| Title | Effectiveness of a TEOAE-based screening program. Can a patient-tracking system effectively be organized using modern information technology and central data management? |
| Author(s) | Delb W, Merkel D, Pilorget K, Schmitt J, Plinkert PK |
| Source | Eur Arch Otorhinolaryngol., Vol. 261, No. 4, Pages 191-196 |
| Publication Date | Apr. 2004 |
| Abstract | It has been shown that detecting and treating children with hearing loss at an early age will improve their speech and language development. The implementation of universal hearing screening programs is therefore one of the major goals in pediatric audiology. One problem of present screening programs is high lost to follow-up rates. The aim of this paper was to evaluate the effectiveness of a patient tracking system based on central data management and data transmission via the internet. The screening program was organized as a TEOAE (transitory evoked otoacoustic emissions)-based three-stage procedure and covered a complete German federal state (Saarland). The measurements of the first stage took place in well-baby nurseries (WBNs) as well as neonatal intensive care units (NICUs). Measurements of the second stage were performed by pediatricians and ENT physicians on an outpatient basis. The third stage comprised diagnostic ABR (auditory brainstem response) measurements performed by pediatric audiologists. Using a central data management system we were able to identify and follow every child not screened or with negative results. The overall coverage in the first stage was 93% of all newborns. A screening result of the second stage could be obtained for 90% of the children. Four out of 3,830 children screened turned out to have a relevant hearing loss and were fitted with hearing aids. A TEOAE-based newborn hearing screening system can be organized effectively. Central data management as well as interdisciplinary organization of the follow-up are important prerequisites for the success of a hearing screening program. A follow-up system as proposed in this paper can also be implemented in AABR (automated auditory brainstem response)-based programs. |