16th ANNUAL EARLY HEARING DETECTION & INTERVENTION MEETING
February 26-28, 2017 • Atlanta, GA

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2/27/2017  |   11:05 AM - 11:35 AM   |  How to Support and Strengthen EHDI Information Systems: Tools EHDI Programs Can Use Today   |  Regency V

How to Support and Strengthen EHDI Information Systems: Tools EHDI Programs Can Use Today

Some infants are becoming loss to follow-up / loss to documentation (LFU/LTD) due to the lack of standardization in data reporting. This has made it difficult to monitor follow-up services and to accurately assess progress towards the Early Hearing Detection and Intervention (EHDI) 1-3-6 benchmarks. The CDC EHDI program is committed to helping state EHDI programs improve their ability to track infants in need of services. In 2015, the CDC organized the EHDI Functional Standard Working Group. This group created the EHDI Information System (EHDI-IS) Functional Standards, which provide guidance on the functional requirements for a complete EHDI-IS. CDC EHDI has developed a new tool that jurisdictions may use to assess their EHDI-IS in relation to the functional standards. This resource, referred to as the EHDI System Self-Evaluation Tool (ESSET), is intended to help jurisdictions identify the strengths and weaknesses of their EHDI-IS as well as prioritize system enhancements. CDC EHDI now has an eBook, How to Make Your EHDI Data System a Useful Tool: A practical guide to moving beyond the basics. This eBook was written to assist jurisdictions in developing, maintaining, and enhancing their EHDI-IS. EHDI-DASH is an interactive dash board to assess aggregated data from individual states. It allows states to compare their state HSFS data to national data, in addition to looking at trends over time. Annual Hearing Screening and Follow-up Survey (HSFS) was recently updated to capture more specific data on state screening protocol (1-stage, 2-stage, blended). During this session information about how to use these tools will be discussed. This presentation will also describe the updated the CDC Hearing Screening and Follow-up Survey, which is a tool that is used by CDC, jurisdictions, and others to highlight successes, help assess progress towards benchmarks, and provide technical assistance to jurisdictions.

  • Guidance on Functional Standards and new tool to assist jurisdictions in prioritizing the needs of their EHDI-IS
  • Introduction to new CDC EHDI tools and resources
  • Using CDC EHDI Resources

Presentation:
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Transcripts:
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Presenters/Authors

Xidong Deng (), CDC, htx4@cdc.gov;
Xidong Deng is a health scientist specialized in informatics with the EHDI team, National Centers for Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention. She has a Ph.D. degree in Computer Science and Engineering. Her interest in public health informatics include data integration, data standard, EHR, and system evaluation.

ASHA DISCLOSURE:

Financial -

Nonfinancial -


Eric Cahill (), Centers for Disease Control and Prevention, National Center on Birth Defects and Developmental Disabilities, ECahill@cdc.gov;
Eric Cahill, MS has been with the CDC EHDI Team since 2009. As a Health Scientist, Eric provides technical assistance to state EHDI programs and investigates public health related issues for the team. Before coming to CDC, Eric served in the EHDI program for the state of Kentucky. He originally trained as a clinical audiologist and has worked at Temple University Hospital, Temple University Children’s Medical Center and Children’s Hospital Boston.

ASHA DISCLOSURE:

Financial - No relevant financial relationship exist.

Nonfinancial - No relevant nonfinancial relationship exist.


Ashley Satterfield-Nash (), CDC, asatterfield@cdc.gov;
Dr. Ashley Nash, DrPH is a research associate on the Early Hearing Detection and Intervention Team in the Division of Human Development and Disability at the Centers for Disease Control and Prevention (CDC). Her work focus on project management and development activities.

ASHA DISCLOSURE:

Financial - No relevant financial relationship exist.

Nonfinancial - No relevant nonfinancial relationship exist.