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Economic Evidence That Wins Over Europe’s Payers

Early and comprehensive health economic models that prove your MedTech’s cost‑effectiveness, budget impact, and ROI

From early value modelling to full-scale reimbursement dossiers, MTRC transforms complex MedTech economics into clear evidence that wins pricing and accelerates market access across Europe.

Know your numbers before you cut metal.  The moment new medical technology leaves the drawing board, its economic story should already be clear. Early value modelling pinpoints the cost drivers that matter and shows how design tweaks or alternative usescenarios can sharpen your value proposition. It also guides your clinical program, ensuring you collect the endpoints (length of stay, complication rates, readmissions) that payers and hospital CFOs care about most, while signaling where your pricing sweetspot lies long before you sit down with procurement.

Turn evidence into access when the stakes are highest.  As you approach launch, those early models evolve into full costeffectiveness and budgetimpact dossiers, the very currency of reimbursement in Europe. Reimbursement and HTA pathways in Belgium, England, the Netherlands, Norway, and Switzerland often demand rigorous health economic analyses as a condition for reimbursement. Meanwhile, solid health economic data arms you for price negotiations and funding decisions with hospital and payer stakeholders. With a seamless line of sight from concept to commercialization, you have the proof points to justify premium pricing, secure favorable reimbursement and HTA outcomes, and win market share faster.

Health economic analysis of a medical device isn’t simple: costing index procedure across many EU countries, handling costs of capital equipment, device replacement and learning curve, incorporating sequential diagnostics are methodologically challenging. MTRC, Europe’s market access specialist, converts that tangle into payer‑ready economic models and publications that clear reimbursement hurdles fast.

Choose Your Perfect Health Economic Model 

Three types of models packs: Start-up, Basic, and Comprehensive, so you always have the right health economic ammunition for every stage of your MedTech journey.

 

FeatureStart-upBasic Comprehensive 
Clinical evidence usedNone, assumptionsLimitedLimited to good quality data
MethodSimplistic form of decision tree, Markov processDecision tree, Markov processDecision tree, Markov process
MethodCost, cost-utility analysisCost-consequence, cost-utility analysisCost-consequence, cost-utility, budget impact analysis
Deterministic sensitivity analysisNoYesYes
Probabilistic sensitivity analysisNoNoYes
CHEERS Statement-compliant reportingNoNoYes
Ability to present as ISPOR posterNoYesYes
Ability to publish in peer-reviewed journalNoNoYes
Number of feedback opportunities from client012
Timelines, weeks45 - 612 - 16
Use caseMarketing, sales, procurement, investors, clinical stakeholder engagementMarketing, sales, procurement, investors, clinical stakeholder engagementMarketing, sales, procurement, investors, clinical stakeholder engagement, reimbursement, HTA
CommunicationKick-off, delivery meetingKick-off, delivery meetingKick-off, delivery meeting, bi-weekly updates by email or TC

How does it Work?

The key steps in the health economic project are outlined below. During each stage of the project, we validate our approach and data selection with you.

Scoping

Understanding the scope of work: the purpose (understand the value proposition, publication, use in reimbursement submissions), target audience, a country in scope, the perspective of the analysis (hospital vs health care system), type of analysis (cost-effectiveness vs cost vs budget impact)

Conceptualizing the model

Developing the conceptual overview of the model: type of the model (Markov model vs decision tree), health states and conditions, principles of progression of patient or disease

Data collection

Collection of the data to inform the model: clinical data (transition probabilities, effectiveness, safety), resource use and cost data, quality of life (utility) data

Development of the model

Building the model in MS Excel, quality checks and external validation to determine the performance of the model

Writing the report

Development of the report or publication using ISPOR Good Practice Guidelines

Get in Touch

Contact us to discuss your needs and learn about our services