- Survey design and data analysis
- Qualitative and quantitative research
- Measure development and refinement
- Quality Improvement
- Delivery System Reforms
Geraldine Haile specializes in survey design, qualitative research and analysis, quantitative analysis, and measure development and refinement. Her research has focused on quality of care, health disparities and vulnerable populations, community health, medical homes, and advanced primary care models.
Haile is currently working on an evaluation of the Comprehensive Primary Care Plus program, leading the development, administration, and analysis of a physician survey to assess implementation and physician experience. Comprehensive Primary Care Plus aims to increase access to and improve the quality and efficiency of primary care. She is also the survey director on an evaluation of the Maryland Total Cost of Care Model, where she leads work on a survey of intervention hospitals to explore strategies that they use to change care delivery in response to model incentives. The Maryland Total Cost of Care Model tests whether statewide accountability for Medicare spending, coupled with new incentives and supports, will transform the delivery of health care statewide. In addition, Haile designed qualitative research methods, developed protocols, and collected and analyzed data for an ongoing evaluation of Medicare prior authorization models. The evaluation assesses whether prior authorization models for repetitive scheduled nonemergent ambulance transport and nonemergent hyperbaric oxygen therapy reduce utilization of services that are not medically necessary while maintaining or improving quality of care and reducing the high improper payment rate for these services.
Before joining Mathematica in 2015, Haile held positions with Johns Hopkins Bloomberg School of Public Health and CareFirst BlueCross BlueShield, among others. She has a Ph.D. in health services research and health policy and management from the Bloomberg School of Public Health, Johns Hopkins University.