Understanding the association of biomedical, psychosocial and behavioral risks with adverse pregnancy outcomes among African-Americans in Washington, DC.

This study investigates the relationship between adverse pregnancy outcomes in high-risk African American women in Washington, DC and sociodemographic risk factors, behavioral risk factors, and the most common and interrelated medical conditions occurring during pregnancy: diabetes, hypertension, preeclampsia, and Body Mass Index (BMI). Data are from a randomized controlled trial conducted in 6 prenatal clinics. Women in their 1st or 2nd trimester were screened for behavioral risks (smoking, environmental tobacco smoke exposure, depression, and intimate partner violence) and demographic eligibility. 1,044 were eligible, interviewed and followed through their pregnancies. Classification and Regression Trees (CART) methodology was used to: (1) explore the relationship between medical and behavioral risks (reported at enrollment), sociodemographic factors and pregnancy outcomes; (2) identify the relative importance of various predictors of adverse pregnancy outcomes; and (3) characterize women at the highest risk of poor pregnancy outcomes. The strongest predictors of poor outcomes were prepregnancy BMI, preconceptional diabetes, employment status, intimate partner violence, and depression. In CART analysis, preeclampsia was the first splitter for low birthweight; preconceptional diabetes was the first splitter for preterm birth (PTB) and neonatal intensive care admission; BMI was the first splitter for very PTB, large for gestational age, Cesarean section and perinatal death; employment was the first splitter for miscarriage. Preconceptional factors strongly influence pregnancy outcomes. For many of these women, the high risks they brought into pregnancy were more likely to impact their pregnancy outcomes than events during pregnancy.

Patterns of alcohol consumption among pregnant African-American women in Washington, DC, USA.

The objective of this paper is to describe the patterns and associated behaviours related to alcohol consumption among a selected sample of pregnant women seeking prenatal care in inner city Washington DC. Women receiving prenatal care at one of nine sites completed an anonymous alcohol-screening questionnaire. Questions concerned the amount, type and pattern of alcohol consumption. Women were categorised as at no, low, moderate or high risk for alcohol consumption during pregnancy. For comparisons of risk levels of drinking, bivariate associations were examined using Fisher's exact test. Odds ratios (ORs) and 95% confidence intervals (CIs) were also computed. Although 31% of current/recent drinkers stated that they continued to drink during pregnancy, responses to quantity/frequency questions revealed that 42% continued to do so. Women who were at high compared with moderate risk acknowledged that others were worried about their consumption [OR=4.0, 95% CI 1.5, 10.6], that they drank upon rising [OR=6.7, 95% CI 1.8, 26.9], had a need to reduce drinking [OR=3.2, 95% CI 1.3, 8.1] and in the past 5 years had had fractures [OR=4.2, 95% CI 1.0, 17.8] or a road traffic injury [OR=3.4, 95% CI 1.0, 12.2]. Women in the high/moderate compared with low-risk group were more likely to have been injured in a fight or assault [OR=2.7, 95% CI 1.3, 5.6]. This study validated the usefulness of our questionnaire in identifying women who were at risk for alcohol consumption during pregnancy across a range of consumption levels. Using our screening tool, women were willing to disclose their drinking habits. This low-cost method identifies women appropriate for targeting of interventions.

Acceptance, Communication Mode and Use of Audio Computer-Assisted Self Interview Using Touchscreen to Identify Risk Factors among Pregnant Minority Women.

This paper evaluates the acceptability, communication mode and use of audio computer-assisted self-interview (A-CASI) among minority pregnant women receiving prenatal care in six Washington, DC sites. A total of 2,913 women were screened for demographic eligibility (18+ years old, <29 weeks gestation, Black/African-American or Hispanic) and risk (smoking, environmental tobacco smoke exposure, depression, intimate partner violence). Questions were displayed on touch screen laptop monitors and heard through earphones. The mean length of time to complete the screener was almost 6 minutes.A-CASI experience, which included difficulty in using the computer, acceptability (enjoyment), and preferred communication mode, was compared across sites, the eligibility and risk groups and a subset of 878 enrolled women for whom educational attainment and receipt of WIC (a proxy for income) were available. Respondents thought A-CASI was not difficult to use and liked using the computer. Black/African-American or Hispanic respondents enjoyed it significantly more than did respondents of other race/ethnicities. Respondents who were demographically eligible, Black/African-American or Hispanic, or with lower education levels listened to questions significantly more than did their counterparts. Mainly listening or listening and reading does not impact burden in terms of the length of time it took to complete the screener.The acceptance of A-CASI as a screening tool opens the door for more uses of this technology in health-related fields. The laptop computer and headphones provide privacy and mobility so the technology can be used to ask sensitive questions in almost any locale, including busy clinic settings.

Recruitment and retention of low-income minority women in a behavioral intervention to reduce smoking, depression, and intimate partner violence during pregnancy.

BACKGROUND: Researchers have frequently encountered difficulties in the recruitment and retention of minorities resulting in their under-representation in clinical trials. This report describes the successful strategies of recruitment and retention of African Americans and Latinos in a randomized clinical trial to reduce smoking, depression and intimate partner violence during pregnancy. Socio-demographic characteristics and risk profiles of retained vs. non-retained women and lost to follow-up vs. dropped-out women are presented. In addition, subgroups of pregnant women who are less (more) likely to be retained are identified. METHODS: Pregnant African American women and Latinas who were Washington, DC residents, aged 18 years or more, and of 28 weeks gestational age or less were recruited at six prenatal care clinics. Potentially eligible women were screened for socio-demographic eligibility and the presence of the selected behavioral and psychological risks using an Audio Computer-Assisted Self-Interview. Eligible women who consented to participate completed a baseline telephone evaluation after which they were enrolled in the study and randomly assigned to either the intervention or the usual care group. RESULTS: Of the 1,398 eligible women, 1,191 (85%) agreed to participate in the study. Of the 1,191 women agreeing to participate, 1,070 completed the baseline evaluation and were enrolled in the study and randomized, for a recruitment rate of 90%. Of those enrolled, 1,044 were African American women. A total of 849 women completed the study, for a retention rate of 79%. Five percent dropped out and 12% were lost-to-follow up. Women retained in the study and those not retained were not statistically different with regard to socio-demographic characteristics and the targeted risks. Retention strategies included financial and other incentives, regular updates of contact information which was tracked and monitored by a computerized data management system available to all project staff, and attention to cultural competence with implementation of study procedures by appropriately selected, trained, and supervised staff. Single, less educated, alcohol and drug users, non-working, and non-WIC women represent minority women with expected low retention rates. CONCLUSION: We conclude that with targeted recruitment and retention strategies, minority women will participate at high rates in behavioral clinical trials. We also found that women who drop out are different from women who are lost to follow-up, and require different strategies to optimize their completion of the study.