Mapping Opioid and Other Drug Issues (MOODI) Tool. Washington State Category 3 Grant BJA Meeting August 2016

Transcription

1 Mapping Opioid and Other Drug Issues (MOODI) Tool Washington State Category 3 Grant BJA Meeting August 2016

2 MOODI A statewide GIS mapping tool that integrates PDMP and other opioid-related datasets to identify areas of high need and insufficient resources (e.g., medication-assisted treatment)

3 Datasets Included PDMP Dispensing records Prescriber registrations Overdose MAT Other Opioid OD hospitalizations Opioid OD deaths Buprenorphine-waivered physicians Opioid Treatment Program list State treatment admissions data Naloxone sites Safe Rx drug disposal sites

4 Visualization of Local Issues Needs - Risky Rx patterns - Rx opioid and heroin overdose Resources - MAT - Naloxone - PDMP registration - Safe Rx drug disposal Gaps - MAT service deserts - Prevention gaps

5 Supporting Documents Guidance manual Map interpretation Prioritizing strategies Workgroup planning sheet Technical document Indicator definitions Inclusion criteria Analytic notes 5

6 MOODI Functionality Users can: Click to see technical details and definitions Zoom in or out, scroll any direction Display up to 4 maps simultaneously View results using various denominators (e.g., counts, rates per 1,000 opioid prescriptions, rates per 1,000 population) 6

7 MOODI SAMPLE SCREENSHOTS

8 Sample Map: Opioid OD Deaths

9 Sample Map: High Dosage

10 Travel Time to Buprenorphine Prescriber

11 Availability of Opioid Treatment Programs

12 Multiple Maps Display

13 Maps In Progress Maps still under development: Buprenorphine service availability: considers active/inactive prescribers and caseload size MAT service deserts: shows index score across needs and resources related to MAT

14 State Stakeholder Examples Medicaid Official Identifies areas with high opioid issues, few bup prescribers Targets outreach efforts to providers to seek bup waivers Health Officer IDs areas with high rates of high dosage and overlapping benzos Targets prescriber education efforts Behavioral Health Official IDs areas where bup prescribers are providing shortterm prescriptions Works to ID barriers to maintenance bup treatment

15 Local Stakeholder Examples County Health Officer Prevention Coalition Police Chief IDs areas with high rates of overdose and no naloxone Low rates of PDMP registration, high rates of multiple prescriber episodes High rates of opioid overdose Targets pharmacies for naloxone distribution Implements PDMP registration campaign Seeks funding for first responder naloxone trainings Medical Provider High rates of overdose and Rx risk Convenes local prescriber workgroup with county health officer

16 Challenges and Considerations DATA-RELATED CHALLENGES

17 Data Challenges Extensive cleaning with PDMP data and DEA list Needed to upgrade server speed and create dedicated server Indicator definitions and analytic decisions Next steps: WA DOH will create code library for risk measures to move toward consistency across projects/agencies/researchers

18 GIS Challenges Smoothing technique improvement Used variable-sized geographic windows to account for differences in population density. E.g., rate per closest 1,000 deaths instead of rate per 1,000 deaths within a defined grid cell.

19 Next Steps SUSTAINING, AND EXPANDING MOODI

20 Sustaining/Expanding MOODI Working on funding to sustain and expand, for example: Show trends over time Add additional opioid-related data Administrative: crime lab, arrests, ER, EMS Survey: BRFSS, statewide student survey 20

21 Expanding Stakeholder Groups MOODI infrastructure now in place and may be useful for others, for example: Add marijuana-related data for state groups working on this issue Make platform available to other states 21

22 Contact Chris Baumgartner, PMP Director Gillian Leichtling, Mapping Project Manager Project Partners WA Department of Health HealthInsight Oregon (formerly Acumentra Health) University of Washington (Caleb Banta-Green, Ryan Hansen) Looking Glass Analytics 22