Surveillance Indicators for Women's Preconception Care

• Authors: Alys Adamski, Coordinating Center for Health Promotion; Peter S Bernstein, Coordinating Center for Health Promotion; Sheree Boulet, Emory University; Farah M Chowdhury, Centers for Disease Control and Prevention, Atlanta; Danise V D'Angelo, National Center for Chronic Disease Prevention and Health Promotion; Dean V Coonrod, Creighton University School of Medicine; Daniel J Frayne, The University of North Carolina System; Charlan Kroelinger, National Center for Chronic Disease Prevention and Health Promotion; Isabel A Morgan, The University of North Carolina at Chapel Hill; Christine K Okoroh, Centers for Disease Control and Prevention, Atlanta; Christine K Olson, National Center for Chronic Disease Prevention and Health Promotion; Cheryl L Robbins, National Center for Chronic Disease Prevention and Health Promotion; Sarah Verbiest, The University of North Carolina at Chapel Hill
• Journal Title: Journal of Women's Health
• Volume: Volume 29, Number 7
• Publisher: Mary Ann Liebert, Inc | 2020-07-01, Pages 910-918
• Type of Work: Article | Post-print: After Peer Review
• Publisher DOI: http://doi.org/10.1089/jwh.2019.8146
• Subjects: Health Sciences, Obstetrics and Gynecology; Health Sciences, Public Health
• Keywords: health care; indicators; preconception; surveillance; women's health; Adult; Behavioral Risk Factor Surveillance System; Female; Health Services Needs and Demand; Health Status; Health Status Indicators; Humans; Population Surveillance; Preconception Care; Public Health Surveillance; Quality of Life; Risk Assessment; United States

Abstract

Background: Limited surveillance of preconception care (PCC) impedes states' ability to monitor access and provision of quality PCC. In response, we describe PCC indicators and the evaluation process used to identify a set of PCC indicators for state use. Materials and Methods: The Surveillance and Research Workgroup and Clinical Workgroup of the National Preconception Health and Health Care Initiative used a systematic process to identify, evaluate, and prioritize PCC indicators from nationwide public health surveillance systems that Maternal and Child Health (MCH) programs can use for state-level surveillance using the Pregnancy Risk Assessment Monitoring System (PRAMS) and Behavioral Risk Factor Surveillance System (BRFSS). For each indicator, we assessed target population, prevalence, measurement simplicity, data availability, clinical utility, and whether it was related to the 10 prioritized preconception health indicators. We also assessed relevance to clinical recommendations, Healthy People (HP)2020 objectives, and the National Quality Forum measures. Lastly, we considered input from stakeholders and subject matter experts. Results: Eighty potential PCC indicators were initially identified. After conducting evaluations, obtaining stakeholder input, and consulting with subject matter experts, the list was narrowed to 30 PCC indicators for states to consider using in their MCH programs to inform the need for new strategies and monitor programmatic activities. PRAMS is the data source for 27 of the indicators, and BRFSS is the data source for three indicators. Conclusions: The identification and evaluation of population-based PCC indicators that are available at the state level increase opportunities for state MCH programs to document, monitor, and address PCC in their locales.