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Home > All articles > Insights from ISPOR Europe: Patients to Be Included in RWE Studies
Insights from ISPOR Europe: Patients to Be Included in RWE Studies
Patient-centricity was one of the key themes at ISPOR Europe in Barcelona this November. Participants also discussed topics such as the use of Real-World Evidence (RWE) in Health Technology Assessment (HTA) and the significance of artificial intelligence. In this article, Medaffcon’s ISPOR attendees share the most important themes from this year’s event.
According to Scientific Advisor, PhD Riikka Mattila, now might be a good time in Finland to consider how patients can be better involved in RWE studies. She believes that patient involvement has been sidelined in Finland due to the registry-based nature of Finnish RWE.
“Involving patients could make RWE even more impactful by ensuring that research results better meet the needs and experiences of patients,” says Mattila.
The Use of Real-World Evidence (RWE) Has Increased in Health Technology Assessment (HTA)
Riikka Mattila notes that the use of RWE has significantly increased in HTA, leading to the development of new RWE methods and the improvement of existing ones. New trending methods include Digital Twins and Target Trial Emulation (TTE). They both are familiar subjects to Medaffcon.
Artificial intelligence is increasingly used in healthcare research and decision-making. New technologies are employed to create predictive models and analyze patient data, which enhances the quality and efficiency of care.
“There has traditionally been a strong emphasis on evidence-based healthcare in the Nordic countries. As a result, there is increasing demand for Nordic RWE. Using RWE leads to more precise decision-making in the adoption of new treatments,” states Riikka Mattila.
How Will the Use of External Control Groups Change in Health Techonology Assesment (HTA) in the Coming Years?
Senior Data Scientist Johanna Vikkula says that ISPOR showed an increase in the use of RWE and External Control Arms (ECA), especially in HTA processes.
“I see the use of external control arms – that is, ECA methods – and RWE in general increasing in the coming years. However, it is essential to communicate openly about the methods used and include sensitivity analyses to strengthen the reliability and credibility of the results,” says Vikkula.
According to Johanna Vikkula, regulatory authorities seem to approach external control arms (ECA) cautiously, even though it has been demonstrated that carefully designed Target Trial Emulation (TTE) models, together with real-world data (RWD), can closely mimic the results of clinical trials.
“It is understandable that authorities are initially cautious about new methods. Therefore, it is our responsibility – as Medaffcon and pharmaceutical companies – to explain these methods well until they become a new standard way of operating,” Vikkula says.
Jarmo joined Medaffcon as a partner and CEO in 2010, having previously worked in various expert and management positions in pharma companies for eight years. Jarmo has a degree in economics and before entering the pharmaceutical industry, he held an office at the Turku School of Economics and also worked as a research fellow at Turku University Hospital.
Jarmo has strong expertise in new health technology innovations and how the demands and expectations of authorities, markets and customers are matched. He also brings to Medaffcon extensive experience in health economics and its applications in research and commercialization, as well as a broad understanding of the ever-changing operating environment.
“From an access point of view, the Finnish health technology market is constantly becoming more demanding and therefore also more attractive from my point of view. On the other hand, increasing demands to demonstrate the effectiveness and cost-effectiveness of healthcare are broadening the scope and opportunities for Medaffcon to be involved in the development of healthcare as a whole”.
Lisse-Lotte started at Medaffcon 1st of October 2024. Previously she was at a Swedish-German company as CSO Chief Scientific Officer, consulting European companies about Nordic health data opportunities and market access. She has a M.Sc (Econ.) from Helsingin School of Economics and a M.Sc (Health Econ) from Karolinska. Additionally a Ph.D student at the University of Turku in Health Economics. She has obtained a long experience from global pharma and medtech. She has lived over 20 years in Sweden.
The current development gives new possibilities to utilise data. With AI we can produce synthetic data and build digital twins that can actually support drug development and support healthcare providers. Innovative solutions are only useful if they are adopted to daily practice.
Old ways of working will vanish and RWD will be acknowledged as an excellent option or support for RCTs. As RWD is enabling more cost-effective evidence generation for new treatments. Treatments need to be more personalised so that the right drugs, diagnostics and devices are used for the right patients at the right time.
Riikka joined Medaffcon in February 2021. She has a wide-ranging experience from different therapy areas from atherosclerosis and birth asphyxia to neurodegeneration. She has more than 15 years of experience in research, three of which in Max Planck Institute in Germany. Her PhD thesis from 2011 focused on cholesterol metabolism.
Riikka’s strenghts include broad know-how and interest in diverse therapy areas, as well as enthusiasm and experience in both written and verbal scientific communication. At Medaffcon she enjoys varied projects and effectiveness of research.
Real world evidence fascinates Riikka because there is so much data, and more accumulating all the time, and most of this data is unused. There is potential for findings to support clinicians and the pharmaceutical industry, as well as alleviate the lives of patients. She is also happy that decisions in health care are increasingly evidence based.
Johanna joined Medaffcon on February 2020 just after finishing her masters’ degree at Aalto University with major in bioinformatics and digital health. Previously, Johanna has been working as a research assistant both in brain imagining and in computational systems biology while reinforcing her knowledge in signal processing, analyses of genetic data, artificial neural networks, and development of new methods and tools to analyse genetic data. Johanna possesses strong knowledge in analysing genetic data thanks to broad know-how in life sciences but also in data and computational sciences. Johanna is a solution-oriented team worker, who does not fear to set goals high.
Johanna is interested in enhancing healthcare through bioinformatics and data sciences by combining both the medical and the computational know-how to cure diseases, improve healthcare and take step towards more personalised healthcare.
“I eagerly wait how the genome sequencing and gene testing revolutionise the medical field and boost more personalised treatments. Also, I believe that one day, we will have artificial intelligence as a standard tool for aiding doctors to diagnose and treat patients.”