Pregnancy Risk Assessment Monitoring System (PRAMS)
Health Research Inc, New York State Doh, Menands NY
Investigators
Abstract
Project Abstract The primary goal of the New York State Pregnancy Risk Assessment Monitoring System (PRAMS) is to collect high quality population based data on maternal and infant health that are not available from other sources. Data collected through the PRAMS program will help New York State address several maternal and child health services priorities identified in the stateâs Prevention Agenda and in the Maternal and Child Health Services Block Grant. PRAMS data provides important baseline information and ongoing measures of New Yorkâs progress in addressing maternal and child health priorities. A stratified random sample of women who have recently given birth to a live born infant in New York State (excluding New York City) are sampled from birth certificate records between 2-4 months after delivery and is stratified by birthweight (<2500g/â¥2500g). Approximately 140 women will be sampled on a monthly basis for a yearly sample size of 1,600 for the next five years. PRAMS staff will work in conjunction with the New York State Department of Healthâs Bureau of Production Systems Management and the Bureau of Biometrics and Health Statistics to ensure access to birth files for PRAMS sampling. Mothers will be sent up to three questionnaire mailings with telephone follow-up for non-responders. Findings from the PRAMS analysis will be utilized and disseminated by the stateâs internal and external partners to monitor Prevention Agenda and Maternal and Child Health priorities. In addition, PRAMS data will be disseminated via the PRAMS Dashboard on the New York State Department of Health public web site to support public health policy and program improvement. This site provides public access to PRAMS data and is widely used by Health Department programs for evaluation and assessment of ongoing DOH initiatives. The dashboard includes data on 64 indicators with tables and trend graphs from 2004 â 2017.
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