24 research outputs found
Association Between Craniofacial Anomalies and Newborn Hearing Screening Fail Rate
Purpose: Increased knowledge of the prevalence of various craniofacial anomalies and their associated risks for hearing loss can help guide 1) development of evidence-based practice regarding detection and documentation of risk factors at birth and 2) health care professionals to make appropriate recommendations for follow-up testing and monitoring.
Method: Records were reviewed for 39,813 infants born at Adventist HealthCare Shady Grove Medical Center and White Oak Medical Center between January 1, 2014 and December 31, 2019 to determine the association between the presence of craniofacial anomalies and newborn hearing screening fail rates, as well as the prevalence of confirmed hearing loss for infants born with and without risk factors. Additionally, surveys were sent to state EHDI programs and newborn hearing screening program coordinators across the United States to determine how facilities document risk factors for hearing loss, specifically craniofacial anomalies.
Results: Study outcomes revealed four primary conclusions: (1) Infants with craniofacial anomalies are at greater risk for failing their newborn hearing screening; (2) There is a need to better delineate craniofacial anomaly risk factors into subgroups; (3) Follow-up audiologic evaluations are not warranted for infants with preauricular sinuses/tags and; (4) A universal protocol needs to be developed for recording risk factors for all infants.
Keywords: newborn hearing screening (NBHS), risk factors, craniofacial anomalies, hearing loss, Early Hearing Detection and Intervention (EHDI), Neonatal Intensive Care Unit (NICU
Same or Different:The Overlap Between Children With Auditory Processing Disorders and Children With Other Developmental Disorders: A Systematic Review
Objectives: Children diagnosed with auditory processing disorders (APD) experience difficulties in auditory functioning and with memory, attention, language, and reading tasks. However, it is not clear whether the behavioral characteristics of these children are distinctive from the behavioral characteristics of children diagnosed with a different developmental disorder, such as specific language impairment (SLI), dyslexia, attention-deficit hyperactivity disorder (ADHD), learning disorder (LD), or autism spectrum disorder. This study describes the performance of children diagnosed with APD, SLI, dyslexia, ADHD, and LD to different outcome measurements. The aim of this study was to determine (1) which characteristics of APD overlap with the characteristics of children with SLI, dyslexia, ADHD, LD, or autism spectrum disorder; and (2) if there are characteristics that distinguish children diagnosed with APD from children diagnosed with other developmental disorders. Design: A systematic review. Six electronic databases (Pubmed, CINAHL, Eric, PsychINFO, Communication & Mass Media Complete, and EMBASE) were searched to find peer-reviewed studies from 1954 to May 2015. The authors included studies reporting behaviors and performance of children with (suspected) APD and children diagnosed with a different developmental disorder (SLI, Dyslexia, ADHD, and LD). Two researchers identified and screened the studies independently. Methodological quality of the included studies was assessed with the American Speech-Language-Hearing Association's levels-of-evidence scheme. Results: In total, 13 studies of which the methodological quality was moderate were included in this systematic review. In five studies, the performance of children diagnosed with APD was compared with the performance of children diagnosed with SLI: in two with children diagnosed with dyslexia, one with children diagnosed with ADHD, and in another one with children diagnosed with LD. Ten of the studies included children who met the criteria for more than one diagnosis. In four studies, there was a comparison made between the performances of children with comorbid disorders. There were no studies found in which the performance of children diagnosed with APD was compared with the performance of children diagnosed with autism spectrum disorder. Children diagnosed with APD broadly share the same characteristics as children diagnosed with other developmental disorders, with only minor differences between them. Differences were determined with the auditory and visual Duration Pattern Test, the Children's Auditory Processing Performance Scale questionnaire, and the subtests of the Listening in Spatialized Noise-Sentences test, in which noise is spatially separated from target sentences. However, these differences are not consistent between studies and are not found in comparison to all groups of children with other developmental disorders. Conclusions: Children diagnosed with APD perform equally to children diagnosed with SLI, dyslexia, ADHD, and LD on tests of intelligence, memory or attention, and language tests. Only small differences between groups were found for sensory and perceptual functioning tasks (auditory and visual). In addition, children diagnosed with dyslexia performed poorer in reading tasks compared with children diagnosed with APD. The result is possibly confounded by poor quality of the research studies and the low quality of the used outcome measures. More research with higher scientific rigor is required to better understand the differences and similarities in children with various neurodevelopmental disorders
The SCAN-C in testing for auditory processing disorder in a sample of British children.
The SCAN-C is a test for auditory processing disorders in children developed in the USA. There are concerns that the SCAN-C may over-diagnose auditory processing disorders in UK children. There are also questions concerning the impact of language level and interpretation of SCAN-C results. SCAN-C results from 99 Oxfordshire school children aged 6 to 10 were compared to US-based normative data. Across all age bands, the UK sample scored significantly worse on two subtests: the filtered words (FW) and auditory figure-ground (AFG) sections as well as on the composite score. Differences in performance were largely due to accent effects. Applying US norms to UK children's performance results in a high rate of over-identification of listening difficulties. However, we show that US norms can be used provided SCAN-C scores for children in the UK are adjusted by adding a constant. Using factor analysis, SCAN-C subtests mapped onto two factors; FW and AFG onto a 'monaural low-redundancy degradation' factor, and CW and CS onto a 'binaural separation/competition' factor. Implications for use of the SCAN-C with UK children are discussed