We will work with you to design and implement database studies that address your health economics and outcomes research questions. We have experience with North American and European cross-sectional and longitudinal datasets and have implemented database studies on topics such as:
Disease prevalence, severity and impact
Cost of illness
Treatment patterns
Cost of treatment
Comparative effectiveness
Healthcare resource utilization
Value of alternative treatments
Treatment gaps
Access the Best Dataset
We do not have a proprietary position on, nor contractual commitment to, any specific database. Our status as an independent non-profit research company allows us access to datasets that may not otherwise be available. We can also leverage our relationships with other organizations that have patient health care data to work collaboratively on your studies. Because of our unique industry position, you can be confident that the right data are identified and used for your study. Our experience includes, working with the following data sources:
Behavioral Risk Factor Surveillance System (BRFSS)
General Practice Research Database (GPRD) (UK)
Medstat Commercial Claims and Encounters (CCAE)
The Health Improvement Network (THIN) (UK)
Health Search Database (Italy)
Health Survey of England (HSE)
Healthcare Cost and Utilization Project (HCUP) databases
Medstat Health and Productivity Management (HPM)
Henry Ford Health System
i3 Innovus Lab Rx
Integrated Health Care Information Systems (IHCIS)
Medical Expenditure Panel Survey (MEPS)
Medicare and Medicaid claims data
National Comorbidity Survey (NCS)
National Health and Nutrition Examination Surveys (NHANES)
National Health Interview Survey (NHIS)
National Hospital Discharge Survey (NHDS)
National Medical Expenditure Survey (NMES)
National Nursing Home Survey (NNHS)
PharMetrics
Premier
Protocare Sciences
Saskatchewan Health (Canada)
Scandinavian cancer registries
Surveillance, Epidemiology and End Results (SEER) cancer registries
SEER-Medicare Linked Database
US Renal Data System
Veterans Affairs claims data
Methodologies
We determine the most appropriate analytical methods for your database studies, including case control and cohort analysis and pre- to post-index-date comparisons. We will access, process and store data files, extract requisite data depending on the study objective and prepare and implement detailed analysis plans. As appropriate, we also de-identify data, apply sampling statistics for robust inferences, and use other statistical techniques to control for selection bias and other confounders.
