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Purpose The number of fetal deaths in the United States each year exceeds that of infant deaths. High quality fetal death certificate data are necessary for states to effectively address preventable fetal deaths. We evaluated completeness of detection of fetal deaths among Wyoming residents that occur out-of-state, quality of cause-of-death data, and timeliness of Wyoming fetal death certificate registration during 2006-2013. Description The numbers of out-of-state fetal deaths among Wyoming residents recorded by Wyoming surveillance and reported by the National Vital Statistics System were compared. Quality of cause-of-death data was assessed by calculating percentage of fetal death certificates completed in Wyoming with ill-defined, unknown, or missing cause-of-death entries. Timeliness was determined using the time between the fetal death and filing of the fetal death certificate with the Wyoming Department of Health Vital Statistics Service. Assessment Wyoming surveillance detected none of the 76 out-of-state fetal deaths among Wyoming residents reported by the National Vital Statistics System. Among 263 fetal death certificates completed in Wyoming and collected by Wyoming surveillance, 108 (41%) contained ill-defined, unknown, or missing cause-of-death entries. Median duration between the fetal death and filing with the Wyoming Vital Statistics Service was 33 days. Conclusion Wyoming fetal mortality surveillance is limited by failure to register out-of-state fetal deaths among residents, poor quality of cause-of-death data, and lack of timeliness. Strategies to improve surveillance include automating interjurisdictional sharing of fetal death data, certifier education, and electronic fetal death registration.

Introduction The U.S. infant mortality rate has been steadily declining since 2007. Although the downward trend has been notable in Alaska since 2006 when the rate was 6.9 infant deaths per 1000 live births, a dramatic drop in infant mortality occurred in 2010 and 2011 when the infant mortality rate fell to 3.8 infant deaths per 1000 live births during both years. The purpose of this study was to investigate the sudden decrease in fetal and infant mortality rates (FIMR) using the perinatal periods of risk (PPOR) method, an approach that has not been used previously in Alaska. Methods The study was conducted for 251 fetal and infant deaths in 2004–2006, 265 deaths in 2007–2009, and 129 deaths in 2010–2011. Data were stratified by Alaska Native (AN) and White maternal race and urban/rural residence. Results Among both urban and rural White women, the rate ratios (RR) for FIMRs between the earlier and later time periods were not significantly different. The postneonatal mortality rate (PNMR) among AN infants living in rural areas decreased significantly (RR 0.40; 95 % confidence interval 0.21–0.76) between 2007–2009 and 2010–2011. An unexplained increase in sudden unexplained infant death was noted in 2009, followed by a precipitous decrease in 2010–2011. No other unusual distribution of the cause specific mortality rates was observed. Discussion The decrease in the Alaska Native FIMR might have been due to focused efforts for preventing postneonatal sleep associated deaths. Education for prevention of sleep related deaths, particularly in rural communities, is necessary to maintain Alaska’s low PNMR.

Objective To review fetal and infant deaths from women enrolled in Indianapolis Healthy Start using the National Fetal and Infant Mortality Review (FIMR) methods to provide strategies for prevention. Methods: Marion County Public Health Department (MCPHD) FIMR staff identified and reviewed 22 fetal and infant deaths to Indianapolis Healthy Start program participants between 2005 and 2012. Trained FIMR nurses completed 13 of 20 maternal interviews and compiled case summaries of all deaths from the MCPHD FIMR database.. Results Case review teams identified a total of 349 family strengths, 219 contributing factors, and made 220 recommendations for future pregnancies. FIMR deliberation values for Healthy Start program participant deaths were similar to other infant deaths in Marion County during the same time period. Common themes that emerged from the reviews included lack of social support, absence of paternal involvement, substance abuse, non-compliance, and poor health behaviors leading to chronic health conditions that complicated many pregnancies. Conclusions A number of the infant deaths in this review could have been prevented with preconception and inter-conception education and by improving the quality and content of prenatal care.

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.

Common features of successful, local-level, Fetal Infant Mortality Review (FIMR) Programs are identified by the National Fetal and Infant Mortality Review (NFIMR) Program, including medical records abstraction and home interviews, case reviews by a case review team (CRT), and community systems action recommendations implemented by a community action team (CAT). This paper presents Louisiana's FIMR program, an adaptation of NFIMR recommendations. In 2001, the Louisiana Maternal and Child Health Program began a statewide FIMR Network (LaFIMR) based on the NFIMR model. Geographic areas of focus, case identification, staffing, data collection methods, and CRT and CAT membership and activities include modifications of the NFIMR recommendations unique to LaFIMR implementation. Adaptations made to the NFIMR model were advantageous to LaFIMR's success. Specifically, LaFIMR geographic areas of interest cover multiple natural communities. Compared with independent FIMR programs elsewhere, LaFIMR represents a Title V Program-based coordinated network of regional LaFIMR teams offering opportunities for expanded partnerships. Primary sources for LaFIMR case identification include obituaries and hospital logs, with secondary identification available through vital records. Improvements in vital records data systems are expected to enhance future LaFIMR case identification. LaFIMR-identified records that are linked with vital event certificates provide enhanced contextual findings for reviews and support continuous quality improvement processes. These differences in the LaFIMR implementation reinforce the NFIMR-supported uniqueness of FIMR programs across the United States, and may encourage other FIMR programs to consider how adaptations to NFIMR recommendations could benefit their programs.

States can improve pregnancy outcomes by using a standard approach to assess infant mortality. The State Infant Mortality Collaborative (SIMC) developed a series of analyses to describe infant mortality in states, identify contributing factors to infant death, and develop the evidence base for implementing new or modifying existing programs and policies addressing infant mortality. The SIMC was conducted between 2004 and 2006 among five states: Delaware, Hawaii, Louisiana, Missouri, and North Carolina. States used analytic strategies in an iterative process to investigate contributors to infant mortality. Analyses were conducted within three domains: data reporting (quality, reporting, definitional criteria, and timeliness), cause and timing of infant death (classification of cause and fetal, neonatal, and postneonatal timing), and maturity and weight at birth/maturity and birth weight-specific mortality. All states identified the SIMC analyses as useful for examining infant mortality trends. In each of the three domains, SIMC results were used to identify important direct contributors to infant mortality including disparities, design or implement interventions to reduce infant death, and identify foci for additional analyses. While each state has unique structural, political, and programmatic circumstances, the SIMC model provides a systematic approach to investigating increasing or static infant mortality rates that can be easily replicated in all other states and allows for cross-state comparison of results.

Objectives Perinatal mortality prevention strategies that target fetal deaths often utilize vital records data sets shown to contain critical quality deficiencies. To understand the causes of deficient data, we linked survey responses of fetal death reporters with facility fetal death data quality indicators. Methods In 2011, we surveyed the person most responsible for fetal death reporting at New York City healthcare facilities on their attitudes, barriers, and practices regarding reporting. We compared responses by 2 facility data quality indicators (data completeness and ill-defined cause of fetal death) for third trimester fetal death registrations using Chi squared tests. Results Thirty-nine of 50 facilities completed full questionnaires (78 % response rate); responding facilities reported 84 % (n = 11,891) of all 2011 fetal deaths, including 329 third trimester fetal deaths. Facilities citing ≥1 reporting barrier were approximately five times more likely to have incomplete third trimester registrations than facilities citing no substantial barriers (37.5 vs 7.9 %; RR 4.7; 95 % CI [1.6–14.2]). Reported barriers included onerous reporting requirements (n = 10; 26 %) and competing physician priorities (n = 11; 28 %). Facilities citing difficulty involving physicians in reporting were more likely to report fetal deaths with nonspecific cause-of-death information (70.9 vs 56.6 %; RR 1.3; 95 % CI [1.1–1.5]). Conclusions Self-reported challenges correlate with completeness and accuracy of reported fetal death data, suggesting that such barriers are likely contributing to low quality data. We identified several improvement opportunities, including in-depth training and reducing the information collected, especially for early fetal deaths (

This article provides an example of how Perinatal Periods of Risk (PPOR) can provide a framework and offer analytic methods that move communities to productive action to address infant mortality. Between 1999 and 2002, the infant mortality rate in the Antelope Valley region of Los Angeles County increased from 5.0 to 10.6 per 1,000 live births. Of particular concern, infant mortality among African Americans in the Antelope Valley rose from 11.0 per 1,000 live births (7 cases) in 1999 to 32.7 per 1,000 live births (27 cases) in 2002. In response, the Los Angeles County Department of Public Health, Maternal, Child, and Adolescent Health Programs partnered with a community task force to develop an action plan to address the issue. Three stages of the PPOR approach were used: (1) Assuring Readiness; (2) Data and Assessment, which included: (a) Using 2002 vital records to identify areas with the highest excess rates of feto-infant mortality (Phase 1 PPOR), and (b) Implementing Infant Mortality Review (IMR) and the Los Angeles Mommy and Baby (LAMB) Project, a population-based study to identify potential factors associated with adverse birth outcomes. (Phase 2 PPOR); and (3) Strategy and Planning, to develop strategic actions for targeted prevention. A description of stakeholders' commitments to improve birth outcomes and monitor infant mortality is also given. The Antelope Valley community was engaged and ready to investigate the local rise in infant mortality. Phase 1 PPOR analysis identified Maternal Health/Prematurity and Infant Health as the most important periods of risk for further investigation and potential intervention. During the Phase 2 PPOR analyses, IMR found a significant proportion of mothers with previous fetal loss (45%) or low birth weight/preterm (LBW/PT) birth, late prenatal care (39%), maternal infections (47%), and infant safety issues (21%). After adjusting for potential confounders (maternal age, race, education level, and marital status), the LAMB case-control study (279 controls, 87 cases) identified additional factors associated with LBW births: high blood pressure before and during pregnancy, pregnancy weight gain falling outside of the recommended range, smoking during pregnancy, and feeling unhappy during pregnancy. PT birth was significantly associated with having a previous LBW/PT birth, not taking multivitamins before pregnancy, and feeling unhappy during pregnancy. In response to these findings, community stakeholders gathered to develop strategic actions for targeted prevention to address infant mortality. Subsequently, key funders infused resources into the community, resulting in expanded case management of high-risk women, increased family planning services and local resources, better training for nurses, and public health initiatives to increase awareness of infant safety. Community readiness, mobilization, and alignment in addressing a public health concern in Los Angeles County enabled the integration of PPOR analytic methods into the established IMR structure and [the design and implementation of a population-based l study (LAMB)] to monitor the factors associated with adverse birth outcomes. PPOR proved an effective approach for identifying risk and social factors of greatest concern, the magnitude of the problem, and mobilizing community action to improve infant mortality in the Antelope Valley.

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.

Study goals were to distinguish between maternal risk factors for fetal versus infant mortality, and to identify which maternal characteristics contributed the greatest risk of mortality overall. This case–control retrospective study abstracted data on more than forty maternal characteristics from 261 prenatal and delivery records: all 26 fetal deaths, all 40 infant deaths and 195 randomly selected surviving births in a high-mortality Healthy Start community. Bivariate and multivariate analyses were conducted. The fetal-mortality population was significantly more likely than the infant-mortality population to have no insurance (P = .047), inadequate prenatal care (P = .039) and previous fetal death (P = .021). Comparing the combined mortality population with the surviving sample, two tiers of risk emerged: Rare-but-lethal risks, including no prenatal care (P < .001) and Child-Protective-Service involvement (P = .001), and common-and-dangerous risks, including inadequate maternal weight gain (OR = 13.55), drug or alcohol abuse (OR = 8.67), obesity (OR = 2.77) and anemia (OR = 3.61). Both fetal and infant mortality groups must be considered when identifying maternal risks. Inadequate prenatal weight gain, obesity and anemia contribute as much to feto-infant mortality as substance abuse. Public health efforts to improve maternal nutrition and healthy weight should be redoubled.

Objectives: The Perinatal Periods of Risk (PPOR) technique was used to analyze resident fetal and infant death data from Kansas City, Missouri, for the period 1998–2002. Results offer important information that can be used to develop community-based prevention strategies related to racial/ethnic disparities in infant mortality rates (IMR). Methods: The PPOR approach for fetal and infant mortality can be mapped by birthweight at delivery and time of death into four strategic prevention areas: 1) Maternal Health/Prematurity (MHP), 2) Maternal Care (MC), 3) Newborn Care (NC), and 4) Infant Health (IH). For this analysis, all fetal and infant death certificates from the metropolitan Kansas City area were linked to their birth certificates and those associated with residents of Kansas City, Missouri, proper were used to create the dataset used in this analysis. Due to the small number of fetal and infant deaths among other ethnic groups, the analysis was restricted to a comparison of the disparity of IMR between Blacks, Whites, and a national non-Hispanic white reference group. The Kitagawa formula was used to determine contribution to excess deaths from birthweight-specific mortality and birthweight distribution rates. Logistic regression techniques were used to identify risk factors for death among Black fetuses and infants with very low birthweights and also deaths due to sudden infant death syndrome (SIDS). Results: The PPOR analysis showed that of the excess deaths among black infants, when compared to a national reference group, 47% was attributable to MHP and another 29% was attributable to IH. Differences in MC and NC only accounted for 27 and 8% of the total excess deaths. During the study period, rates of sudden infant death syndrome (SIDS) were found to be significantly higher among Blacks as compared to Whites (2.12 vs. 0.81 per 1,000). An analysis of maternal characteristics for SIDS deaths among blacks using a step-wise logistic regression model, found that maternal age less than 20 years old, previous births, inadequate prenatal care, and being a Medicaid recipient were significant—adjusted odds ratios of 23.7 (95% Cl 10.48, 53.67), 8.4 (95% Cl 3.64, 19.21), 2.9 (95% Cl 1.38, 6.05) and 2.5 (95% Cl 1.04, 5.84), respectively. Conclusions: PPOR is an easy to use approach that helps focus community initiatives for improving maternal and infant health. In Kansas City, Missouri, efforts to further lower IMR in blacks can be achieved through the reduction of risk factors affecting maternal health and through maternal education to improve infant health.

We aimed to compare demographic, medical, and cause-of-death information reported for third-trimester fetal and neonatal death vital records collected in New York City (NYC) before and after implementation of the revised fetal death certificate to identify: (1) the limitations of combining fetal and neonatal death records for the purpose of perinatal death prevention; and (2) improvement opportunities for fetal death vital records registration. Using Chi squared tests, we compared data completeness and cause-of-death information between third-trimester NYC fetal (n = 1,930) and neonatal deaths (n = 735) from 2007 to 2011. We also compared fetal death data before and after the 2011 implementation of the 2003 United States (US) Standard Report of Fetal Death and an electronic reporting system. Compared with neonatal deaths, fetal death data were generally less complete (P < 0.0001). Fetal death data much more frequently reported an ill-defined cause of death (67 vs. 5 %). Most ill-defined reported causes of fetal death (73 %) were attributed to stillbirth synonyms (e.g., “fetal demise”). Ill-defined causes of fetal death decreased from 68 to 61 % (P < 0.01) after 2011. Both data completeness and ill-defined causes of death varied widely by hospital. In NYC, fetal deaths lack demographic, medical, and cause-of-death information compared with neonatal deaths, with implications for research that uses combined perinatal mortality data sets. Electronic implementation of the US Standard Report of Fetal Death minimally improved cause-of-death information. Substantial variability by hospital suggests opportunities for improvement exist.

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.

Public health prevalence data has consistently illustrated disparities in fetal mortality prevalence on a yearly basis, yet few studies have examined the prevalence and correlates of pregnancy loss history during the reproductive life span. Using nationally representative data from the Early Childhood Longitudinal Study, Birth Cohort, approximately 25% of childbearing women in the United States were found to have experienced one or more fetal deaths prior to the current live birth. An examination of the demographic correlates of singular and multiple loss history in age-controlled models reveals that a history of multiple loss was significantly related to African-American race, lower socioeconomic status, income below poverty, and lower maternal education. Singular loss history risk was relatively consistent across social and demographic groups with some increased risk noted only for African-American women. Predictive correlates of fetal mortality varied by racial-ethnic subpopulation in multivariate analysis. Findings from this study are discussed for their contribution to existing public health knowledge and the potential for future research focused on the experience of multiple loss and demographic groups at elevated risk.

This article examines FIMR in relationship to two other maternal and child health mortality reviews--child fatality review (CFR) and maternal mortality review (MMR), and explores how their approaches to reviewing deaths can complement one another. Identifying opportunities for collaboration among these case review methodologies may lead to greater efficiencies at the local and state levels and strengthen the case review approach as a public health tool for improving maternal and child health outcomes. To enable comparative analysis, a table was constructed that identifies the purpose, structure, and process features of each case review approach. This was followed by an examination of two possible ways to improve maternal and child mortality review processes in states: 1) better coordination; and 2) improving each individual process through adapting and adopting promising practices from the others. A discussion is also provided of the state Title V role in facilitating both the coordination of reviews and the process of sharing best practices. Given the similarities that exist among the three MCH mortality reviews, it is important to view each review as one component of a larger system of maternal and child health death reviews. Implementing widely the recommendations generated by these reviews may increase the likelihood of improvements in services and systems on behalf of women and children.