A Preparedness Model for Mother–Baby Linked Longitudinal Surveillance for Emerging Threats
| Autor: | Amanda Wilburn, Margaret A. Honein, Esther M. Ellis, Jerusha Barton, Lindsey Sizemore, Sascha R. Ellington, Kate R. Woodworth, S. Nicole Fehrenbach, Megan R. Reynolds, Valorie Eckert, Catherine McDermott, Samantha M. Olson, Van T. Tong, Laura D. Zambrano, Suzanne M. Gilboa, Elizabeth Torrone, Lauren Orkis, Virginia B. Bowen, Florence Whitehill, Umme Aiman Halai, Angelica Bocour, Neil Gupta, Sarah Schillie, Camille Delgado Lopez, Augustina Delaney, Nicole M. Roth, Catherine M. Brown, Veronica K. Burkel, Dana Meaney-Delman, Cymone Gates, Nicole D. Longcore |
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| Rok vydání: | 2021 |
| Předmět: |
Adult
medicine.medical_specialty Epidemiology Population 03 medical and health sciences 0302 clinical medicine Pregnancy Congenital infection 030225 pediatrics Obstetrics and Gynaecology medicine Humans Mass Screening Perinatal hepatitis C Syphilis Pediatrics Perinatology and Child Health education Mass screening education.field_of_study Surveillance 030219 obstetrics & reproductive medicine SARS-CoV-2 business.industry Medical record Public health Infant Newborn Public Health Environmental and Occupational Health COVID-19 Civil Defense Obstetrics and Gynecology Congenital syphilis medicine.disease Hepatitis C Mother-Child Relations Population Surveillance Preparedness Family medicine Methodological Notes Pediatrics Perinatology and Child Health Female business Health department |
| Zdroj: | Maternal and Child Health Journal |
| ISSN: | 1573-6628 1092-7875 |
| Popis: | Introduction Public health responses often lack the infrastructure to capture the impact of public health emergencies on pregnant women and infants, with limited mechanisms for linking pregnant women with their infants nationally to monitor long-term effects. In 2019, the Centers for Disease Control and Prevention (CDC), in close collaboration with state, local, and territorial health departments, began a five-year initiative to establish population-based mother-baby linked longitudinal surveillance, the Surveillance for Emerging Threats to Mothers and Babies Network (SET-NET).Objectives The objective of this report is to describe an expanded surveillance approach that leverages and modernizes existing surveillance systems to address the impact of emerging health threats during pregnancy on pregnant women and their infants.Methods Mother-baby pairs are identified prospectively during pregnancy and/or retrospectively after birth of the infant. All data are obtained from existing data sources (e.g., electronic medical records, vital statistics, laboratory reports, and health department investigations and case reporting).Results Variables were selected for inclusion to address key surveillance questions proposed by CDC and health department subject matter experts. General variables include maternal demographics and health history, pregnancy and infant outcomes, maternal and infant laboratory results, and child health outcomes up to the second birthday. Exposure-specific modular variables are included for hepatitis C, syphilis, and Coronavirus Disease 2019 (COVID-19). The system is structured into four relational datasets (maternal, pregnancy outcomes and birth, infant/child follow-up, and laboratory testing).Discussion SET-NET provides a population-based mother-baby linked longitudinal surveillance approach and has demonstrated rapid adaptation for use during COVID-19. This innovative approach leverages existing data sources and rapidly collects data to inform clinical guidance and practice. These data can help to reduce exposure risk and adverse outcomes among pregnant women and their infants, direct public health action, and strengthen public health systems. |
| Databáze: | OpenAIRE |
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