Social Media and Black Maternal Health: The Role of Health Literacy and eHealth Literacy.

BACKGROUND: Black women experience greater maternal mortality and morbidity than White women. Although there are many causes of this disparity, providing more and better maternal health information to this population may be beneficial. Social media offers a way to easily and quickly disseminate information to empower and educate Black women about health during pregnancy. OBJECTIVE: This study sought to identify social media use patterns to determine what sources Black women used to obtain information about pregnancy and to explore whether health literacy/eHealth literacy influence those patterns. METHODS: This cross-sectional, nationally representative survey panel included 404 Black women. Health literacy was measured by the Single Item Literacy Screener, and eHEALS was used to measure eHealth literacy. We examined participants' social media activity, social media use, social media use for support, and sharing of pregnancy-related health information. Relationships between health literacy, eHealth literacy, and social media use were assessed. KEY RESULTS: Overall, 67.5% of participants had high health literacy, and the average eHealth literacy score was high (34.5). Most women (71.6%) reported using more than three social media accounts as a source for pregnancy information. Women with low health literacy searched social media for general and specific pregnancy health information, reported more social media use during pregnancy in general (p < .001), and more use of social media for giving and getting support (p = .003). Women with higher eHealth literacy were more likely to report more social media use (r = 0.107, p = .039) and often used social media to give and get support (r = 0.197, p = .0001). Women with high health literacy more often reported sharing the pregnancy information they found on social media with their nurse (χ2 = 7.068, p = .029), doula (χ2 = 6.878, p = .032), and childbirth educator (χ2 = 10.289, p = .006). Women who reported higher eHealth literacy also reported more often sharing the pregnancy information they found on social media with their doctor (r = 0.115, p = .030), nurse (r = 0.139, p = .001), coworkers (r = 0.160, p = .004), and family or friends (r = 0.201, p = .0001). CONCLUSION: Substantial numbers of Black women use social media to find pregnancy health information. Future studies should elicit more detailed information on why and how Black women use social media to obtain pregnancy information and support as well as what role health literacy and eHealth literacy may have on birth outcomes. [HLRP: Health Literacy Research and Practice. 2023;7(3):e119-e129.].

Developing a Public Health Maternal and Child Health Training Program: Lessons Learned from Five Schools of Public Health.

Maternal and child health (MCH), as a core sub-field of public health, continues to be an essential area in which additional workforce development and investment are needed. Recent public health workforce assessments in the United States reveal there will be a significant number of vacancies in MCH public health positions in the near future, creating the need for a well-trained and skilled public health MCH workforce. In order to address this potential critical workforce gap, the U.S. Department of Health and Human Services, Health Resources and Services Administration's Maternal and Child Health Bureau initiated the Maternal and Child Health Public Health Catalyst Program in 2015 to support the creation of MCH training programs in accredited schools of public health that previously did not have a MCH concentration. This article details the accomplishments and lessons learned from the first five MCH Catalyst Program grantees: Drexel University; Florida International University; Rutgers, The State University of New Jersey; Texas A&M University; and the University at Albany.

Randomized controlled trial of a mailed toolkit to increase use of body mass index percentiles to screen for childhood obesity.

INTRODUCTION: Despite epidemic increases in childhood obesity rates, many providers fail to diagnose obesity. Body mass index (BMI)-for-age percentiles are the recommended screening test. We evaluated whether mailing a toolkit to physicians would increase use of sex-specific BMI-for-age percentiles to screen for childhood obesity. METHODS: We assigned a random sample of family physicians and pediatricians from New York State's medical licensing database to either intervention or control groups in the summer of 2004. At baseline and at follow-up, we sent physicians a survey that asked how often they used various screening methods to identify childhood obesity. Between the surveys, we sent physicians in the intervention group a toolkit that consisted of professional guidelines for childhood obesity screening, a tool for calculating BMI, BMI-for-age growth charts, and educational information. RESULTS: At follow-up, more physicians in the intervention group than in the control group reported using BMI percentiles to screen for childhood obesity. Compared with physicians in the control group, physicians in the intervention group had a larger increase in their routine use of BMI percentiles to screen children aged 2 to 5, 6 to 11, and 12 to 20 years, although the differences in the older 2 groups did not attain statistical significance. CONCLUSION: Directly mailing an educational toolkit to physicians can have a small but positive effect on clinical practice.

Do economic stresses influence child work hours on family farms?

BACKGROUND: Economic stresses are a frequently cited reason for children doing farm work. OBJECTIVE: To explore the relationship between economic indicators and child agricultural work hours between January 2001 and October 2003. METHODS: This ecologic study design compares trends in aggregate child work hours with national and regional economic indicators. Child work hours were obtained from quarterly surveillance data from a randomized field trial of agricultural task guidelines for children. 2,360 children living or working on 845 farms in central New York participated in the original study. The relationship between child work hours and three economic indicators: national all farm index (AFI) ratio, national fuel index, and regional milk prices was analyzed using times series plots, correlation, and multiple linear regression. RESULTS: The AFI ratio was positively correlated with child work hours (r = 0.49, p = 0.008) but there was no significant correlation between child work hours and fuel or milk prices. Multiple linear regression demonstrated that the relationship between AFI and child work hours is independent of a seasonal effect. CONCLUSIONS: Increased child work hours may be associated with periods of higher farm sector productivity, rather than economic stress per se. Findings are limited by the ecologic study design, use of national economic indicators, and the limited number of cycles of child work hours available for time series analysis. Economic conditions may influence decisions about children's farm work.