2022 Early Hearing Detection & Intervention Virtual Conference
March 13 - 15, 2022
3/19/2018 | 2:15 PM - 3:15 PM | Integrating Ohio Early Hearing Detection and Intervention (EHDI) with State-Level Data Systems to Assess Longitudinal Outcomes for Children who are Deaf or Hard of Hearing | Quartz A/B
Integrating Ohio Early Hearing Detection and Intervention (EHDI) with State-Level Data Systems to Assess Longitudinal Outcomes for Children who are Deaf or Hard of Hearing
Background: Hearing loss influences all aspects of a child’s language development. Annually, approximately 200 infants are identified with hearing loss in Ohio, with over 60% enrolled in Part C Early Intervention (EI). The overall goal was to assess developmental outcomes of children who are deaf or hard of hearing (D/HH) identified through the Ohio EHDI program by linking disparate data systems: hearing screening, EI, and educational records.
Methods: Partnering with stakeholders at the Ohio Departments of Health, Developmental Disabilities, and Education, we created a comprehensive database linking hearing screening (HiTrack), EI (Early Track) and educational records. Infants identified with a permanent hearing loss born between January 2008 and December 2014 were included. A deterministic, two-staged algorithm linked HiTrack and Early Track data using information from infants (gender, names, birthdates) and mothers (names, birthdates). Early Track infants were linked to education data using an assigned school-based identifier.
Findings: Within HiTrack, we identified 1,746 D/HH infants. Data on 1,215 infants (69.6%) linked to Early Track; 345 matched on all personal identifiers and 822 matched on all identifiers except mother’s birthdate, which was missing frequently in HiTrack. The remaining 48 matched only on infant’s information were manually verified. There were 502 (41.3%) infants who were linked to education data. Preschool data were available for 447 children, kindergarten data were available for 424, and 163 had data from first/second grade. Among those with educational data, 63% tested as kindergarten ready and 35% had social-emotional concerns; about 17% had no educational label.
Conclusions: Using partnerships and innovative data linkages across three state systems, this study can serve as a model not only for other state EHDI programs, but also for the broader population of children with disabilities. Additionally, this work addressed relevant and important topics regarding short- and long-term outcomes of EI services.
- 1) Recognize strategies to link data across different data systems
- 2) Understand the importance of inter-agency collaboration for improved data sharing
- 3) Understand the benefits from data linkage from Part C to Part B in understanding long-term developmental outcomes in children who are D/HH
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Presenters/Authors
Jareen Meinzen-Derr
(), Cincinnati Children's Hospital Medical Center, jareen.meinzen-derr@cchmc.org;
Dr. Meinzen-Derr is quantitative epidemiologist at the Cincinnati Children's Hospital Medical Center. She has focused her research on outcomes of children who are deaf or hard of hearing, and specifically those who have additional developmental disabilities.
ASHA DISCLOSURE:
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Alonzo T Folger
(), Cincinnati Children's Hospital Medical Center, Alonzo.Folger@cchmc.org;
Alonzo T. Folger, Ph.D. is an Assistant Professor of Pediatrics with the Division of Biostatistics and Epidemiology at Cincinnati Children’s Hospital Medical Center, University of Cincinnati College of Medicine, and Director of Evaluation and Epidemiology, Every Child Succeeds. . Dr. Folger’s research interests include investigating the impact of maternal trauma and adversity on offspring development, and includes the mediational role of epigenetics; determining the factors that influence engagement in home visiting programs; and the use of administrative datasets to estimate the causal effects of home visiting services on child health and development outcomes.
ASHA DISCLOSURE:
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Mallory Minter-Mohr
(), Bureau of Maternal, Child and Family Health, Mallory.Minter-Mohr@odh.ohio.gov;
Mallory Minter-Mohr is a Researcher for the Ohio Department of Health with the Bureau of Maternal, Child and Family Health. She provides data support to the Infant Hearing Program, as well as Children’s Hearing & Vision, Adolescent Youth Surveys, and Birth Defects.
ASHA DISCLOSURE:
Financial -
No relevant financial relationship exist.
Nonfinancial -
No relevant nonfinancial relationship exist.
Allyson Van Horn
(), The Ohio Department of Health, Allyson.VanHorn@odh.ohio.gov;
Allyson Van Horn, MPH, MEd is the State of Ohio Early Hearing Detection and Intervention Coordinator and manages the Infant Hearing Program, Children’s Hearing Program, Children’s Vision Program and the Save Our Sight Program. Allyson has over 10 years’ experience with statewide programs that focus on early detection, diagnosis and treatment of children with hearing and vision problems. She has given many presentations on the importance of evidenced-based screening practices in the primary care, childcare and school settings. Allyson also participates on various statewide initiatives to improve hearing and vision screening, diagnostic and treatment rates.
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Nathan DeDino
(), Department of Developmental Disabilities, nathan.dedino@dodd.ohio.gov;
Nathan DeDino is at the Department of Developmental Disabilities
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Wendy Grove
(), Ohio Department of Education, wendy.grove@education.ohio.gov;
Dr. Grove is the Director, for the Office for Early Learning and School Readiness
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Susan Wiley
(), Cincinnati Children's Hospital Medical Center, susan.wiley@cchmc.org;
Dr. Susan Wiley is a developmental pediatrician with extensive expertise in children who are deaf/hard of hearing. She has many years of experience serving children with multiple disabilities. Dr Wiley provides leadership and guidance to the National American Academy of Pediatrics, the Ohio Department of Health Early Hearing Detection and Intervention Program, the Ohio Center for Deaf-Blind Education, and the Outreach Center for Deafness and Blindness in the Ohio Center for Low Incidence.
ASHA DISCLOSURE:
Financial -
No relevant financial relationship exist.
Nonfinancial -
No relevant nonfinancial relationship exist.