Patricia L Purcell, Kathleen Cy Sie, Todd C Edwards, Debra Lochner Doyle, Karin Neidt
{"title":"Identification of oral clefts as a risk factor for hearing loss during newborn hearing screening.","authors":"Patricia L Purcell, Kathleen Cy Sie, Todd C Edwards, Debra Lochner Doyle, Karin Neidt","doi":"","DOIUrl":"","url":null,"abstract":"<p><strong>Objective: </strong>This study assessed whether children with oral clefts are appropriately classified as at-risk for hearing loss at the time of newborn hearing screening and describes their screening and diagnostic results.</p><p><strong>Design: </strong>Birth certificates were used to identify children with cleft lip and palate or isolated cleft palate born in Washington State from 2008-2013. These were cross-referenced with the state's Early Hearing Detection, Diagnosis and Intervention (EHDDI) database. Multivariate logistic regression was used to examine associations.</p><p><strong>Results: </strong>Birth records identified 235 children with cleft lip and palate and 116 with isolated cleft palate. Six children were listed as having both diagnoses. Only 138 (39%) of these children were designated as having a craniofacial anomaly in the EHDDI database. Children who were misclassified were less likely to have referred on initial hearing screening, OR 0.3, 95% CI [0.2, 0.5]. Misclassification of risk factor status was also associated with delayed hearing screening past 30 days of age or unknown age at screening, OR 4.4, 95% CI [1.5, 13.3], p-value 0.008. Of 50 children with diagnostic results; 25 (50%) had hearing loss: 18 conductive, 2 mixed, and 5 unspecified.</p><p><strong>Conclusion: </strong>A majority of children with oral clefts were misclassified regarding risk factor for hearing loss in the EHDDI database.</p>","PeriodicalId":91737,"journal":{"name":"Journal of early hearing detection and intervention","volume":"3 1","pages":"21-28"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6002157/pdf/nihms947881.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36230803","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Suhana Alam, Winnie Chung, Xidong Deng, Tammy O'Hollearn, Jim Beavers, Rebekah F Cunningham, Alyssa K Rex, ThuyQuynh N Do
{"title":"Restructuring Data Reported from Jurisdictional Early Hearing Detection and Intervention (EHDI) Programs: A Pilot Study.","authors":"Suhana Alam, Winnie Chung, Xidong Deng, Tammy O'Hollearn, Jim Beavers, Rebekah F Cunningham, Alyssa K Rex, ThuyQuynh N Do","doi":"10.26077/ggr8-kn56","DOIUrl":"10.26077/ggr8-kn56","url":null,"abstract":"<p><strong>Objective: </strong>To assess the feasibility, benefits, and challenges surrounding individual-level versus aggregate data reporting by jurisdictional EHDI programs to the Centers for Disease Control and Prevention (CDC).</p><p><strong>Method: </strong>Using data reported to CDC by three jurisdictions in 2011, descriptive statistics were used to assess the feasibility of collecting and reporting individual-level data. Comparisons were made on what can be learned from individual-level data as opposed to CDC's aggregate survey data.</p><p><strong>Results: </strong>Individual-level data provided a detailed overview of the population served, services received, and variations across jurisdictions in data collection, reporting, and quality monitoring practices. Several challenges and areas needing improvement were identified: variations in (1) data standardization; (2) data collection and reporting procedures; and (3) protocols for recommended follow-up services.</p><p><strong>Conclusions: </strong>Using individual-level data, CDC was able to perform in-depth statistical analyses and learn more about each jurisdiction's population, their EHDI process, and challenges to data collection, tracking, and surveillance efforts. As a result, CDC was able to provide more targeted technical assistance. All of the above would not be feasible using aggregate survey data. The pilot study demonstrated that individual-level data reporting to CDC is feasible and offers many opportunities for both CDC and jurisdictional EHDI programs.</p>","PeriodicalId":91737,"journal":{"name":"Journal of early hearing detection and intervention","volume":"3 1 1","pages":"57-66"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6896994/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69257277","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Suhana Alam, Ashley Satterfield, Craig A Mason, Xidong Deng
{"title":"Progress in Standardization of Reporting and Analysis of Data from Early Hearing Detection and Intervention (EHDI) Programs.","authors":"Suhana Alam, Ashley Satterfield, Craig A Mason, Xidong Deng","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Congenital hearing loss affects one to three of every 1,000 live born infants. If left undetected, it may negatively impact children through delayed speech and language development. To help avoid developmental delays and ensure that deaf or hard of hearing (DHH) infants are identified and receiving services as early as possible, complete and accurate data are crucial. Despite substantial progress made over the years, some children are still delayed in identification and/or lost to the early hearing detection and intervention (EHDI) surveillance and tracking systems. Lack of standardization in data reporting contributes to this issue. This article discusses reasons for lack of standardization in data reporting and gives suggestions for how the situation could be improved.</p>","PeriodicalId":91737,"journal":{"name":"Journal of early hearing detection and intervention","volume":"1 2","pages":"2-7"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5102258/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144182306","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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