The color of pain: racial iniquities in prenatal care and childbirth in Brazil

Entering a hospital does not guarantee equal care. The color of pain turns that distinction into a comparative research question: when prenatal services and hospital birth are widely available, which women still struggle to obtain adequate examinations, a reliable route to a maternity hospital, companionship and pain relief? This 2017 paper by Maria do Carmo Leal and five co-authors locates racial inequality within ordinary care processes, beyond whether a service exists or a patient survives. Reproductive justice concerns both access to institutions and how people are treated inside them.

A national survey is not one denominator for every woman

The paper uses interviews and medical records from Nascer no Brasil, or Birth in Brazil. The parent survey ran from February 2011 to October 2012 and included 23,894 women in 266 hospitals. Its hospital sampling frame covered institutions with at least 500 births per year and considered region, capital versus non-capital location, and hospital type. That supports national analysis without representing every setting where births occur. Language and communication exclusions also shaped participation; people outside the sample did not thereby cease to need care.

Participants self-classified their race/color using Brazilian official categories. The analysis retains branca, preta and parda, broadly rendered as white, Black, and brown or mixed-race categories. Those translations cannot replace the local history of classification. Indigenous women and the amarela category were excluded from these comparisons because their numbers were too small. The political category of Black women can connect preta and parda, while this analysis distinguishes them. That separation can reveal differences which aggregation obscures, without making the categories biological essences or markers of innate pain tolerance.

The authors separately compare preta with branca, preta with parda, and parda with branca. Propensity-score matching uses region, economic class, age, education, source of payment for childbirth and parity to bring the groups closer on measured characteristics. Each comparison produces its own subsample: 23,894 cannot serve repeatedly as the denominator for every result. Nor does the statistical label “treatment group” mean race was randomly assigned. Matching addresses some observed differences; it cannot remove unmeasured factors or establish the cause of each unequal encounter.

Disparities within the continuity of care

Adequate prenatal care is not simply a count of appointments. The paper’s composite indicator considers when care began, visits appropriate to gestational age, records of recommended tests, and guidance about the maternity facility for delivery. Contact with the health system and coherent, adequate care are different achievements. A system with extensive coverage can still leave pregnant women to chase examinations, work out the next step and find a hospital that will receive them.

In the matched preta–branca comparison, the odds ratio for inadequate prenatal care is 1.62, with a 95% confidence interval of 1.38–1.91 (Table 2). Odds compare an event’s probability with its complementary probability. This estimate is neither a 62-percentage-point difference nor automatically a 62% increase in the probability of inadequate care. Its importance is that a disparity remains among women made more similar on measured conditions. It does not establish that class is irrelevant or turn racism into a factor separable from history and administered like a treatment.

Other measures concern knowing the maternity facility, seeking more than one hospital for admission, and having a companion never, sometimes or throughout hospitalization. Together they present care as a pathway that institutions must sustain. Companionship involves institutional admission and arrangements as well as personal relationships; searching between hospitals should not simply be blamed on a woman’s failure to plan. The estimates nevertheless cannot tell us why each woman lacked a companion or reconstruct every hospital’s decision-making process.

Pain relief requires especially careful conditions. Table 2 compares no local anesthesia for episiotomy with anesthesia before cutting; the preta–branca odds ratio is 1.49, with a 95% confidence interval of 1.06–2.08. This is not the percentage of all Black women denied every kind of pain relief, nor one comparison covering all modes of birth. Vaginal birth, undergoing episiotomy and the timing of anesthesia delimit the question. Removing those conditions converts a striking result into a different claim the research did not make.

Fewer interventions do not automatically mean respect

Some groups also underwent fewer cesarean sections, episiotomies and oxytocin interventions. Treating either more or less intervention as a direct measure of quality creates a contradiction: unnecessary intervention can cause harm, while inadequate provision of necessary care can also express inequality. Clinical need, information, consent and available care matter. Group frequencies cannot decide whether each procedure was necessary, and the paper does not support giving everyone more procedures simply to equalize statistical rates.

The discussion situates these disparities within institutional racism and considers beliefs that Black bodies tolerate pain better. Yet the authors explicitly acknowledge that the parent survey was not designed to identify racism’s particular actors and mechanisms. It did not directly examine them through a discrimination scale or a dedicated qualitative study, and it lacks providers’ classifications of patients’ race/color. Self-identification and classification by others may diverge. The study identifies inequality requiring explanation and change; it cannot show that every professional holds the same belief.

From measurable differences to institutional accountability

Overall satisfaction cannot substitute for examining the content of care. The paper does not find clear overall satisfaction differences across every race/color group, but satisfaction is a different variable from companionship, guidance or appropriate pain relief. How expectations shape evaluations needs further investigation. Similar aggregate ratings cannot cancel specific service disparities. Nor should Indigenous women and people facing communication barriers lose a place in reproductive justice because the analysis does not represent them.

The 2015 Black Women’s March Declaration offers a useful distinction between political demands and empirical measurement. It calls for dignified life, bodily autonomy and public services free from racism; this paper turns some care disparities into questions institutions must answer. The survey predates the march and cannot test its effects. Data Feminism extends the inquiry: who defines adequate care, who disappears through sampling and classification, and can those documenting inequality help change services? Connecting measured disparities to accountable institutions prevents statistics from merely classifying harmed people again.