Year Published
- 2008 (3) Apply 2008 filter
- 2009 (1) Apply 2009 filter
- 2010 (3) Apply 2010 filter
- 2011 (0)
- 2012 (2) Apply 2012 filter
- 2013 (1) Apply 2013 filter
- 2014 (0)
- (-) Remove 2015 filter 2015
- 2016 (3) Apply 2016 filter
- 2017 (4) Apply 2017 filter
- (-) Remove 2018 filter 2018
- 2019 (0)
- 2020 (0)
- 2021 (0)
Research Topics
Populations
- Countries/Governments (2) Apply Countries/Governments filter
- Rural Populations (0)
- Smallholder Farmers (0)
- Women (0)
Types of Research
- Data Analysis (0)
- (-) Remove Literature Review filter Literature Review
- Portfolio Review (0)
- Research Brief (0)
Geography
- East Africa Region and Selected Countries (0)
- Global (4) Apply Global filter
- South Asia Region and Selected Countries (0)
- Southern Africa Region and Selected Countries (0)
- Sub-Saharan Africa (0)
- West Africa Region and Selected Countries (0)
Dataset
- ASTI (0)
- FAOSTAT (0)
- Farmer First (0)
- LSMS & LSMS-ISA (0)
- Other Datasets (0)
Current search
- (-) Remove Food Security & Nutrition filter Food Security & Nutrition
- (-) Remove Education & Training filter Education & Training
- (-) Remove Monitoring & Evaluation filter Monitoring & Evaluation
- (-) Remove 2015 filter 2015
- (-) Remove Global & Regional Public Goods filter Global & Regional Public Goods
- (-) Remove Literature Review filter Literature Review
- (-) Remove 2018 filter 2018
- (-) Remove Risk, Preferences, & Decision-Making filter Risk, Preferences, & Decision-Making
The private sector is the primary investor in health research and development (R&D) worldwide, with investment annual investment exceeding $150 billion, although only an estimated $5.9 billion is focused on diseases that primarily affect low and middle-income countries (LMICs) (West et al., 2017b). Pharmaceutical companies are the largest source of private spending on global health R&D focused on LMICs, providing $5.6 billion of the $5.9 billion in total private global health R&D per year. This report draws on 10-K forms filed by Pharmaceutical companies with the U.S. Securities and Exchange Commission (SEC) in the year 2016 to examine the evidence for five specific disincentives to private sector investment in drugs, vaccines and therapeutics for global health R&D: scientific uncertainty, weak policy environments, limited revenues and market uncertainty, high fixed costs for research and manufacturing, and imperfect markets. 10-K reports follow a standard format, including a business section and a risk section which include information on financial performance, investment options, lines of research, promising acquisitions and risk factors (scientific, market, and regulatory). As a result, these filings provide a valuable source of information for analyzing how private companies discuss risks and challenges as well as opportunities associated with global health R&D targeting LMICs.
This report reviews approaches to results measurement used by multilateral and bilateral donor organizations and highlights trends and gaps in how donors measure and report on their performance. Our review consists of assessing donor organizations in terms of their institutional design and levels of evaluation for results measurement, their organizational processes for measuring types of results including coordination and alignment with recipients, outputs and implementation, outcomes and impacts, and costs and effectiveness, and their processes for reporting and using results information. We collect evidence on 12 bilateral organizations and 10 multilateral organizations. The evidence review includes multi-country reviews of aid effectiveness, peer reviews by other donor organizations, donor evaluation plans and frameworks, and donor results and reporting documents. The report is based on an accompanying spreadsheet that contains the coded information from the 22 donor organizations. We find that donors report several types of results, but that there are challenges to measuring certain results at the aggregate donor level, due to challenges with funding and coordination for results measurement at the project, country, portfolio, and donor levels. Approaches to results measurement vary across donor organizations. We identify some trends and differences among groups of donors, notably between bilateral and multilateral donors, but overall there are no clear delineations in how donors approach results measurement.
Aid results information is often not comparable, since monitoring and evaluation frameworks, information gathering processes, and definitions of “results” differ across donors and governments. This report reviews approaches to results monitoring and evaluation used by governments in developing countries, and highlights trends and gaps in national monitoring and evaluation (M&E) systems. We collect evidence on 42 separate government M&E systems in 23 developing countries, including 17 general national M&E systems and 25 sector-specific national M&E systems, with 14 focused on HIV/AIDS, 8 on health, and 3 on agriculture. The evidence review includes external case studies and evaluations of M&E systems, government M&E assessments, M&E plans, strategic plans with an M&E component, and multi-country reviews of M&E, accountability, and aid effectiveness. We evaluate harmonization of government and development partner M&E systems, coordination and institutionalization of government M&E, challenges in data collection and monitoring, and analysis and use of results information. We also report on key characteristics of M&E systems in different sectors.
This report reviews the current body of peer-reviewed scholarship exploring the impacts of morbidity on economic growth. This overview seeks to provide a concise introduction to the major theories and empirical evidence linking morbidity – and the myriad different measures of morbidity – to economic growth, which is defined primarily in terms of gross domestic product (GDP) and related metrics (wages, productivity, etc.). Through a systematic review of published manuscripts in the fields of health economics and economic development we further identify the most commonly-used pathways linking morbidity to economic growth. We also highlight the apparent gaps in the empirical literature (i.e., theorized pathways from morbidity to growth that remain relatively untested in the published empirical literature to date).