Real World Data
While clinical interest invariably focuses on understanding the natural history of disease, payers and providers are required to realise any potential efficiencies of demand management; for example, improving patient throughput in a hospital. Importantly, the same data can provide insight to multiple perspectives. Delivering database analyses that characterise disease progression and healthcare burden, while demonstrating the potential for optimising healthcare delivery, is both efficient and informative.
Influencing Healthcare Decisions
Payers: to minimise cost and maximise health gain
Providers: to increase efficiency and generate income
Clinicians: to maximise quality and quantity of life
Patients: timely access to appropriate healthcare
Routine Health Data
HEOR Ltd has both the methodological and technical expertise to maximise upon the wealth of information available within primary and secondary healthcare databases.
HEOR Ltd has undertaken numerous database analyses to inform Health Economic Modelling, including cost-effectiveness, disease transmission and progression, and health and economic disease burden modelling.
Primary Data Collection
To answer your research question, HEOR Ltd can design and implement bespoke surveys, in addition to analysing and reporting their findings. Surveys conducted previously include the quality of life and economic burden of pain, the health outcomes of renal transplantation, and patient satisfaction, costs and outcomes in people with diabetes. HEOR Ltd were co-founders of the Health Outcomes Data Repository (HODaR), which, over the course of the project, elicited data on quality of life, health utility, treatment satisfaction and direct/indirect costs for over 100,000 patients; disease areas covered included diabetes, renal, respiratory, cardiovascular, pain, urology, gastroenterology and orthopaedics.
We design and analyse large scale (including multi-country) patient chart reviews and audits, enabling the compilation of comparative effectiveness data, vital in informing payers and clinicians about the appropriate use of interventions, for example as part of a health technology assessment (HTA).
Statistical Data Analysis
Our team comprises mathematicians, operational researchers, economists and computer scientists, offering standard and advanced solutions to the statistical analysis of data and evidence synthesis (e.g. indirect and mixed treatment comparisons, Bayesian and Frequentist syntheses).
HEOR Ltd undertake analyses using R, Stata and Winbugs, and visualise data using R and D3.
See our publications and presentations here.