Abstract
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.
Keywords: Birth defects, Spina bifida, Pediatric surgery, Timeliness
Introduction
Spina bifida (SB) is a neural tube defect that results from a failure of the caudal neural tube to close early in embryonic development [22]. The recommended standard of treatment for open presentations of SB is prenatal surgical repair or postnatal repair within the first few days of life [4, 20]. If an infant does not undergo prenatal SB closure, prompt postnatal closure is essential to prevent infection and protect the exposed nerves from additional trauma [21, 23]. Prompt postnatal repair has been associated with reduced risk of ventriculoperitoneal shunt infection [14], neurogenic bladder [38], and neurodevelopmental delays [24].
Timely care among children with birth defects, such as SB, remains an understudied area [5, 27, 28, 42]. Previous relevant studies were based on 20-year-old data [9, 36], were descriptive only [9, 36], used a convenience or small clinical sample [9, 14, 36], or used only hospital discharge data to identify SB and demographics [9, 17].
Our study used a statewide, population-based sample of infants with SB to provide information on the timing of post-natal repair of SB. We hypothesized that the majority of infants would undergo surgical repair within the first 2 days of life. We also examined associations with selected maternal, infant, and health care system characteristics [19, 37, 40]. A focus of our analysis was whether disease severity, specifically hydrocephalus and non-isolated SB (SB with another coded major birth defect), was associated with timing of surgical repair.
Methods
Design and study population
This study was a retrospective, population-based observational study of infants with SB born in Florida between January 1, 1998 and December 31, 2007. We obtained the data from linked datasets provided by the Florida Birth Defects Registry (FBDR) and the Florida Bureau of Vital Statistics, both in the Florida Department of Health (FDOH), and from the Florida Agency for Health Care Administration (AHCA). We used the AHCA data from January 1, 1998, through December 31, 2008, to ensure adequate hospital discharge data for each infant.
The FBDR is a statewide, population-based passive birth defects surveillance system. The FBDR identified infants with SB without anencephaly using the International Classification of Disease, 9th revision; Clinical Modification (ICD-9-CM) codes 741.00–741.93. The FBDR excludes infants who were adopted or prospectively adopted or born out of state. The FBDR includes infants if they are live-born in Florida to a mother who is a Florida resident at delivery [30, 31]. For this study, infants needed to match to an inpatient birth hospitalization discharge record. We excluded infants without a matched birth hospitalization to reduce error that could result from a repair occurring earlier in a hospital that did not report discharge data to the AHCA.
Following consultation with clinical experts from the Centers for Disease Control and Prevention’s (CDC) National Center on Birth Defects and Developmental Disabilities (NCBDDD), we used the ICD-9-CM procedure codes 03.51 (meningocele (MC) repair) and 03.52 (myelomeningocele (MMC) repair) to identify surgical repair of SB. We further restricted the analysis to infants with a coded MMC repair (03.52). This restriction ensured a more uniform study population and more reliably captured infants with open SB presentations, which require prompt surgical repair.
Two infants who died during the first 28 days of life were excluded from analyses because they may have had more severe or complex medical conditions than infants who survived the neonatal period. Thus, their experience of surgical repair may not be typical of infants with SB. We retained infants who died later in infancy or during childhood to capture the full extent of factors associated with timely surgical repair among infants with SB who had a repair.
Variable construction
Outcome variable
The primary outcome of interest was timely postnatal surgical repair of the infant with SB. Using recommended guidelines for postnatal surgical repair [4, 20], infants were considered to have timely repair if the procedure code for the repair was on day 0, 1, or 2 of life. Surgical repair after this period was considered a later repair. If an infant had more than one repair procedure code listed, we used the time associated with the first recorded repair. We analyzed time-to-repair as a binary variable of ≤2 versus >2 days.
Exposure variables
The primary exposure of interest was SB type, isolated or non-isolated, which was coded as a dichotomous variable. Infants were classified as having isolated SB if they met any of the following criteria: (1) had only SB and no other coded major birth defect; (2) had only SB and a minor birth defect, such as low set ears or skin tags; or (3) had only SB accompanied by a documented sequence of birth defects related to SB, such as hydrocephalus, and no additional unrelated major birth defects [6, 18, 26]. Classification of isolated or non-isolated SB (hereafter, SB type) was informed by previous research and in consultation with CDC clinical experts [6, 18, 26].
A second exposure of interest was the presence of hydrocephalus, coded as a dichotomous variable. Following consultation with clinical experts from CDC’s NCBDDD, we identified hydrocephalus using ICD-9-CM codes 741.01–741.03. We expected that the presence of hydrocephalus would serve as a proxy for more severe forms of SB, such as MMC, based on the high percentage of infants with MMC who also have hydrocephalus [8, 21]. The ICD-9-CM diagnostic codes for SB in administrative data do not differentiate between MMC and other cases.
Covariates
The selection of covariates was informed by previous research on timeliness of care or access to care among children with special health care needs (CSHCN), including children with birth defects [5, 7, 25, 34, 37]. Maternal characteristics were age at delivery, race/ethnicity, nativity, education, marital status, and rural residency. Infant characteristics were sex, pre-term birth (<37 weeks gestation), low birth weight (<2500 g), and postneonatal death during the study period. Health care system characteristics were adequacy of prenatal care, health insurance payer, inter-hospital transfer, and birth hospital nursery care level (I, II, or III) [3].
We identified adequacy of prenatal care using the Kotelchuck Index, which classifies prenatal care services based on the number and timing of prenatal care visits [16]. Due to small cell sizes, we reported adequacy of prenatal care as a binary variable, collapsing adequate and adequate plus care into a variable “adequate care,” and intermediate and inadequate care into “less than adequate care.”
We identified maternal residential rurality by comparing the geocoded maternal residential addresses reported at delivery with the 2000 US Census data that identified rurality at the block group level [39]. We created a dichotomous variable, “urban” or “rural” to describe residential rurality.
Health insurance payers were the expected payers for the birth hospitalization reported in the hospital discharge data. Payers for the birth hospitalization were defined as public (Medicare, Medicaid, and other state or local insurance, such as the Florida Children’s Health Insurance Program, KidCare), private (private or employer-based insurance, including military coverage, such as Civilian Health and Medical Program of the Uniformed Services [CHAMPUS] or TriCare), or self-pay or under-insured (defined by the AHCA as no third party coverage or <30 % estimated insurance coverage) [12].
Inter-hospital transfers were identified when hospital discharge records showed that an infant was admitted to a hospital on the same day the infant was discharged from another hospital or if a 1-day difference existed between a discharge from one hospital and an admission to another hospital and the records included a “transfer” code [10]. Only inter-hospital transfers that occurred during the birth hospitalization were observed. We coded inter-hospital transfers as no transfer, transfer by day 3 of life, or transfer after day 3 of life.
Statistical analyses
We calculated the mean, median, and range in days for time-to-repair among the infants who had a surgical repair during the first year of life. In the bivariate analyses, we examined repair in ≤2 versus >2 days by maternal, infant, and health care system characteristics. We used chi-square analyses for the categorical variables and Fisher’s exact test for small cell sizes. p values <0.05 were considered statistically significant.
In multivariable analyses, we estimated unadjusted prevalence ratios (uPR), adjusted prevalence ratios (aPR), and corresponding 95 % confidence intervals (95 % CI), using modified log-linear Poisson regression with a robust variance estimate. We selected Poisson regression because it provides directly interpretable risk ratio results in analysis of dichotomous variables, especially when the outcome of interest is not rare [43].
Our multivariable models were based on the framework described by Aday and Andersen [1] and informed by previous research [5, 25, 34, 37]. We assessed for multicollinearity using the variance inflation factor and excluded a variable if it was closely correlated with another variable (e.g., hospital transfers were correlated with nursery care level) or if the category size was too small to support the analysis. We did not think death beyond 1 month of life would have bearing on the outcome, so did not control for postneonatal death. Our final models included the following variables: maternal age, race/ethnicity, education, and nativity; marital status; residential rurality; infant’s sex; preterm birth; co-occurring hydrocephalus; SB type; adequacy of prenatal care; birth hospital nursery care level; and health care payer.
We conducted analyses using SAS 9.2 (SAS Institute, Inc., Cary, NC). The Institutional Review Boards at the University of North Carolina at Charlotte, the FDOH, and CDC approved this study.
Results
Study sample
Of 614 infants in the FBDR who had ICD-9-CM codes for SB without anencephaly, 569 were linked to a birth hospitalization in the hospital discharge records. Among all infants with a birth hospitalization (n = 569), 299 (52.5 %) had a recorded postnatal surgical repair and survived the neonatal period. Among the 299 infants, 215 (71.9 %) had a coded MMC repair. We excluded 16 infants whose time-to-repair was greater than 21 days [14] to ensure we captured the primary surgical repair for MMC. Our final analytic sample included 199 infants.
Descriptive and bivariate results
Table 1 summarizes selected maternal, infant, and health care system characteristics. About 52 % (n = 104) of mothers were non-Hispanic White, and 77.9 % (n = 155) of mothers were born in the USA. About 20 % of infants (n = 39) had non-isolated SB and 87.9 % (n = 175) had hydrocephalus. Approximately 25 % (n = 50) of infants were born preterm.
Table 1.
Characteristics | All infants (n = 199) | Time-to-repair
|
p value | ||||
---|---|---|---|---|---|---|---|
Timely repair day 0–2 (n = 152) | Later repair after day 2 (n = 47) | ||||||
|
|
|
|||||
n | (%) | n | (%) | n | (%) | ||
Maternal | |||||||
Age (years) | |||||||
<25 | 86 | (42.3) | 65 | (42.8) | 21 | (44.7) | 0.876 |
25–29 | 52 | (26.1) | 39 | (25.7) | 13 | (27.7) | |
≥30 | 61 | (30.6) | 48 | (31.6) | 13 | (27.7) | |
Race/ethnicity | |||||||
Non-Hispanic White | 104 | (52.3) | 80 | (52.6) | 24 | (51.1) | 0.978 |
Non-Hispanic Black | 43 | (21.6) | 33 | (21.7) | 10 | (21.3) | |
Hispanic | 49 | (24.6) | 37 | (24.3) | 12 | (25.5) | |
Other | NR | NR | NR | NR | NR | NR | |
Nativity | |||||||
Born in United States | 155 | (77.9) | 117 | (77.0) | 38 | (80.9) | 0.576 |
Foreign-born | 44 | (22.1) | 35 | (23.0) | 9 | (19.1) | |
Marital status | |||||||
Married | 118 | (59.3) | 87 | (57.2) | 31 | (66.0) | 0.288 |
Not married | 81 | (40.7) | 65 | (42.8) | 16 | (34.0) | |
Education | |||||||
No high school diploma | 50 | (25.4) | 36 | (24.0) | 14 | (29.8) | 0.426 |
High school diploma or more | 147 | (74.6) | 114 | (76.0) | 33 | (70.2) | |
Missing | NR | NR | NR | NR | NR | NR | |
Residential ruralitya | |||||||
Urban/urban cluster | 165 | (82.9) | 127 | (83.6) | 38 | (80.9) | 0.667 |
Rural | 34 | (17.1) | 25 | (16.4) | 9 | (19.1) | |
Infant | |||||||
Sex | |||||||
Female | 92 | (51.8) | 74 | (48.7) | 18 | (38.3) | 0.212 |
Male | 107 | (48.2) | 78 | (51.3) | 29 | (27.1) | |
SB typeb | |||||||
Isolated | 160 | (80.4) | 124 | (81.6) | 36 | (76.6) | 0.452 |
Non-isolated | 39 | (19.6) | 28 | (18.4) | 11 | (23.4) | |
Hydrocephalus | |||||||
No | 24 | (12.1) | 13 | (8.6) | 11 | (23.4) | 0.006 |
Yes | 175 | (87.9) | 139 | (91.4) | 36 | (76.6) | |
Preterm birth (<37 weeks gestation) | |||||||
No | 149 | (74.9) | 109 | (71.7) | 40 | (85.1) | 0.064 |
Yes | 50 | (25.1) | 43 | (28.3) | 7 | (14.9) | |
Low birth weight (<2500 g) | |||||||
No | 172 | (86.9) | 131 | (86.8) | 41 | (87.2) | 0.932 |
Yes | 26 | (13.1) | 20 | (13.3) | 6 | (12.8) | |
Deathc | |||||||
No death | 190 | (95.5) | 144 | (94.7) | 46 | (97.9) | 0.452 |
Death during infancy | NR | NR | NR | NR | NR | NR | |
Death during ages 1–4 years | NR | NR | NR | NR | NR | NR | |
Health care system | |||||||
Prenatal cared | |||||||
Adequate care | 146 | (73.3) | 109 | (73.2) | 37 | (74.0) | 0.362 |
Less than adequate care | 43 | (21.6) | 35 | (23.4) | 8 | (16.0) | |
Missing | 10 | (0.1) | NR | NR | NR | NR | |
Payer at birth hospitalizatione | |||||||
Public payer | 111 | (55.8) | 83 | (54.6) | 28 | (59.6) | 0.549 |
Private payer | 88 | (44.2) | 69 | (45.4) | 19 | (40.6) | |
Birth hospital nursery care levelf | |||||||
Level III | 167 | (83.9) | 134 | (88.2) | 33 | (70.2) | 0.003 |
Level I or II | 32 | (16.1) | 18 | (11.8) | 14 | (29.8) | |
Inter-hospital transferg | |||||||
No inter-hospital transfer | 137 | (68.8) | 110 | (72.4) | 27 | (57.5) | 0.116 |
Transfer within 3 days of birth | 61 | (30.6) | 41 | (27.0) | 30 | (42.6) | |
Transfer after 3 days | NR | NR | NR | NR | NR | NR |
Columns may not add to 100 % because of missing or unknown values
p values compare repairs by day 2 to those after day 2 and are considered statistically significant at <0.05, noted in italics
NR not reported due to small cell counts
Residential rurality was identified using geocoded maternal residence and 2000 US Census data
Isolated SB was defined as SB with no additional major coded defects other than the sequence of defects related to SB
All deaths occurred during study period, January 1, 1998, through December 31, 2008
Adequacy of prenatal care was determined using the Kotelchuck Index. Based on Kotelchuck scoring, adequate and adequate plus were considered “adequate care”; inadequate and intermediate care were considered “less than adequate care”
Public insurance included Medicare, Medicaid, and KidCare insurance. Private included employer-based insurance, including military coverage [Civilian Health and Medical Program of the Uniformed Services (CHAMPUS) or TriCare]
Level III is the highest level of hospital nursery care
Inter-hospital transfers were identified when hospital discharge records showed that an infant was admitted to a hospital on the same day the infant was discharged from another hospital or if a 1-day difference existed between a discharge from one hospital and an admission to another hospital
We found that 76.4 % (n = 152) of infants had surgical repair by day 2 (data not shown). About 14 % (n = 28) had a surgical repair between days 3 and 7; 9.5 % (n = 19) had a surgical repair after day 7. Mean time-to-repair for all infants was 2.5 days (standard deviation, 3.7 days) and median time-to-repair was 1.0 day (interquartile range, 1.0 day) (results not shown). Although mean time-to-repair varied, infants with isolated SB, non-isolated SB, and hydrocephalus all had a median time-to-repair of 1.0 day (results not shown).
SB type was not associated with time-to-repair (p = 0.452). However, the infants with hydrocephalus (p = 0.006) and those born in a hospital with level III nursery care (p = 0.003) were more likely to have timely SB repair (Table 1).
Multivariable results
After multivariable adjustment, the presence of hydrocephalus and preterm birth were associated with an increased likelihood for timely repair (aPR = 1.48, 95 % CI 1.02–2.14 and (aPR = 1.19, 95 % CI 1.01–1.41, respectively). Infants who were born in a hospital with a lower nursery care level (I or II) were less likely to have a timely repair (aPR: 0.71, 95 % CI 0.52–0.98) than infants born in a hospital with level III nursery care (Table 2).
Table 2.
Characteristics | All infants with SB (n = 199)
|
|||
---|---|---|---|---|
Unadjusted
|
Adjusted
|
|||
uPR | (95 % CI) | aPR | (95 % CI) | |
Maternal | ||||
Age (years) | ||||
<25 | 0.97 | (0.82–1.14) | 0.94 | (0.77–1.15) |
25–29 | 1.00 | 1.00 | ||
≥30 | 1.15 | (0.87–1.22) | 0.95 | (0.82–1.21) |
Race/ethnicity | ||||
Non-Hispanic White | 1.00 | 1.00 | ||
Non-Hispanic Black | 1.02 | (0.84–1.24) | 0.96 | (0.77–1.20) |
Hispanic | 0.97 | (0.79–1.18) | 0.99 | (0.79–1.25) |
Nativity | ||||
Born in United States | 1.00 | 1.00 | ||
Foreign-born | 1.04 | (0.87–1.25) | 1.12 | (0.93–1.35) |
Marital status | ||||
Married | 1.00 | 1.00 | ||
Not married | 1.11 | (0.95–1.30) | 1.14 | (0.94–1.40) |
Education | ||||
High school diploma or more | 1.00 | 1.00 | ||
No high school diploma | 0.90 | (0.73–1.11) | 0.88 | (0.71–1.09) |
Residential ruralitya | ||||
Urban/urban cluster | 1.00 | 1.00 | ||
Rural | 0.93 | (0.74–1.18) | 0.96 | (0.76–1.22) |
Infant | ||||
Sex | ||||
Female | 1.00 | 1.00 | ||
Male | 0.89 | (0.76–1.04) | 0.91 | (0.78–1.07) |
SB typeb | ||||
Isolated | 1.00 | 1.00 | ||
Non-isolated | 0.99 | (0.81–1.22) | 1.05 | (0.86–1.29) |
Hydrocephalus | ||||
No | 1.00 | 1.00 | ||
Yes | 1.46 | (1.01–1.37) | 1.48 | (1.02–2.14) |
Preterm birth (< 37 weeks) | ||||
No | 1.00 | 1.00 | ||
Yes | 1.17 | (1.01–1.37) | 1.19 | (1.01–1.41) |
Health care system | ||||
Prenatal carec | ||||
Adequate care | 1.00 | 1.00 | ||
Less than adequate care | 1.08 | (0.91–1.29) | 1.11 | (0.93–1.33) |
Payer at birth hospitalizationd | ||||
Private payer | 1.00 | 1.00 | ||
Public payer | 0.96 | (0.82–1.12) | 0.88 | (0.74–1.05) |
Birth hospital nursery care levele | ||||
Level III | 1.00 | 1.00 | ||
Level I or II | 0.72 | (0.52–1.00) | 0.71 | (0.52–0.98) |
Values in italics are statistically significant. Adjusted model was adjusted for all covariates in table
uPR unadjusted prevalence ratio, aPR adjusted prevalence ratio, 95 % CI 95 % confidence interval
Residential rurality was identified using geocoded maternal residence and 2000 US Census data
SB type: isolated SB was SB with no additional coded major defects other than the sequence of defects related to SB
Adequacy of prenatal care was determined using the Kotelchuck Index. Based on Kotelchuck scoring, adequate and adequate plus were considered “adequate care”; inadequate and intermediate care were considered “less than adequate care”
All payers were expected payers. Public insurance included Medicare, Medicaid, and KidCare insurance. Private included employer-based insurance, including military coverage [Civilian Health and Medical Program of the Uniformed Services (CHAMPUS) or TriCare]
Level III is the highest level of hospital nursery care
Discussion
Consistent with our first hypothesis, the majority of infants who had a postnatal surgical repair of SB had their repair within the first few days of life. The proportion of infants who had a repair at ≤2 days was somewhat lower (76.4 %) than reported in other recent studies [17, 33]. However, one study excluded roughly 40 % of hospital discharges for infants with surgical repair for SB that did not have either both a procedural code for MMC repair and a known age at repair or a code for MC repair during the first 4 days [17]. In contrast, our findings for a cohort of infants with a coded MMC repair provide the first population-based estimate of the frequency of the first surgical repair in infants with SB before and after 2 days.
Consistent with our second hypothesis, infants who had hydrocephalus were more likely to have a timely repair than infants who did not have hydrocephalus. Our finding of timely repair among almost 90 % of infants with hydrocephalus suggests that most infants with the most severe form of SB had a surgical repair within the first 2 days of life [21].
We found that infants born in a hospital with level I or II nursery care were less likely to have a timely surgical repair. The lower likelihood of timely repair among infants born in hospitals with lower levels of nursery care may result from lack of prenatal diagnoses and subsequent lack of appropriate referrals, the added time needed for transfer to a hospital with higher level of nursery care for treatment, or because of less medical need.
Preterm infants with SB also were more likely to have a repair of MMC ≤2 days compared to term infants. Although we hypothesized that this finding was associated with the birth hospital level of nursery care, we found no evidence of confounding or correlation between preterm birth and level of nursery care in relation to timing of repair.
Finally, we found no differences in the timing of SB repair by SB type. The additional diagnoses associated with non-isolated SB may not require care that would influence surgical repair of SB.
Limitations and strengths
This study was limited by several factors. The FBDR identifies infants using passive surveillance methodologies, which may lead to under-reporting or misreporting of infants with birth defects. However, the FBDR’s overall case ascertainment for SB without anencephaly was 88.0 % [30, 31]. In addition, ICD-9-CM diagnostic codes do not differentiate between MMC, MC, and myelocele cases.
We unexpectedly found that only 52.5 % of infants who had a recorded birth hospitalization and survived the neonatal period had a recorded postnatal surgical repair. We examined nationwide claims data for both publicly insured and privately insured infants with spina bifida hospitalizations and found similarly low rates of documented surgical repair. Future research comparing surgical repairs recorded in medical records with repairs reported in administrative data is needed to explain what appear to be low rates of surgical repair of MMC in both the Florida data and other nationwide databases.
Although data from 108 Florida hospitals are represented in these data [11], not all hospitals are required to report to the AHCA. Most non-reporting hospitals do not provide newborn care [13]. However, the Shriners Hospital for Children in Tampa, Florida, is a non-reporting hospital that specializes in providing surgical care for children and maintains an out-patient SB clinic. We were unable to obtain data from the Shriners Hospital for Children in Tampa. A report on the economic costs of birth defects estimated that the two Shriners hospitals in California accounted for less than 2 % of medical costs associated with SB [41]; this result suggests that the number of repairs at the Shriners Hospital in Tampa may have been modest. Although the lack of data from the Shriners Hospital is a limitation, it should not bias our results.
We were also not able to determine if an infant had a pre-natal surgical repair of SB. While no information on prenatal surgical repair of SB was available from the data, we know that no prenatal repairs occurred in the study sample in Florida after February 2003 because of hospital agreements associated with the Management of Myelomeningocele Study (MOMS) clinical trial [2]. We had no information on prenatal repairs that may have occurred before that time, however. The effects of the concurrent MOMS research on the outcomes of our study are unknown.
Our study also has several strengths. This study used statewide, population-based birth defects registry data of unduplicated infants from a large, racially, and ethnically diverse population [15]. In addition, our data included hospitalizations for unique infants followed over time, rather than using data from unidentified hospitalizations, which can represent the same infants admitted multiple times. Finally, we included both publicly insured and privately insured infants in the analyses.
Conclusions
Results of this study showed that most infants with post-natal closure of SB had the repair in the first 2 days of life. Infants with hydrocephalus, a likely proxy for MMC, were more likely to have a timely repair. Infants born in hospitals with lower level nursery care were less likely to have a timely repair.
These findings have implications for public health. Programs that advocate for SB awareness, such as the Spina Bifida Association of Central Florida’s 2012 campaign Redefining Spina Bifida [35], are important for increasing public awareness of prenatal screening for SB. Prenatal diagnosis of SB can facilitate counseling [29, 32] and planning for birth in a hospital with a higher level of nursery care, thus improving the opportunity for timely repair.
Timeliness of postnatal surgical repair of SB warrants further research on several fronts. Collaborative multi-state, population-based studies linking multiple birth defects registries and hospital discharge data would be useful to further examine timeliness of surgical repair of SB and related factors. An understanding of patterns and predictors of timely care is important to inform coordination of service delivery and adherence to care standards by health planners and practitioners, particularly those serving CSHCN, such as children with birth defects like SB.
Acknowledgments
The authors thank the FBDR within the FDOH, the FDOH Children’s Medical Services Program, and the Florida AHCA for data accessibility and acquisition. We also thank Jean Paul Tanner, MPH with the University of South Florida, Jason Salemi, PhD, MPH with Baylor College of Medicine, and Marie Bailey, MA, MSW with the FDOH for consultations on data linkages and variables. In addition, we thank Adrienne Henderson, MPH with AHCA, Florida Center for Health Information and Policy Analysis, Gloria Barker, BS also with AHCA, Florida Center for Health Information and Policy Analysis, and Karen Freeman, MPH, MS with the FDOH for consultations on hospital discharge data and hospitals. Finally, we thank Phoebe Thorpe, MD, MPH from CDC’s NCBDDD for her clinical recommendations on diagnostic and procedural coding, and April Dawson, MPH, also with the NCBDDD, for her SAS expertise and assistance in variable construction.
Grant information This project was supported in part by Research Grant #5-FY09–533 from the March of Dimes Foundation.
Footnotes
Portions of preliminary results were presented at the American Public Health Association annual meeting, New Orleans, LA, November 15–19, 2014.
Compliance with ethical standards The Institutional Review Boards at the University of North Carolina at Charlotte, the FDOH, and CDC approved this study.
Conflict of interest The authors report no conflict of interest concerning the materials or methods used in this study or the findings specified in this paper.
The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention. The authors have no financial relationships relevant to this article to disclose.
References
- 1.Aday LA, Andersen R. A framework for the study of access to medical care. Health Serv Res. 1974;9:208–220. [PMC free article] [PubMed] [Google Scholar]
- 2.Adzick NS, Thom EA, Spong CY, et al. A randomized trial of prenatal versus postnatal repair of myelomeningocele. New Engl J Med. 2011;364:993–1004. doi: 10.1056/NEJMoa1014379. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.American Academy of Pediatrics Committee on Fetus and Newborn. Levels of neonatal care. Pediatrics. 2004;114:1341–1347. doi: 10.1542/peds.2004-1697. [DOI] [PubMed] [Google Scholar]
- 4.Bennett KS, Davis GH, Tulipan N, Brunner JP. Fetal surgery for myelomeningocele. In: Wyszynski DF, editor. Neural tube defects: from origin to treatment. Oxford University Press; New York: 2006. pp. 217–230. [Google Scholar]
- 5.Cassell CH, Daniels J, Meyer RE. Timeliness of primary cleft lip/palate surgery. Cleft Palate-Cran J. 2009;46:588–597. doi: 10.1597/08-154.1. [DOI] [PubMed] [Google Scholar]
- 6.Cassell CH, Grosse SD, Thorpe PG, Howell EE, Meyer RE. Health care expenditures among children with and those without spina bifida enrolled in Medicaid in North Carolina. Birth Defects Res A. 2011;91:1019–1027. doi: 10.1002/bdra.22864. [DOI] [PubMed] [Google Scholar]
- 7.Cassell CH, Strassle P, Mendez DD, Lee KA, Krohmer A, Meyer RE, Strauss RP. Barriers to care for children with orofacial clefts in North Carolina. Birth Defects Res A. 2014;100:837–847. doi: 10.1002/bdra.23303. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Chance A, Sandberg DI. Hydrocephalus in patients with closed neural tube defects. Child Nerv Syst. 2015;31:329–332. doi: 10.1007/s00381-014-2492-6. [DOI] [PubMed] [Google Scholar]
- 9.Charney EB, Weller SC, Sutton LN, Bruce DA, Schut LB. Management of the newborn with myelomeningocele: time for a decision-making process. Pediatrics. 1985;75:58–64. [PubMed] [Google Scholar]
- 10.Colvin L, Bower C. A retrospective population-based study of childhood hospital admissions with record linkage to a birth defects registry. BMC Pediatr. 2009;9:1–13. doi: 10.1186/1471-2431-9-32. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Delmelle EM, Cassell CH, Dony C, Radcliff E, Tanner JP, Siffel C, Kirby RS. Modeling travel impedance to medical care for children with birth defects using geographic information systems. Birth Defects Res A. 2013;97:673–684. doi: 10.1002/bdra.23168. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Florida Agency for Health Care Administration (AHCA) Health data, hospital discharge data: effective 1988–2005. AHCA; 2014. [Accessed 31 March 2016]. Available via http://www.floridahealthfinder.gov/Researchers/OrderData/order-data.aspx. [Google Scholar]
- 13.Florida Agency for Health Care Administration (AHCA) Florida agency for health care administration, disclaimer. AHCA; 2013. [Accessed 31 March 2016]. Available via http://www.floridahealthfinder.gov/CompareCare/Disclaimer.aspx. [Google Scholar]
- 14.Gamache FW., Jr Treatment of hydrocephalus in patients with meningomyelocele or encephalocele: a recent series. Child Nerv Sys. 1995;11:487–488. doi: 10.1007/BF00334972. [DOI] [PubMed] [Google Scholar]
- 15.Hamilton B, Martin J, Ventura S. National Vital Statistics Reports. Vol. 60. National Center for Health Statistics; Hyattsville, MD: 2011. Births: preliminary data for 2010. [Google Scholar]
- 16.Kotelchuck M. An evaluation of the Kessner adequacy of prenatal care index and a proposed adequacy of prenatal care utilization index. Am J Public Health. 1994;84:1414–1420. doi: 10.2105/ajph.84.9.1414. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Kshettry VR, Kelly ML, Rosenbaum BP, Seicean A, Hwang L, Weil RJ. Myelomeningocele: surgical trends and predictors of outcome in the United States, 1988–2010. J Neuros-Pediatr. 2014;13:666–678. doi: 10.3171/2014.3.PEDS13597. [DOI] [PubMed] [Google Scholar]
- 18.Lisi A, Botto LD, Robert-Gnansia E, et al. Surveillance of adverse fetal effects of medications (SAFE-Med): findings from the international clearinghouse of birth defects surveillance and research. Reprod Toxicol. 2010;29:433–442. doi: 10.1016/j.reprotox.2010.03.005. [DOI] [PubMed] [Google Scholar]
- 19.Lorch SA, Baiocchi M, Ahlberg CE, Small DS. The differential impact of delivery hospital on the outcomes of premature infants. Pediatrics. 2012;130:270–278. doi: 10.1542/peds.2011-2820. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Merkens MJ the Spina Bifida Association’s Professional Advisory Council. Guidelines for spina bifida health care services throughout the lifespan. 3. Washington, DC: Spina Bifida Association of America; 2006. [Google Scholar]
- 21.Miller JP, Cohen AR. Postnatal surgery for myelomeningocele. In: Wyszynski DF, editor. Neural tube defects: from origin to treatment. Oxford University Press; New York: 2006. pp. 231–240. [Google Scholar]
- 22.Moore C. Classification of neural tube defects. In: Wyszynski DF, editor. Neural tube defects: from origin to treatment. Oxford University Press; New York: 2006. pp. 66–75. [Google Scholar]
- 23.National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH) Spina bifida. NIH; 2013. [Accessed 31 March 2016]. Available via http://www.ninds.nih.gov/disorders/spina_bifida/detail_spina_bifida.htm#241483258. [Google Scholar]
- 24.Pinto FC, Matushita H, Furlan AL, et al. Surgical treatment of myelomeningocele carried out at ‘time zero’ immediately after birth. Pediatr Neurosurg. 2009;45:114–118. doi: 10.1159/000209285. [DOI] [PubMed] [Google Scholar]
- 25.Radcliff E, Delmelle E, Kirby RS, Laditka SB, Correia J, Cassell CH. Travel time and distance to access hospital care among children with spina bifida. Matern Child Health J. 2016;20:205–217. doi: 10.1007/s10995-015-1820-0. [DOI] [PubMed] [Google Scholar]
- 26.Rasmussen SA, Olney RS, Holmes LB, Lin AE, Keppler-Noreuil KM, Moore CA. Guidelines for case classification for the National Birth Defects Prevention Study. Birth Defects Res A. 2003;67:193–201. doi: 10.1002/bdra.10012. [DOI] [PubMed] [Google Scholar]
- 27.Rasmussen SA, Whitehead N, Collier SA, Frias JL. Setting a public health research agenda for Down syndrome: summary of a meeting sponsored by the Centers for Disease Control and Prevention and the National Down Syndrome Society. Am J Med Genet A. 2008;146A:2998–3010. doi: 10.1002/ajmg.a.32581. [DOI] [PubMed] [Google Scholar]
- 28.Rasmussen SA, Yazdy MM, Frias JL, Honein MA. Priorities for public health research on craniosynostosis: summary and recommendations from a Centers for Disease Control and Prevention-sponsored meeting. Am J Med Genet A. 2008;146A:149–158. doi: 10.1002/ajmg.a.32106. [DOI] [PubMed] [Google Scholar]
- 29.Roberts CD, Stough LD, Parrish LH. The role of genetic counseling in the elective termination of pregnancies involving fetuses with disabilities. J Spec Educ. 2002;36:48–55. doi: 10.1177/00224669020360010501. [DOI] [PubMed] [Google Scholar]
- 30.Salemi JL, Tanner JP, Block S, et al. The relative contribution of data sources to a birth defects registry utilizing passive multisource ascertainment methods: does a smaller birth defects case ascertainment net lead to overall or disproportionate loss? J Registry Manag. 2011;38:30–38. [PubMed] [Google Scholar]
- 31.Salemi JL, Tanner JP, Kennedy S, et al. A comparison of two surveillance strategies for selected birth defects in Florida. Public Health Rep. 2012;127:391–400. doi: 10.1177/003335491212700407. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Saxton M. Prenatal screening and discriminatory attitudes about disability. Women Health. 1988;13:217–224. doi: 10.1300/j013v13n01_20. [DOI] [PubMed] [Google Scholar]
- 33.Sin AH, Rashidi M, Caldito G, Nanda A. Surgical treatment of myelomeningocele: year 2000 hospitalization, outcome, and cost analysis in the US. Child Nerv Syst. 2007;23:125–1127. doi: 10.1007/s00381-007-0375-9. [DOI] [PubMed] [Google Scholar]
- 34.Skinner AC, Slifkin RT. Rural/urban differences in barriers to and burden of care for children with special health care needs. J Rural Health. 2007;23:150–157. doi: 10.1111/j.1748-0361.2007.00082.x. [DOI] [PubMed] [Google Scholar]
- 35.Spina Bifida Association of Central Florida (SBACFL) Redefining spina bifida. SBACFL; 2013. [Accessed 31 March 2016]. Available via http://sbacentralflorida.org/about-us/redefining-spina-bifida/ [Google Scholar]
- 36.Steinbok P, Irvine B, Cochrane DD, Irwin BJ. Long-term outcome and complications of children born with meningomyelocele. Child Nerv Sys. 1992;8:92–96. doi: 10.1007/BF00298448. [DOI] [PubMed] [Google Scholar]
- 37.Strickland BB, Singh GK, Kogan MD, Mann MY, van Dyck PC, Newacheck PW. Access to the medical home: new findings from the 2005–2006 National Survey of Children with Special Health Care Needs. Pediatrics. 2009;123:e996–1004. doi: 10.1542/peds.2008-2504. [DOI] [PubMed] [Google Scholar]
- 38.Tarcan T, Onol FF, Ilker Y, Alpay H, Simsek F, Oze M. The timing of primary neurosurgical repair significantly affects neurogenic bladder prognosis in children with myelomeningocele. J Urology. 2006;176:1161–1165. doi: 10.1016/j.juro.2006.04.042. [DOI] [PubMed] [Google Scholar]
- 39.United States Census Bureau. Geography: census 2000 urban and rural classification. U.S. Census Bureau; 2000. [Accessed 31 March 2016]. Available via http://www.census.gov/geo/reference/ua/urban-rural-2000.html. [Google Scholar]
- 40.Valderas JM, Starfield B, Sibbal B, Salisbury C, Roland M. Defining comorbidity: implications for understanding health and health services. Ann Fam Med. 2009;7:357–363. doi: 10.1370/afm.983. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Waitzman NJ, Romano PS, Scheffler RM. The cost of birth defects. University Press of America; Lanham, MD: 1996. pp. 78–79. [Google Scholar]
- 42.Yazdy MM, Honein MA, Rasmussen SA, Frias JL. Priorities for future public health research in orofacial clefts. Cleft Palate-Cran J. 2007;44:351–357. doi: 10.1597/06-233.1. [DOI] [PubMed] [Google Scholar]
- 43.Zou G. A modified Poisson regression approach to prospective studies with binary data. Am J Epidemiol. 2004;159:702–706. doi: 10.1093/aje/kwh090. [DOI] [PubMed] [Google Scholar]