Abstract
Abortion, particularly when illegal, highlights inequities in different populations. Although abortion-related mortality is lower compared to other obstetric causes, abortion complications tend to be more lethal. Delays in seeking and obtaining care are determinants of negative outcomes. This study, nested within the GravSus-NE, analyzed healthcare delays and their association with abortion-related complications in three cities of northeastern Brazil (Salvador, Recife and São Luís). Nineteen public maternity hospitals were involved. All eligible women ≥18 years old hospitalized between August and December 2010 were evaluated. Descriptive, stratified and multivariate analyses were performed. Youden's index was used to determine delay. One model was created with all the women and another with those admitted in good clinical conditions, thus determining complications that occurred during hospitalization and their associated factors. Of 2,371 women, most (62.3%) were ≤30 years old (median 27 years) and 89.6% reported being black or brown-skinned. Most (90.5%) were admitted in good condition, 4.0% in fair condition and 5.5% in poor/very poor condition. Median time between admission and uterine evacuation was 7.9 hours. After a cut-off time of 10 hours, the development of complications increased considerably. Black women and those admitted during nightshifts were more likely to experience a wait time ≥10 hours. Delays were associated with severe complications (OR 1.97; 95%CI: 1.55-2.51), including in the women admitted in good condition (OR 2,56; 95%CI: 1.85-3.55), and even following adjustment for gestational age and reported abortion type (spontaneous/induced). These findings corroborate the literature, highlighting the social vulnerability of women hospitalized within Brazil's public healthcare system in a situation of abortion. The study strongpoints include having objectively measured the time between admission and uterine evacuation and having established a cut-off time defining delay based on conceptual and epidemiological criteria. Further studies should evaluate other settings and new measurement tools for effectively preventing life-threatening complications.