2024 Early Hearing Detection & Intervention Conference
March 17-19, 2024 • Denver, CO
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| Baby Flow through the EHDI System: An Examination of Data and Performance Measures
Baby Flow through the EHDI System: An Examination of Data and Performance Measures
The EHDI 1-3-6 model states that all infants should have their hearing screened by 1 month of age; all infants that do not pass their hearing screening should have an audiologic evaluation by 3 months of age; and all infants diagnosed with permanent hearing loss should be enrolled into early intervention services by 6 months of age. Each EHDI jurisdiction in the United States uses these guidelines to track its progress towards reaching the 1-3-6 benchmarks. However, there have been different denominators used to calculate the 1-3-6 performance measures. This presentation will provide insight on the differences in denominators being used for these performance measures and how to interpret what each of the calculations represent. For each of the 1-3-6 measures, we will examine two different denominators being used across EHDI systems and organizations:
- Screened by 1 month: All infants born reported by EHDI-IS versus All infants screened
- Diagnosed by 3 months: All infants not passing hearing screening versus All infants receiving an audiologic evaluation
- Enrolled in early intervention by 6 months: All infants with a permanent hearing loss diagnosis versus All infants enrolled into early intervention services
From a public health perspective, it is important to follow the entire population through the EHDI process, therefore, using the first denominator in each category above ensures all infants eligible to move to the next step are captured, while the latter denominators focus more on timeliness of services received. Both formulas provide relevant information, but it is important that EHDI systems and organizations are aware of the differences between the calculations so that the numbers can be interpreted appropriately. By only using the timeliness measures to monitor program performance, infants lost to documentation or lost to follow-up (LTD/LFU) are not captured when discussing the EHDI system performance. Infants are categorized as LTD/LFU when the following reasons are selected for not reaching the next step in the EHDI process: families contacted but not responsive, unable to contact the family, or unknown. By understanding this population of infants and their barriers to care, EHDI systems can make programmatic changes to target this population to improve and strengthen their follow-up efforts.
We will use data collected from CDC’s annual Hearing Screening and Follow Up Survey (HSFS) in 2021 to demonstrate the outcomes of using different denominators. Additionally, we will use iEHDI (patient level data) sociodemographic data to describe the LTD/LFU infants at each stage of the EHDI process to help demonstrate how EHDI programs can gain insight on the population of infants not receiving their recommended services. The following learning objectives will be addressed during this presentation:
1. Participants will be able to describe the differences in the denominators being used at the 1-3-6 benchmarks.
2. Participants will be able to interpret the different calculations generated with the denominators.
3. Participants will be able to analyze their LTD/LFU infants at each stage of the EHDI process.
- Participants will be able to describe the differences in the denominators being used at the 1-3-6 benchmarks.
- Participants will be able to interpret the different calculations generated with the denominators.
- Participants will be able to analyze their LTD/LFU infants at each stage of the EHDI process.
Presentation:
3478265_16198CoreyLipton.pdf
Handouts:
Handout is not Available
Transcripts:
3478265_16198CoreyLipton.docx
Presenters/Authors
Corey Lipton
(Primary Presenter,Co-Presenter), Centers for Disease Control and Prevention, OOD1@CDC.GOV;
Corey Lipton is a Health Scientist on the CDC EHDI Team. She leads data management on the ODDACE project and assists with iEHDI data management and technical assistance. She received her Master of Public Health (MPH) degree with a concentration in biostatistics in May 2019 from Georgia State University. Prior to joining the EHDI team, she worked with Booz Allen Hamilton as a Health Statistician and as a fellow with the CDC. Her expertise involves data management, analysis, visualization, and communication of analysis findings.
ASHA DISCLOSURE:
Financial -
No relevant financial relationship exists.
Nonfinancial -
No relevant nonfinancial relationship exists.
AAA DISCLOSURE:
Financial -
No relevant financial relationship exists.
Nonfinancial -
No relevant nonfinancial relationship exists.
Erika Odom
(Co-Presenter), Centers for Disease Control and Prevention, iyo7@cdc.gov;
CDR Erika Odom (Commander, United States Public Health Service) has spent 15 years shaping science and programs using a health equity perspective grounded in biopsychosocial frameworks in human development. She received her PhD in Applied Developmental Sciences from the University of North Carolina at Chapel Hill in 2008 and completed a post-doctoral fellowship at the Frank Porter Graham Child Development Institute, conducting research on maternal mental health and the association with various developmental outcomes for young children. CDR Odom joined the Centers for Disease Control and Prevention (CDC) in 2010 as an Epidemic Intelligence Service Officer where her work focused on promoting supportive environments for women who choose to breastfeed. She then went on the serve with the National Center for Birth Defects and Developmental Disabilities, honing skills in registry data collection, evaluation and translational research within populations living with blood disorders and that have been systematically marginalized in healthcare. From 2014-2023, CDR Odom served as an Epidemiologist in the Division for Heart Disease and Stroke Prevention. There she excelled in program management and developed subject matter expertise focused on the pre-hospital environment and improving the stroke and cardiac chain of survival. In her most recent tenure, she serves as the Team Lead for the Early Hearing Detection and Intervention Program, working with a team of passionate public health professionals, shaping the future of early hearing surveillance and data quality improvement.
ASHA DISCLOSURE:
Financial -
No relevant financial relationship exists.
Nonfinancial -
No relevant nonfinancial relationship exists.
AAA DISCLOSURE:
Financial -
Financial relationship with Centers for Disease Control and Prevention .
Nature: Employer and EHDI funder.
Nonfinancial -
No relevant nonfinancial relationship exists.