Generating evidence

Academically-proven analytical methods to find and form clinical, economic and humanistic evidence
BECT/Landscaping literature review
A BECT literature review assembles information in multiple dimensions, which include:

  • Burden of illness
  • Epidemiology
  • Cost of illness
  • Treatment pathways and guidelines

This methodology provides an overview of the disease area covering the current approved treatments, patient quality of life and economic landscape. These data are essential in value message development.
PHMR builds cost-effectiveness and budget impact models to meet the specifications of HTA bodies. Our experienced health economists and modellers use commercial experience and scientific approaches to produce highly credible results.
Cost-effectiveness models
Increasingly, cost-effectiveness analysis is an integral part of the reimbursement process, with national and regional reimbursement bodies often setting formal requirements for model specifications in HTA submissions.
Budget impact modelling can help local and national health care decision-makers assess the financial impact of formulary and reimbursement decisions.
Clinical trial support
Evidence generation and subsequent synthesis of the data must be planned early in product development. This supports clinical trial design and data collection that feeds economic models and HTA submissions.

The PHMR team is experienced in the specific data requirements of HTA bodies and can support you both in generating data and the design of effective clinical trials.
Patient-reported outcomes (PRO) represent an increasingly important aspect of the submission process. PHMR has expertise in helping companies collect appropriate PRO data. We use a number of disease-specific PRO instruments, treatment compliance measures and patient preference questionnaires. In addition, we use generic health status measures such as the SF-36 and multi-attribute utility scales such as the EQ-5D. We also have in-depth experience in the collection of resource-use data in prospective trials.
International claims and outcomes database analysis
PHMR uses international claims and outcomes databases to help clients generate an evidence base supporting their products. Outcomes studies can reflect day-to-day clinical practice and patient populations. Our expert staff have worked with various databases to build credible and reliable models to support HTAs and communicate value.
Systematic reviews and meta-analyses
Systematic reviews and meta-analyses are essential tools for identifying and synthesising evidence. PHMR employs experienced systematic reviewers and medical librarians to ensure methodologies align with the specific guidelines provided by HTA agencies and the Cochrane Collaboration.

PHMR staff have relevant experience in conducting all stages of systematic reviews to a high level, from designing search strategies and developing protocols through to interpretation and communication of results via slide decks and written reports. We help you prepare manuscripts for peer-review submission in accordance with your publication compliance processes.
Observational studies and patient registries
Collecting health outcome data in comparative studies can be challenging e.g estimating the cost of an uncommon event or through adding requirements on data collection to an RCT. In these cases, observational studies and patient registries can generate supportive data to be used in combination with the RCT.