A key element of HAI’s mission in the countries that we work is to use rigorous scientific methods to conduct cutting-edge research and evaluation aimed at improving the functioning of government primary healthcare systems.
As a center of the University of Washington’s Department of Global Health, HAI houses faculty and staff that are world leaders in implementation science: a systematic, scientific approach to ask and answer questions about how to get “what works” to those who need it with greater speed, fidelity, efficiency, and coverage. In line with the HAI model, all research and evaluation conducted at HAI is in partnership with our Ministry of Health and other government colleagues in the countries we work.
Our staff trains the next leaders in implementation science through the University of Washington’s PhD program in Implementation Science through the Department of Global Health, while also training in-country colleagues in each country we work. Given the interdisciplinary nature of Implementation Science, we have active collaborations across numerous departments at the University of Washington, including, but not limited to: global health, industrial and systems engineering, epidemiology, biostatistics, medicine, nursing, psychiatry and behavioral sciences, anthropology, health services, and pharmacy.
Specifically, our research and evaluation approaches span from: (1) operational or quality improvement approaches, focused on integrating engineering and mathematical approaches to iteratively improve the provision of healthcare at the level of individual health facilities and healthcare providers; (2) implementation research focused on improving system organization and data-driven decision-making for health program managers at the district and provincial levels; and (3) health system research and evaluation to drive policy and resource allocation across the public-sector healthcare delivery system.
We conduct evaluations both to test novel system improvement interventions in controlled settings such as cluster-randomized or stepped-wedge trials, along with studying the current functionality and effectiveness of the healthcare system to drive future improvements in healthcare quality, efficiency, and patient satisfaction.