Last data update: May 06, 2024. (Total: 46732 publications since 2009)
Records 1-17 (of 17 Records) |
Query Trace: Sappenfield WM[original query] |
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Variations in Low-Risk Cesarean Delivery Rates in the United States Using the Society for Maternal-Fetal Medicine Definition
Ouyang L , Cox S , Ferre C , Xu L , Sappenfield WM , Barfield W . Obstet Gynecol 2022 139 (2) 235-243 OBJECTIVE: To assess variations in low-risk cesarean delivery rates in the United States using the Society for Maternal-Fetal Medicine (SMFM) definition of low-risk for cesarean delivery and to identify factors associated with low-risk cesarean deliveries. METHODS: From hospital discharge data in the 2018 National Inpatient Sample and State Inpatient Databases, we identified deliveries that were low-risk for cesarean delivery using the SMFM definition based on the International Classification of Diseases, Tenth Revision, Clinical Modification codes. We estimated national low-risk cesarean delivery rates overall and by patient characteristics, clinically relevant conditions not included in the SMFM definition, and hospital characteristics based on the nationally representative sample of hospital discharges in the National Inpatient Sample. Multivariate logistic regressions were estimated for the national sample to identify factors associated with low-risk cesarean delivery. We reported low-risk cesarean delivery rates for 27 states and the District of Columbia based on the annual state data that represented the universe of hospital discharges from participating states in the State Inpatient Databases. RESULTS: Of an estimated 3,634,724 deliveries in the 2018 National Inpatient Sample, 2,484,874 low-risk deliveries met inclusion criteria. The national low-risk cesarean delivery rate in 2018 was 14.6% (95% CI 14.4-14.8%). The rates varied widely by state (range 8.9-18.6%). Nationally, maternal age older than 40 years, non-Hispanic Black or Asian race, private insurance as primary payer, admission on weekday, obesity, diabetes, or hypertension, large metropolitan residence, and hospitals of the South census region were associated with low-risk cesarean delivery. CONCLUSION: Approximately one in seven low-risk deliveries was by cesarean in 2018 in the United States using the SMFM definition and the low-risk cesarean delivery rates varied widely by state. |
Assessing the burden of neonatal abstinence syndrome: Validation of ICD-9-CM data, Florida, 2010-2011
Phillips-Bell GS , Holicky A , Lind JN , Sappenfield WM , Hudak ML , Petersen E , Anjorhin S , Watkins SM , Creanga AA , Correia JA . J Public Health Manag Pract 2020 26 (1) E1-e8 CONTEXT: On October 1, 2015, the United States transitioned from using the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) to ICD-10-CM. Continuing to monitor the burden of neonatal abstinence syndrome (NAS) after the transition presently requires use of data dependent on ICD-9-CM coding to enable trend analyses. Little has been published on the validation of using ICD-9-CM codes to identify NAS cases. OBJECTIVE: To assess the validity of hospital discharge data (HDD) from selected Florida hospitals for passive NAS surveillance, based on ICD-9-CM codes, which are used to quantify baseline prevalence of NAS. DESIGN: We reviewed infant and maternal data for all births at 3 Florida hospitals from 2010 to 2011. Potential NAS cases included infants with ICD-9-CM discharge codes 779.5 and/or 760.72 in linked administrative data (ie, HDD linked to vital records) or in unlinked HDD and infants identified through review of neonatal intensive care unit admission logs or inpatient pharmacy records. Confirmed infant cases met 3 clinician-proposed criteria. Sensitivity and positive predictive value were calculated to assess validity for the 2 ICD-9-CM codes, individually and combined. RESULTS: Of 157 confirmed cases, 134 with 779.5 and/or 760.72 codes were captured in linked HDD (sensitivity = 85.4%) and 151 in unlinked HDD (sensitivity = 96.2%). Positive predictive value was 74.9% for linked HDD and 75.5% for unlinked HDD. For either HDD types, the single 779.5 code had the highest positive predictive value (86%), lowest number of false positives, and good to excellent sensitivity. CONCLUSIONS: Passive surveillance using ICD-9-CM code 779.5 in either linked or unlinked HDD identified NAS cases with reasonable validity. Our work supports the use of ICD-9-CM code 779.5 to assess the baseline prevalence of NAS through 2015. |
Gestational weight loss: Comparison between the birth certificate and the medical record, Florida, 2012
Kim SY , Bailey MA , Richardson J , McFarland CAS , Sappenfield WM , Luke S , Sharma AJ . Matern Child Health J 2018 23 (2) 148-154 Objective Examine agreement with the medical record (MR) when gestational weight loss (GWL) on the Florida birth certificate (BC) is >/= 0 pounds (lbs). Methods In 2012, 3923 Florida-resident women had a live, singleton birth where BC indicated GWL >/= 0 lbs. Of these, we selected a stratified random sample of 2141 and abstracted from the MR prepregnancy and delivery weight data used to compute four estimates of GWL (delivery minus prepregnancy weight) from different sources found within the MR (first prenatal visit record, nursing admission record, labor/delivery records, BC worksheet). We assessed agreement between the BC and MR estimates for GWL categorized as 0, 1-10, 11-19, and >/= 20 lbs. Results Prepregnancy or delivery weight was missing or source not in the MR for 23-81% of records. Overall agreement on GWL between the BC and the four MR estimates ranged from 39.1 to 57.2%. Agreement by GWL category ranged from 10.6 to 38.0% for 0 lbs, 47.6 to 64.3% for 1-10 lbs, 49.5 to 60.0% for 11-19 lbs, and 47.8 to 67.7% for >/= 20 lbs. Conclusions Prepregnancy and delivery weight were frequently missing from the MR or inconsistently documented across the different sources. When the BC indicated GWL >/= 0 lbs, agreement with different sources of the MR was moderate to poor revealing the need to reduce missing data and better understand the quality of weight data in the MR. |
Importance of performance measurement and MCH epidemiology leadership to quality improvement initiatives at the national, state and local levels
Rankin KM , Gavin L , Moran JW Jr , Kroelinger CD , Vladutiu CJ , Goodman DA , Sappenfield WM . Matern Child Health J 2016 20 (11) 2239-2246 Purpose In recognition of the importance of performance measurement and MCH epidemiology leadership to quality improvement (QI) efforts, a plenary session dedicated to this topic was presented at the 2014 CityMatCH Leadership and MCH Epidemiology Conference. This paper summarizes the session and provides two applications of performance measurement to QI in MCH. Description Performance measures addressing processes of care are ubiquitous in the current health system landscape and the MCH community is increasingly applying QI processes, such as Plan-Do-Study-Act (PDSA) cycles, to improve the effectiveness and efficiency of systems impacting MCH populations. QI is maximally effective when well-defined performance measures are used to monitor change. Assessment MCH epidemiologists provide leadership to QI initiatives by identifying population-based outcomes that would benefit from QI, defining and implementing performance measures, assessing and improving data quality and timeliness, reporting variability in measures throughout PDSA cycles, evaluating QI initiative impact, and translating findings to stakeholders. MCH epidemiologists can also ensure that QI initiatives are aligned with MCH priorities at the local, state and federal levels. Two examples of this work, one highlighting use of a contraceptive service performance measure and another describing QI for peripartum hemorrhage prevention, demonstrate MCH epidemiologists' contributions throughout. Challenges remain in applying QI to complex community and systems-level interventions, including those aimed at improving access to quality care. Conclusion MCH epidemiologists provide leadership to QI initiatives by ensuring they are data-informed and supportive of a common MCH agenda, thereby optimizing the potential to improve MCH outcomes. |
The impact of ART on live birth outcomes: Differing experiences across three states
Luke S , Sappenfield WM , Kirby RS , McKane P , Bernson D , Zhang Y , Chuong F , Cohen B , Boulet SL , Kissin DM . Paediatr Perinat Epidemiol 2016 30 (3) 209-16 BACKGROUND: Research has shown an association between assisted reproductive technology (ART) and adverse birth outcomes. We identified whether birth outcomes of ART-conceived pregnancies vary across states with different maternal characteristics, insurance coverage for ART services, and type of ART services provided. METHODS: CDC's National ART Surveillance System data were linked to Massachusetts, Florida, and Michigan vital records from 2000 through 2006. Maternal characteristics in ART- and non-ART-conceived live births were compared between states using chi-square tests. We performed multivariable logistic regression analyses and calculated adjusted odds ratios (aOR) to assess associations between ART use and singleton preterm delivery (<32 weeks, <37 weeks), singleton small for gestational age (SGA) (<5th and <10th percentiles) and multiple birth. RESULTS: ART use in Massachusetts was associated with significantly lower odds of twins as well as triplets and higher order births compared to Florida and Michigan (aOR 22.6 vs. 30.0 and 26.3, and aOR 37.6 vs. 92.8 and 99.2, respectively; Pinteraction < 0.001). ART use was associated with increased odds of SGA in Michigan only, and with preterm delivery (<32 and <37 weeks) in all states (aOR range: 1.60, 1.87). CONCLUSIONS: ART use was associated with an increased risk of preterm delivery among singletons that showed little variability between states. The number of twins, triplets and higher order gestations per cycle was lower in Massachusetts, which may be due to the availability of insurance coverage for ART in Massachusetts. |
Infant and maternal characteristics in neonatal abstinence syndrome - selected hospitals in Florida, 2010-2011
Lind JN , Petersen EE , Lederer PA , Phillips-Bell GS , Perrine CG , Li R , Hudak M , Correia JA , Creanga AA , Sappenfield WM , Curran J , Blackmore C , Watkins SM , Anjohrin S . MMWR Morb Mortal Wkly Rep 2015 64 (8) 213-6 Neonatal abstinence syndrome (NAS) is a constellation of physiologic and neurobehavioral signs exhibited by newborns exposed to addictive prescription or illicit drugs taken by a mother during pregnancy. The number of hospital discharges of newborns diagnosed with NAS has increased more than 10-fold (from 0.4 to 4.4 discharges per 1,000 live births) in Florida since 1995, far exceeding the three-fold increase observed nationally. In February 2014, the Florida Department of Health requested the assistance of CDC to 1) assess the accuracy and validity of using Florida's hospital inpatient discharge data, linked to birth and infant death certificates, as a means of NAS surveillance and 2) describe the characteristics of infants with NAS and their mothers. This report focuses only on objective two, describing maternal and infant characteristics in the 242 confirmed NAS cases identified in three Florida hospitals during a 2-year period (2010-2011). Infants with NAS experienced serious medical complications, with 97.1% being admitted to an intensive care unit, and had prolonged hospital stays, with a mean duration of 26.1 days. The findings of this investigation underscore the important public health problem of NAS and add to current knowledge on the characteristics of these mothers and infants. Effective June 2014, NAS is now a mandatory reportable condition in Florida. Interventions are also needed to 1) increase the number and use of community resources available to drug-abusing and drug-dependent women of reproductive age, 2) improve drug addiction counseling and rehabilitation referral and documentation policies, and 3) link women to these resources before or earlier in pregnancy. |
Assisted reproductive technology and the risk of preterm birth among primiparas
Dunietz GL , Holzman C , McKane P , Li C , Boulet SL , Todem D , Kissin DM , Copeland G , Bernson D , Sappenfield WM , Diamond MP . Fertil Steril 2015 103 (4) 974-979 e1 OBJECTIVE: To investigate the risk of preterm birth among liveborn singletons to primiparas who conceived with assisted reproductive technology (ART) using four mutually exclusive categories of infertility (female infertility only, male infertility only, female and male infertility, and unexplained infertility) and to examine preterm birth risk along the gestational age continuum. DESIGN: Retrospective cohort study. SETTING: Michigan (2000-2009), Massachusetts and Florida (2000-2010). PATIENT(S): Singletons born to primiparas who conceived with or without ART. INTERVENTION(S): None. MAIN OUTCOME MEASURE(S): Preterm (<37 weeks' gestation) and preterm/early term birth <39 weeks' gestation). RESULT(S): For the male infertility only, female infertility only, combined male and female infertility, and unexplained infertility groups, ART-conceived singletons were significantly more likely than non-ART singletons to be born preterm: adjusted odds ratio (aOR) 1.24 (95% CI, 1.13, 1.37), aOR 1.60 (95% CI, 1.50, 1.70), aOR 1.49 (95% CI, 1.35, 1.64), and aOR 1.26 (1.12, 1.43) respectively. Among infants whose mothers were diagnosed with infertility, the odds of preterm birth were highest between 28-30 weeks [female infertility only, aOR 1.95 (95% CI, 1.59, 2.39); male and female infertility: 2.21 (95% CI, 1.62, 3.00)] compared with infants in the general population. Within the ART population, singletons of couples with female infertility only were more likely to be born preterm than singletons born to couples with other infertility diagnoses. CONCLUSION(S): Among singleton births to primiparas, those conceived with ART had an increased risk for preterm birth, even when only the male partner had been diagnosed with infertility. The risk of preterm birth for ART-conceived infants whose mothers were diagnosed with infertility included the earliest deliveries. |
Ascertainment of medicaid payment for delivery on the Iowa birth certificate: is accuracy sufficient for timely policy and program relevant analysis?
Kane DJ , Sappenfield WM . Matern Child Health J 2014 18 (4) 970-7 The Iowa Department of Public Health annually links Medicaid claims data to the birth certificate. Because the latest version of the birth certificate provides more timely and less costly information on delivery payment source, we were interested in assessing the validity and reliability of the birth certificate payment source compared to Medicaid paid claims. We linked Medicaid paid claims to birth certificates for calendar years 2007-2009 (n = 120,626). We measured reliability by Kappa statistic and validity by sensitivity, specificity, predictive value positive and negative. We examined reliability and validity overall and by maternal characteristics (e.g. age, race, ethnicity, education). The Kappa statistic for the birth certificate payment source indicated substantial agreement (0.78; 95 % CL 0.78-0.79). Sensitivity and specificity were also high, 86.3 % (95 % CL 86.0-86 6 %) and 91.9 % (95 % CL 91.7-92.1 %), respectively. The predictive value positive was 87.0 %. The predictive value negative was 91.4 %. Kappa and specificity were lower among women of racial and ethnic minorities, women younger than age 24, and women with less education. The overall Kappa, sensitivity and specificity generally suggest the birth certificate payment source is as valid and reliable as the linked data source. The birth certificate payment source is less valid and reliable for women of racial and ethnic minorities, women younger than age 24, and those with less education. Consequently caution should be exercised when using the birth certificate payment source for monitoring service use by the Medicaid population within specific population subgroups. |
Comprehensive review of sleep-related sudden unexpected infant deaths and their investigations: Florida 2008
Sauber-Schatz EK , Sappenfield WM , Shapiro-Mendoza CK . Matern Child Health J 2014 19 (2) 381-90 To describe 2008 Florida sleep-related sudden unexpected infant deaths (SUIDs) by describing (a) percentage distribution of medical examiner (ME) cause-of-death determinations; (b) mortality rates by maternal and infant characteristics; (c) prevalence of selected suffocation or sudden infant death syndrome (SIDS) risk and protective factors; (d) frequency of selected scene investigation and autopsy components (including extent of missing data); and (e) percentage with public health program contact. In this population-based study, we identified sleep-related SUIDs occurring among Florida residents from the 2008-linked Florida infant death and birth certificates. Information about the circumstances of death was abstracted from ME, law enforcement, and hospital records. We used frequencies and percentages to describe characteristics of sleep-related SUID cases. Of 215 sleep-related SUID cases, MEs identified 47.9 % as accidental suffocation and strangulation in bed, 35.4 % as unknown or undetermined cause, and 16.7 % as SIDS. Sleep-related SUID most frequently occurred in an adult bed (n = 108; 50.2 %). At death, 82.4 % of sleep-related SUIDs had ≥1 suffocation or SIDS risk factor with 54.4 % infants sharing a sleep surface, 38.1 % placed nonsupine, 24.2 % placed on a pillow, and 10.2 % having head covering. Missing data frequently resulted from incomplete scene investigation and autopsy components. SUID contributed to ≥1 in seven Florida infant deaths in 2008. Approximately 80 % of sleep-related SUIDs were reported among infants placed in unsafe sleeping environments. Effective interventions are needed to promote safe sleep among caregivers of Florida infants. These interventions must reach infant caregivers at highest risk and change unsafe sleep practices. The substantial percentage of missing investigation data reinforces the need for standardized reporting. |
Contributors to excess infant mortality in the U.S. South
Hirai AH , Sappenfield WM , Kogan MD , Barfield WD , Goodman DA , Ghandour RM , Lu MC . Am J Prev Med 2014 46 (3) 219-27 BACKGROUND: Infant mortality rates (IMRs) are disproportionally high in the U.S. South; however, the proximate contributors that could inform regional action remain unclear. PURPOSE: To quantify the components of excess infant mortality in the U.S. South by maternal race/ethnicity, underlying cause of death, and gestational age. METHODS: U.S. Period Linked Birth/Infant Death Data Files 2007-2009 (analyzed in 2013) were used to compare IMRs between the South (U.S. Public Health Regions IV and VI) and all other regions combined. RESULTS: Compared to other regions, there were 1.18 excess infant deaths per 1000 live births in the South, representing about 1600 excess infant deaths annually. New Mexico and Texas did not have elevated IMRs relative to other regions; excess death rates among other states ranged from 0.62 per 1000 in Kentucky to 3.82 per 1000 in Mississippi. Racial/ethnic compositional differences, generally the greater proportion of non-Hispanic black births in the South, explained 59% of the overall regional difference; the remainder was mostly explained by higher IMRs among non-Hispanic whites. The leading causes of excess Southern infant mortality were sudden unexpected infant death (SUID; 36%, range=12% in Florida to 90% in Kentucky) and preterm-related death (22%, range= -71% in Kentucky to 51% in North Carolina). Higher rates of preterm birth, predominantly <34 weeks, accounted for most of the preterm contribution. CONCLUSIONS: To reduce excess Southern infant mortality, comprehensive strategies addressing SUID and preterm birth prevention for both non-Hispanic black and white births are needed, with state-level findings used to tailor state-specific efforts. |
Perinatal periods of risk: a community approach for using data to improve women and infants' health
Peck MG , Sappenfield WM , Skala J . Matern Child Health J 2010 14 (6) 864-74 This paper provides an overview of the origins, purpose, and methods of the Perinatal Periods of Risk (PPOR) approach to community-based planning for action to improve maternal and infant health outcomes. PPOR includes a new analytic framework that enables urban communities to better understand and address fetal and infant mortality. This article serves as the core reference for accompanying specific PPOR methods and practice articles. PPOR is based on core principles of full community engagement and equity and follows a six stage community-based planning process. In Stage 1, communities are mobilized and engaged, related planning efforts aligned, and community and analytic readiness assessed. In Stage 2, feto-infant mortality is mapped, excess mortality is estimated, likely causes of feto-infant mortality are determined, and appropriate actions are suggested. Stage 3 produces action plans for targeted prevention strategies. Stages 4 and 5 include implementation, monitoring, and evaluation. Stage 6 fosters political will to sustain efforts. PPOR can be used in local maternal child health (MCH) practice for improving perinatal outcomes. MCH programs can use PPOR to integrate health assessments, initiate planning, identify significant gaps, target more in-depth inquiry, and suggest clear interventions for lowering feto-infant mortality. PPOR enables greater cooperation in improving MCH through more effective data use, strengthened data capacity, and greater shared understanding of complex infant mortality issues. PPOR offers local health departments and their community partners a comprehensive approach to address the health of women and infants in their jurisdictions. |
The impact of the availability of school vending machines on eating behavior during lunch: the Youth Physical Activity and Nutrition Survey
Park S , Sappenfield WM , Huang Y , Sherry B , Bensyl DM . J Am Diet Assoc 2010 110 (10) 1532-6 Childhood obesity is a major public health concern and is associated with substantial morbidities. Access to less-healthy foods might facilitate dietary behaviors that contribute to obesity. However, less-healthy foods are usually available in school vending machines. This cross-sectional study examined the prevalence of students buying snacks or beverages from school vending machines instead of buying school lunch and predictors of this behavior. Analyses were based on the 2003 Florida Youth Physical Activity and Nutrition Survey using a representative sample of 4,322 students in grades six through eight in 73 Florida public middle schools. Analyses included chi2 tests and logistic regression. The outcome measure was buying a snack or beverage from vending machines 2 or more days during the previous 5 days instead of buying lunch. The survey response rate was 72%. Eighteen percent of respondents reported purchasing a snack or beverage from a vending machine 2 or more days during the previous 5 school days instead of buying school lunch. Although healthier options were available, the most commonly purchased vending machine items were chips, pretzels/crackers, candy bars, soda, and sport drinks. More students chose snacks or beverages instead of lunch in schools where beverage vending machines were also available than did students in schools where beverage vending machines were unavailable: 19% and 7%, respectively (P≤0.05). The strongest risk factor for buying snacks or beverages from vending machines instead of buying school lunch was availability of beverage vending machines in schools (adjusted odds ratio=3.5; 95% confidence interval, 2.2 to 5.7). Other statistically significant risk factors were smoking, non-Hispanic black race/ethnicity, Hispanic ethnicity, and older age. Although healthier choices were available, the most common choices were the less-healthy foods. Schools should consider developing policies to reduce the availability of less-healthy choices in vending machines and to reduce access to beverage vending machines. |
Recognizing excellence in Maternal and Child Health (MCH): 2009 National MCH epidemiology awards
Kroelinger CD , Sappenfield WM . Matern Child Health J 2010 14 (6) 822-6 Since 2000, the Coalition for Excellence in Maternal and Child Health (MCH) Epidemiology has recognized the significant contributions of individuals and organizations to improve the health of women, children, infants, and families by giving the National MCH Epidemiology Awards. The awards are presented annually at the MCH Epidemiology Conference. These awards are supported each year by sixteen national health organizations, and all should be commended for recognizing and promoting continuing excellence in the field of MCH epidemiology (Table 1) The Coalition for Excellence in MCH Epidemiology defines MCH Epidemiology in the following way: | Table 1 Coalition for excellence in maternal and child health (MCH) epidemiology member organizations | Full size table | The systematic collection, analysis, and interpretation of population-based and program-specific health and related data in order to assess the distribution and determinants of the health status and needs of the maternal child population for the purpose of planning, implementing, and assessing effective, science-based strategies and promoting policy development [1]. |
Perinatal Periods of Risk: analytic preparation and phase 1 analytic methods for investigating feto-infant mortality
Sappenfield WM , Peck MG , Gilbert CS , Haynatzka VR , Bryant T3rd . Matern Child Health J 2010 14 (6) 838-50 The Perinatal Periods of Risk (PPOR) methods provide the necessary framework and tools for large urban communities to investigate feto-infant mortality problems. Adapted from the Periods of Risk model developed by Dr. Brian McCarthy, the six-stage PPOR approach includes epidemiologic methods to be used in conjunction with community planning processes. Stage 2 of the PPOR approach has three major analytic parts: Analytic Preparation, which involves acquiring, preparing, and assessing vital records files; Phase 1 Analysis, which identifies local opportunity gaps; and Phase 2 Analyses, which investigate the opportunity gaps to determine likely causes of feto-infant mortality and to suggest appropriate actions. This article describes the first two analytic parts of PPOR, including methods, innovative aspects, rationale, limitations, and a community example. In Analytic Preparation, study files are acquired and prepared and data quality is assessed. In Phase 1 Analysis, feto-infant mortality is estimated for four distinct perinatal risk periods defined by both birthweight and age at death. These mutually exclusive risk periods are labeled Maternal Health and Prematurity, Maternal Care, Newborn Care, and Infant Health to suggest primary areas of prevention. Disparities within the study community are identified by comparing geographic areas, subpopulations, and time periods. Excess mortality numbers and rates are estimated by comparing the study population to an optimal reference population. This excess mortality is described as the opportunity gap because it indicates where communities have the potential to make improvement. |
Perinatal Periods of Risk: phase 2 analytic methods for further investigating feto-infant mortality
Sappenfield WM , Peck MG , Gilbert CS , Haynatzka VR , Bryant T3rd . Matern Child Health J 2010 14 (6) 851-63 The perinatal periods of risk (PPOR) methods provide a framework and tools to guide large urban communities in investigating their feto-infant mortality problem. The PPOR methods have 11 defined steps divided into three analytic parts: (1) Analytic Preparation; (2) Phase 1 Analysis-identifying the opportunity gaps or populations and risk periods with largest excess mortality; and (3) Phase 2 Analyses-investigating these opportunity gaps. This article focuses on the Phase 2 analytic methods, which systematically investigate the opportunity gaps to discover which risk and preventive factors are likely to have the largest effect on improving a community's feto-infant mortality rate and to provide additional information to better direct community prevention planning. This article describes the last three PPOR epidemiologic steps for investigating identified opportunity gaps: identifying the mechanism for excess mortality; estimating the prevalence of risk and preventive factors; and estimating the impact of these factors. While the three steps provide a common strategy, the specific analytic details are tailored for each of the four perinatal risk periods. This article describes the importance, prerequisites, alternative approaches, and challenges of the Phase 2 methods. Community examples of the methods also are provided. |
Assessment of the Institute of Medicine recommendations for weight gain during pregnancy: Florida, 2004-2007
Park S , Sappenfield WM , Bish C , Salihu H , Goodman D , Bensyl DM . Matern Child Health J 2010 15 (3) 289-301 We investigated the association between 2009 IOM recommendations and adverse infant outcomes by maternal prepregnancy body mass index (BMI). Birth outcomes for 570,672 women aged 18-40 years with a singleton full-term live-birth were assessed using 2004-2007 Florida live-birth certificates. Outcomes included large-for-gestational-age (LGA) and small-for-gestational-age (SGA). Associations between gestational weight change and outcomes were assessed for 10 BMI groups by calculating proportions, and logistic regression modeling was used to produce adjusted odds ratios (aORs) to account for the effect of confounders. We created comparison categories below and above recommendations using 2009 IOM recommendations as a reference. Of importance, 41.6% of women began pregnancy as overweight and obese and 51.2% gained weight excessively during pregnancy on the basis of 2009 IOM recommendations. Proportions of LGA were higher among obese women and increased with higher weight gain. Compared with recommended weight gain, aORs for LGA were lower with less than recommended gain (aOR range: 0.27-0.77) and higher with more than recommended gain (aOR range: 1.27-5.99). However, SGA was less prevalent among obese women, and the proportion of SGA by BMI was similar with higher weight gain. Gain less than recommended was associated with increased odds of SGA (aOR range: 1.11-2.97), and gain greater than recommended was associated with decreased odds of SGA (aOR range: 0.38-0.83). Gestational weight gain influenced the risk for LGA and SGA in opposite directions. Minimal weight gain or weight loss lowered risk for LGA among obese women. Compared with 1990 IOM recommendations, 2009 recommendations include weight gain ranges that are associated with lower risk of LGA and higher risk of SGA. Awareness of these tradeoffs may assist with clinical implementation of the 2009 IOM gestational weight gain recommendations. However, our results did not consider other maternal and infant outcomes related to gestational weight gain; therefore, the findings should be interpreted with caution. |
Reliability and validity of birth certificate prepregnancy weight and height among women enrolled in prenatal WIC program: Florida, 2005
Park S , Sappenfield WM , Bish C , Bensyl DM , Goodman D , Menges J . Matern Child Health J 2009 15 (7) 851-9 To investigate the reliability and validity of weight, height, and body mass index (BMI) from birth certificates with directly measured values from the Women, Infants, and Children (WIC) Program. Florida birth certificate data were linked and compared with first trimester WIC data for women with a live birth during the last quarter of calendar year 2005 (n = 23,314 women). Mean differences for weight, height, and BMI were calculated by subtracting birth certificate values from WIC values. Reliability was estimated by Pearson's correlation. Validity was measured by sensitivity and specificity using WIC data as the reference. Overall mean differences plus or minus standard error (SE) were 1.93 +/- 0.04 kg for weight, -1.03 +/- 0.03 cm for height, and 1.07 +/- 0.02 kg/m(2) for BMI. Pearson's correlation ranged from 0.83 to 0.95, which indicates a strong positive association. Compared with other categories, women in the second weight group (56.7-65.8 kg), the highest height group (≥167.6 cm), or BMI < 18.5 had the greatest mean differences for weight (2.2 +/- 0.08 kg), height (-2.4 +/- 0.05 cm), and BMI (1.5 +/- 0.06), respectively. Mean differences by maternal characteristics were similar, but statistically significant, likely in part from the large sample size. The sensitivity for birth certificate data was 77.3% (+/-1.42) for underweight (BMI < 18.5) and 76.4% (+/-0.51) for obesity (BMI ≥ 30). Specificity was 96.8% (+/-0.12) for underweight and 97.5% (+/-0.12) for obesity. Birth certificate data had higher underweight prevalence (6 vs. 4%) and lower obesity prevalence (24 vs. 29%), compared with WIC data. Although birth certificate data overestimated underweight and underestimated obesity prevalence, the difference was minimal and has limited impact on the reliability and validity for population-based surveillance and research purposes related to recall or reporting bias. |
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