Real-world Evidence
Solutions (RWE)

WE ARE YOUR PARTNER FOR
REAL-WORLD EVIDENCE INSIGHTS

Real-world Evidence
Solutions (RWE)

WE ARE YOUR PARTNER FOR
REAL-WORLD EVIDENCE INSIGHTS

Our Real-world Evidence Services

Our team has delivered 30+ projects, turning real-world evidence into precise insights for academic research, drug development, and digital health innovation.

Get a complete picture of prescription patterns, patient subgroups, and treatment paths to see where your product fits and how it can make a difference.

Understand disease patterns, prevalences, and risk factors. We will provide epidemiological insights to inform public health strategies or optimize your product’s positioning.

Strengthen your clinical trial results by comparing real-world outcomes to your clinical trial data. Our results will extend and validate your findings, strengthening regulatory submissions.

See the full impact of a disease beyond clinical outcomes. We examine comorbidities, socioeconomic factors, and quality of life to help you address unmet needs.

Make data-driven comparisons of treatment options. From RCT to claims data, our analyses reveal which therapies yield the best outcomes, so you can maximize effectiveness.

Evaluate treatment durability over time. With studies spanning one to ten years, we help you understand the long-term impact of your therapies.

Know the perceived consequences of treatment switches, from quality of life to fatigue, mood, and satisfaction. Our insights support optimized and patient-centered care.

Understand why patients stay on or leave treatments. Our models reveal predictive factors for adherence, guiding you to improve engagement.

Track real-world safety and efficacy. Our regular reporting helps you maintain product confidence, addressing patient feedback and ongoing safety.

Migraine Germany Depression Multiple
Sclerosis
Epilepsy Irritable
Bowel
Disease
Lupus Parkinson’s
Disease
Psoriasis Alzheimer Schizophrenia Myasthenia
Gravis
Switzerland UK Denmark Stroke Disease Areas and Countries

Germany Depression Migraine Epilepsy Irritable
Bowel
Disease
Lupus Parkinson’s
Disease
Multiple
Sclerosis
Schizophrenia Myasthenia
Gravis
Psoriasis Alzheimer Switzerland Denmark UK Stroke Disease Areas and Countries

Germany Depression Migraine Epilepsy Irritable
Bowel
Disease
Lupus Parkinson’s
Disease
Multiple
Sclerosis
Schizophrenia Myasthenia
Gravis
Psoriasis Alzheimer Switzerland Denmark UK Stroke Disease Areas and Countries

Germany Depression Migraine Epilepsy Irritable
Bowel
Disease
Lupus Parkinson’s
Disease
Multiple
Sclerosis
Schizophrenia Myasthenia
Gravis
Psoriasis Alzheimer Switzerland Denmark Sweden UK Stroke Disease Areas and Countries

Germany Depression Migraine Epilepsy Irritable
Bowel
Disease
Lupus Parkinson’s
Disease
Multiple
Sclerosis
Schizophrenia Myasthenia
Gravis
Psoriasis Alzheimer Switzerland Denmark UK Stroke Disease Areas and Countries

Germany Depression Migraine Epilepsy Irritable
Bowel
Disease
Lupus Parkinson’s
Disease
Multiple
Sclerosis
Schizophrenia Myasthenia
Gravis
Psoriasis Alzheimer Switzerland Denmark UK Stroke Disease Areas and Countries

Disease Areas
and Countries

Alzheimer
German RWD
Swiss RWD

Depression (MDD)
German RWD

Epilepsy
German RWD

Irritable Bowel Disease (IBD)
German RWD
Swiss RWD

Lupus (SLE)
German RWD
Swiss RWD

Migraine
German RWD, outpatient
German RWD, clinic-based
Swiss RWD

Multiple Sclerosis (MS)
German RWD
Swiss RWD, medical claims
United Kingdom RWD
Danish RWD

Myasthenia Gravis (MG)
German RWD

Parkinson’s Disease (PD)
German RWD
Swiss RWD

Parkinson’s Disease (PD)
German RWD
Swiss RWD

Psoriasis (PsO)
German RWD

Schizophrenia (SZ)
German RWD

Stroke
Swiss RWD

Case Study: External Control Arms for RCTs with RWD

Real-World Evidence to Enhance Clinical Trial Evidence

The Challenge of Comprehensive Treatment Effects. While randomized controlled trials (RCTs) are the gold standard for evaluating treatments, the health authorities increasingly require data that generalizes and captures real-world effectiveness. Particularly, later-phase trials may suffer from a limited number of comparators, sample sizes, and short follow-up periods. To overcome these issues, external control arms offer a robust and reliable treatment effect evaluation, surpassing the limitations of traditional RCTs and without the untestable assumptions of network meta-analyses.

The Approach to Broaden Treatment Effects. To empirically address critiques about RCTs, we use real-world data (RWE) to generate quantitative effects of the treatments across multiple comparators, in larger samples in actual clinical practice. How? Keeping the RCT as the gold standard we carefully select a suitable control group for the RCT from a large real-world database, aligning the RW population to the RCT population, thoroughly validating the approach, and deploying advanced methods like propensity matching, weighting, and target-trial emulation. Through this, we can provide additional comparator arms for RCTs from RWD while minimizing selection bias and controlling.

Results. This approach (published in Muros et al, 2020) resulted in a propensity-matched analysis to evaluate the efficacy of Ocrelizumab against five other comparators that were not part of the original RCT in treating relapsing multiple sclerosis. By carefully matching treated patients with untreated controls based on a multitude of factors, we were able to provide a broader impact of the drug, going beyond the treatment effects that were known from clinical trials only.

Benefits
of the Rewoso
approach

Greater
Relevance

Show the effects of treatments across diverse patients and settings by using real-world data.

Accelerated Development

Accelerate drug development timelines by leveraging existing, propensity-matched real-world cohorts.

Factual Decision-Making

Get data-driven information for important decisions and the optimization of treatment strategies.

Cost-Effective Research

Real-world studies often cost less than traditional trials by reusing existing data sources.

Beyond Network Meta-Analyses

External control arms yield individual-level comparisons, with fewer assumptions than meta-analyses.

Benefits of the Rewoso approach

Greater Relevance

Show the effects of treatments across diverse patients and settings by using real-world data.

Accelerated Development

Accelerate drug development timelines by leveraging existing, propensity-matched real-world cohorts.

Factual Decision-Making

Get data-driven information for important decisions and the optimization of treatment strategies.

Cost-Effective Research

Real-world studies often cost less than traditional trials by reusing existing data sources.

Beyond Network Meta-Analyses

External control arms yield individual-level comparisons, with fewer assumptions than meta-analyses.

Ready for new Health Science? The future with Rewoso starts here.