Wanted A National Standard for Early Hearing Detection and Intervention Outcomes Data Research Article
Research Article  |   June 01, 2003
Author Affiliations & Notes
  • Thomas M. Helfer
    U.S. Army Center for Health Promotion and Preventive Medicine, P.O. Box 1007, Edgewood, MD 21040
  • Robyn B. Lee
    Robyn B. Lee and Associates, LLC, Fawn Grove, PA
  • Dorina C. Maris
    Naval Medical Information Management Center, Bethesda, MD
  • Anne R. Shields
    Overland Park, KS
Article Information
Hearing Disorders / Special Populations / Early Identification & Intervention / Research and Technology / Research Articles
Research Article   |   June 01, 2003
American Journal of Audiology, June 2003, Vol. 12, 23-30. doi:10.1044/1059-0889(2003/006)
History: Received July 3, 2002 , Accepted April 7, 2003
American Journal of Audiology, June 2003, Vol. 12, 23-30. doi:10.1044/1059-0889(2003/006)
History: Received July 3, 2002; Accepted April 7, 2003

The Joint Committee on Infant Hearing (JCIH, 2000) has presented principles and guidelines for universal newborn hearing screening and early hearing detection and intervention (EHDI). The guidelines describe the need for a national data set for early hearing detection and intervention. The guidelines fail to provide the specific constructs for such a data set. To the authors’ knowledge, no nationally proposed uniform data structure exists to capture EHDI services’ outcome metrics.

This article presents a proposed newborn hearing screening and EHDI data model. This model was developed to record EHDI outcomes data from Military Health System birthing centers. The data are to be collected for tracking implementation of Healthy People 2010 goals related to newborn hearing screening and EHDI programs within the Military Health System.

In this article, the authors use the T. Helfer, A. Shields, and K. Gates (2000) methods to model a uniform structure for collection of newborn hearing screening and EHDI data. They also discuss expansion of the data model for application to public health reporting of EHDI outcomes in the civilian sector to include integration of Census Bureau demographic data and geographic information system data to further enhance the research value of these EHDI outcomes data. They offer the data model with the intention of supporting national research efforts for studying the efficacy of EHDI programs and to help establish a national evidence-based practice database for such programs.

The opinions or assertions contained herein are the views of the authors and are not to be construed as official or as reflecting the views of the Department of the Army, Department of the Navy, or the Department of Defense.
The authors acknowledge Lt. Comdr. Kelly Paul, USN; Maj. Joe Narrigan, USAF; Lt. Col. Jeanne Yoder, USAF; and Ms. Alicia Garza, USAF Civilian, for EHDI “Superbill” development work in progress for best capture of EHDI data within the Military Health System based on this data model. The EHDI Superbill will be published at a later date.
The authors also acknowledge Ms. Nikki Jordan of the Population Health Program of the Directorate of Epidemiology and Disease Surveillance at U.S. Army Center for Health Promotion and Preventive Medicine (USACHPPM) and Ms. Joyce Kopatch of the Visual Information activity, also at USACHPPM. Ms. Jordan is an epidemiologist, currently providing outcomes data management and analysis support for the Army’s Hearing Conservation Program and a nascent Military Health System EHDI data registry. Ms. Kopatch is a graphics artist who helped to significantly improve the appearance of the figures in this article.
The first author also acknowledges the director and staff of the National Center for Health Statistics and collaborative multi-disciplinary research teams headed by Dr. Tilahun Adera at the Preventive Medicine departments at the Uniformed Services University of Health Sciences and the Medical College of Virginia. It has been these agencies’ epidemiological research since 1992 that has largely influenced this audiologist’s thinking about the role of epidemiological analysis of clinical practice statistics and integration of Census Bureau demographics and geographic information system capability in improving preventive health care system performance through evidence-based practice.
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