42nd National Immunization Conference (NIC): Using Idaho's Immunization Registry and 2006 CoCASA information for a Data Comaparison

Using Idaho's Immunization Registry and 2006 CoCASA information for a Data Comaparison

Thursday, March 20, 2008: 10:55 AM
Grand Salon C

Learning Objectives for this Presentation:
By the end of this presentation participants will be able to have an understanding of how Idaho is developing a data quality component of Immunization registry.

Background:
In 2007, Idaho created a test project comparing vaccination data collected at provider's 2006 annual AFIX visit entered into CoCASA to the data listed in Immunization Reminder Information System (IRIS). Some registry stakeholders had expressed concern regarding the quality of data in IRIS. Addressing these concerns was the purpose of this project.

Objectives:
The objective for the data quality audit was to identify the actual error rate in IRIS from a sample of providers.

Methods:
The audit looked at only vaccination dates and types. The comparison looked at several different types of errors; including vaccine not entered in IRIS, data difference and incorrect vaccine type.
Five private providers were selected from each of Idaho's seven health departments.

Results:
The original error rate was incorrectly calculated as 60.5% for the state. After review by a statistician and recalculation the state wide error rate for IRIS was 6.9%, with missing vaccinations the most common error.

Conclusions:
Based on the review of IRIS, the data quality errors were much lower then anticipated. Do to exceptional voluntary provider participation in the registry; IRIS had better data quality that the stakeholders originally anticipated. Based on the data quality audit, the Idaho Immunization Program has developed a registry data quality component including provider visits and a quarterly data quality audit. After consulting with a statistician, several changes have been made to the granularity of the data collected. By collecting the vaccination information at a fine detail, the results allow a wider programmatic usage.