WA ANTIBIOTIC USAGE TOOL2017WardGroup
January
2014
February
2014
March2014 April2014 May2014 June2014 July2014 August2014 September
2014
October
2014
November
2014
December
2014
January
2015
February
2015
March2015 April2015
AMU
General
medical
ICU
Maternity
Surgical
0
20
40
60
80
Usagedensityrate
0
20
40
Usagedensityrate
0
50
100
150
Usagedensityrate
0
50
100
150
Usagedensityrate
0
50
100
Usagedensityrate
MetrondiazoleFormulation:IVvsOralvsSuppository
Formulation
oral
parenteral
suppository
WA ANTIMICROBIAL USAGE TOOL 2017
Discussion pointsDoes not replace NAUSPPossible use: Statewide system Local tool
Application to Other Quality InitiativesHackathonsInnovation, collaboration, upskillingRole of Data Analytics
ACKNOWLEDGEMENTS
Health Hack Team 2015 James Bale Naresh Lakshminaray Paul Foss Richard Varhol Lovish Gard
Other Hack Collaborators since 2015
Initial AMS Team Heads of Departments Pharmacy Hospital Exec for consent to take challenge to
hackathon
