Dataset Information

Predicting Preterm Birth Among Women Screened by North Carolina's Pregnancy Medical Home Program.

ABSTRACT: To determine which combination of risk factors from Community Care of North Carolina's (CCNC) Pregnancy Medical Home (PMH) risk screening form was most predictive of preterm birth (PTB) by parity and race/ethnicity.This retrospective cohort included pregnant Medicaid patients screened by the PMH program before 24 weeks gestation who delivered a live birth in North Carolina between September 2011-September 2012 (N = 15,428). Data came from CCNC's Case Management Information System, Medicaid claims, and birth certificates. Logistic regression with backward stepwise elimination was used to arrive at the final models. To internally validate the predictive model, we used bootstrapping techniques.The prevalence of PTB was 11 %. Multifetal gestation, a previous PTB, cervical insufficiency, diabetes, renal disease, and hypertension were the strongest risk factors with odds ratios ranging from 2.34 to 10.78. Non-Hispanic black race, underweight, smoking during pregnancy, asthma, other chronic conditions, nulliparity, and a history of a low birth weight infant or fetal death/second trimester loss were additional predictors in the final predictive model. About half of the risk factors prioritized by the PMH program remained in our final model (ROC = 0.66). The odds of PTB associated with food insecurity and obesity differed by parity. The influence of unsafe or unstable housing and short interpregnancy interval on PTB differed by race/ethnicity.Evaluation of the PMH risk screen provides insight to ensure women at highest risk are prioritized for care management. Using multiple data sources, salient risk factors for PTB were identified, allowing for better-targeted approaches for PTB prevention.

SUBMITTER: Tucker CM

PROVIDER: S-EPMC4764378 | biostudies-literature | 2015 Nov

REPOSITORIES: biostudies-literature

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Predicting Preterm Birth Among Women Screened by North Carolina's Pregnancy Medical Home Program.

Tucker Christine M CM Berrien Kate K Menard M Kathryn MK Herring Amy H AH Daniels Julie J Rowley Diane L DL Halpern Carolyn Tucker CT

Maternal and child health journal 20151101 11

<h4>Objective</h4>To determine which combination of risk factors from Community Care of North Carolina's (CCNC) Pregnancy Medical Home (PMH) risk screening form was most predictive of preterm birth (PTB) by parity and race/ethnicity.<h4>Methods</h4>This retrospective cohort included pregnant Medicaid patients screened by the PMH program before 24 weeks gestation who delivered a live birth in North Carolina between September 2011-September 2012 (N = 15,428). Data came from CCNC's Case Management ...[more]

PMID: 26112751

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Project description:ObjectivesTo compare receipt of contraception and method effectiveness in the early postpartum period among women with and without a recent preterm birth (PTB).MethodsWe used data from North Carolina birth certificates linked to Medicaid claims. We assessed contraceptive claims with dates of service within 90 days of delivery among a retrospective cohort of women who had a live birth covered by Medicaid between September 2011 and 2012 (n = 58,201). To estimate the odds of receipt of contraception by PTB status (24-36 weeks compared to 37-42 weeks [referent]), we used logistic regression and tested for interaction by parity. To estimate the relationship between PTB and method effectiveness based on the Center for Disease Control and Prevention Levels of Effectiveness of Family Planning Methods (most, moderate and least effective [referent]), we used multinomial logistic regression.ResultsLess than half of all women with a live birth covered by Medicaid in North Carolina had a contraceptive claim within 90 days postpartum. Women with a recent PTB had a lower prevalence of contraceptive receipt compared to women with a term birth (45.7% vs. 49.6%). Women who experienced a PTB had a lower odds of receiving contraception. When we stratified by parity, women with a PTB had a lower odds of contraceptive receipt among women with more than two births (0.79, 95% CI 0.74-0.85), but not among women with two births or fewer. One-fourth of women received a most effective method. Women with a preterm birth had a lower odds of receiving a most effective method (0.83, 95% CI 0.77-0.88) compared to women with a term birth.Conclusions for practiceContraceptive receipt was low among women with a live birth covered by Medicaid in North Carolina. To optimize contraceptive use among women at risk for subsequent preterm birth, family planning strategies that are responsive to women's priorities and context, including a history of preterm birth, are needed.SignificanceAccess to free or affordable highly effective contraception is associated with reductions in preterm birth. Self-report data indicate that women with a very preterm birth (PTB) are less likely to use highly or moderately effective contraception postpartum compared to women delivering at later gestational ages. Using Medicaid claims data, we found that less than half of all women with a Medicaid covered delivery in North Carolina in 2011-2012 had a contraceptive claim within 90 days postpartum, and one fourth received a most effective method. Women with a PTB and more than two children were least likely to receive any method. Family planning strategies that are responsive to women's priorities and context, including a history of preterm birth, are needed so that women may access their contraceptive method of choice in the postpartum period.

Project description:Despite decades of attempts to link infectious agents to preterm birth, an exact causative microbe or community of microbes remains elusive. Nonculture 16S ribosomal RNA gene sequencing suggests important racial differences and pregnancy specific changes in the vaginal microbial communities. A recent study examining the association of the vaginal microbiome and preterm birth documented important findings but was performed in a predominantly white cohort. Given the important racial differences in bacterial communities within the vagina as well as persistent racial disparities in preterm birth, it is important to examine cohorts with varied demographic compositions.To characterize vaginal microbial community characteristics in a large, predominantly African-American, longitudinal cohort of pregnant women and test whether particular vaginal microbial community characteristics are associated with the risk for subsequent preterm birth.This is a nested case-control study within a prospective cohort study of women with singleton pregnancies, not on supplemental progesterone, and without cervical cerclage in situ. Serial mid-vaginal swabs were obtained by speculum exam at their routine prenatal visits. Sequencing of the V1V3 region of the 16S rRNA gene was performed on the Roche 454 platform. Alpha diversity community characteristics including richness, Shannon diversity, and evenness as well as beta diversity metrics including Bray Curtis Dissimilarity and specific taxon abundance were compared longitudinally in women who delivered preterm to those who delivered at term.A total of 77 subjects contributed 149 vaginal swabs longitudinally across pregnancy. Participants were predominantly African-American (69%) and had a preterm birth rate of 31%. In subjects with subsequent term delivery, the vaginal microbiome demonstrated stable community richness and Shannon diversity, whereas subjects with subsequent preterm delivery had significantly decreased vaginal richness, diversity, and evenness during pregnancy (P < .01). This change occurred between the first and second trimesters. Within-subject comparisons across pregnancy showed that preterm birth is associated with increased vaginal microbiome instability compared to term birth. No distinct taxa were associated with preterm birth.In a predominantly African-American population, a significant decrease of vaginal microbial community richness and diversity is associated with preterm birth. The timing of this suppression appears early in pregnancy, between the first and second trimesters, suggesting that early gestation may be an ecologically important time for events that ordain subsequent term and preterm birth outcomes.

Project description:Objective To develop a pre-pregnancy or first-trimester risk score to identify women at high risk of preterm birth. Study design In this retrospective cohort analysis, the sample was drawn from California singleton livebirths from 2007 to 2012 with linked birth certificate and hospital discharge records. The dataset was divided into a training (2/3 of sample) and a testing (1/3 of sample) set for discovery and validation. Predictive models for preterm birth using pre-pregnancy or first-trimester maternal factors were developed using backward stepwise logistic regression on a training dataset. A risk score for preterm birth was created for each pregnancy using beta-coefficients for each maternal factor remaining in the final multivariable model. Risk score utility was replicated in a testing dataset and by race/ethnicity and payer for prenatal care. Results The sample included 2,339,696 pregnancies divided into training and testing datasets. Twenty-three maternal risk factors were identified including several that were associated with a two or more increased odds of preterm birth (preexisting diabetes, preexisting hypertension, sickle cell anemia, and previous preterm birth). Approximately 40% of women with a risk score ? 3.0 in the training and testing samples delivered preterm (40.6% and 40.8%, respectively) compared to 3.1-3.3% of women with a risk score of 0.0 [odds ratio (OR) 13.0, 95% confidence interval (CI) 10.7-15.8, training; OR 12.2, 95% CI 9.4-15.9, testing). Additionally, over 18% of women with a risk score ? 3.0 had an adverse outcome other than preterm birth. Conclusion Maternal factors that are identifiable prior to pregnancy or during the first-trimester can be used create a cumulative risk score to identify women at the lowest and highest risk for preterm birth regardless of race/ethnicity or socioeconomic status. Further, we found that this cumulative risk score could also identify women at risk for other adverse outcomes who did not have a preterm birth. The risk score is not an effective screening test, but does identify women at very high risk of a preterm birth.

Dataset Information

Predicting Preterm Birth Among Women Screened by North Carolina's Pregnancy Medical Home Program.

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Predicting Preterm Birth Among Women Screened by North Carolina's Pregnancy Medical Home Program.

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