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The Birth Certificate and Medicaid Data Match Project: Initial Findings in Infant Mortality

The Birth Certificate and Medicaid Data Match Project: Initial Findings in Infant Mortality. John Oswald, PhD Director, Minnesota Center for Health Statistics June 7, 2006 NAPHSIS Annual Meeting. Background. The Minnesota IMR in 2002 was 5.3 per 1000 live births

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The Birth Certificate and Medicaid Data Match Project: Initial Findings in Infant Mortality

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  1. The Birth Certificate and Medicaid Data Match Project: Initial Findings in Infant Mortality John Oswald, PhD Director, Minnesota Center for Health Statistics June 7, 2006 NAPHSIS Annual Meeting

  2. Background • The Minnesota IMR in 2002 was 5.3 per 1000 live births • One of the lowest infant mortality rates in the nation • The low rate masks great disparities in infant mortality within the state

  3. Background • The Minnesota Department of Human Services (DHS) and the Minnesota Department of Health (MDH) entered into a data sharing agreement to link Minnesota Medicaid data with birth certificate data • This linking allows for comparisons between the Medicaid and non-Medicaid populations • 1997-2001 linked data are analyzed for this presentation

  4. Background • The Medicaid population is comprised of both Medical Assistance and MinnesotaCare enrollees • The non-Medicaid population includes those covered by private health insurance, self-insured, or uninsured

  5. Linkage Methods • Iterative matching procedure that included mother’s name, mother’s date of birth, and father’s last name. • State of residence of the birth mother was used rather than state of occurrence of the birth

  6. Linkage Methods • overall match rate has been 93.1% • No major differences between Medicaid women who matched and those who did not except * Hispanic women * Border communities with North Dakota

  7. Linkage Methods • Future methodological issues in data linkage and probabilistic techniques • Agenda for future research: Gyllstrom ME, Oswald JW, et al. Linking Birth Certificates with Medicaid Data to Enhance Population Health Assessment: Methedological Issues Addressed. Journal of Public Health Management and Practice, July 2002, 38-44.

  8. Other Methods • Race categories are based upon the race of the mother as reported on the birth certificate and include White, Black/African American, Asian, and Native American • Hispanic ethnicity is also based upon ethnicity of mother as reported on the birth certificate and includes anyone indicating Hispanic/Latina descent regardless of race

  9. Other Methods • Age of mother is obtained from the birth certificate • Initiation of prenatal care is also taken from the birth certificate

  10. Methods

  11. Results Medicaid Births by Maternal Age Minnesota, 1997-2001 Non-Medicaid Births by Maternal Age Minnesota, 1997-2001

  12. Results • Minnesota as a whole had an IMR of 5.7 per 1,000 for calendar years 1997-2001 • Medicaid had an IMR of 7.4 per 1,000 • 7.5 per 1,000 for Medical Assistance • 6.2 per 1,000 for MinnesotaCare • Non-Medicaid had an IMR of 5.2 per 1,000

  13. Results

  14. Results

  15. Results

  16. Results

  17. Discussion • Whites had significantly lower IMR than all other race categories, and White non-Medicaid had significantly lower IMR than White Medicaid • Finding for teenaged mothers supported in results from other states • Those who receive early prenatal care have lower infant mortality in both the Medicaid and non-Medicaid populations

  18. Discussion • Unintentional injury deaths accounted for a high proportion of deaths in the Medicaid population • 1 in 3 was related to co-sleeping with adults • Inadequate sleeping accommodations • SIDS also much higher in the Medicaid populations (25.5% vs. 7.3%)

  19. Limitations • Small number of events • Lack of clear definition of Non-Medicaid population • Inherent challenges of birth and death records • Unknown enrollment date in Medicaid

  20. Further Research • Further investigation into the teen mother finding • Formal analysis of these data to examine the interplay of race and Medicaid status • Ideally, a comparison of Medicaid and those with private insurance

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