Source Health Economics


Source Health Economics is a specialist consultancy founded in 2016, based in London and Oxford, dedicated to evidence generation, health economics, and communication. They develop and synthesize evidence to support market access for healthcare interventions, providing services such as economic modeling, evidence generation, health technology assessment support, and training. Their mission is to optimize market access for new healthcare interventions, aiming for the best outcomes for patients and clients through technical excellence and collaborative approaches.

Industries

health-care
medical
pharmaceutical

Nr. of Employees

small (1-50)

Source Health Economics


Services

Consultancy to design, build and review economic and decision-analytic models and perform data analysis to populate those models.

Systematic literature reviews, meta-analyses and targeted evidence searches to support clinical and economic submissions.

Medical writing and preparation of value communication materials including manuscripts, abstracts and HTA sections.

Strategic advice and dossier development for submissions to UK and international HTA agencies, including navigation of appraisal processes.

Tailored training courses in health economics, economic modelling and systematic literature review for client teams and stakeholders.

Expertise Areas

  • Health economics and outcomes research (HEOR)
  • Economic modelling and cost-effectiveness analysis
  • Evidence synthesis and systematic review
  • Statistical analysis and biostatistics
  • Show More (5)

Key Technologies

  • Cost-effectiveness modelling
  • Budget impact modelling
  • Network meta-analysis (NMA)
  • Indirect treatment comparisons (ITCs)
  • Show More (6)

News & Updates

Flexible Model Build

Development of a core cost-effectiveness model for Duchenne Muscular Dystrophy (DMD) supporting HTA submissions, with flexibility to accommodate different interventions and perspectives.

Statistical services

Analysis using individual patient-level data to generate health state distributions, adverse event rates, and utility values, aiding transparent communication of product value.

Absence of long-term data

Eliciting clinical opinion to inform extrapolations in HTA models when long-term data is lacking, such as in gene therapies.

Absence of trial data for a non-drug intervention

Performing targeted literature review and cost-effectiveness analysis to support use of non-drug interventions in oncology.

Meeting HTA deadlines under short timelines

Proactive project management and use of placeholder data to ensure timely HTA submission, resulting in positive outcomes.


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