2023 Early Hearing Detection & Intervention Conference
March 5-7, 2023 • Cincinnati, OH
3/10/2020 | 9:40 AM - 10:10 AM | How to Use EHDI Data Analysis to Inform Quality Improvement and Outreach Strategies | Chicago B
How to Use EHDI Data Analysis to Inform Quality Improvement and Outreach Strategies
The Iowa EHDI program employs the national 1-3-6 benchmarks to ensure newborn hearing screening no later than one month of age, diagnosis of hearing loss no later than three months of age, and enrollment into early intervention no later than six months of age. Over the last eight years, Iowa has maintained a screening rate of 98% and averaged 64.6% diagnosis by three months of age. Despite showing great progress in LFU/D, this number increased to 19.1% in 2017 from 14.2%.
Deeper data analysis was performed to identify factors that influence timeliness of diagnosis and LFU/D in Iowa. Factors such as rurality, age, gender, race, ethnicity, region, among others were examined to identify higher risk areas/populations. The results of this data analysis will be shared during this presentation. Exploring existing trends and disparities allows for targeted health service delivery, education and outreach. Data visualizations will be created to disseminate this data with providers to encourage change. Additionally, Iowa EHDI will evaluate ways education and outreach is performed to these high-risk populations.
- Identify data variables within EHDI programs to discover trends to inform quality improvement and program planning
- Explore trends and disparities within Iowa’s lost to follow up/documentation (LFU/D) (e.g. race/ethnicity, socioeconomic determinants of health)
- Identify a model that quantifies and predicts delayed diagnosis and LFU among infants in Iowa
Presentation:
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Handouts:
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Transcripts:
CART transcripts are NOT YET available, but will be posted shortly after the conference
Presenters/Authors
Tammy O'Hollearn
(), Iowa Department of Public Health, tammy.ohollearn@idph.iowa.gov;
Tammy O'Hollearn has been the EHDI Director for Iowa for the last 15 years. She has worked at the Iowa Department of Public Health since 2001. Ms. O’Hollearn provides administrative oversight, budget management, oversees surveillance of the newborn hearing screening and follow-up data base, as well facilitates the day-to-day management of activities to meet program goals. Ms. O’Hollearn works with many stakeholders in the community that assists Iowa EHDI in meeting program goals and strengthen the system of care for Deaf or hard-of-hearing infants. She directs data design, collection, program analyses and evaluation of the EHDI SOC. She serves on many state and national committees and facilitates the Iowa EHDI Advisory Committee. Tammy received a Link Associates Dorothy Schwartz Award in 1993 and ISHA Outstanding Service Award in 2009 and in 2016, the Iowa EHDI program received the EHDI Website of the Year Award.
ASHA DISCLOSURE:
Financial -
Nonfinancial -
Shalome Musignac-Jordan
(), Iowa Department of Public Health, shalome.musignac-jordan@idph.iowa.gov;
Shalome Musignac-Jordan serves as the follow-up coordinator for Iowa’s Early Hearing Detection and Intervention program. She has been in this role for the last five years. Ms. Musignac-Jordan is responsible for direct family and physician follow-up, training and use of the EHDI web based data system, developing partnerships with early intervention, medical home and audiological service providers; healthy equity, program evaluation and data analysis.
Prior to 2014, she was involved with care coordination for integrated health home, coordinated intake for early intervention, case management and parent education.
ASHA DISCLOSURE:
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Nonfinancial -
Amanda Hagerman
(), Iowa Department of Public Health, amanda.hagerman@idph.iowa.gov;
Amanda Hagerman is the Newborn Screening & Childhood Epidemiologist at Iowa Department of Public Health and performs geographic and socioeconomic analysis in the realms of EHDI (Early Hearing Detection & Intervention) and other child & adolescent health programs within her bureau. Amanda is passionate about data dissemination and identifying equitable solutions for low-resource populations within her community.
ASHA DISCLOSURE:
Financial -
No relevant financial relationship exist.
Nonfinancial -
No relevant nonfinancial relationship exist.