Real-World Evidence in Clinical Epidemiology and Public Health
A special issue of International Journal of Environmental Research and Public Health (ISSN 1660-4601). This special issue belongs to the section "Public Health Statistics and Risk Assessment".
Deadline for manuscript submissions: closed (30 September 2022) | Viewed by 42494
Special Issue Editors
Interests: pharmacoepidemiology; biostatistics; medical statistics
2. Laboratory of Healthcare Research & Pharmacoepidemiology, Unit of Biostatistics, Epidemiology and Public Health, Department of Statistics and Quantitative Methods, University of Milano-Bicocca, 20126 Milan, Italy
Interests: population-based birth cohort study; pharmacoepidemiology and drug safety in pregnancy and breastfeeding; pharmacoepidemiology; healthcare research; real-world data
Special Issues, Collections and Topics in MDPI journals
2. Laboratory of Healthcare Research & Pharmacoepidemiology, Unit of Biostatistics, Epidemiology and Public Health, Department of Statistics and Quantitative Methods, University of Milano-Bicocca, 20126 Milan, Italy
Interests: healthcare research; cost-effectiveness analysis; epidemiology; meta-analysis; multilevel modelling; pharmacoepidemiology; prognostic score; healthcare utilization database; case-identification algorithms; diagnostic-therapeutic paths
Special Issue Information
Dear Colleagues,
Although randomized clinical trials (RCTs) generate the highest level of evidence on the efficacy of a given treatment, they are insufficient for several reasons: (i) frail individuals, such as children, pregnant women, elderly people and those with comorbidities or co-treatments, are usually excluded from RCTs for both ethical and methodological reasons; (ii) the treatment efficacy is affected by a low rate of adherence and therapeutic inertia in clinical practice with the consequence that guidelines based on RCTs are often disregarded in real life; and (iii) RCTs are not suitable for assessing the efficacy of an integrated healthcare pathway.
Therefore, there is growing interest in observational studies based on real-world data (RWD), i.e., the data relating to patient health status in a non-experimental setting routinely collected from a variety of sources, that could complement the results of RCTs. RWD and real-world evidence (RWE) are playing an increasing role in healthcare decisions, and they are used to monitor post-marketing long-term cost-effectiveness and safety, and to develop guidelines and decision support tools for the use of treatments in clinical practice. According to the Food and Drug Administration, RWE is “the clinical evidence regarding the usage and potential benefits or risks of a medical product derived from analysis of real-world data”. Thus, RWE should generate functional knowledge for the decision-making process, continuously improve the quality of care, and be used to assess the cost-effectiveness profiles of treatments observed in clinical practice.
This Special Issue is dedicated to studies that aim to generate RWE for the decision-making process.
Dr. Matteo Franchi
Dr. Anna Cantarutti
Dr. Federico Rea
Guest Editors
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Keywords
- real-world evidence
- clinical epidemiology
- public health
- healthcare research
- pharmacoepidemiology
- frailty
- chronic diseases
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