© 2018 Source Health Economics

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Services

 
Health Economic modelling

Strategic consultancy

 

We'll gain an in-depth understanding of your corporate strategy, evidence-base and challenges. We'll apply our experience to provide guidance on product positioning, pricing, model methods, evidence generation and analysis, as well as model write up and publication strategy. We'll also provide experienced guidance for every decision and challenge that arises during the development and communication of your economic case.

Cost-effectiveness models

When developing core economic models, we combine our ethos for robust yet accessible models with an understanding of the requirements of local affiliates and decision-makers. Our core models are designed for the toughest of HTA hurdles with an awareness of the modelling requirements of different national decision makers. Whilst our models are designed to be intuitive to use and adapt, we also provide flexible adaptation support, from affiliate training to full multi-country adaptation.

 

Budget impact analysis

We design our budget impact models to facilitate simple adaptation to meet the needs of different national and local decision makers. This includes simple functionality to change default data and references, time horizon, cost offsets and the running and reporting of sensitivity analysis.

 

Publications

We manage all aspects of publication, providing advice on your publication strategy, abstract, poster and manuscript development, and poster presentations.

Review & validation

When using other vendors, we can provide expert external review and recommendations for cost-effectiveness models and their methods via:

  • Review and critique of proposed model methods

  • Review and critique of proposed data analysis

  • Technical model validation

  • Review and critique of technical reports

 
Evidence Generation

Structured reviews

Rapid reviews are a form of evidence synthesis that may provide more timely information for decision making compared with standard systematic reviews. We design our rapid reviews to be complete within 5 weeks, by searching fewer sources, utilising one reviewer per step, and providing a brief descriptive summary of the evidence. Our rapid review methodologies are transparent and reproducible.      

Targeted literature reviews provide a summary of the literature on a particular topic, using informal methods to identify and interpret studies. Our targeted literature reviews are developed to aid our clients’ understanding of particular topics and to identify the current state of the scientific evidence available – targeted literature reviews may precede a full systematic literature review. They are designed to answer general or specific questions and are conducted using only one electronic database and one reviewer.

Systematic literature reviews

Our systematic literature reviews follow international best practice guidelines including Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), the Cochrane Handbook for Systematic Reviews, and the Centre for Reviews and Dissemination (CRD). Our experienced team will define the research question, develop the study protocol and search strings, and analyse the identified evidence. We design user-friendly deliverables and provide insightful summaries to disseminate the findings of the review.       

All of our systematic literature review search strings developed for Health Technology Assessment (HTA) submissions are externally validated by the School of Health and Related Research (ScHARR) at the University of Sheffield, using the PRESS checklist.

Evidence synthesis

Evidence synthesis is now a standard component of health technology assessment and can be used to inform trial design and other commercial decisions, particularly when direct evidence from randomised controlled trials is not available. Before conducting any statistical analysis, we complete a meta-analysis feasibility assessment to determine if meta-analysis is appropriate. Source can perform a full range of frequentist and Bayesian analyses, including mixed treatment comparison (MTC), in addition to more sophisticated methods such as matching-adjusted indirect comparisons (MAIC) and simulated treatment comparisons (STC).

 
Data Analysis

Biostatistics for economic evaluation

We aim to transform your data into value for your products and place every piece of data in its context; we interpret as well as analyse. We provide rapid and robust analysis of patient-level data from clinical trial programs and other data sources to meet the needs of reimbursement agencies; be it for inputs into economic models, full in-trial economic evaluations or standalone analyses.

 

Database analysis

Database analysis can provide a wealth of real-world evidence to support pre- and post-launch activities. We provide analysis of the Clinical Research and Practice Datalink (CPRD), Medicare SEER, Hospital Episode Statistics datasets and can analyse your proprietary datasets on request.

 

Evidence synthesis

Evidence synthesis is now a standard component of health technology assessment and can be used to inform trial design and other commercial decisions, particularly when direct evidence from randomised clinical trials is not available. We perform a full range of frequentist and Bayesian analyses, including mixed treatment comparison (MTC), in addition to more sophisticated methods such as matching-adjusted indirect comparisons and simulated treatment comparisons.

 
Health Technology Assessment

Health Technology Assessment submissions

We have been developing health technology assessment (HTA) submissions since 1999 and are able to apply our experience to optimise your model structure, assumptions, data sources and analyses. We'll ensure your submission is written with clarity and a robust rationale is provided for every assumption, minimising uncertainty and maximising your chances of a positive HTA recommendation. Working with trusted external partners, we can also facilitate and manage systematic literature reviews.

Advisory boards

 

We facilitate and chair advisory board meetings to engage external clinical and health economic experts in the review and critique of economic models  and HTA submissions. We can also attend advisory board meetings to provide expert health economic input.

Review & validation

When using other vendors, we can provide expert external review and recommendations for HTA submissions via:

  • Review and critique of proposed model methods and data analysis

  • Technical model validation

  • Review and critique of the economic sections of HTA submissions

  • Review and critique of systematic literature review sections of HTA submissions

  • Review and critique of appropriateness of meta-analysis and meta-analysis methodology

 
Training

With over 15 years' training experience, we aim to demystify the theory and practice of health economics. Our bespoke training days provide clear and practical knowledge that will help non-economists to understand, develop and use health economic evidence.

Introduction to health economics

Our one-day introduction to health economics covers the essentials of health economic theory and practice for non-health economists in market access, marketing, medical information, R&D, and general management. The day combines presentations with practical exercises to engage attendees and consolidate their learning.

Introduction to decision analytic modelling

Our one or two-day courses cover the essentials of Microsoft Excel for modelling as well as methods for model development and sensitivity analysis. These courses aim to provide insight into the process and methods of model development, enabling attendees to better support the development, critique, and validation of health economic models.

Introduction to systematic literature reviews and meta-analyses

Our one-day course covers the fundamentals of performing systematic literature reviews and meta-analyses suitable for HTA submission. The course provides insight into country-specific HTA requirements, and helps attendees to better understand the systematic literature review process. The presentation will also cover the methodology used to complete meta-analysis feasibility assessments, the types of statistical analyses available, their methodology, and their use for decision making.   

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