- Healthcare must be consciously designed for both patient-level and population-level outcomes;
- The challenge of healthcare demands global collaboration between grassroots providers, policy makers, and implementation scientists;
- Transforming healthcare delivery requires an iterative process of experimentation, reflection, and analysis;
- Scientific evaluation of healthcare interventions, when performed effectively, can improve the very processes of healthcare delivery;
- Both delivery design and scientific evaluation should be as “simple as possible, but no simpler.”
Areas of Inquiry
Our research team investigates questions focused on the pragmatic challenges of rural healthcare delivery within public-sector district health systems in areas of extreme poverty. We focus on questions of management, work-place, care-coordination, and work-flow innovations and their assessment. Some of the challenges we are currently tackling:
- How can a district healthcare system best coordinate advanced surgical care from the community level to the specialty referral center?
- What components of service delivery at the primary clinic and hospital level determine institutional birth rates?
- How can hospital-based staff best support and mentor primary care clinics in their catchment areas to improve the delivery of evidence-based tools for child survival?
- What are the optimal ways to structure financial incentives in district-level public-private investment partnerships to improve patient and population outcomes?
- What are the characteristics of an effective mobile health tool for care-coordination in rural areas?
- How do we incorporate a Chronic Care Model across all tiers of the district healthcare system to optimize symptom management and outcomes for patients suffering from chronic diseases?
Randomized trial: The application of randomization to control and intervention groups across time and space to reduce bias and allow for more rigorous assessment of intervention impact.
Prospective intervention studies: The longitudinal study of populations and healthcare systems over time to assess the characteristics and impact of interventions.
Mixed methods analysis: The use of qualitative and quantitative analytic tools to better understand the processes, challenges, strengths, weaknesses, and scalability of interventions.