scholarly journals Estimating the impact of donor programs on child mortality in low- and middle-income countries: a synthetic control analysis of child health programs funded by the United States Agency for International Development

2022 ◽  
Vol 20 (1) ◽  
Author(s):  
William Weiss ◽  
Bhumika Piya ◽  
Althea Andrus ◽  
Karar Zunaid Ahsan ◽  
Robert Cohen
Keyword(s):  
International Development ◽  
Large Scale ◽  
Health Programs ◽  
Control Analysis ◽  
Synthetic Control ◽  
Middle Income ◽  
Middle Income Countries ◽  
Child Health Programs ◽  
The Impact ◽  
Low And Middle Income

Abstract Background Significant levels of funding have been provided to low- and middle-income countries for development assistance for health, with most funds coming through direct bilateral investment led by the USA and the UK. Direct attribution of impact to large-scale programs funded by donors remains elusive due the difficulty of knowing what would have happened without those programs, and the lack of detailed contextual information to support causal interpretation of changes. Methods This study uses the synthetic control analysis method to estimate the impact of one donor’s funding (United States Agency for International Development, USAID) on under-five mortality across several low- and middle-income countries that received above average levels of USAID funding for maternal and child health programs between 2000 and 2016. Results In the study period (2000–16), countries with above average USAID funding had an under-five mortality rate lower than the synthetic control by an average of 29 deaths per 1000 live births (year-to-year range of − 2 to − 38). This finding was consistent with several sensitivity analyses. Conclusions The synthetic control method is a valuable addition to the range of approaches for quantifying the impact of large-scale health programs in low- and middle-income countries. The findings suggest that adequately funded donor programs (in this case USAID) help countries to reduce child mortality to significantly lower rates than would have occurred without those investments.

scholarly journals Estimating the impact of donor programs on child mortality in low- and middle-income countries: a synthetic control analysis of child health programs funded by the United States Agency for International Development

2020 ◽  
Author(s):  
William M. Weiss ◽  
Piya Bhumika ◽  
Althea Andrus ◽  
Robert Cohen
Keyword(s):  
United States ◽  
International Development ◽  
The United States ◽  
Health Programs ◽  
Control Analysis ◽  
Synthetic Control ◽  
Middle Income ◽  
Middle Income Countries ◽  
The Impact ◽  
Low And Middle Income

Abstract Background Significant levels of funding have been provided to low- and middle-income countries for development assistance for health, with most funds coming through direct bilateral investment led by the United States and the United Kingdom. Direct attribution of impact to large scale programs funded by donors remains elusive due the difficulty of knowing what would have happened without those programs, and the lack of detailed contextual information to support causal interpretation of changes. Methods This study uses the synthetic control analysis method to estimate the impact of one donor’s funding (United States Agency for International Development, USAID) on under-five mortality across several low- and middle-income countries that received above average levels of USAID funding for maternal and child health programs between 2000 and 2016. Results In the study period (2000-16), countries with above average USAID funding had an under-fiver mortality rate lower than the synthetic control by an average of 29 deaths per 1,000 live births (year to year range of 2 – 38). This finding was stable across several sensitivity analyses. Conclusions The synthetic control method is a valuable addition to the range of approaches for quantifying the impact of large-scale health programs in low- and middle-income countries. The findings suggest that adequately funded donor programs (in this case USAID) help countries to reduce child mortality to significantly lower rates than would have occurred without those investments.

scholarly journals Estimating the Impact of Donor Programs on Child Mortality in Low- and Middle-income Countries: A Synthetic Control Analysis of Child Health Programs Funded by the United States Agency for International Development

2020 ◽  
Author(s):  
William Weiss ◽  
Bhumika Piya ◽  
Andrus Althea ◽  
Robert Cohen
Keyword(s):  
United States ◽  
International Development ◽  
The United States ◽  
Health Programs ◽  
Control Analysis ◽  
Synthetic Control ◽  
Middle Income ◽  
Middle Income Countries ◽  
The Impact ◽  
Low And Middle Income

Abstract BackgroundSignificant levels of funding have been provided to low- and middle-income countries for development assistance for health, with most funds coming through direct bilateral investment led by the United States and the United Kingdom. Direct attribution of impact to large scale programs funded by donors remains elusive due the difficulty of knowing what would have happened without those programs, and the lack of detailed contextual information to support causal interpretation of changes. MethodsThis study uses the synthetic control analysis method to estimate the impact of one donor’s funding (United States Agency for International Development, USAID) on under-five mortality across several low- and middle-income countries that received above average levels of USAID funding for maternal and child health programs between 2000 and 2016. ResultsIn the study period (2000-16), countries with above average USAID funding had an under-fiver mortality rate lower than the synthetic control by an average of 29 deaths per 1,000 live births (year to year range of 2 – 38). This finding was stable across several sensitivity analyses. ConclusionsThe synthetic control method is a valuable addition to the range of approaches for quantifying the impact of large-scale health programs in low- and middle-income countries. The findings suggest that adequately funded donor programs (in this case USAID) help countries to reduce child mortality to significantly lower rates than would have occurred without those investments.

More than poverty

2016 ◽  
Vol 40 (6) ◽  
pp. 536-543 ◽  
Author(s):  
Theodore D. Wachs ◽  
Santiago Cueto ◽  
Haogen Yao
Keyword(s):  
Low Income ◽  
Large Scale ◽  
Cumulative Risk ◽  
Low Income Countries ◽  
Data Set ◽  
Middle Income ◽  
Middle Income Countries ◽  
Developmental Risks ◽  
The Impact ◽  
Low And Middle Income

Studies from both high and low-middle income (LAMI) countries have documented how being reared in poverty is linked to compromised child development. Links between poverty and development are mediated by the timing and extent of exposure to both risk factors nested under poverty and to protective influences which can attenuate the impact of risk. While children from high-, middle-, and low-income countries are exposed to similar types of developmental risks, children from low- and middle-income countries are exposed to a greater number, more varied and more intense risks. Given these contextual differences, cumulative risk models may provide a better fit than mediated models for understanding the nature of pathways linking economic insufficiency and developmental inequality in low- and middle-income countries, and for designing interventions to promote development of children from these countries. New evidence from a large scale UNICEF data set illustrates the application of a cumulative risk/protective perspective in low- and middle-income countries.

scholarly journals The impact of COVID-19 on the care of people living with noncommunicable diseases in low- and middle-income countries: an online survey of physicians and pharmacists in nine countries

2021 ◽  
Vol 22 ◽  
Author(s):  
Chris Bullen ◽  
Jessica McCormack ◽  
Amanda Calder ◽  
Varsha Parag ◽  
Kannan Subramaniam ◽  
...  
Keyword(s):  
Public Health ◽  
Healthcare Workers ◽  
Online Survey ◽  
World Health ◽  
Noncommunicable Diseases ◽  
Middle Income ◽  
Middle Income Countries ◽  
Health Measures ◽  
The Impact ◽  
Low And Middle Income

Abstract Background: The global COVID-19 pandemic has disrupted healthcare worldwide. In low- and middle-income countries (LMICs), where people may have limited access to affordable quality care, the COVID-19 pandemic has the potential to have a particularly adverse impact on the health and healthcare of individuals with noncommunicable diseases (NCDs). A World Health Organization survey found that disruption of delivery of healthcare for NCDs was more significant in LMICs than in high-income countries. However, the study did not elicit insights into the day-to-day impacts of COVID-19 on healthcare by front-line healthcare workers (FLHCWs). Aim: To gain insights directly from FLHCWs working in countries with a high NCD burden, and thereby identify opportunities to improve the provision of healthcare during the current pandemic and in future healthcare emergencies. Methods: We recruited selected frontline healthcare workers (general practitioners, pharmacists, and other medical specialists) from nine countries to complete an online survey (n = 1347). Survey questions focused on the impact of COVID-19 pandemic on clinical practice and NCDs; barriers to clinical care during the pandemic; and innovative responses to the many challenges presented by the pandemic. Findings: The majority of FLHCWs responding to our survey reported that their care of patients had been impacted both adversely and positively by the public health measures imposed. Most FLHCs (95%) reported a deterioration in the mental health of their patients. Conclusions: Continuity of care for NCDs as part of pandemic preparedness is needed so that chronic conditions are not exacerbated by public health measures and the direct impacts of the pandemic.

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