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Related Experiment Video

Updated: Jan 2, 2026

Behavioral Assessment of Hearing in 2 to 4 Year-old Children: A Two-interval, Observer-based Procedure Using Conditioned Play-based Responses

Behavioral Assessment of Hearing in 2 to 4 Year-old Children: A Two-interval, Observer-based Procedure Using Conditioned Play-based Responses

Published on: January 23, 2017

Restructuring Data Reported from Jurisdictional Early Hearing Detection and Intervention (EHDI) Programs: A Pilot

Suhana Alam¹, Winnie Chung¹, Xidong Deng¹

¹National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, GA.

Journal of Early Hearing Detection and Intervention

|December 10, 2019

Summary

This summary is machine-generated.

Reporting individual-level data on the Early Hearing Detection and Intervention (EHDI) program is feasible and beneficial. This approach allows for more detailed analysis and targeted support compared to aggregate data.

Keywords:

Early hearing detection and intervention newborn hearing screen surveillance and tracking

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Area of Science:

Public Health Surveillance
Data Management in Healthcare
Pediatric Audiology

Background:

Jurisdictional Early Hearing Detection and Intervention (EHDI) programs report data to the Centers for Disease Control and Prevention (CDC).
Current reporting often relies on aggregate data, limiting in-depth analysis.
Assessing the utility of individual-level data reporting is crucial for improving surveillance.

Purpose of the Study:

To evaluate the feasibility, benefits, and challenges of individual-level versus aggregate data reporting by EHDI programs to the CDC.
To compare the analytical insights gained from individual-level data versus aggregate survey data.

Main Methods:

Descriptive statistics were employed using data from three jurisdictions reported to the CDC in 2011.
Comparisons were made to determine the insights obtainable from individual-level data against CDC's aggregate survey data.

Main Results:

Individual-level data offered a comprehensive view of the population served, services rendered, and inter-jurisdictional variations in data practices.
Identified challenges included inconsistencies in data standardization, collection, reporting procedures, and follow-up service protocols.

Conclusions:

Individual-level data enabled the CDC to conduct detailed statistical analyses, understand jurisdictional EHDI processes, and identify data challenges.
The CDC could provide more tailored technical assistance based on individual-level data insights.
Individual-level data reporting is feasible and advantageous for both the CDC and EHDI programs, enhancing data collection, tracking, and surveillance.