Objectives: To estimate age-specific abortion incidence and unintended pregnancy in Kinshasa, Democratic Republic of Congo and compare care experiences between adolescents (15-19 years) and older women (20-49 years).
Design: We used the age-specific variant of the Abortion Incidence Complications Method to estimate abortion and unintended pregnancy, with data from three primary sources: Health Facility Survey (n=361) provided postabortion care (PAC) caseloads; Prospective Morbidity Survey (n=1031) provided the age distribution and characteristics of women presenting for PAC and Health Professional Survey (n=115) provided an estimate of the proportion of abortions resulting in facility-based treatment of complications. Bivariate (χ, t-test) and multivariable (binary logistic regression, Cox proportional hazard) analyses were used to compare abortion care experiences.
Background: Women who start using contraception ("adopters") are a key population for family planning goals, but little is known about characteristics that predict the adoption of contraception as opposed to current use. We used prospective data from women and facilities for five countries, (Democratic Republic of Congo, India, Kenya, Nigeria, and Burkina Faso) and identified baseline characteristics that predicted adoption of modern contraception in the short term.
Methods: We used data from the Performance Monitoring for Action (PMA) Agile Project.
Introduction: The objective of this study is to assess change over time in the modern contraceptive prevalence rate (MCPR) and related variables among married women of reproductive age (15-49 years) in the military population in Kinshasa, Democratic Republic of Congo, compared to women in the non-military population, based on cross-sectional surveys in 2016 and 2019.
Methods: Data among women living in military camps were collected as a special study of contraceptive knowledge, use, and exposure to FP messaging, for comparison to women in the non-military population from the annual PMA2020 survey. Both used a two-stage cluster sampling design to randomly select participants.
Purpose: This paper used data from the Global Early Adolescent Study (GEAS) to provide a descriptive analysis of how early adolescents' social environments vary by sex across diverse cultural settings.
Methods: The analyses were based on baseline data among 10-14-year old adolescents living in disadvantaged urban areas in seven sites: Kinshasa (DRC), Shanghai (China), Cuenca (Ecuador), Lampung, Semarang and Denpasar (Indonesia), and Flanders (Belgium). Except in Kinshasa where face-to face interviews were used, data were collected using self-administered surveys on mobile tablets.