Demand and unmet need for modern contraception among mothers from a Pelotas Birth Cohort

ABSTRACT OBJECTIVE To determine the total demand and unmet need for contraception with modern methods and their determinants among mothers participating in the 2015 Pelotas Birth Cohort. METHODS Data from the 48-month follow-up of mothers participating in the 2015 Pelotas Birth Cohort were analyzed. Only biological mothers (aged up to 49 years) of children belonging to the 2015 Birth Cohort and who answered the 48-month questionnaire were included in the study sample. Logistic regression and respective 95% confidence intervals were used to determine associated factors. RESULTS The study sample consisted of 3577 biological mothers. The prevalence of use of any contraceptive and of modern contraceptives was 86.0% (95%CI: 84.8-87.1) and 84.9% (95%CI: 83.7-86.1), respectively. The prevalence of unmet need for modern contraceptives was 10.7% (95%CI: 9.7-11.7), and the total demand for contraceptives was 95.6%. The factors associated with an unmet need for modern contraception were being over 34 years of age (OR = 0.6, 95%CI: 0.5-0.8), not having a husband or partner (OR = 1.9, 95%CI: 1.4-2.6), not being the head of the household (OR = 0.6, 95%CI: 0.4-0.9), having had three or more pregnancies (OR = 1.9, 95%CI: 1.3-2.6), and having had an abortion at least once after the birth of the child participating in the cohort (OR = 1.9, 95%CI: 1.0-3.6). CONCLUSIONS Despite the high prevalence of modern contraceptive use, one in ten women had an unmet need for modern contraception and was at risk of unplanned pregnancy.

Identifying the women most vulnerable to intimate partner violence: A decision tree analysis from 48 low and middle-income countries.

BACKGROUND: Primary prevention strategies are needed to reduce high rates of intimate partner violence (IPV) in low- and middle-income countries (LMICs). The effectiveness of population-based approaches may be improved by adding initiatives targeted at the most vulnerable groups and tailored to context-specificities. METHODS: We applied a decision-tree approach to identify subgroups of women at higher risk of IPV in 48 LMICs and in all countries combined. Data from the most recent Demographic and Health Survey carried out between 2010 and 2019 with available information on IPV and sociodemographic indicators was used. To create the trees, we selected 15 recognized risk factors for IPV in the literature which had a potential for targeting interventions. Exposure to IPV was defined as having experienced physical and/or sexual IPV in the past 12 months. FINDINGS: In the pooled decision tree, witnessing IPV during childhood, a low or medium empowerment level and alcohol use by the partner were the strongest markers of IPV vulnerability. IPV prevalence amongst the most vulnerable women was 43% compared to 21% in the overall sample. This high-risk group included women who witnessed IPV during childhood and had lower empowerment levels. These were 12% of the population and 1 in 4 women who experienced IPV in the selected LMICs. Across the individual national trees, subnational regions emerged as the most frequent markers of IPV occurrence. INTERPRETATION: Starting with well-known predictors of IPV, the decision-tree approach provides important insights about subpopulations of women where IPV prevalence is high. This information can help designing targeted interventions. For a large proportion of women who experienced IPV, however, no particular risk factors were identified, emphasizing the need for population wide approaches conducted in parallel, including changing social norms, strengthening laws and policies supporting gender equality and women´s rights as well as guaranteeing women´s access to justice systems and comprehensive health services. FUNDING: Bill and Melinda Gates Foundation (Grant INV-010051/OPP1199234), Wellcome Trust (Grant Number: 101815/Z/13/Z) and Associação Brasileira de Saúde Coletiva (ABRASCO).