Feminización de la pobreza en Bolivia, un análisis a partir de paneles sintéticos
Cecilia Castro Balderrama, IISEC – Universidad Católica Boliviana
Guillermo Gómez Aliaga, IISEC – Universidad Católica Boliviana
In recent years, Bolivia has been characterized by decreasing poverty rates among different groups of population. For a better understanding of this phenomenon, it is important to verify if there is any difference in relation to poverty, between men and women. Therefore, this research unites the concepts of poverty and gender to investigate the feminization of poverty in Bolivia. For this purpose, nonparametric synthetic panels are constructed to verify how the dynamics of poverty vary between households headed by men and households headed by women on 2013 to 2017 period. Results indicate that women had a pattern which was similar to the general population trend, the majority of households headed by women remained out of poverty, a smaller proportion was transiently poor, and that a minimum percentage of households was chronically poor.
Service Delivery Point and Individual Characteristics Associated with Modern Contraceptive Adoption: A Multi Country Longitudinal Analysis
Philip Anglewicz, Johns Hopkins Bloomberg School of Public Health
Carolina Cardona, Johns Hopkins University
Titilope Akinlose, Research Triangle Institute International
Amy Tsui, Johns Hopkins Bloomberg School of Public Health
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 and not just its use. We used prospective data from 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, which operated in urban sites of these five countries. PMA Agile administered a survey to facility managers, followed by a client exit interview survey (CEI). Female clients responding to the CEI were asked for phone numbers that were used for a phone follow up survey approximately four months later. For our analysis, we used data from the CEI baseline and phone follow up survey to compare women who start using contraception during this period with those who remain non users. We used characteristics of the facility and the woman at baseline to predict her contraception adoption in the future. Results: Discussing FP with a partner at baseline was associated with greater odds of adoption in DRC (OR 2.123; 95% CI 0.898–5.017), India (OR 2.486; 95% CI 1.163–5.315), Kenya (OR 1.653; 95% CI 1.159–2.356), and Burkina Faso (OR 1.599; 95% CI 0.963–2.654). Nigerian women who discussed family planning with any staff member at the health facility had 1.89 times greater odds (95% CI 1.231–2.885) of becoming an adopter. Women with secondary education in DRC (OR 2.666 95% CI 1.014–7.012) and Burkina Faso (OR 1.682; 95% CIs 1.006–2.812); and women with college/university education in India (OR 3.237; 95% CIs 1.129–9.276) and Burkina Faso (OR 1.907; 95% CIs 0.971–2.812) had higher odds of adopting modern contraception than women with no education. Conclusions: Characteristics of both the woman and the health facility are associated with adoption of modern contraception in the future. Some characteristics, like discussing family planning with a spouse, education, and parity, are associated with contraceptive adoption across settings. Other characteristics that predict contraceptive use, such as health facility measures, vary across countries.”
Under five mortality in Bolivia: Survival analysis and risk factors from 2003, 2008 and 2016 Health and Demographic Surveys
Pamela Córdova, UPB
Soraya Román, UPB
Zarela Soria Galvarro, UPB
Infant mortality under five years (5q0) is a factor associated with the well being of the population and an indicator of health development and the socioeconomic status of a country. According to the Health Equity Report 2016, the countries with the highest under five mortality rate in Latin America and the Caribbean are Bolivia and Haiti. This study seeks to identify the effects of individual, household and community (contextual) factors on the under five mortality rate. Initially, we estimate survival times for 2003, 2008 and 2016 health and demographic surveys using the Kaplan Meier function. Then, we use Cox’s proportional hazards model and Cox’s hierarchical (or multilevel) proportional model to compare children under five’s risk of death for different years and covariates. We find an increase in the concentration of deaths in the first year of life over time, especially during the first month of life (neonatal mortality). In addition, the study shows important differences in the risk of death respect to the region of residence (East and West for data from the ENDSA 2003 and Altiplano, Valleys and Llanos for the ENDSA 2008 and EDSA 2016). Hence, for policy recommendations, future studies should focus on the identification of 5q0 risk factors for each region of Bolivia separately.