1. D ATA Q UALITY AND THE C ONTINUITY OF C ARE FOR HIV P ATIENTS IN N ORTH D AKOTA Krissie Guerard, MS Tracy Miller, MPH Becky Wahl

2. W HERE DID WE START ? eHARS – submits HIV surveillance data to CDC CAREWare – Ryan White and the AIDS Drug Assistance Program’s client information used for reporting to HRSA Access Database – houses medication tracking information for ADAP medication rebates Maven – the electronic disease surveillance system which stores case management data for all mandatory communicable diseases

3. W HY WASN ’ T THAT EFFICIENT ? Much of the collected information was the same Created double and triple data entry which compromised the data quality Minimal staff and capacity Not all needed information was found in the HIV systems such as co-morbidities

4. W HY CHANGE ? The use of four systems results in minimal time for HIV prevention, surveillance and care activities Improve data quality Increase the continuity of care for those living with HIV in North Dakota

5. W HAT WAS THE ANSWER ? Maven The Maven system is not only a disease centric system, but client centric as well and is comprised of three models STD Epidemiology/Immunization TB

6. M ETHODS HIV surveillance and Ryan White/ADAP have been incorporated into the STD model in Maven All laboratory follow-up is incorporated into a single case including CD4 counts and viral loads Infections of TB, HCV, chlamydia, or even influenza will be associated to HIV cases when they become reported

7. HIV CASE IN M AVEN

8. R ISK P ACKAGE

9. L AB D ATA

10. L AB TAB WITH HIV CONFIRMATION

11. L AB D ATA

12. C O -M ORBID I NFECTIONS By clicking on client name you will receive a line list of other infections associated with this client.

13. C O -M ORBID I NFECTIONS

14. L INKED C ONTACTS

15. R YAN W HITE S ERVICES

16. P ROVIDER E NROLLMENT P ACKAGE

17. R ESULTS The resulting product incorporates all four stand- alone systems into a single system Communication improvement between HIV surveillance, Ryan White and all reportable diseases Allows data sharing between programs with little to no effort By utilizing this system, we will see an increase efficiency of data entry, reduce staff time, and be an all-encompassing reporting mechanism

18. I MPROVED C LIENT C ARE ? H OW ? Staff can spend more time on medication adherence and confirming laboratory results Co-morbidities Prevention for positives

19. L ESSONS L EARNED ? Communication Ensure all HIV and Ryan White staff are willing to participate Ensuring what is requested is what is received Speaking a common language between IT and Epidemiology Regular meetings between Maven staff and HIV staff Resource Management Ensure staff are properly trained Ensure staff time (programmatic and informatics) is available to make the requested changes Have a configurable software product to accommodate the changes

20. C ONTACT I NFORMATION Krissie Guerard, MS HIV/STD/TB/Hepatitis Program Manager kguerard@nd.gov Becky Wahl Maven Coordinator bewahl@nd.gov Tracy Miller, MPH State Epidemiologist tkmiller@nd.gov www.ndhealth.gov/disease 701.328.2378