Refreshing the Perinatal Periods of Risk: A New Reference Group and Nationwide Large-County-Level Analyses.

INTRODUCTION: The Perinatal Periods of Risk approach (PPOR) is designed for use by communities to assess and address the causes of high fetal-infant mortality rates using vital records data. The approach is widely used by local health departments and their community and academic partners to inform and motivate systems changes. PPOR was developed and tested in communities based on data years from 1995 to 2002. Unfortunately, a national reference group has not been published since then, primarily due to fetal death data quality limitations. METHODS: This paper assesses data quality and creates a set of unbiased national reference groups using 2014-2016 national vital records data. Phase 1 and Phase 2 analytic methods were used to divide excess mortality into six components and create percentile plots to summarize the distribution of 100 large US counties for each component. RESULTS: Eight states with poor fetal death data quality were omitted from the reference groups to reduce bias due to missing maternal demographic information. There are large Black-White disparities among reference groups with the same age and education restrictions, and these vary by component. PPOR results vary by region, maternal demographics, and county. The magnitude of excess mortality components varies widely across US counties. DISCUSSION: New national reference groups will allow more communities to do PPOR. Percentile plots of 100 large US counties provide an additional benchmark for new communities using PPOR and help emphasize problem areas and potential solutions.

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: 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.