2024 Early Hearing Detection & Intervention Conference
March 17-19, 2024 • Denver, CO
| Positive Predictive Value of Georgia’s Part C Database to Identify and Connect Children Diagnosed with Hearing Loss to Early Intervention Services
Positive Predictive Value of Georgia’s Part C Database to Identify and Connect Children Diagnosed with Hearing Loss to Early Intervention Services
Background: Children diagnosed with hearing loss (HL) and reported to Georgia’s (GA’s) EHDI program are referred to GA’s Part C program, Babies Can’t Wait (BCW), for early intervention. The EHDI and BCW programs maintain separate databases that are not linked, resulting in loss of HL diagnoses between both. The State Electronic Notifiable Disease Surveillance System (SendSS) is GA’s reporting system for all notifiable diseases, including permanent HL under age 5 reported to EHDI. SendSS is therefore GA’s gold standard for reportable HL diagnoses. Methods: We calculated the positive predictive value (PPV) of HL diagnoses reported in BCW’s database, Babies Information and Billing System (BIBS), to determine the proportion of children with a HL diagnosis in both BIBS and SendSS. Using SQL, we queried BIBS for records of children born from 2019-2022 with one of these ICD-10-CM diagnosis codes for HL: H90 (conductive and sensorineural HL), H91 (other and unspecified HL), and Q16-Q17 (congenital malformations of the ear). We output these records into an Excel spreadsheet and looked up each child in SendSS to determine if a HL diagnosis was documented. We identified children with a HL diagnosis in both BIBS and SendSS as true positives (TP), and children with a HL diagnosis in BIBS but not in SendSS as false positives (FP). We calculated PPV as TP/(TP+FP). Results: From 2019-2022, 502 children with a HL diagnosis were identified in BIBS, of whom 450 also have documentation of a HL diagnosis in SendSS (PPV= 89.6%). Annual PPVs were 90.1% (2019), 82.8% (2020), 91.6% (2021), and 95.6% (2022). Conclusions: When compared to the gold standard, BIBS has a high PPV of HL diagnoses. A feedback loop should be established between BCW and EHDI to follow up on children referred to BCW with a HL diagnosis but were not reported to EHDI.
- Describe how children identified with hearing loss are referred to Part C early intervention services.
- Discuss how to calculate the positive predictive value of hearing loss diagnoses in a Part C database using an EHDI database as the gold standard to identify true positives.
- Discuss how to establish a feedback loop to follow up on children diagnosed with hearing loss who were referred to Part C but were not reported to EHDI.
Presentation:
3478265_16436MichaelLo.pdf
Handouts:
Handout is not Available
Transcripts:
CART transcripts are NOT YET available, but will be posted shortly after the conference
Presenters/Authors
Michael Lo
(Primary Presenter,Author), Georgia Department of Public Health, michael.lo@dph.ga.gov;
Michael Lo is a Newborn Surveillance Epidemiologist supporting the EHDI Program at the Georgia Department of Public Health. Prior to working in EHDI, he was an Injury Epidemiologist at the Florida Department of Health and an Injury Epidemiologist Contractor at the U.S. Army Aeromedical Research Laboratory, where he collaborated with research audiologists on a retrospective cohort study of hearing loss and tinnitus in military personnel with deployment-related mild traumatic brain injury. He received a B.A. in Biology from Johns Hopkins University and an M.S.P.H. in Epidemiology from the University of South Florida.
ASHA DISCLOSURE:
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• Receives Grants for Employment from Centers for Disease Control and Prevention (CDC).
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No relevant nonfinancial relationship exists.
AAA DISCLOSURE:
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Financial relationship with Centers for Disease Control and Prevention (CDC).
Nature: The primary author/presenter is supported by a grant/cooperative agreement with CDC.
Nonfinancial -
No relevant nonfinancial relationship exists.
Brandt Culpepper
(Co-Author), Georgia Department of Public Health , brandt.culpepper@dph.ga.gov;
Dr. Brandt Culpepper is the Early Hearing Detection and Intervention Program Team Lead at the Georgia Department of Public Health. She received her B.S. and M.S. degrees from the University of Georgia and her Ph.D. from the University of Washington. She has more than 30 years of experience as an audiologist with interest in infant and pediatric audiology. She has worked in public health, clinical, medical, and academic environments. Dr. Culpepper has no financial interests in corporate organizations with products that may be relevant to presentation.
ASHA DISCLOSURE:
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AAA DISCLOSURE:
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Ankit Sutaria
(Co-Author), Georgia Department of Public Health, ankit.sutaria@dph.ga.gov;
Dr. Ankit Sutaria is a Newborn Surveillance Epidemiologist and the Newborn Surveillance Team Lead at the Georgia Department of Public Health.
ASHA DISCLOSURE:
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AAA DISCLOSURE:
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Tonia Ruddock
(Co-Author), Georgia Department of Public Health, tonia.ruddock@dph.ga.gov;
Tonia Ruddock is the Director of Maternal and Child Health Epidemiology at the Georgia Department of Public Health.
ASHA DISCLOSURE:
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AAA DISCLOSURE:
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Cherie Drenzek
(Co-Author), Georgia Department of Public Health, cherie.drenzek@dph.ga.gov;
Dr. Cherie L. Drenzek is the State Epidemiologist and Chief Science Officer at the Georgia Department of Public Health.
ASHA DISCLOSURE:
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AAA DISCLOSURE:
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