A comparison of two surveillance strategies for selected birth defects in Florida

Hypospadias prevalence by severity and associated risk factors: A population-based active surveillance analysis

INTRODUCTION

Hypospadias is one of the most common congenital anomalies. Trends of hypospadias prevalence by severity are not well reported. Most prevalence studies consist of pooled data from different countries or states suffer from low data quality due to inconsistent methodologies, limited variables, and lack of categorization of hypospadias severity.

OBJECTIVE

The objective of this study is to examine the prevalence of hypospadias by degrees of severity and associated risk factors using combined data sources from a stable and well-defined population.

STUDY DESIGN

The study population includes infants born with hypospadias to mothers residing in Arkansas from 1997 to 2016. Cases were identified from an active population-based surveillance program of birth defects. Identified hypospadias cases from surveillance data were linked to birth certificate and to a clinical database. These two data sources provide more details on the location of the defect and maternal and infant characteristics. The prevalence and 95% confidence intervals were calculated using total male live births as denominator. Chi-square test was used to assess the association of nominal variables. Logistic regression was used to calculate adjusted odds ratio.

RESULTS

A total 3230 hypospadias cases were identified from 1997 to 2016. The overall prevalence is 83.0 per 10,000 male births. A majority of cases (56.7%) were classified as first degree with the others having second degree (22.8%), third degree (4.7%) or not otherwise specified (15.6%). The highest prevalence of hypospadias was observed among Non-Hispanic whites. Higher prevalence also was observed among mothers in the older age group with no prenatal care in the first trimester and with gestational hypertension or diabetes. Premature or small for gestational age infants tend to have higher prevalence across all levels of severity. The number of hypospadias cases increased over time. After maternal age, race and education were adjusted, higher risk persisted for infants of restricted fetal growth, mothers with gestational hypertension or diabetes and the cohort of 2013-2016.

CONCLUSION

There is an increase of hypospadias cases in Arkansas. Several maternal and infant characteristics associated with higher prevalence for all levels of severity are worth further investigation.

Elevated risk for developmental disabilities in children with congenital heart defects

BACKGROUND

This study examined risk for developmental disabilities in preschool-aged children with a congenital heart defect (CHD) at the population level.

METHODS

Statewide birth, birth defects, and preschool developmental disability records were integrated. The final sample included 1,966,585 children (51.0% male). Children were grouped by type(s) of CHD: critical CHD, noncritical CHD, atrial septal defect, or no major birth defects (groups were mutually exclusive).

RESULTS

Children with a CHD (any type) were at increased risk for developmental disability (any type) (RR 2.08, 95% CI 2.03-2.14, P < .001). Children in the critical CHD, noncritical CHD, and atrial septal defect groups were at increased risk for developmental delay, intellectual disability, language impairment, other health impairment, and any disability. Children in the atrial septal defect group were at increased risk for autism spectrum disorder and speech impairment. For all CHD groups, risk was greatest for other health impairment and intellectual disability.

CONCLUSIONS

Increased risk for developmental disabilities was identified for children with less severe CHDs as well as for children with more severe (critical) CHDs. All children with CHDs should be closely monitored so that appropriate interventions can be initiated as early as possible to maximize learning outcomes.

Validation of case definition algorithms for the ascertainment of congenital anomalies

BACKGROUND

Congenital anomalies (CA) are one of the leading causes of infant mortality and long-term disability. Many jurisdictions rely on health administrative data to monitor these conditions. Case definition algorithms can be used to monitor CA; however, validation of these algorithms is needed to understand the strengths and limitations of the data. This study aimed to validate case definition algorithms used in a CA surveillance system in British Columbia (BC), Canada.

METHODS

A cohort of births between March 2000 and April 2002 in BC was linked to the Health Status Registry (HSR) and the BC Congenital Anomalies Surveillance System (BCCASS) to identify cases and non-cases of specific anomalies within each surveillance system. Measures of algorithm performance were calculated for each CA using the HSR as the reference standard. Agreement between both databases was calculated using kappa coefficient. The modified Standards for Reporting Diagnostic Accuracy guidelines were used to enhance the quality of the study.

RESULTS

Measures of algorithm performance varied by condition. Positive predictive value (PPV) ranged between approximately 73%-100%. Sensitivity was lower than PPV for most conditions. Internal congenital anomalies or conditions not easily identifiable at birth had the lowest sensitivity. Specificity and negative predictive value exceeded 99% for all algorithms.

CONCLUSION

Case definition algorithms may be used to monitor CA at the population level. Accuracy of algorithms is higher for conditions that are easily identified at birth. Jurisdictions with similar administrative data may benefit from using validated case definitions for CA surveillance as this facilitates cross-jurisdictional comparison.

Factors associated with Medicaid participation among infants born with birth defects in Texas, 2010-2014

BACKGROUND

Birth defects are major contributors to healthcare resource use, disability, and mortality, particularly during the perinatal period. As the nation's public insurance program for low-income individuals, Medicaid funds a large proportion of healthcare costs associated with birth defects. Here, we explore birth defect-related factors associated with Medicaid participation in the first year of life.

METHODS

Infants born with birth defects between 2010 and 2014 were linked from the Texas Birth Defects Registry to the state's Medicaid claims database. Variation in Medicaid participation was examined by individual birth defect and by birth defect characteristics. The associations between covariates and Medicaid participation are described using percentages and adjusted prevalence ratios (APR).

RESULTS

Of the 107,968 infants included in this study, 55,172 (51.1%) participated in Medicaid. Medicaid participation ranged from 12.1% for anencephaly to 77.8% for total anomalous pulmonary venous connection. An indicator of defect severity was associated with an increased likelihood of participation (APR = 1.22, 95% CI: 1.20-1.23). Medicaid participation was 60.8% for individuals with multiple major defects, compared with 45.4% for those without (APR = 1.24, 95% CI: 1.22-1.25). Among individual birth defects, Medicaid participation was almost universally higher for those co-occurring with other major defects.

CONCLUSIONS

We detected large variations in Medicaid participation by individual birth defect. Infants participating in Medicaid tended to have more severe defects and were more likely to have multiple major defects. Medicaid claims databases can serve as valuable sources of data for surveillance efforts and observational studies, but care should be taken when generalizing findings.

Evaluating the impact of expanding the number of diagnosis codes reported in inpatient discharge databases on the counts and rates of birth defects

Objective

Public health surveillance programs worldwide implement a variety of case-finding strategies, and many rely at least in part on International Classification of Diseases (ICD)-based diagnostic codes in administrative and clinical databases. Over time, state- and national-level hospital discharge databases have been expanding the number of reported diagnosis code fields. This study aimed to evaluate the impact of these expansions on frequencies and rates of major birth defects, and the classification of birth defects as isolated vs multiple.

Methods

We used state-level 2006-2013 Florida Birth Defects Registry data and 2009-2012 data from a nationally representative database (Kids' Inpatient Database). We generated data under different scenarios by varying the number of diagnosis code fields available, and comparing counts and rates of major birth defects generated under each scenario.

Results

The expansion from 10 to 31 diagnosis code fields improved ascertainment by preventing the loss of 1 in every 40 birth defect cases with defect-related diagnoses appearing only in code positions 11 to 31. Although there was variation by birth defect, the largest impact of the expansion tended to occur for less severe birth defects diagnosed in sicker infants. When restricting to fewer codes, not only were fewer cases diagnosed, but more were classified as being isolated due to the inability to capture co-occurring defects.

Conclusion

Our findings encourage additional research for other health outcomes in patients of all ages. Other disease registries rely at least in part on diagnostic codes documented by healthcare providers in their case-finding activities, irrespective of ascertainment protocols, making routine investigation of these databases essential.

Exploring classification of birth defects severity in national hospital discharge databases compared to an active surveillance program

OBJECTIVE

To explore the extent to which the severity of birth defects could be differentiated using severity of illness (SOI) and risk of mortality (ROM) measures available in national discharge databases.

METHODS

Data from the 2012-14 National Inpatient Sample (NIS) was used to identify hospitalizations with one or more major birth defects reported annually to the National Birth Defects Prevention Network using the International Classification of Diseases, Ninth Edition, Clinical Modification (ICD-9-CM) diagnosis codes. Each hospitalization also contained a 4-level SOI and 4-level ROM classification measure. For each birth defect and for each individual birth defect-related ICD-9-CM code, we calculated mean and median SOI and ROM, the proportion of hospitalizations in each level of SOI and ROM, the inpatient mortality rate, and level of agreement between various existing or derived severity proxies in the NIS and the Texas Birth Defects Registry (TBDR).

RESULTS

Mean SOI ranged from 1.5 (cleft lip alone) to 3.7 (single ventricle), and mean ROM ranged from 1.1 (cleft lip alone) to 3.9 (anencephaly). As a group, critical congenital heart defects had the highest average number of co-occurring defects, mean SOI, and ROM, whereas orofacial and genitourinary defects had the lowest SOI and ROM. We found strong levels of agreement between TBDR severity classifications and NIS severity classifications defined using Level 3 or 4 SOI or ROM Level 3 or 4.

CONCLUSIONS

This preliminary investigation demonstrated how severity indices of birth defects could be differentiated and compared to a severity algorithm of an existing surveillance program.

Understanding how the concentration of neighborhood advantage and disadvantage affects spina bifida risk among births to non-Hispanic white and Hispanic women, Texas, 1999-2014

BACKGROUND

This is the first study to utilize the index of concentration at the extremes (ICE) to examine risk factors for spina bifida in Texas. The ICE is a useful measure for providing the degree to which residents in a certain area are concentrated into groups at the extremes of disadvantage and privilege. We introduce two novel ICE measures (language and nativity), and three existing ICE measures (race/ethnicity, income, and education), which we applied specifically to Texas residents.

METHODS

We used multivariable mixed-model Poisson regression analyses to estimate spina bifida birth prevalence and prevalence ratios among singleton live births in Texas, 1999-2014, for each of our ICE measures. Maternal census tract at delivery was included in the models as a random effect. Analyses were stratified by maternal race/ethnicity (Hispanics and non-Hispanic whites). Live births served as denominators for each category.

RESULTS

Among non-Hispanic white women, those in the most disadvantaged versus the advantaged census tract quintile had adjusted relative risk between 1.6 and 8.5 for having a baby affected by spina bifida. However, Hispanic women in the most disadvantaged versus advantaged census tract quintile for four ICE measures had a 33% to 87% lower risk of having an affected pregnancy.

CONCLUSIONS

Findings suggest spina bifida risk is associated with neighborhood disadvantage or advantage, and that relationship seems to vary by race-ethnicity. The varied associations between ICE measures and spina bifida by race/ethnicity highlights the importance of using targeted interventions in the prevention of spina bifida.

Trends, correlates, and survival of infants with congenital diaphragmatic hernia and its subtypes

OBJECTIVE

To identify the live-birth prevalence, trends, correlates, and neonatal and 1-year survival rates of congenital diaphragmatic hernia.

METHODS

Using a population-based, retrospective cohort study design, we examined 1,025 cases of congenital diaphragmatic hernia from the 1998-2012 Florida Birth Defects Registry. We used Poisson and joinpoint regression models to compute prevalence ratios and temporal trends, respectively. Kaplan-Meier survival curves and Cox proportional hazards regression were used to describe neonatal and 1-year survival and estimate hazard ratios representing the predictors of infant survival.

RESULTS

The birth prevalence of congenital diaphragmatic hernia was 3.19 per 10,000 live births (95% confidence interval [CI]: 3.00-3.39); there was a 4.2% yearly increase among multiple cases only. Among all cases, maternal education less than high school (prevalence ratio: 1.25, 95% CI: 1.02-1.53), high school/associate degree/GED (prevalence ratio: 1.15, 95% CI: 1.01-1.32), multiple birth (prevalence ratio: 1.38, 95% CI: 1.05-1.81), and male sex (prevalence ratio: 1.18, 95% CI: 1.05-1.32) were associated with increased risk for congenital diaphragmatic hernia. The 24-hr, neonatal, and 1-year survival rates were 93.6%, 79.8%, and 71.2%, respectively. The highest hazard ratio of 17.87 (95% CI: 1.49-213.82) was observed for neonatal mortality among cases associated with chromosomal anomalies and born <37 weeks at < 1,500 g. Among isolated cases, multiple birth (hazard ratio: 0.41, 95% CI: 0.20-0.86) was associated with decreased 1-year mortality.

CONCLUSION

Low maternal education and multiple birth may be linked to congenital diaphragmatic hernia. The trends in prevalence, epidemiologic correlates, and predictors of early survival can differ between congenital diaphragmatic hernia subtypes-isolated, multiple, and chromosomal.© 2018 Wiley Periodicals, Inc. © 2018 Wiley Periodicals, Inc.

Utility of Capture-Recapture Methodology to Estimate Prevalence of Congenital Heart Defects Among Adolescents in 11 New York State Counties: 2008 to 2010

BACKGROUND

Congenital heart defects (CHDs) are the most common birth defects in the United States, and the population of individuals living with CHDs is growing. Though CHD prevalence in infancy has been well characterized, better prevalence estimates among children and adolescents in the United States are still needed.

METHODS

We used capture-recapture methods to estimate CHD prevalence among adolescents residing in 11 New York counties. The three data sources used for analysis included Statewide Planning and Research Cooperative System (SPARCS) hospital inpatient records, SPARCS outpatient records, and medical records provided by seven pediatric congenital cardiac clinics from 2008 to 2010. Bayesian log-linear models were fit using the R package Conting to account for dataset dependencies and heterogeneous catchability.

RESULTS

A total of 2537 adolescent CHD cases were captured in our three data sources. Forty-four cases were identified in all data sources, 283 cases were identified in two of three data sources, and 2210 cases were identified in a single data source. The final model yielded an estimated total adolescent CHD population of 3845, indicating that 66% of the cases in the catchment area were identified in the case-identifying data sources. Based on 2010 Census estimates, we estimated adolescent CHD prevalence as 6.4 CHD cases per 1000 adolescents (95% confidence interval: 6.2-6.6).

CONCLUSION

We used capture-recapture methodology with a population-based surveillance system in New York to estimate CHD prevalence among adolescents. Future research incorporating additional data sources may improve prevalence estimates in this population. Birth Defects Research 109:1423-1429, 2017.© 2017 Wiley Periodicals, Inc.

The Accuracy of Hospital Discharge Diagnosis Codes for Major Birth Defects: Evaluation of a Statewide Registry With Passive Case Ascertainment

CONTEXT

Birth defects prevention, research, education, and support activities can be improved through surveillance systems that collect high-quality data.

OBJECTIVE

To estimate the overall and defect-specific accuracy of Florida Birth Defects Registry (FBDR) data, describe reasons for false-positive diagnoses, and evaluate the impact of statewide case confirmation on frequencies and prevalence estimates.

DESIGN

Retrospective cohort evaluation study.

PARTICIPANTS

A total of 8479 infants born to Florida resident mothers between January 1, 2007, and December 31, 2011, and diagnosed with 1 of 13 major birth defects in the first year of life.

MAIN OUTCOME MEASURES

Positive predictive value: calculated overall (proportion of FBDR-identified cases confirmed by medical record review, regardless of which of the 13 defects were confirmed) and defect-specific (proportion of FBDR-identified cases confirmed by medical record review with the same defect) indices.

RESULTS

The FBDR's overall positive predictive value was 93.3% (95% confidence interval, 92.7-93.8); however, there was variation in accuracy across defects, with positive predictive values ranging from 96.0% for gastroschisis to 54.4% for reduction deformities of the lower limb. Analyses suggested that International Classification of Diseases, Ninth Edition, Clinical Modification, codes, upon which FBDR diagnoses are based, capture the general occurrence of a defect well but often fail to identify the specific defect with high accuracy. Most infants with false-positive diagnoses had some type of birth defect that was incorrectly documented or coded. If prevalence rates reported by the FBDR for these 13 defects were adjusted to incorporate statewide case confirmation, there would be an overall 6.2% rate reduction from 82.6 to 77.5 per 10 000 live births.

CONCLUSIONS

A statewide birth defects surveillance system, relying on linkage of administrative databases, is capable of achieving high accuracy (>93%) for identifying infants with any one of the 13 major defects included in this study. However, the level of accuracy and the ability to minimize false-positive diagnoses vary depending on the defect.

Costs, mortality, and hospital usage in relation to prenatal diagnosis in d-transposition of the great arteries

BACKGROUND

The impact of prenatal diagnosis of d-transposition of the great arteries (dTGA) on health-care usage is largely unknown. We evaluated a population-based cohort to assess costs, mortality and inpatient encounters by whether dTGA was prenatally diagnosed or not.

METHODS

The dTGA cases (born 1997-2011) identified at the Utah Birth Defect Network, which includes data on timing of diagnosis, were linked to statewide inpatient discharge data. We excluded preterm cases or cases with additional major heart defects. We evaluated hospitalizations and costs for infants (first year of life) and mothers (10 months before birth) using multivariable models adjusted for demographic and clinical risk factors.

RESULTS

Of 119 cases, 14 (12%) were prenatally diagnosed. Birth weight, surgical complexity and extracardiac defects/syndromes were similar between groups. Of 7 deaths (6%), two occurred pre-intervention in postnatally diagnosed infants. Prenatal diagnosis was associated with more in-hospital days (estimate 13 additional days, p = 0.03) and higher mean costs for mothers ($4,141 vs $12,148) and infants (90,419 vs $49,576). Prenatal diagnosis independently predicted higher adjusted costs for the overall cohort ($22,570, p = 0.045). After excluding deaths, total costs were no longer significantly different.

CONCLUSION

Mothers of prenatally diagnosed infants with dTGA had higher inpatient costs compared with those postnatally diagnosed. Costs trended higher for their infants, although were not significantly different. Linkage of population-based surveillance systems and outcome databases can be a powerful tool to further explore the complex relationship of prenatal diagnosis to costs and outcomes in other types of congenital heart diseases. Birth Defects Research 109:262-270, 2017. © 2017 Wiley Periodicals, Inc.

Evaluation of the Sensitivity and Accuracy of Birth Defects Indicators on the 2003 Revision of the U.S. Birth Certificate: Has Data Quality Improved?

BACKGROUND

The 2003 revision of the U.S. Birth Certificate was restricted to birth defects readily identifiable at birth. Despite being the lone source of birth defects cases in some studies, we lack population-based information on the quality of birth defects data from the most recent revision of the birth certificate.

METHODS

We linked birth certificate data to confirmed cases from the Florida Birth Defects Registry (FBDR) to assess the sensitivity and positive predictive value (PPV) of birth defects indicators on the birth certificate. Descriptive statistics and log-binomial regression were used to examine variation in data quality measures by defect type and other characteristics. We also evaluated the contribution of birth certificates as a case ascertainment source for the FBDR.

RESULTS

Sensitivity of the birth certificate was poor (19.1%) with variation across defects ranging from 55% for anencephaly and 54% for gastroschisis, to <10% for other defects. PPV was better (87.1%) and ranged from >93% for orofacial clefts and gastroschisis to <55% for anencephaly and limb reduction defects. We also observed variation in data quality across maternal, infant, and hospital characteristics. Of cases identified by the birth certificate and not any other FBDR data source, 54.9% were false-positive diagnoses.

CONCLUSIONS

Efforts to restrict the 2003 revision of the birth certificate to defects identifiable at birth have not improved the likelihood that birth certificates will identify infants born with those defects. We do not recommend the use of birth certificates as a source of birth defects data without case verification strategies.

Testing the Feasibility of a Passive and Active Case Ascertainment System for Multiple Rare Conditions Simultaneously: The Experience in Three US States

Background

Owing to their low prevalence, single rare conditions are difficult to monitor through current state passive and active case ascertainment systems. However, such monitoring is important because, as a group, rare conditions have great impact on the health of affected individuals and the well-being of their caregivers. A viable approach could be to conduct passive and active case ascertainment of several rare conditions simultaneously. This is a report about the feasibility of such an approach.

Objective

To test the feasibility of a case ascertainment system with passive and active components aimed at monitoring 3 rare conditions simultaneously in 3 states of the United States (Colorado, Kansas, and South Carolina). The 3 conditions are spina bifida, muscular dystrophy, and fragile X syndrome.

Methods

Teams from each state evaluated the possibility of using current or modified versions of their local passive and active case ascertainment systems and datasets to monitor the 3 conditions. Together, these teams established the case definitions and selected the variables and the abstraction tools for the active case ascertainment approach. After testing the ability of their local passive and active case ascertainment system to capture all 3 conditions, the next steps were to report the number of cases detected actively and passively for each condition, to list the local barriers against the combined passive and active case ascertainment system, and to describe the experiences in trying to overcome these barriers.

Results

During the test period, the team from South Carolina was able to collect data on all 3 conditions simultaneously for all ages. The Colorado team was also able to collect data on all 3 conditions but, because of age restrictions in its passive and active case ascertainment system, it was able to report few cases of fragile X syndrome. The team from Kansas was able to collect data only on spina bifida. For all states, the implementation of an active component of the ascertainment system was problematic. The passive component appears viable with minor modifications.

Conclusions

Despite evident barriers, the joint passive and active case ascertainment of rare disorders using modified existing surveillance systems and datasets seems feasible, especially for systems that rely on passive case ascertainment.

Factors associated with the timeliness of postnatal surgical repair of spina bifida

PURPOSE

Clinical guidelines recommend repair of open spina bifida (SB) prenatally or within the first days of an infant's life. We examined maternal, infant, and health care system factors associated with time-to-repair among infants with postnatal repair.

METHODS

This retrospective, statewide, population-based study examined infants with SB born in Florida 1998-2007, ascertained by the Florida Birth Defects Registry. We used procedure codes from hospital discharge records to identify the first recorded myelomeningocele repair (ICD-9 CM procedure code 03.52) among infants with birth hospitalizations. Using Poisson multivariable regression, we examined time-to-repair by hydrocephalus, SB type (isolated [no other coded major birth defect] versus non-isolated), and other selected factors.

RESULTS

Of 199 infants with a recorded birth hospitalization and coded myelomeningocele repair, 87.9 % had hydrocephalus and 19.6 % had non-isolated SB. About 76.4 % of infants had repair by day 2 of life. In adjusted analyses, infants with hydrocephalus were more likely to have timely repair (adjusted prevalence ratio (aPR) = 1.48, 95 % confidence interval (CI) 1.02-2.14) than infants without hydrocephalus. SB type was not associated with repair timing. Infants born in lower level nursery care hospitals with were less likely to have timely repairs (aPR = 0.71, 95 % CI 0.52-0.98) than those born in higher level nursery care hospitals.

CONCLUSIONS

Most infants with SB had surgical repair in the first 2 days of life. Lower level birth hospital nursery care was associated with later repairs. Prenatal diagnosis can facilitate planning for a birth hospital with higher level of nursery care, thus improving opportunities for timely repair.

Assessing the Practices of Population-Based Birth Defects Surveillance Programs Using the CDC Strategic Framework, 2012

OBJECTIVE

We assessed the practices of U.S. population-based birth defects surveillance programs in addressing current and emergent public health needs.

METHODS

Using the CDC Strategic Framework considerations for public health surveillance (i.e., lexicon and standards, legal authority, technological advances, workforce, and analytic capacity), during 2012 and 2013, we conducted a survey of all U.S. operational birth defects programs (n=43) soliciting information on legal authorities, case definition and clinical information collected, types of data sources, and workforce staffing. In addition, we conducted semi-structured interviews with nine program directors to further understand how programs are addressing current and emergent needs.

RESULTS

Three-quarters of birth defects surveillance programs used national guidelines for case definition. Most birth defects surveillance programs (86%) had a legislative mandate to conduct surveillance, and many relied on a range of prenatal, postnatal, public health, and pediatric data sources for case ascertainment. Programs reported that the transition from paper to electronic formats was altering the information collected, offering an opportunity for remote access to improve timeliness for case review and verification. Programs also reported the growth of pooled, multistate data collaborations as a positive development. Needs identified included ongoing workforce development to improve information technology and analytic skills, more emphasis on data utility and birth defects-specific standards for health information exchange, and support to develop channels for sharing ideas on data interpretation and dissemination.

CONCLUSION

The CDC Strategic Framework provided a useful tool to determine the birth defects surveillance areas with positive developments, such as multi-state collaborative epidemiologic studies, and areas for improvement, such as preparation for health information exchanges and workforce database and analytic skills. Our findings may inform strategic deliberations for enhancing the effectiveness of birth defects surveillance programs.

Factors associated with high hospital resource use in a population-based study of children with orofacial clefts

BACKGROUND

Little is known about population-based maternal, child, and system characteristics associated with high hospital resource use for children with orofacial clefts (OFC) in the US.

METHODS

This was a statewide, population-based, retrospective observational study of children with OFC born between 1998 and 2006, identified by the Florida Birth Defects Registry whose records were linked with longitudinal hospital discharge records. We stratified the descriptive results by cleft type [cleft lip with cleft palate, cleft lip, and cleft palate] and by isolated versus nonisolated OFC (accompanied by other coded major birth defects). We used Poisson regression to analyze associations between selected characteristics and high hospital resource use (≥90th percentile of estimated hospitalized days and inpatient costs) for birth, postbirth, and total hospitalizations initiated before age 2 years.

RESULTS

Our analysis included 2,129 children with OFC. Infants who were born low birth weight (<2500 grams) were significantly more likely to have high birth hospitalization costs for CLP (adjusted prevalence ratio: 1.6 [95% confidence interval: 1.0-2.7]), CL (adjusted prevalence ratio: 3.0 [95% confidence interval: 1.1-8.1]), and CP (adjusted prevalence ratio: 2.3 [95% confidence interval: 1.3-4.0]). Presence of multiple birth defects was significantly associated with a three- to eleven-fold and a three- to nine-fold increase in the prevalence of high costs and number of hospitalized days, respectively; at birth, postbirth before age 2 years and overall hospitalizations.

CONCLUSION

Children with cleft palate had the greatest hospital resources use. Additionally, the presence of multiple birth defects contributed to greater inpatient days and costs for children with OFC.

Factors Associated with Travel Time and Distance to Access Hospital Care Among Infants with Spina Bifida

OBJECTIVES

Using geographic information systems (GIS), we examined travel time and distance to access hospital care for infants with spina bifida (SB).

METHODS

This study was a statewide, population-based analysis of Florida-born children with SB, 1998-2007, identified by the Florida Birth Defects Registry and linked to hospitalizations. We geocoded maternal residence at delivery and identified hospital locations for infants (<1 year). Using 2007 Florida Department of Transportation road data, we calculated one-way mean travel time and distance to access hospital care. We used Poisson regression to examine selected factors associated with travel time and distance [≤30 vs. >30 min/miles (reference)], including presence of hydrocephalus and SB type [isolated (no other major birth defect) versus non-isolated SB].

RESULTS

For 612 infants, one-way mean (median) travel time was 45.1 (25.9) min. Infants with both non-isolated SB and hydrocephalus traveled longest to access hospitals (mean 60.8 min/48.5 miles; median 34.2 min/26.9 miles). In adjusted results, infants with non-isolated SB and whose mothers had a rural residence were less likely to travel ≤30 min to hospitals. Infants born to mothers in minority racial/ethnic groups were more likely to travel ≤30 min.

CONCLUSIONS

Birth defects registry data and GIS-based methods can be used to evaluate geographic accessibility to hospital care for infants with birth defects. Results can help to identify geographic barriers to accessing hospital care, such as travel time and distance, and inform opportunities to improve access to care for infants with SB or other special needs.

Associations between exposure to ambient benzene and PM(2.5) during pregnancy and the risk of selected birth defects in offspring

OBJECTIVE

A growing number of studies have investigated the association between air pollution and the risk of birth defects, but results are inconsistent. The objective of this study was to examine whether maternal exposure to ambient PM2.5 or benzene increases the risk of selected birth defects in Florida.

METHODS

We conducted a retrospective cohort study of singleton infants born in Florida from 2000 to 2009. Isolated and non-isolated birth defect cases of critical congenital heart defects, orofacial clefts, and spina bifida were identified from the Florida Birth Defects Registry. Estimates of maternal exposures to PM2.5 and benzene for all case and non-case pregnancies were derived by aggregation of ambient measurement data, obtained from the US Environmental Protection Agency Air Quality System, during etiologically relevant time windows. Multivariable Poisson regression was used to estimate adjusted prevalence ratios (aPRs) and 95% confidence intervals (CIs) for each quartile of air pollutant exposure.

RESULTS

Compared to the first quartile of PM2.5 exposure, higher levels of exposure were associated with an increased risk of non-isolated truncus arteriosus (aPR4th Quartile, 8.80; 95% CI, 1.11-69.50), total anomalous pulmonary venous return (aPR2nd Quartile, 5.00; 95% CI, 1.10-22.84), coarctation of the aorta (aPR4th Quartile, 1.72; 95% CI, 1.15-2.57; aPR3rd Quartile, 1.60; 95% CI, 1.07-2.41), interrupted aortic arch (aPR4th Quartile, 5.50; 95% CI, 1.22-24.82), and isolated and non-isolated any critical congenital heart defect (aPR3rd Quartile, 1.13; 95% CI, 1.02-1.25; aPR4th Quartile, 1.33; 95% CI, 1.07-1.65). Mothers with the highest level of exposure to benzene were more likely to deliver an infant with an isolated cleft palate (aPR4th Quartile, 1.52; 95% CI, 1.13-2.04) or any orofacial cleft (aPR4th Quartile, 1.29; 95% CI, 1.08-1.56). An inverse association was observed between exposure to benzene and non-isolated pulmonary atresia (aPR4th Quartile, 0.19; 95% CI, 0.04-0.84).

CONCLUSION

Our results suggest a few associations between exposure to ambient PM2.5 or benzene and specific birth defects in Florida. However, many related comparisons showed no association. Hence, it remains unclear whether associations are clinically significant or can be causally related to air pollution exposures.

Transformative Use of an Improved All-Payer Hospital Discharge Data Infrastructure for Community-Based Participatory Research: A Sustainability Pathway

OBJECTIVE

To describe the use of a clinically enhanced maternal and child health (MCH) database to strengthen community-engaged research activities, and to support the sustainability of data infrastructure initiatives.

DATA SOURCES/STUDY SETTING

Population-based, longitudinal database covering over 2.3 million mother-infant dyads during a 12-year period (1998-2009) in Florida.

SETTING

A community-based participatory research (CBPR) project in a socioeconomically disadvantaged community in central Tampa, Florida.

STUDY DESIGN

Case study of the use of an enhanced state database for supporting CBPR activities.

PRINCIPAL FINDINGS

A federal data infrastructure award resulted in the creation of an MCH database in which over 92 percent of all birth certificate records for infants born between 1998 and 2009 were linked to maternal and infant hospital encounter-level data. The population-based, longitudinal database was used to supplement data collected from focus groups and community surveys with epidemiological and health care cost data on important MCH disparity issues in the target community. Data were used to facilitate a community-driven, decision-making process in which the most important priorities for intervention were identified.

CONCLUSIONS

Integrating statewide all-payer, hospital-based databases into CBPR can empower underserved communities with a reliable source of health data, and it can promote the sustainability of newly developed data systems.

Adjusting for bias due to incomplete case ascertainment in case-control studies of birth defects

Case-control studies of birth defects might be subject to selection bias when there is incomplete ascertainment of cases among pregnancies that are terminated after a prenatal diagnosis of the defect. We propose a simple method to estimate inverse probability of selection weights (IPSWs) for cases ascertained from both pregnancies that end in termination and those that do not end in termination using data directly available from the National Birth Defects Prevention Study and other published information. The IPSWs can then be used to adjust for selection bias analytically. We can also allow for uncertainty in the selection probabilities through probabilistic bias analysis. We provide an illustrative example using data from National Birth Defects Prevention Study (1997-2009) to examine the association between prepregnancy obesity (body mass index, measured as weight in kilograms divided by height in meters squared, of ≥30 vs. <30) and spina bifida. The unadjusted odds ratio for the association between prepregnancy obesity and spina bifida was 1.48 (95% confidence interval: 1.26, 1.73), and the simple selection bias-adjusted odds ratio was 1.26 (95% confidence interval: 1.04, 1.53). The probabilistic bias analysis resulted in a median adjusted odds ratio of 1.22 (95% simulation interval: 0.97, 1.47). The proposed method provides a quantitative estimate of the IPSWs and the bias introduced by incomplete ascertainment of cases among terminated pregnancies conditional on a set of assumptions.

Risk factors involved in orofacial cleft predisposition - review

Clefts that occur in children are a special topic. Avoiding risk factors, and also an early diagnosis of cleft possibility can result in minimizing or avoiding them. If on the other hand when clefts occur they require a long-term, multistage specialized treatment. Etiology of clefts seems to be related to many factors. Factors such as genetic, environmental, geographic and even race factors are important. Identification of risk factors can lead to prevention and prophylactic behaviors in order to minimize its occurrence. Exposure to environmental factors at home and work that lead to cleft predisposition should not be disregarded. It seems that before planning a family it would be wise to consult with doctors of different specializations, especially in high-risk families with cleft history in order to analyze previous lifestyle. Clefts are very common in hereditary facial malformations and are causing a lot of other irregularities in the head and neck region. In this paper after a brief papers review authors present socio-geographic, environmental and also work place related factors that are influencing pregnant women condition and should be taken under serious consideration.

Birth Defects Surveillance in the United States: Challenges and Implications of International Classification of Diseases, Tenth Revision, Clinical Modification Implementation

Major birth defects are an important public health issue because they are the leading cause of infant mortality. The most common birth defects are congenital heart defects, neural tube defects, and Down syndrome. Birth defects surveillance guides policy development and provides data for prevalence estimates, epidemiologic research, planning, and prevention. Several factors influence birth defects surveillance in the United States of America (USA). These include case ascertainment methods, pregnancy outcomes, and nomenclature used for coding birth defects. In 2015, the nomenclature used by most birth defects surveillance programs in USA will change from ICD-9-CM to ICD-10-CM. This change will have implications on birth defects surveillance, prevalence estimates, and tracking birth defects trends.

Role of health insurance on the survival of infants with congenital heart defects

OBJECTIVES

We examined the association between health insurance and survival of infants with congenital heart defects (CHDs), and whether medical insurance type contributed to racial/ethnic disparities in survival.

METHODS

We conducted a population-based, retrospective study on a cohort of Florida resident infants born with CHDs between 1998 and 2007. We estimated neonatal, post-neonatal, and infant survival probabilities and adjusted hazard ratios (AHRs) for individual characteristics.

RESULTS

Uninsured infants with critical CHDs had 3 times the mortality risk (AHR = 3.0; 95% confidence interval = 1.3, 6.9) than that in privately insured infants. Publicly insured infants had a 30% reduced mortality risk than that of privately insured infants during the neonatal period, but had a 30% increased risk in the post-neonatal period. Adjusting for insurance type reduced the Black-White disparity in mortality risk by 50%.

CONCLUSIONS

Racial/ethnic disparities in survival were attenuated significantly, but not eliminated, by adjusting for payer status.

Breech presentation at delivery: a marker for congenital anomaly?

OBJECTIVE

To determine whether congenital anomalies are associated with breech presentation at the time of birth.

STUDY DESIGN

A population-based, retrospective cohort study was conducted among 460,147 women with singleton live births using the Missouri Birth Defects Registry, which includes all defects diagnosed during the first year of life. Maternal and obstetric characteristics and outcomes between breech and cephalic presentation groups were compared using χ(2)-square statistic and Student's t-test. Multivariable binary logistic regression analysis was used to estimate adjusted odds ratios (aORs) and 95% confidence intervals (CIs).

RESULT

At least one congenital anomaly was more likely present among infants breech at birth (11.7%) than in those with cephalic presentation (5.1%), whether full-term (9.4 vs 4.6%) or preterm (20.1 vs 11.6%). The relationship between breech presentation and congenital anomaly was stronger among full-term births (aOR 2.09, CI 1.96, 2.23, term vs 1.40, CI 1.26, 1.55, preterm), but not in all categories of anomalies.

CONCLUSION

Breech presentation at delivery is a marker for the presence of congenital anomaly. Infants delivered breech deserve special scrutiny for the presence of malformation.

Informatics in Disease Prevention and Epidemiology

This chapter provides a description of the components of disease prevention and control programs, and then focuses on information systems designed to support public health surveillance, epidemiologic investigation of cases and outbreaks, and case management. For each such system, we describe sources used to acquire necessary data for use by public health agencies, and the technology used to clean, manage, organize, and display the information. We discuss challenges and successes in sharing information among these various systems, and opportunities presented by emerging technologies.

Systems to support public health surveillance may support traditional passive case-reporting, as enhanced by electronic laboratory reporting and (emerging) direct reporting from electronic health records, and also a wide variety of different surveillance systems. We address syndromic surveillance and other novel approaches including registries for reporting and follow-up of cases of cancer, birth defects, lead poisoning, hepatitis B, etc., and population-based surveys (such as BRFSS or PRAMS).

Systems to support epidemiologic investigation of outbreaks and clusters include generic tools such as Excel, SAS, SPSS, and R, and specialized tool-kits for epidemiologic analysis such as Epi-Info. In addition to supporting outbreak investigation, agencies also need systems to collect and manage summary information about outbreaks, investigations, and responses.

Systems to support case management, contact tracing, and case-based disease control interventions are often integrated to some degree with surveillance systems. We focus on opportunities and choices in the design and implementation of these systems.

Validation of congenital anomaly coding in Canada's administrative databases compared with a congenital anomaly registry

BACKGROUND

Congenital anomaly (CA) surveillance provides epidemiologic data that are necessary for health planning. Approaches to CA surveillance vary; however, an increasing number of jurisdictions rely on administrative health databases for case ascertainment. This study aimed to assess the validity of CA coding in three administrative databases compared with a CA registry.

METHODS

A cohort of 5862 live and stillborn infants from Calgary Alberta Canada was created through linking 12 clinical and administrative databases. Diagnostic codes for all health care contacts (hospitalizations, emergency room visits, out-patient physician visits) in the first 3 months of life were examined for relevant International Classification of Disease codes. Sensitivity, positive predictive values, and kappa coefficients were calculated, and data from the Alberta Congenital Anomalies Surveillance System was used as the reference standard.

RESULTS

The ability of administrative data to accurately ascertain CAs varied by data source and the specificity of the diagnosis. Consistently, hospitalization data out-performed other administrative data sources in terms of sensitivity, positive predictive values, and kappa. Kappa scores for CAs easily visible at birth ranged from moderate (0.62 for emergency room visits and 0.65 for out-patient physician claims) to good (0.83 for hospitalization data) depending on the data source.

CONCLUSION

The validity of CA coding in administrative databases compared with a CA registry varies by database used and by CA studied. This has important implications for national surveillance efforts. Condition-specific validity should be assessed locally before use of these data sources for research or planning purposes.

Hospitalizations, costs, and mortality among infants with critical congenital heart disease: how important is timely detection?

BACKGROUND

Critical congenital heart disease (CCHD) was recently added to the U.S. Recommended Uniform Screening Panel for newborns. States considering screening requirements may want more information about the potential impact of screening. This study examined potentially avoidable mortality among infants with late detected CCHD and assessed whether late detection was associated with increased hospital resource use during infancy.

METHODS

This was a state-wide, population-based, observational study of infants with CCHD (n = 3603) born 1998 to 2007 identified by the Florida Birth Defects Registry. We examined 12 CCHD conditions that are targets of newborn screening. Late detection was defined as CCHD diagnosis after the birth hospitalization. Deaths potentially avoidable through screening were defined as those that occurred outside a hospital following birth hospitalization discharge and those that occurred within 3 days of an emergency readmission.

RESULTS

For 23% (n = 825) of infants, CCHD was not detected during the birth hospitalization. Death occurred among 20% (n = 568/2,778) of infants with timely detected CCHD and 8% (n = 66/825) of infants with late detected CCHD, unadjusted for clinical characteristics. Potentially preventable deaths occurred in 1.8% (n = 15/825) of infants with late detected CCHD (0.4% of all infants with CCHD). In multivariable models adjusted for selected characteristics, late CCHD detection was significantly associated with 52% more admissions, 18% more hospitalized days, and 35% higher inpatient costs during infancy.

CONCLUSION

Increased CCHD detection at birth hospitals through screening may lead to decreased hospital costs and avoid some deaths during infancy. Additional studies conducted after screening implementation are needed to confirm these findings.

Modeling travel impedance to medical care for children with birth defects using Geographic Information Systems

BACKGROUND

Children with birth defects may face significant geographic barriers accessing medical care and specialized services. Using a Geographic Information Systems-based approach, one-way travel time and distance to access medical care for children born with spina bifida was estimated.

METHODS

Using 2007 road information from the Florida Department of Transportation, we built a topological network of Florida roads. Live-born Florida infants with spina bifida during 1998 to 2007 were identified by the Florida Birth Defects Registry and linked to hospital discharge records. Maternal residence at delivery and hospitalization locations were identified during the first year of life.

RESULTS

Of 668 infants with spina bifida, 8.1% (n = 54) could not be linked to inpatient data, resulting in 614 infants. Of those 614 infants, 99.7% (n = 612) of the maternal residential addresses at delivery were successfully geocoded. Infants with spina bifida living in rural areas in Florida experienced travel times almost twice as high compared with those living in urban areas. When aggregated at county levels, one-way network travel times exhibited statistically significant spatial autocorrelation, indicating that families living in some clusters of counties experienced substantially greater travel times compared with families living in other areas of Florida.

CONCLUSION

This analysis demonstrates the usefulness of linking birth defects registry and hospital discharge data to examine geographic differences in access to medical care. Geographic Information Systems methods are important in evaluating accessibility and geographic barriers to care and could be used among children with special health care needs, including children with birth defects.

Factors associated with late detection of critical congenital heart disease in newborns

OBJECTIVES

Critical congenital heart disease (CCHD) was recently added to the US Recommended Uniform Screening Panel for newborns. This study assessed whether maternal/household and infant characteristics were associated with late CCHD detection.

METHODS

This was a statewide, population-based, retrospective, observational study of infants with CCHD born between 1998 and 2007 identified by using the Florida Birth Defects Registry. We examined 12 CCHD conditions that are primary and secondary targets of newborn CCHD screening using pulse oximetry. We used Poisson regression models to analyze associations between selected characteristics (eg, CCHD type, birth hospital nursery level [highest level available in the hospital]) and late CCHD detection (defined as diagnosis after the birth hospitalization).

RESULTS

Of 3603 infants with CCHD and linked hospitalizations, CCHD was not detected during the birth hospitalization for 22.9% (n = 825) of infants. The likelihood of late detection varied by CCHD condition. Infants born in a birth hospital with a level I nursery only (adjusted prevalence ratio: 1.9 [95% confidence interval: 1.6-2.2]) or level II nursery (adjusted prevalence ratio: 1.5 [95% confidence interval: 1.3-1.7]) were significantly more likely to have late-detected CCHD compared with infants born in a birth hospital with a level III (highest) nursery.

CONCLUSIONS

After controlling for the selected characteristics, hospital nursery level seems to have an independent association with late CCHD detection. Thus, perhaps universal newborn screening for CCHD could be particularly beneficial in level I and II nurseries and may reduce differences in the frequency of late diagnosis between birth hospital facilities.

Cost-effectiveness of routine screening for critical congenital heart disease in US newborns

OBJECTIVES

Clinical evidence indicates newborn critical congenital heart disease (CCHD) screening through pulse oximetry is lifesaving. In 2011, CCHD was added to the US Recommended Uniform Screening Panel for newborns. Several states have implemented or are considering screening mandates. This study aimed to estimate the cost-effectiveness of routine screening among US newborns unsuspected of having CCHD.

METHODS

We developed a cohort model with a time horizon of infancy to estimate the inpatient medical costs and health benefits of CCHD screening. Model inputs were derived from new estimates of hospital screening costs and inpatient care for infants with late-detected CCHD, defined as no diagnosis at the birth hospital. We estimated the number of newborns with CCHD detected at birth hospitals and life-years saved with routine screening compared with no screening.

RESULTS

Screening was estimated to incur an additional cost of $6.28 per newborn, with incremental costs of $20 862 per newborn with CCHD detected at birth hospitals and $40 385 per life-year gained (2011 US dollars). We estimated 1189 more newborns with CCHD would be identified at birth hospitals and 20 infant deaths averted annually with screening. Another 1975 false-positive results not associated with CCHD were estimated to occur, although these results had a minimal impact on total estimated costs.

CONCLUSIONS

This study provides the first US cost-effectiveness analysis of CCHD screening in the United States could be reasonably cost-effective. We anticipate data from states that have recently approved or initiated CCHD screening will become available over the next few years to refine these projections.