Overview of Services

Real-world evidence

Retrospective studies

Prospective observational studies

Epidemiology and biostatistics

Health economics and outcomes research

Cost-effectiveness models

Budget impact models

Burden of disease models

Literature reviews

Indirect comparisons and meta-analysis

Health policy and health systems analysis

Disease awareness overviews

Mapping of funding and provision of healthcare

Reimbursement applications

Communication and Strategy

Scientific communication

HEOR value strategy advice

Expert panels and advisory boards

Market Access strategies and tools

Launch optimisation

Web-based interactive value communication apps

Real-world evidence +

Retrospective studies

Prospective observational studies

Epidemiology and biostatistics

Health economics and outcomes research +

Cost-effectiveness models

Budget impact models

Burden of disease models

Literature reviews

Indirect comparisons and meta-analysis

Health policy and health systems analysis +

Disease awareness overviews

Mapping of funding and provision of healthcare

Reimbursement applications

Communication and Strategy +

Scientific communication

HEOR value strategy advice

Expert panels and advisory boards

Market Access strategies and tools

Launch optimisation

Web-based interactive value communication apps

We understand healthcare

Our way of work

Identify

identify

What is important, and why: Quantify strives to be a partner which helps clients reach their over-arching goals. During setup of a project, investment is made to understand
a) what is important for the client;
b) what is the background and rationale for the project at hand;
c) who are the relevant stakeholders and what their needs are;
d) are there alternative ways of meeting the objective;
and e) what is the most optimal activity to conduct, and how?

By identifying the framework, and defining a common foundation, we are convinced that we optimize the chance for a successful project.

Throughout a standard project, Quantify’s work to Identify includes mapping out the fundamentals, understanding the stakeholder value perception, defining the evidence gaps and identifying how to translate outcome into value.

The value of any drug, device, procedure or reform in health care is dependent on the medical need intended to be met; the availability of alternatives; the data supporting effectiveness claims; and the perspectives of stakeholders themselves. Our initial questions when starting to analyze the value of an intervention include: Which are the main value drivers and for whom are they relevant? Are the values unique for this health care intervention? Can the values be quantified? Are there data available to quantify the values?
When demonstrating the value of a health care intervention, it is essential to consider multiple stakeholders, such as patients, prescribers and payers. Analysis of different stakeholders’ value perceptions can be carried out e.g. by analyzing historical decisions, performing interviews, conducting preference studies, panels or advisory boards.

An important part of evidence generation is identifying critical data gaps and designing a thorough plan for how to best address them. This process generally includes a literature review aiming to map out which data is already available in the published literature, as well as a review of internal data. It may also involve a review of data requirements for health economic modelling and unmet need. In addition to bridging the identified data gaps, evidence generation plans should be cost-effective, consider time constraints and be aligned with both the overall product strategy and the needs of the stakeholders.

When assessing the value of a health care intervention, study endpoints or surrogate markers must often be transformed into measures of concrete value to stakeholders. For example, how do payers view reduced rates of adverse events with a novel treatment; or increasing sleeping time by 20 minutes for patients with insomnia? There are several different methods to translate the benefits into tangible measures; such as Quality Adjusted Life Years or a monetary value based on patient willingness to pay. Depending on identified stakeholder values and data gaps, the optimal data generation activity can be identified.

Quantify aims to be a partner from the beginning of the evidence generation process:

  • Assist in formulating and formalizing research problems and their solutions;
  • Analyze different stakeholders’ perceptions of the value of an intervention or reform;
  • Organize expert panels and advisory boards to develop and test value messages;
  • Identify the data gaps that need to be addressed to substantiate the value messages;
  • Provide strategic advice for the evidence generation plan and its components;
  • Identify ways to capture the value of clinical improvements from interventions;
  • Identify the appropriate data source for conducting a study based on real-world retrospective data;
  • Design the optimal combination of cost-effective studies needed to fill the gaps.