Perinatal periods of risk: analysis of fetal-infant mortality rates in Kansas City, Missouri

Perinatal Periods of Risk Analysis: Disentangling Race and Socioeconomic Status to Inform a Black Infant Mortality Community Action Initiative

Objectives The goal of this study is to use Perinatal Periods of Risk (PPOR) analysis to differentiate broad areas of risk (Maternal-Health/Prematurity, Maternal Care, Newborn Care, and Infant Health) associated with being Black from those associated with being poor. Methods Phase I PPOR compared two target populations (Black women/infants and poor women/infants) against a gold standard reference group (White, non-Hispanic women, aged 20+ years with 13+ years of education), then against each other. Phase II PPOR further partitioned excess risk into (1) Very-low-birthweight-risk and (2) Birthweight-specific-mortality-risk and identified individual-level risk factors. Results Phase I PPOR revealed Black excess mortality within the Maternal-Health/Prematurity category (67% of total excess mortality). Phase II PPOR revealed that Black excess mortality within this category was primarily due to premature deliveries of very-low-birthweight infants. In a unique extension of the PPOR methodology, a poverty-excess-PPOR was subtracted from the Black-excess-PPOR, and showed that Black women have substantial excess mortality above and beyond that associated with poverty. Subsequent analyses to identify Black-specific risks, controlling for poverty, found that vaginal bleeding, premature rupture of membranes, history of preterm delivery, and having no prenatal care significantly predicted preterm delivery. Conclusions This study demonstrated the utility of PPOR, a standardized risk assessment approach for focusing health promotion efforts. In the study community, PPOR identified that maternal preconception and prenatal factors contributed the greatest risk for Black infants due to prematurity and low birthweight. Higher socioeconomic status did little to mitigate this risk. These findings informed a community-wide plan that integrated evidence-based strategies for addressing systematic racial inequity with strategies for addressing systematic socioeconomic disadvantage.

Very low birth weight and perinatal periods of risk: disparities in St. Louis

Objective. Very low birth weight (VLBW) is a significant issue in St. Louis, Missouri. Our study evaluated risk factors associated with VLBW in this predominantly urban community. Methods. From 2000 to 2009, birth and fetal death certificates were evaluated (n = 160, 189), and mortality rates were calculated for perinatal periods of risk. The Kitagawa method was used to explore fetoinfant mortality rates (FIMR) in terms of birth weight distribution and birthweight specific mortality. Multivariable logistic regression was used to assess the magnitude of association of selected risk factors with VLBW. Results. VLBW contributes to 50% of the excess FIMR in St. Louis City and County. The highest proportion of VLBW can be attributed to black maternal race (40.6%) in St. Louis City, inadequate prenatal care (19.8%), and gestational hypertension (12.0%) among black women. Medicaid was found to have a protective effect for VLBW among black women (population attributable risk (PAR) = −14.5). Discussion. Interventions targeting the health of women before and during conception may be most successful at reducing the disparities in VLBW in this population. Interventions geared towards smoking cessation and improvements in Medicaid and prenatal care access for black mothers and St. Louis City residents can greatly reduce VLBW rates.

The impact of social disadvantage on preconception health, illness, and well-being: an intersectional analysis

PURPOSE

To understand how social and structural contexts shape individual risk, vulnerability, and interconception health-related behaviors of African-American women. APPROACH OR DESIGN: A longitudinal ethnographic study was conducted.

SETTING

The study was conducted in Philadelphia, Pennsylvania.

PARTICIPANTS

The sample included 19 African-American women who were participants in the intervention group of a randomized clinical trial of interconceptional care.

METHOD

Data were collected through interaction with participants over a period of 6 to 12 months. Participant observation , structured and unstructured interviews, and Photovoice were used to obtain data; grounded theory was used for analysis. The analysis was guided by intersectional theory.

RESULTS

Social disadvantage influenced health and health care-seeking behaviors of African-American women, and the disadvantage centered on the experience of racism. The authors identify seven experiences grounded in the interactions among the forces of racism, class, gender, and history that may influence women's participation in and the effectiveness of preconception and interconception health care.

CONCLUSION

African-American women's health and wellness behaviors are influenced by an experience of racism structurally embedded and made more virulent by its intersection with class, gender, and history. These intersecting forces create what may be a unique exposure that contributes significantly to the proximal determinants of health inequities for African-American women. Health promotion approaches that focus on the individual as the locus of intervention must concomitantly unravel and address the intertwining structural forces that shape individual circumstance in order to improve women's interconceptional health and to reduce disparities.

Racial and ethnic health disparities in reproductive medicine: an evidence-based overview

Racial and ethnic health disparities in reproductive medicine exist across the life span and are costly and burdensome to our healthcare system. Reduction and ultimate elimination of health disparities is a priority of the National Institutes of Health who requires reporting of race and ethnicity for all clinical research it supports. Given the increasing rates of admixture in our population, the definition and subsequent genetic significance of self-reported race and ethnicity used in health disparity research is not straightforward. Some groups have advocated using self-reported ancestry or carefully selected single-nucleotide polymorphisms, also known as ancestry informative markers, to sort individuals into populations. Despite the limitations in our current definitions of race and ethnicity in research, there are several clear examples of health inequalities in reproductive medicine extending from puberty and infertility to obstetric outcomes. We acknowledge that socioeconomic status, education, insurance status, and overall access to care likely contribute to the differences, but these factors do not fully explain the disparities. Epigenetics may provide the biologic link between these environmental factors and the transgenerational disparities that are observed. We propose an integrated view of health disparities across the life span and generations focusing on the metabolic aspects of fetal programming and the effects of environmental exposures. Interventions aimed at improving nutrition and minimizing adverse environmental exposures may act synergistically to reverse the effects of these epigenetic marks and improve the outcome of our future generations.

Barriers to women's participation in inter-conceptional care: a cross-sectional analysis

Background

We describe participation rates in a special interconceptional care program that addressed all commonly known barriers to care, and identify predictors of the observed levels of participation in this preventive care service.

Methods

A secondary analysis of data from women in the intervention arm of an interconceptional care clinical trial in Philadelphia (n = 442). Gelberg-Andersen Behavioral Model for Vulnerable Populations to Health Services (herein called Andersen model) was used as a theoretical base. We used a multinomial logit model to analyze the factors influencing women's level of participation in this enhanced interconceptional care program.

Results

Although common barriers were addressed, there was variable participation in the interconceptional interventions. The Andersen model did not explain the variation in interconceptional care participation (Wald ch sq = 49, p = 0.45). Enabling factors (p = 0.058), older maternal age (p = 0.03) and smoking (p = < 0.0001) were independently associated with participation.

Conclusions

Actively removing common barriers to care does not guarantee the long-term and consistent participation of vulnerable women in preventive care. There are unknown factors beyond known barriers that affect participation in interconceptional care. New paradigms are needed to identify the additional factors that serve as barriers to participation in preventive care for vulnerable women.

Very low birth weight births in Georgia, 1994-2005: trends and racial disparities

OBJECTIVE

To investigate the nature of very low birth weight (VLBW) births in Georgia-a major contributor to the overall and the black-white disparity in infant mortality-as a step toward elucidating strategies for reducing VLBW births.

METHODS

This population-based retrospective cohort study utilized maternally linked vital records data from Georgia to examine the status of and contributors to the VLBW rate for non-Hispanic blacks and whites by comparing trends in the proportion represented by singleton versus multiple gestations, first versus recurrent events, and specific subtypes over three, consecutive 4-year periods (1994-1996 through 2003-2005); and logistic regression to model the risk of various subtypes of VLBW as a function of maternal and obstetrical characteristics.

RESULTS

Georgia's VLBW rate remained unchanged from 1994-1996 to 2003-2005, although there was a significant decrease in the rates of twin and first VLBW and a significant increase in recurrent VLBW. For both first and recurrent VLBW, there was a statistically significant increase for blacks and a decrease for whites. The strongest risk factor for a VLBW birth of any subtype for blacks and whites was a prior VLBW, with recurrent VLBW accounting for 4.8-16% of all VLBW depending upon the subtype.

CONCLUSION

From 1994-1996 to 2003-2005, the rate of recurrent VLBW increased while the rate of first VLBW decreased in Georgia. For both first and recurrent VLBW, the black-white disparity widened. Because the strongest risk factor for a VLBW birth is a previous one, there is a need to identify strategies to prevent a woman's first VLBW birth and to reduce recurrences.

Risk factors for perinatal deaths in Pakistan

AIM

The aim of this study was to identify the risk factors for perinatal deaths in Pakistan, where perinatal mortality is still very high.

MATERIALS AND METHODS

This prospective cohort study was conducted in Sindh Government Lyari General Hospital, Karachi from 1 May 2006 to 30 April 2008. During this period, all perinatal deaths and each live infant delivered following every perinatal death (which were taken as controls) were enrolled. Demographic information, birthweight, booking status, associated obstetric risk factors, stillbirth or neonatal death and the cause of death were recorded. Univariate logistic regression was used to determine the effect of categorized weight, booking status, sex and the obstetric risk factors on perinatal death.

RESULTS

A total of 1103 deliveries were conducted during this period with 119 perinatal deaths. Stillbirths constituted 68.9% while there were early neonatal deaths in 31.1% cases. Booking status, gestational age, weight of fetus and the presence of obstetric risk factors were found to have significant (P-value < 0.05) association with perinatal deaths. Among the obstetric risk factors, abruptio placentae was the commonest (13.4%) and the commonest cause of death was identified as birth asphyxia (44.5%). There was a strong association between birthweight and perinatal death.

CONCLUSIONS

The high perinatal death rate in this study is comparable to other hospital-based studies and indicates the poor health status, inadequate prenatal and intranatal care and lack of services in our setup. In order to achieve the Millennium Development Goals-4, much work is needed to improve the quality of care, to identify high-risk cases and to carry out their proper management.

Perinatal periods of risk: analytic preparation and phase 1 analytic methods for investigating feto-infant mortality

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

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.

Perinatal periods of risk: a community approach for using data to improve women and infants' health

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.

Addressing Perinatal Disparities in Urban Setting: Using Community Based Participatory Research

Striking racial disparities in infant mortality exist in the United States, with rates of infant death among African Americans (AA) nearly twice the national average. Community-based participatory research (CBPR) approaches have been successful in fostering collaborative relationships between communities and researchers focused on developing effective and sustainable interventions and programs targeting needs of the community. The current paper details use of the Perinatal Period of Risk (PPOR) model as a method to engage communities by identifying factors influencing racial disparities in infant mortality and examining changes in those factors over a ten year period.

Secular trends in excess fetal and infant mortality using perinatal periods of risk analysis

Perinatal periods of risk (PPOR) provide an alternative analytical approach to studying infant mortality. Results can be used to focus community activities to improve infant and maternal health. This article demonstrates the use of PPOR to monitor trends in excess fetal and infant mortality related to disparities associated with race and ethnicity in Kansas City, MO (KC). Based on a comparison of PPOR analyses for 1996-2000 and 2001-2005, there was a 30% reduction in excess fetal and infant mortality in Kansas City and reductions for both non-Hispanic blacks (17%) and non-Hispanic whites (66.7%). However, the disparity ratio for excess mortality rates between non-Hispanic blacks and non-Hispanic whites nearly doubled. Prematurity, the most frequent cause of infant mortality in Kansas City during 2001-2005 accounted for 42.5% of the infant deaths. Being a teenage mother; having less than a high-school education; being unmarried; having an unintended pregnancy; being obese preconceptually; being diabetic; using substances such as tobacco or drugs during pregnancy; receiving late, inadequate or intermediate amounts of prenatal care; having a multifetal pregnancy; having a primary elective cesarean section; delivering a preterm infant or having a male infant; and being enrolled in Medicaid all increased the risk of infant death.

Excess Hispanic fetal-infant mortality in a midwestern community

OBJECTIVE

We assessed excess fetal-infant mortality for Hispanic, non-Hispanic white, and non-Hispanic black populations in five contiguous counties of Missouri and Kansas.

METHODS

We conducted a perinatal periods of risk (PPOR) assessment of fetal-infant mortality using electronic linked birth-death record files from 2001 through 2005. We generated an internal reference group in accordance with established PPOR protocol. We used Kitagawa analysis to determine whether excess deaths were due to birthweight distribution (a higher frequency of prematurity or growth retardation) or to higher mortality rates once born at that birthweight (birthweight-specific mortality).

RESULTS

We found the excess fetal-infant death rates for Hispanic and non-Hispanic white populations to be similar and considerably lower than that for non-Hispanic black populations. Among Hispanic children, we judged 21.6% of fetal-infant mortality to be excess in relation to the reference population. Within the PPOR matrix, Hispanic excess mortality rates were distributed differently from those of non-Hispanic white and non-Hispanic black populations. Among Hispanic children, 93.6% of the excess mortality could be explained by low birthweight and birthweight-specific mortality, with the greatest contribution attributable to low birthweight.

CONCLUSION

The excess fetal-infant mortality experience of Hispanic people in the five-county region was similar to that of the non-Hispanic white population, but was distributed differently in the PPOR model, which has significance regarding interventions targeting reductions in fetal-infant mortality.

Perinatal Periods of Risk Analysis of Infant Mortality in Jackson County, Missouri

The perinatal periods of risk (PPOR) methodology provides an easy-to-use analytical approach to infant mortality that helps focus community initiatives for improving maternal and infant health. Because few analyses have been published, many public health practitioners may be unfamiliar with PPOR. This article demonstrates the application of PPOR analysis using infant mortality in Jackson County, Missouri. While the PPOR consists of two phases, this analysis was restricted to the initial phase of the overall process. The second phase builds on the initial findings and prioritizes the contributing factors of fetal/infant mortality so that targeted interventions can be developed. For Jackson County, the PPOR analysis found that racial and geographic disparities existed and, for very low-birth-weight infants, different interventions strategies may be needed on the basis of race. In addition, a mother who experienced a fetal or infant death was more likely to have had a medical risk factor, to have smoked cigarettes, to have started prenatal care after the first trimester or received no prenatal care, and to have been nulliparous.

Longitudinal patterns of breastfeeding initiation

Objectives: Information regarding the type and scope of preconception care programs in the United States is scant. We evaluated State Title V measurement and indicator data and abstracts presented at the National Summit on Preconception Care (June 2005) in order to identify existing programs and innovative strategies for preconception health promotion.

Methods: We used the web-based Title V Information System to identify state Performance Measures and Priority Needs pertaining to preconception health as reported for the 2005–2010 Needs Assessment Cycle. We also present a detailed summary of the abstracts presented at the National Summit on Preconception Care.

Results: A total of 23 states reported a Priority Need that focused on preconception health and health care. Forty-two states and jurisdictions identified a Performance Measure associated with preconception health or a related indicator (e.g., folic acid, birth spacing, family planning, unintended pregnancy, and healthy weight). Nearly 60 abstracts pertaining to preconception care were presented at the National Summit and included topics such as research, programs, patient or provider toolkits, clinical practice strategies, and public policy.

Conclusions: Strategies for improving preconception health have been incorporated into numerous programs throughout the United States. Widespread recognition of the benefits of preconception health promotion is evidenced by the number of states identifying related indicators.