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Data Quality and the Continuity of Care for HIV Patients in North Dakota

Data Quality and the Continuity of Care for HIV Patients in North Dakota. Krissie Guerard, MS Tracy Miller, MPH Becky Wahl. Where did we start?. eHARS – submits HIV surveillance data to CDC

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Data Quality and the Continuity of Care for HIV Patients in North Dakota

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  1. Data Quality and the Continuity of Care for HIV Patients in North Dakota Krissie Guerard, MS Tracy Miller, MPH Becky Wahl

  2. Where 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. Why 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. Why 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. What 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. Methods • HIV surveillance and Ryan White/ADAP have been incorporated into the STD model in Maven • All laboratory follow-up is incorporated into asingle 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 Maven

  8. Risk Package

  9. Lab Data

  10. Lab tab with HIV confirmation

  11. Lab Data

  12. Co-Morbid Infections • By clicking on client name you will receive a line list of other infections associated with this client.

  13. Co-Morbid Infections

  14. Linked Contacts

  15. Ryan White Services

  16. Provider Enrollment Package

  17. Results • 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. Improved Client Care? How? • Staff can spend more time on medication adherence and confirming laboratory results • Co-morbidities • Prevention for positives

  19. Lessons Learned? • 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. Contact Information 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

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