The influence of racial-ethnic discrimination on women's health care outcomes: A mixed methods systematic review.

BACKGROUND: In the U.S, a wide body of evidence has documented significant racial-ethnic disparities in women's health, and growing attention has focused on discrimination in health care as an underlying cause. Yet, there are knowledge gaps on how experiences of racial-ethnic health care discrimination across the life course influence the health of women of color. Our objective was to summarize existing literature on the impact of racial-ethnic health care discrimination on health care outcomes for women of color to examine multiple health care areas encountered across the life course. METHODS: We systematically searched three databases and conducted study screening, data extraction, and quality assessment. We included quantitative and qualitative peer-reviewed literature on racial-ethnic health care discrimination towards women of color, focusing on studies that measured patient-perceived discrimination or differential treatment resulting from implicit provider bias. Results were summarized through narrative synthesis. RESULTS: In total, 84 articles were included spanning different health care domains, such as perinatal and cancer care. Qualitative studies demonstrated the existence of racial-ethnic discrimination across care domains. Most quantitative studies reported a mix of positive and null associations between discrimination and adverse health care outcomes, with variation by the type of health care outcome. For instance, over three-quarters of the studies exploring associations between discrimination/bias and health care-related behaviors or beliefs found significant associations, whereas around two-thirds of the studies on clinical interventions found no significant associations. CONCLUSIONS: This review shows substantial evidence on the existence of racial-ethnic discrimination in health care and its impact on women of color in the U.S. However, the evidence on how this phenomenon influences health care outcomes varies in strength by the type of outcome investigated. High-quality, targeted research using validated measures that is grounded in theoretical frameworks on racism is needed. This systematic review was registered [PROSPERO ID: CRD42018105448].

Key drivers of fertility levels and differentials in India, at the national, state and population subgroup levels, 2015-2016: An application of Bongaarts' proximate determinants model.

OBJECTIVES: The transition to small family size is at an advanced phase in India, with a national TFR of 2.2 in 2015-16. This paper examines the roles of four key determinants of fertility-marriage, contraception, abortion and postpartum infecundability-for India, all 29 states and population subgroups. METHODS: Data from the most recent available national survey, the National Family Health Survey, conducted in 2015-16, were used. The Bongaarts proximate determinants model was used to quantify the roles of the four key factors that largely determine fertility. Methodological contributions of this analysis are: adaptations of the model to the Indian context; measurement of the role of abortion; and provision of estimates for sub-groups nationally and by state: age, education, residence, wealth status and caste. RESULTS: Nationally, marriage is the most important determinant of the reduction in fertility from the biological maximum, contributing 36%, followed by contraception and abortion, contributing 24% and 23% respectively, and post-partum infecundability contributed 16%. This national pattern of contributions characterizes most states and subgroups. Abortion makes a larger contribution than contraception among young women and better educated women. Findings suggest that sterility and infertility play a greater than average role in Southern states; marriage practices in some Northeastern states; and male migration for less-educated women. The absence of stronger relationships between the key proximate fertility determinants and geography or socio-economic status suggests that as family size declined, the role of these determinants is increasingly homogenous. CONCLUSIONS: Findings argue for improvements across all states and subgroups, in provision of contraceptive care and safe abortion services, given the importance of these mechanisms for implementing fertility preferences. In-depth studies are needed to identify policy and program needs that depend on the barriers and vulnerabilities that exist in specific areas and population groups.