It Takes a Village

2018 ◽  
Vol 4 (2) ◽  
pp. 145-168
Author(s):  
Rebekah Burroway ◽  
Andrew Hargrove
Keyword(s):  
Women's Education ◽  
Spatial Data ◽  
Well Being ◽  
Demographic And Health Surveys ◽  
Community Characteristics ◽  
Middle Income ◽  
Middle Income Countries ◽  
Key Factor ◽  
The Individual

Women's education is widely recognized as a key factor in improving well-being in developing countries. However, previous research rarely considers both the individual and contextual effects of education. As broad societal transformations take place, education may shape women's capacity to take advantage of better access to power and resources, resulting in a dispersion effect of expanded women's education on well-being. Combining multilevel modeling with spatial data techniques, this study investigates variation in child malnutrition in Nigeria based on a set of individual and community characteristics. Nigeria is an interesting development case study because it outperforms other lower middle-income countries in GDP per capita, yet lags behind in many indicators of well-being. Drawing on data from the Demographic and Health Surveys and the Global Administrative Areas database, the analysis pools data on 24,990 children across 458 communities. Results indicate that women's education has a robust association with malnutrition at the community level, even controlling for a variety of household characteristics. This suggests that education has a protective effect on child health not only because more individual women are going to school, but also because everyone benefits from the education and empowerment of women in the community.

scholarly journals Comparative Analysis of Health and Economic Growth Nexus: A Case Study of Bangladesh, India and Pakistan

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Muska Nazir, Dr. Ahmed Farhan Saeed, Dr. Sanam Wagma Khattak
Keyword(s):  
Economic Growth ◽  
Comparative Analysis ◽  
Positive Relationship ◽  
Health Indicators ◽  
Efficient Utilization ◽  
Middle Income ◽  
Middle Income Countries ◽  
Key Factor ◽  
Relationship Of

Health is one of the key factor that determines the growth of an economy. It is the improved health of the labor that can translate into increased output levels, higher level of productivity and efficient utilization of resources. For the study, Pooled OLS regression over the period from 1980-2017 is applied on panel data to find the results of health and economic growth nexus for three lower middle income countries that are Bangladesh, India and Pakistan. For Pakistan, Bangladesh and India, their statistics provides further support to existing literature showing a significant and positive relationship of health with economic growth. Comparing their results, it is found that India’s better health facilities are contributing more towards economic growth as compared to Pakistan and Bangladesh. Therefore, their focus too should be on improvement of health indicators in order to achieve higher economic growth levels.

Social Protection, Adolescent Well-Being, and Development in Low- and Middle-Income Countries

2018 ◽  
Author(s):  
Suman Verma
Keyword(s):  
Social Inclusion ◽  
Social Protection ◽  
Well Being ◽  
Middle Income ◽  
Developmental Potential ◽  
Goods And Services ◽  
Middle Income Countries ◽  
Social Protection Systems ◽  
Cycle Of Poverty ◽  
Low And Middle Income

Effective social protection policies are crucial to realizing adolescents’ rights, ensuring their well-being, breaking the cycle of poverty and vulnerability, and helping them realize their full developmental potential. Low- and middle-income countries (LMICs) have extended social security coverage to ensure basic protections—while continuing to develop social protection systems. Social protection for LMIC adolescents in the context of gross violations of their basic rights is examined. Prevalence, consequences of protection rights violations, and the role and impact of social protection programs in ensuring enhanced opportunities for development and well-being among young people are discussed. Results demonstrate direct impacts (e.g., increased income, consumption, goods and services access; greater social inclusion; reduced household stress). LMICs need integrated social protection policy and program expansion if the 2030 Agenda for Sustainable Development is to be realized. With adolescent-centered policies and investments, governments can help adolescents realize their rights to a fulfilling and productive life.

scholarly journals Evidence for Better Lives Study: a comparative birth-cohort study on child exposure to violence and other adversities in eight low- and middle-income countries - foundational research (study protocol)

BMJ Open ◽  
2020 ◽  
Vol 10 (10) ◽  
pp. e034986 ◽  
Author(s):  
Sara Valdebenito ◽  
Aja Murray ◽  
Claire Hughes ◽  
Adriana Băban ◽  
Asvini D Fernando ◽  
...  
Keyword(s):  
Sri Lanka ◽  
Pregnant Women ◽  
Exposure To Violence ◽  
Well Being ◽  
The Philippines ◽  
Middle Income ◽  
Violence Against Children ◽  
Middle Income Countries ◽  
Stress Markers ◽  
Foundational Research

IntroductionViolence against children is a health, human rights and social problem affecting approximately half of the world’s children. Its effects begin at prenatal stages with long-lasting impacts on later health and well-being. The Evidence for Better Lives Study (EBLS) aims to produce high-quality longitudinal data from cities in eight low- and middle-income countries—Ghana, Jamaica, Pakistan, the Philippines, Romania, South Africa, Sri Lanka and Vietnam—to support effective intervention to reduce violence against children. EBLS-Foundational Research (EBLS-FR) tests critical aspects of the planned EBLS, including participant recruitment and retention, data collection and analysis. Alongside epidemiological estimates of levels and predictors of exposure to violence and adversity during pregnancy, we plan to explore mechanisms that may link exposure to violence to mothers’ biological stress markers and subjective well-being.Methods and analysesEBLS-FR is a short longitudinal study with a sample of 1200 pregnant women. Data are collected during the last trimester of pregnancy and 2 to 6 months after birth. The questionnaire for participating women has been translated into nine languages. Measures obtained from mothers will include, among others, mental and physical health, attitudes to corporal punishment, adverse childhood experiences, prenatal intimate partner violence, substance use and social/community support. Hair and dry blood spot samples are collected from the pregnant women to measure stress markers. To explore research participation among fathers, EBLS-FR is recruiting 300 fathers in the Philippines and Sri Lanka.Ethics and disseminationThe study received ethical approvals at all recruiting sites and universities in the project. Results will be disseminated through journal publications, conferences and seminar presentations involving local communities, health services and other stakeholders. Findings from this work will help to adjust the subsequent stages of the EBLS project.

scholarly journals Finding Children with High Risk of Non-Vaccination in 92 Low- and Middle-Income Countries: A Decision Tree Approach

Vaccines ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 646
Author(s):  
Thiago M. Santos ◽  
Bianca O. Cata-Preta ◽  
Cesar G. Victora ◽  
Aluisio J. D. Barros
Keyword(s):  
High Risk ◽  
Decision Tree ◽  
Immunization Coverage ◽  
Risk Groups ◽  
Demographic And Health Surveys ◽  
Middle Income ◽  
Agenda 2030 ◽  
Middle Income Countries ◽  
Tree Approach ◽  
Low And Middle Income

Reducing vaccination inequalities is a key goal of the Immunization Agenda 2030. Our main objective was to identify high-risk groups of children who received no vaccines (zero-dose children). A decision tree approach was used for 92 low- and middle-income countries using data from Demographic and Health Surveys and Multiple Indicator Cluster Surveys, allowing the identification of groups of children aged 12–23 months at high risk of being zero dose (no doses of the four basic vaccines—BCG, polio, DPT and measles). Three high-risk groups were identified in the analysis combining all countries. The group with the highest zero-dose prevalence (42%) included 4% of all children, but almost one in every four zero-dose children in the sample. It included children whose mothers did not receive the tetanus vaccine during and before the pregnancy, who had no antenatal care visits and who did not deliver in a health facility. Separate analyses by country presented similar results. Children who have been missed by vaccination services were also left out by other primary health care interventions, especially those related to antenatal and delivery care. There is an opportunity for better integration among services in order to achieve high and equitable immunization coverage.

scholarly journals Development and application of a hybrid implementation research framework to understand success in reducing under-5 mortality in Rwanda

2021 ◽  
Vol 5 ◽  
pp. 72
Author(s):  
Lisa R. Hirschhorn ◽  
Miriam Frisch ◽  
Jovial Thomas Ntawukuriryayo ◽  
Amelia VanderZanden ◽  
Kateri Donahoe ◽  
...  
Keyword(s):  
Health System ◽  
Implementation Research ◽  
Contextual Factors ◽  
Common Pathway ◽  
Middle Income ◽  
Middle Income Countries ◽  
Mixed Methods Case Study ◽  
Hybrid Framework ◽  
Successes And Challenges

Background: We describe the development and testing of a hybrid implementation research (IR) framework to understand the pathways, successes, and challenges in addressing amenable under-5 mortality (U5M) – deaths preventable through health system-delivered evidence-based interventions (EBIs) – in low- and middle-income countries (LMICs). Methods: We reviewed existing IR frameworks to develop a hybrid framework designed to better understand U5M reduction in LMICs from identification of leading causes of amenable U5M, to EBI choice, identification and testing of strategies, work to achieve sustainability at scale and key contextual factors. We then conducted a mixed-methods case study of Rwanda using the framework to explore its utility in understanding the steps the country took in EBI-related decision-making and implementation between 2000-2015, key contextual factors which hindered or facilitated success, and extract actionable knowledge for other countries working to reduce U5M. Results: While relevant frameworks were identified, none individually covered the scope needed to understand Rwanda’s actions and success. Building on these frameworks, we combined and adapted relevant frameworks to capture exploration, planning, implementation, contextual factors in LMICs such as Rwanda, and outcomes beyond effectiveness and coverage. Utilizing our hybrid framework in Rwanda, we studied multiple EBIs and identified a common pathway and cross-cutting strategies and contextual factors that supported the country’s success in reducing U5M through the health system EBIs. Using these findings, we identified transferable lessons for other countries working to accelerate reduction in U5M. Conclusions: We found that a hybrid framework building on and adapting existing frameworks was successful in guiding data collection and interpretation of results, emerging new insights into how and why Rwanda achieved equitable introduction and implementation of health system EBIs that contributed to the decline in U5M, and generated lessons for countries working to drop U5M.

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