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Racial and Ethnic Disparities in Preconception Health Among Women in Ohio, 2004-2008 Melissa VonderBrink, MPH Ohio Department of Health Center for Public Health Statistics and Informatics

Melissa VonderBrink, MPH Ohio Department of Health Center for Public Health Statistics and Informatics

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Page 1: Melissa VonderBrink, MPH Ohio Department of Health Center for Public Health Statistics and Informatics

Racial and Ethnic Disparities in Preconception Health Among Women in Ohio, 2004-2008

Melissa VonderBrink, MPHOhio Department of Health

Center for Public Health Statistics and Informatics

Page 2: Melissa VonderBrink, MPH Ohio Department of Health Center for Public Health Statistics and Informatics

Racial Disparities in the U.S. Racial/ethnic disparities in maternal and

child health have existed for some time in the U.S.

Unintended pregnancy and abortion rates highest among black women, followed by Hispanic1

Even controlling for socioeconomic status, infant mortality twice as high among black infants as white infants2

1 Cohen S. Abortion and Women of Color: The Bigger Picture (2008). Guttenmacher Policy Review. Vol. 11, No. 3.2Alio A., et. al. An Ecological Approach to Understanding Black-White Disparities in Perinatal Mortality. (2009). Matern Child Health J. DOI 10.1007/s10995-009-0495-9.

Page 3: Melissa VonderBrink, MPH Ohio Department of Health Center for Public Health Statistics and Informatics

Objective

Describe the differences in preconception health among Ohio women by race and ethnicity to identify those most in need of intervention

Page 4: Melissa VonderBrink, MPH Ohio Department of Health Center for Public Health Statistics and Informatics

Ohio’s PopulationPopulation: 11,536,504By race:

83% white12% black5% other or multiple

racesBy ethnicity:

3% Hispanic

Page 5: Melissa VonderBrink, MPH Ohio Department of Health Center for Public Health Statistics and Informatics

Development of IndicatorsIn 2007, CDC’s Public Health Work Group

developed 45 preconception health indicators that could be measured at the state level

Ohio created a data book using the 37 indicators for which data were available

4 chosen from this data book to examine racial/ethnic disparities in Ohio

Page 6: Melissa VonderBrink, MPH Ohio Department of Health Center for Public Health Statistics and Informatics

Indicators to Describe Racial and Ethnic Disparities in Preconception Health in

Ohio

Indicator Years Examined

Unintended pregnancy 2006-2008

High pre-pregnancy BMI 2006-2008

Diabetes 2004-2008

STD diagnoses 2006-2008

Page 7: Melissa VonderBrink, MPH Ohio Department of Health Center for Public Health Statistics and Informatics

Background Unintended PregnancyAssociated with high risk maternal behaviors

and late entry into prenatal care

More than half of women in the U.S. have had an unintended pregnancy by age 453

Socioeconomic factors may explain some of racial/ethnic disparities seen among women with unintended pregnancies4

3 Frost JJ, Darroch JE, Remez L. Improving Contraceptive Use in the United States. In Brief, New York: Guttmacher Institute, 2008, No. 1. 4 Cubbin C, et al. Socioeconomic and Racial/Ethnic Disparities in Unintended Pregnancy Among Postpartum Women in California. Matern Child Health J. 2002 Dec; 6(4): 237-46.

Page 8: Melissa VonderBrink, MPH Ohio Department of Health Center for Public Health Statistics and Informatics

BackgroundPre-Pregnancy Obesity

Obese women more likely to:Enter pregnancy with chronic medical

conditions and have additional problems in following years

Have baby with neural tube or heart defects at birth

Racial/ethnic disparities seen among obese women, with non-Hispanic black women having the highest prevalence5

5 Wang Y, Beydoun MA. The Obesity Epidemic in the United States – Gender, Age, Socioeconomic, Racial/Ethnic, and Geographic Characteristics: A Systematic Review and Meta-Regression Analysis. Johns Hopkins Bloomberg School of Public Health. Epidemiologic Reviews. Volume 29; 2007.

Page 9: Melissa VonderBrink, MPH Ohio Department of Health Center for Public Health Statistics and Informatics

Background Diabetes and Gestational Diabetes Women with diabetes have higher risk for

other health complications. Baby also at risk for neural tube defects.

Gestational diabetes associated with macrosomia and cesarean delivery Mother has increased risk of developing Type 2

diabetes later in life

Nationally, diabetes is the 4th leading cause of death for non-white women6

6 CDC. Diabetes and Pregnancy. 2009 Nov. Available at http://www.cdc.gov/Features/DiabetesPregnancy.

Page 10: Melissa VonderBrink, MPH Ohio Department of Health Center for Public Health Statistics and Informatics

Background Sexually Transmitted DiseasesChlamydia

2.8 million cases in U.S. each yearCan cause infertility, pelvic inflammatory disease

and ectopic pregnancy if untreatedGonorrhea

Concern about antibiotic-resistant strainsSimilar risks to chlamydia if untreated

Syphilis40% of pregnancies with untreated syphilis result in

fetal death Transmission rate between mother and infant is highRisks to infant include brain damage, blindness, and

bone deformities

Page 11: Melissa VonderBrink, MPH Ohio Department of Health Center for Public Health Statistics and Informatics

Methods4 indicators from Ohio’s

preconception health data book were usedChose indicators with known

racial/ethnic disparities nationally to see how Ohio compares

Examined Ohio women ages 18 through 44 by race/ethnicity

Page 12: Melissa VonderBrink, MPH Ohio Department of Health Center for Public Health Statistics and Informatics

Data Sources1) Ohio Pregnancy Risk Assessment Monitoring System

(PRAMS) Population-based survey that monitors maternal behaviors and

experiences before, during and shortly after pregnancy

2) Ohio Behavioral Risk Factor Surveillance System (BRFSS) Random-digit dial telephone survey that tracks health and risk behaviors

of adults 18 years and older

Descriptive statistics calculated as proportions and/or frequencies using weighted survey methods

95% confidence intervals calculated

Data are self-reported

Page 13: Melissa VonderBrink, MPH Ohio Department of Health Center for Public Health Statistics and Informatics

Data Sources (continued)3) Ohio STD Surveillance

Tracks syphilis, gonorrhea, and chlamydia in Ohio. Provides data used to help prevent the spread of STDs

Data collected from health care providers and testing sites

Rates of diagnoses calculated per 100,000 women ages 18-44 using Census estimates

Page 14: Melissa VonderBrink, MPH Ohio Department of Health Center for Public Health Statistics and Informatics

Results

Page 15: Melissa VonderBrink, MPH Ohio Department of Health Center for Public Health Statistics and Informatics

Ohio Women Having a Live Birth Whose Pregnancy Was Unintended

n=4252

Characteristic Percent

95% CI

Mothers Age 18-44 45.0 43.0-47.0

Race/Ethnicity

Non-Hispanic White 39.8 37.5-42.2

Non-Hispanic Black 69.0 66.1-71.8

Hispanic 54.9 42.9-66.3

Non-Hispanic Other 46.3 36.9-56.1Source: 2006-2008 Ohio Pregnancy Risk Assessment Monitoring System, Center for Public Health Statistics and Informatics, Ohio Department of Health, 2010.

Page 16: Melissa VonderBrink, MPH Ohio Department of Health Center for Public Health Statistics and Informatics

*Based on self-reported height and weight. Overweight defined as having BMI ≥ 25 kg/m2 but less than 30 kg/m2. Obese defined as having BMI ≥ 30 kg/m2.Error bars equal 95% confidence interval for each yearSource: Ohio Pregnancy Risk Assessment Monitoring System, Center for Public Health Statistics and Informatics, Ohio Department of Health, 2010.

2000 2001 2002 2003 2004 2005 2006 2007 20080

5

10

15

20

25

30

35

40

45

50

Women Having a Live Birth Who Were Overweight or Obese Prior to

Pregnancy*, Ohio, 2000-2008

Year

Perc

en

t

Page 17: Melissa VonderBrink, MPH Ohio Department of Health Center for Public Health Statistics and Informatics

Ohio Women Who Were Overweight or Obese Prior to Pregnancy*

n = 4308

*Based on self-reported height and weight. Overweight defined as having BMI ≥ 25 kg/m2 but less than 30 kg/m2. Obese defined as having BMI ≥ 30 kg/m2.Source: 2006-2008 Ohio Pregnancy Risk Assessment Monitoring System, Center for Public Health Statistics and Informatics, Ohio Department of Health, 2010.

Characteristic Percent 95% CI

Mothers Age 18-44 45.1 43.1-47.1

Race/Ethnicity

Non-Hispanic White 43.6 41.3-46.0

Non-Hispanic Black 57.5 54.4-60.6

Hispanic 45.8 34.2-57.8

Non-Hispanic Other 30.2 22.1-39.6

Page 18: Melissa VonderBrink, MPH Ohio Department of Health Center for Public Health Statistics and Informatics

Ohio Women Diagnosed with Diabetes (Including Gestational Diabetes)*

*Women who have ever been told by a health care provider that they had diabetes , including gestational diabetes (self-reported)Source: 2004-2008 Ohio Behavioral Risk Factor Surveillance System, Center for Public Health Statistics and Informatics, Ohio Department of Health, 2010.

Characteristic Percent 95% CI

Women Age 18-44 5.6 4.8-6.4

Race/Ethnicity

Non-Hispanic White 5.1 4.3-5.9

Non-Hispanic Black 8.5 6.0-11.0

Hispanic 4.0 1.8-6.1

Non-Hispanic Other 8.3 3.3-13.3

n = 8,548

Page 19: Melissa VonderBrink, MPH Ohio Department of Health Center for Public Health Statistics and Informatics

*Rate per 100,000 women ages 18-44 calculated using U.S. Census estimates for that year.

Source: 2006-2008 STD Surveillance, Ohio Department of Health. Data reported as of October 8, 2010.

Non-Hispanic White

Non-Hispanic Black

Hispanic0

200400600800

100012001400160018002000

258.5

1786.5

908.4

Chlamydia Diagnoses Among Women Ages 18-44, Ohio, 2006-

2008

Race/Ethnicity

Rate

per

10

0,0

00

*

Page 20: Melissa VonderBrink, MPH Ohio Department of Health Center for Public Health Statistics and Informatics

*Rate per 100,000 women ages 18-44 calculated using U.S. Census estimates for that year.Source: 2006-2008 STD Surveillance, Ohio Department of Health. Data reported as of October 8, 2010.

Non-Hispanic White

Non-Hispanic Black

Hispanic0

100200300400500600700800900

62.9

776.0

203.6

Gonorrhea Diagnoses Among Women Ages 18-44, Ohio, 2006-

2008

Race/Ethnicity

Rate

per

10

0,0

00

*

Page 21: Melissa VonderBrink, MPH Ohio Department of Health Center for Public Health Statistics and Informatics

*Rate per 100,000 women ages 18-44 calculated using U.S. Census estimates for that year.Source: 2006-2008 STD Surveillance, Ohio Department of Health. Data reported as of October 8, 2010.

Non-Hispanic White

Non-Hispanic Black

Hispanic0

5

10

15

20

25

30

35

1.9

19.7

10.6

2.3

25.5

8.5

2.9

30.1

14.9

Syphilis Diagnoses Among Women Ages 18 - 44 By Race,

Ohio, 2006 - 2008

2006

2007

2008

Race/Ethnicity

Rate

per

10

0,0

00

*

Page 22: Melissa VonderBrink, MPH Ohio Department of Health Center for Public Health Statistics and Informatics

Syphilis Diagnoses Among Young Women Age 18-24 By Race, Ohio, 2006-2008

*Rate per 100,000 women ages 18-24 calculated using U.S. Census estimates for that year.

Source: 2006-2008 STD Surveillance, Ohio Department of Health. Data reported as of May 12, 2011.

2006 2007 20080

10

20

30

40

50

Non-Hispanic WhiteNon-Hispanic BlackHispanic

Year

Rate

per

10

0,0

00

*

Page 23: Melissa VonderBrink, MPH Ohio Department of Health Center for Public Health Statistics and Informatics

DiscussionUnderstanding how racial/ethnic disparities

affect preconception health can help public health administrators effectively plan and implement programs and policies to target those most in need

For the indicators studied, black and Hispanic women had generally poorer preconception health than white womenBut further studies needed to determine

reasons for racial/ethnic disparities

Page 24: Melissa VonderBrink, MPH Ohio Department of Health Center for Public Health Statistics and Informatics

Next StepsCreated Ohio Gestational Diabetes Mellitus

Team and the Ohio Collaborative to Prevent Infant Mortality to focus on improving health care

Block Grant state performance measure designed to monitor and evaluate preconception health care efforts

Share results with state programs (STD, diabetes prevention) to more effectively target high risk populations

Page 25: Melissa VonderBrink, MPH Ohio Department of Health Center for Public Health Statistics and Informatics

AcknowledgementsODH Center for Public Health Statistics and

InformaticsConnie Geidenberger, PhDCarrie A. Hornbeck, MPHBrandi BennettHolly Sobotka, MS

ODH STD Surveillance ProgramRhiannon Richman, MPH

Page 26: Melissa VonderBrink, MPH Ohio Department of Health Center for Public Health Statistics and Informatics

Thank you!Melissa VonderBrink, MPHOhio Department of Health

Center for Public Health Statistics and Informatics246 N. High St.

Columbus, OH 43215(614) 644-0190

[email protected]