Maternal and child health (MCH) surveillance data are important for understanding gaps in services and disparities in burden of disease, access to care, risk behaviors, and health outcomes. However, national and state surveillance systems are not always designed to gather sufficient data for calculating reliable estimates of the health conditions among high-risk or underrepresented population subgroups living in smaller geographic areas. The Centers for Disease Control and Prevention's Pregnancy Risk Assessment Monitoring System (PRAMS) has conducted surveillance for over 25 years in collaboration with state and city health departments. In 2012, PRAMS embarked on a multiyear collaboration with the W.K. Kellogg Foundation (WKKF) to include oversampling of minority and low-income women in selected geographic areas in four states (Louisiana, Michigan, Mississippi, and New Mexico) where the WKKF funded extensive place-based initiatives are located. The PRAMS-WKKF collaboration has broad implications for promoting meaningful collaboration between public, private, local, state, and federal organizations to address MCH data gaps on disparities, and for improving the availability of information needed for MCH programs, policy makers, and women.
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http://dx.doi.org/10.1089/jwh.2015.5260 | DOI Listing |
Rev Gaucha Enferm
January 2025
Universidade Federal de São João del-Rei (UFSJ), Faculdade de Enfermagem, Programa de Pós-Graduação em Enfermagem. Divinópolis, Minas Gerais, Brasil.
Objective: To understand the relationships that promote and threaten family hope during pregnancy and in the care of high-risk newborns.
Method: Qualitative research, guided by the theoretical framework of Understanding the Complex Nature of Hope, carried out between December 2021 and March 2022, with 28 members of 14 families attended at a multidisciplinary outpatient clinic for at-risk newborns in Minas Gerais, Brazil. Data obtained from interviews in thematic oral history allowed the construction of narratives, genograms and ecomaps, which were subjected to deductive thematic analysis procedures.
Rev Gaucha Enferm
January 2025
Universidade do Estado de Santa Catarina. Programa de Pós-Graduação em Enfermagem, Mestrado Profissional em Enfermagem na Atenção Primária à Saúde. Chapecó, Santa Catarina, Brasil.
Objective: Create and validate the content of video lessons to support nurses when carrying out adolescent consultations in Primary Health Care.
Method: Methodological research carried out in four stages: 1) Exploration, with 83 nurses and two literature narrative reviews; 2) Construction of scripts and storyboards; 3) scripts and storyboards' content validation; 4) Video classes production. Data analysis was conducted using the Content Validity Index.
Rev Bras Enferm
January 2025
Universidade do Estado do Pará. Belém, Pará, Brazil.
Objective: to analyze the spatial-temporal pattern of childbirths and flow of postpartum women assisted at a regional reference maternity hospital.
Methods: ecological study of 4,081 childbirths, between September 2018 and December 2021, at a public maternity hospital in the Baixo Tocantins region, Pará, Brazil. With data collected from five sources, a geographic database was constructed, and spatial analysis was used with Kernel density interpolator.
PLoS One
January 2025
Duke Center for Policy Impact in Global Health, Durham, North Carolina, United States of America.
Background: Hypertension is the most common primary diagnosis associated with postpartum readmissions within 42 days of delivery hospitalization. In the United States, nearly half of the cases of eclampsia, a severe form of preeclampsia, develop during the postpartum period, and the postpartum onset of hypertensive disorders of pregnancy, like antepartum hypertension poses long-term health risks to pregnant individuals, including an increased likelihood of developing overall cardiovascular disease, coronary heart disease, heart failure, and chronic hypertension. In this paper, we estimate the trends in the incidence of readmissions for postpartum hypertension within 42 days of delivery discharge in the US, disaggregated by median household income.
View Article and Find Full Text PDFMatern Child Health J
January 2025
Office of the Director, Office of Readiness and Response, CDC, Atlanta, GA, USA.
Objectives: This study aimed to estimate the prevalence of homelessness shortly before or during pregnancy and describe differences in maternal characteristics and adverse birth outcomes between people reporting homelessness and not reporting homelessness.
Methods: We used 2016-2020 Pregnancy Risk Assessment Monitoring System (PRAMS) data from 31 sites to estimate the prevalence of self-reported homelessness during the 12 months before giving birth. We used logistic regression models to evaluate the association between homelessness and adverse birth outcomes, specifically small for gestational age (SGA), low birth weight (LBW), and preterm birth (PTB).
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