State birth defects surveillance programs directory

Teratology ◽  
2001 ◽  
Vol 64 (S1) ◽  
pp. S47-S116 ◽  
Keyword(s):  
Birth Defects ◽  
Surveillance Programs

scholarly journals Value of sharing and networking among birth defects surveillance programs: an ICBDSR perspective

2018 ◽  
Vol 9 (4) ◽  
pp. 411-415 ◽  
Author(s):  
Eva Bermejo-Sánchez ◽  
Lorenzo D. Botto ◽  
Marcia L. Feldkamp ◽  
Boris Groisman ◽  
Pierpaolo Mastroiacovo
Keyword(s):  
Birth Defects ◽  
Surveillance Programs

scholarly journals Using birth defects surveillance programs for population‐based estimation of sibling recurrence risks

2018 ◽  
Vol 110 (19) ◽  
pp. 1383-1387
Author(s):  
A.J. Agopian ◽  
Jason L. Salemi ◽  
Jean Paul Tanner ◽  
Russell S. Kirby
Keyword(s):  
Birth Defects ◽  
Population Based ◽  
Surveillance Programs

scholarly journals Identifying Algorithms to Improve the Accuracy of Unverified Diagnosis Codes for Birth Defects

2018 ◽  
Vol 133 (3) ◽  
pp. 303-310 ◽  
Author(s):  
Jason L. Salemi ◽  
Rachel E. Rutkowski ◽  
Jean Paul Tanner ◽  
Jennifer L. Matas ◽  
Russell S. Kirby
Keyword(s):  
Medical Record ◽  
Birth Defects ◽  
Birth Defect ◽  
Case Definition ◽  
Medical Record Review ◽  
Passive Surveillance ◽  
Diagnosis Codes ◽  
Surveillance Programs ◽  
Data Source ◽  
Record Review

Objectives: We identified algorithms to improve the accuracy of passive surveillance programs for birth defects that rely on administrative diagnosis codes for case ascertainment and in situations where case confirmation via medical record review is not possible or is resource prohibitive. Methods: We linked data from the 2009-2011 Florida Birth Defects Registry, a statewide, multisource, passive surveillance program, to an enhanced surveillance database with selected cases confirmed through medical record review. For each of 13 birth defects, we calculated the positive predictive value (PPV) to compare the accuracy of 4 algorithms that varied case definitions based on the number of diagnoses, medical encounters, and data sources in which the birth defect was identified. We also assessed the degree to which accuracy-improving algorithms would affect the Florida Birth Defects Registry’s completeness of ascertainment. Results: The PPV generated by using the original Florida Birth Defects Registry case definition (ie, suspected cases confirmed by medical record review) was 94.2%. More restrictive case definition algorithms increased the PPV to between 97.5% (identified by 1 or more codes/encounters in 1 data source) and 99.2% (identified in >1 data source). Although PPVs varied by birth defect, alternative algorithms increased accuracy for all birth defects; however, alternative algorithms also resulted in failing to ascertain 58.3% to 81.9% of cases. Conclusions: We found that surveillance programs that rely on unverified diagnosis codes can use algorithms to dramatically increase the accuracy of case finding, without having to review medical records. This can be important for etiologic studies. However, the use of increasingly restrictive case definition algorithms led to a decrease in completeness and the disproportionate exclusion of less severe cases, which could limit the widespread use of these approaches.

scholarly journals Prevalence of individual brain and eye defects potentially related to Zika virus in pregnancy in 22 U.S. states and territories, January 2016 - June 2017

2022 ◽  
Author(s):  
Augustina Delaney ◽  
Samantha M. Olson ◽  
Nicole M. Roth ◽  
Janet D. Cragan ◽  
Shana Godfred-Cato ◽  
...  
Keyword(s):  
Birth Defects ◽  
Zika Virus ◽  
Cortical Atrophy ◽  
Zikv Infection ◽  
Live Births ◽  
Prevalence Estimates ◽  
Surveillance Programs ◽  
Prevalence Ratios ◽  
Cerebral Cortical Atrophy ◽  
In Pregnancy

Abstract During the Centers for Disease Control and Prevention’s Zika Virus Response, birth defects surveillance programs adapted to monitor birth defects potentially related to Zika virus (ZIKV) infection during pregnancy. Pregnancy outcomes occurring during January 2016-June 2017 in 22 U.S. states and territories were used to estimate the prevalence of those brain and eye defects potentially related to ZIKV. Jurisdictions were divided into three groups: areas with widespread ZIKV transmission, areas with limited local ZIKV transmission, and areas without local ZIKV transmission. Prevalence estimates for selected brain and eye defects and microcephaly per 10,000 live births were estimated. Prevalence ratios (PRs) and 95% confidence intervals (CIs) were estimated using Poisson regression for areas with widespread and limited ZIKV transmission compared to areas without local ZIKV transmission. Defects with significantly higher prevalence in areas of widespread transmission were pooled, and PRs were calculated by quarter, comparing subsequent quarters to the first quarter (January – March 2016). Nine defects had significantly higher prevalence in areas of widespread transmission. The highest PRs were seen in intracranial calcifications (PR=12.6, 95% CI [7.4, 21.3]), chorioretinal abnormalities (12.5 [7.1, 22.3]), brainstem abnormalities (9.3, [4.7, 18.4]), and cerebral/cortical atrophy (6.7, [4.2, 10.8]). The PR of the nine pooled defects was significantly higher in three quarters in areas with widespread transmission. The largest difference in prevalence was observed for defects consistently reported in infants with congenital ZIKV infection. Birth defects surveillance programs could consider monitoring a subset of birth defects potentially related to ZIKV in pregnancy.

scholarly journals Why are Birth Defects Surveillance Programs Important?

2021 ◽  
Vol 9 ◽  
Author(s):  
Débora Gusmão Melo ◽  
Maria Teresa Vieira Sanseverino ◽  
Thanyse de Oliveira Schmalfuss ◽  
Mariela Larrandaburu
Keyword(s):  
Birth Defects ◽  
Surveillance Programs
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