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232697 Health Risk Charateristics of Medicaid Pregnant Women Enrolled in Michigan's Maternal Infant Health ProgramMonday, November 8, 2010
The Michigan Department of Community Health, Maternal Infant Health Program (MIHP) is a population based public health program to assist Medicaid pregnant women with positive birth outcomes and assure proper infant growth and development. An electronic Maternal Risk Identifier must be completed on every pregnant women enrolled in the MIHP. The Maternal Risk Identifier collects health information data in the following domain areas: health history, prenatal care, smoking, alcohol and drug use, stress, depression and mental health, social support, abuse, violence, basic needs and breastfeeding. All risks identified are stratified into low, moderate, high, no and unknown levels.
Over 40,000 electronic Maternal Risk Identifiers have been entered into the state's database. The poster will present a summary of health risk data by level of risk (low, moderate, high, no) for all Medicaid pregnant women enrolled in MIHP from July of 2008- July 2010. Data will be presented on the total number, of pregnant women, enrolled in MIHP, (over 40,000) who scored out low, moderate or high for each of the following risk areas will be presented: family planning, pregnancy history, food, housing, transportation, social support, smoking, alcohol, drug use, stress/depression, abuse/violence, chronic disease, and overall risk level.
Learning Areas:
Public health or related educationPublic health or related nursing Learning Objectives:
Presenting author's disclosure statement:
Qualified on the content I am responsible for because: I work with the Maternal Infant Health Program for the state of Michigan. I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.
Back to: 3078.0: Committee on Affiliates Member Poster Session
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