The purpose of this study was to describe private insurance reimbursements for newborn hearing screening (NBHS) in the United States. Data from the MarketScan® Commercial Databases were used to estimate itemized reimbursements for privately insured infants born between January 1, 2013-December 31, 2014. Estimates were based on billed claims for hearing screening services during infancy among 456,407 infants with birth hospitalization claims (71,820 infants with inpatient NBHS and 1,104 infants with outpatient NBHS). The median reimbursement for NBHS was almost three times greater when performed in an inpatient setting than outpatient setting. Median reimbursement for NBHS performed in a hospital and billed as inpatient service was $148.00 (interquartile range [IQR] $99.52-$210.00) and $57.53 (IQR $34.40-$120.91) when billed as an outpatient service. The mean reimbursement for NBHS performed in an outpatient hospital setting was $136.48 (IQR $86.08-$220.15) and $41.60 (IQR $28.15-$57.52) for NBHS billed in conjunction with an office visit (e.g., performed in an audiology clinic, an audiologist's office, or physician's office during a routine check-up). No NBHS claims were filed for 84.3% of infants (384,587/456,407), as NBHS is generally included as a covered service bundled along with delivery and newborn care.
{"title":"Private Insurance Reimbursements for Newborn Hearing Screening in the United States, 2013-2014 Birth Cohort.","authors":"Thuy Quynh N Do, Winnie Chung, Scott D Grosse","doi":"10.26077/q64a-ce52","DOIUrl":"https://doi.org/10.26077/q64a-ce52","url":null,"abstract":"<p><p>The purpose of this study was to describe private insurance reimbursements for newborn hearing screening (NBHS) in the United States. Data from the MarketScan® Commercial Databases were used to estimate itemized reimbursements for privately insured infants born between January 1, 2013-December 31, 2014. Estimates were based on billed claims for hearing screening services during infancy among 456,407 infants with birth hospitalization claims (71,820 infants with inpatient NBHS and 1,104 infants with outpatient NBHS). The median reimbursement for NBHS was almost three times greater when performed in an inpatient setting than outpatient setting. Median reimbursement for NBHS performed in a hospital and billed as inpatient service was $148.00 (interquartile range [IQR] $99.52-$210.00) and $57.53 (IQR $34.40-$120.91) when billed as an outpatient service. The mean reimbursement for NBHS performed in an outpatient hospital setting was $136.48 (IQR $86.08-$220.15) and $41.60 (IQR $28.15-$57.52) for NBHS billed in conjunction with an office visit (e.g., performed in an audiology clinic, an audiologist's office, or physician's office during a routine check-up). No NBHS claims were filed for 84.3% of infants (384,587/456,407), as NBHS is generally included as a covered service bundled along with delivery and newborn care.</p>","PeriodicalId":91737,"journal":{"name":"Journal of early hearing detection and intervention","volume":"5 1","pages":"13-19"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8409481/pdf/nihms-1610676.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39382108","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}
Scope: Jurisdictional-based Early Hearing Detection and Intervention Information Systems (EHDI-IS) collect data on the hearing screening and follow-up status of infants across the United States. These systems serve as tools that assist EHDI programs' staff and partners in their tracking activities and provide a variety of data reports to help ensure that all children who are deaf/hard of hearing (DHH) are identified early and receive recommended intervention services. The quality and timeliness of the data collected with these systems are crucial to effectively meeting these goals.
Methodology: Forty-eight EHDI programs, funded by the Centers for Disease Control and Prevention (CDC), successfully evaluated the accuracy, completeness, uniqueness, and timeliness of the hearing screening data as well as the acceptability (i.e., willingness to report) of the EHDI-IS among data reporters (2013-2016). This article describes the evaluations conducted and presents the findings from these evaluation activities.
Conclusions: Most state EHDI programs are receiving newborn hearing screening results from hospitals and birthing facilities in a consistent way and data reporters are willing to report according to established protocols. However, additional efforts are needed to improve the accuracy and completeness of reported demographic data, results from infants transferred from other hospitals, and results from infants admitted to the Neonatal Intensive Care Unit.
{"title":"Evaluating Data Quality of Newborn Hearing Screening.","authors":"Maria C Sanchez-Gomez, Kelly Dundon, Xidong Deng","doi":"10.26077/fz0y-v617","DOIUrl":"https://doi.org/10.26077/fz0y-v617","url":null,"abstract":"<p><strong>Scope: </strong>Jurisdictional-based Early Hearing Detection and Intervention Information Systems (EHDI-IS) collect data on the hearing screening and follow-up status of infants across the United States. These systems serve as tools that assist EHDI programs' staff and partners in their tracking activities and provide a variety of data reports to help ensure that all children who are deaf/hard of hearing (DHH) are identified early and receive recommended intervention services. The quality and timeliness of the data collected with these systems are crucial to effectively meeting these goals.</p><p><strong>Methodology: </strong>Forty-eight EHDI programs, funded by the Centers for Disease Control and Prevention (CDC), successfully evaluated the accuracy, completeness, uniqueness, and timeliness of the hearing screening data as well as the acceptability (i.e., willingness to report) of the EHDI-IS among data reporters (2013-2016). This article describes the evaluations conducted and presents the findings from these evaluation activities.</p><p><strong>Conclusions: </strong>Most state EHDI programs are receiving newborn hearing screening results from hospitals and birthing facilities in a consistent way and data reporters are willing to report according to established protocols. However, additional efforts are needed to improve the accuracy and completeness of reported demographic data, results from infants transferred from other hospitals, and results from infants admitted to the Neonatal Intensive Care Unit.</p>","PeriodicalId":91737,"journal":{"name":"Journal of early hearing detection and intervention","volume":"4 3","pages":"26-32"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6945814/pdf/nihms-1063646.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"37519989","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}
Krishnaveni Subbiah, C. Mason, Marcus Gaffney, S. Grosse
The national EHDI 1-3-6 goals state that all infants should be screened for hearing loss before 1 month of age; with diagnostic testing before 3 months of age for those who do not pass screening; and early intervention (EI) services before 6 months of age for those with permanent hearing loss. This report updates previous summaries of progress on these goals by U.S. states and territories. Data are based on the Hearing Screening and Follow-up Survey (HSFS) conducted annually by the Centers for Disease Control and Prevention for the years 2006-2016. Trends were assessed using 3-year moving averages, with rates of newborns lost to follow-up or lost to documentation (LTF/D) also examined. During this period, the percentage of infants screened before one month increased from 85.1% to 95.3%, while the percentage receiving diagnostic testing before three months increased from 19.8% to 36.6%, and the percentage of infants identified with permanent hearing loss enrolled in early intervention (EI) before six months increased from 25.1% to 47.2%. Percentages of infants who ultimately received screening, diagnostic testing, and early intervention services - regardless of timing - were higher. During this period, LTF/D declined from 42.1% to 31.3% for diagnostic testing, and 39.4% to 20.3% for EI services. Diagnoses of hearing loss recorded increased from 0.9 to 1.7 per 1,000 infants screened, likely reflecting improved data.
{"title":"Progress in Documented Early Identification and Intervention for Deaf and Hard of Hearing Infants: CDC's Hearing Screening and Follow-up Survey, United States, 2006-2016.","authors":"Krishnaveni Subbiah, C. Mason, Marcus Gaffney, S. Grosse","doi":"10.26077/6SJ1-MW42","DOIUrl":"https://doi.org/10.26077/6SJ1-MW42","url":null,"abstract":"The national EHDI 1-3-6 goals state that all infants should be screened for hearing loss before 1 month of age; with diagnostic testing before 3 months of age for those who do not pass screening; and early intervention (EI) services before 6 months of age for those with permanent hearing loss. This report updates previous summaries of progress on these goals by U.S. states and territories. Data are based on the Hearing Screening and Follow-up Survey (HSFS) conducted annually by the Centers for Disease Control and Prevention for the years 2006-2016. Trends were assessed using 3-year moving averages, with rates of newborns lost to follow-up or lost to documentation (LTF/D) also examined. During this period, the percentage of infants screened before one month increased from 85.1% to 95.3%, while the percentage receiving diagnostic testing before three months increased from 19.8% to 36.6%, and the percentage of infants identified with permanent hearing loss enrolled in early intervention (EI) before six months increased from 25.1% to 47.2%. Percentages of infants who ultimately received screening, diagnostic testing, and early intervention services - regardless of timing - were higher. During this period, LTF/D declined from 42.1% to 31.3% for diagnostic testing, and 39.4% to 20.3% for EI services. Diagnoses of hearing loss recorded increased from 0.9 to 1.7 per 1,000 infants screened, likely reflecting improved data.","PeriodicalId":91737,"journal":{"name":"Journal of early hearing detection and intervention","volume":"3 2 1","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69257555","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Patricia L. Purcell, K. Sie, T. Edwards, D. L. Doyle, Karin Neidt
Objective 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. Design 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. Results 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. Conclusion A majority of children with oral clefts were misclassified regarding risk factor for hearing loss in the EHDDI database.
{"title":"Identification of oral clefts as a risk factor for hearing loss during newborn hearing screening.","authors":"Patricia L. Purcell, K. Sie, T. Edwards, D. L. Doyle, Karin Neidt","doi":"10.26077/JFKB-E455","DOIUrl":"https://doi.org/10.26077/JFKB-E455","url":null,"abstract":"Objective 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. Design 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. Results 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. Conclusion A majority of children with oral clefts were misclassified regarding risk factor for hearing loss in the EHDDI database.","PeriodicalId":91737,"journal":{"name":"Journal of early hearing detection and intervention","volume":"3 1 1","pages":"21-28"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69257971","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Patricia L Purcell, Kathleen Cy Sie, Todd C Edwards, Debra Lochner Doyle, Karin Neidt
Objective: 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.
Design: 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.
Results: 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.
Conclusion: A majority of children with oral clefts were misclassified regarding risk factor for hearing loss in the EHDDI database.
{"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, R. Cunningham, Alyssa K Rex, T. Do
Objective 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). Method 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. Results 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. Conclusions 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.
{"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, R. Cunningham, Alyssa K Rex, T. Do","doi":"10.26077/GGR8-KN56","DOIUrl":"https://doi.org/10.26077/GGR8-KN56","url":null,"abstract":"Objective 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). Method 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. Results 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. Conclusions 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.","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":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69257277","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}