Last data update: Oct 07, 2024. (Total: 47845 publications since 2009)
Records 1-1 (of 1 Records) |
Query Trace: Kroelinger Charlan[original query] |
---|
Surveillance Indicators for Women's Preconception Care
Surveillance and Research Workgroup and Clinical Workgroup of the National Preconception Health and Health Care Initiative , Adamski Alys , Bernstein Peter S , Boulet Sheree L , Chowdhury Farah M , D’Angelo Denise V , Coonrod Dean V , Frayne Daniel J , Kroelinger Charlan , Morgan Isabel A , Okoroh Ekwutosi M , Olson Christine K , Robbins Cheryl L , Verbiest Sarah . J Womens Health (Larchmt) 2020 29 (7) 910-918 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. |
- Page last reviewed:Feb 1, 2024
- Page last updated:Oct 07, 2024
- Content source:
- Powered by CDC PHGKB Infrastructure