Systematic Review of Evidence

We provide structured and targeted literature reviews (e.g. burden of illness, unmet needs assessments, health technology assessment (HTA)). Also, we can provide systematic reviews and interpretation of clinical and economic evidence to answer all kind of research questions. In order to quantify the value of new health care technologies, we perform network meta-analyses and indirect treatment comparisons.

What is included

Systematic reviews and interpretation of clinical and economic evidence

Our team conducts searches in scientific databases such as Medline and Embase to identify and collect the most relevant data. Such data will be used to answer various research questions related to the efficacy, effectiveness, and safety of products and services. Our literature review services enable our clients to build a strong case for their HTA submission and build efficient communication strategies based on scientific evidence.

Structured and targeted literature reviews: to evaluate the health consumers’ needs.

For a pharmaceutical product, medical device, or therapeutic procedure to achieve reimbursement and widespread adoption, it should answer unmet needs in the healthcare market. With over 15 years of experience in health economics, evidence synthesis, and as healthcare professionals, our team supports our clients in conducting structured and targeted literature reviews to identify the needs of the market and assess the solutions that they can offer to health consumers. Our literature reviews also allow us to assess whether a new pharmaceutical product, medical device or therapeutic procedure will meet those needs. Such literature reviews focus on the following indicators, among others:
• Burden of illness assessment: Assessing the rate of morbidity, costs and worldwide mortality rate associated with particular conditions and diseases allows us to better understand their global impact. Our team assesses the burden of illness for the condition or disease that your health technology has been developed to address, thus demonstrating its necessity and added value to the global healthcare market.
• Unmet needs assessment: What are the unmet needs that your technology helps to address? By performing an unmet needs assessment, our experts provide you with justified arguments as to why your health product, device or service has a positive economic, health and social impact for your target market.
We also conduct targeted reviews of previous HTA submissions and clinical guidelines. Reviews of previous submissions help our clients better understand the benefits of their own technology compared to existing products. Additionally, a review of clinical guidelines allows our clients to assess how their technology fits in with, or may impact, existing guidelines. Such reviews not only enable our clients to better assess competition, but also to better place their products and services for optimal market access.

Network meta-analyses and indirect treatment comparisons

A meta-analysis is a statistical analysis that combines the results of multiple scientific studies. Meta-analysis can be performed when there are multiple studies addressing the same question, with each individual study reporting measurements that are expected to have some degree of error.
Network meta-analysis is a quantitative method that allows for the comparison of at least three interventions in a single analysis, using both direct and indirect evidence. Network meta-analyses and indirect treatment comparisons are typically conducted to estimate the comparative efficacy and/or safety of several interventions with one another when direct comparisons do not currently exist.
We perform the different data analysis methods above so our team can efficiently and accurately quantify the added value that our clients’ new pharmaceutical product, medical device or therapeutic procedure will have for patients across major global healthcare markets. Additionally, our team of analysts conduct the analyses in a manner that considers intra-country and regional differences to provide accurate and relevant results.

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