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PresentationWhat does replicable ‘real world’ evidence from ‘real world’ data look like?
Shirley Wang, Harvard Medical SchoolAbstract
Regulatory and Health Technology Assessment (HTA) organizations are increasingly looking toward use of ‘real world’ evidence (RWE) from ‘real world’ data such as administrative claims and electronic health record databases to support decision-making. Ideally, decision-makers want to focus on RWE that uses valid methodology, has transparent reporting, and generates reproducible evidence. However, published database studies frequently do not report on key implementation parameters, making it difficult to detect flaws in design or analysis. To increase confidence in use of RWE, decision-makers need the means to effectively and efficiently distinguish between studies of high versus low validity.
The REPEAT Initiative has projects focused on improving transparency, reproducibility and validity of database research. These projects include large scale replication of 150 published database studies, evaluation of robustness of results to alternative study parameters, and development of a structured reporting template with design visualization to increase transparency of reporting and minimize misinterpretation.
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Regulatory and Health Technology Assessment (HTA) organizations are increasingly looking toward use of ‘real world’ evidence (RWE) from ‘real world’ data such as administrative claims and electronic health record databases to support decision-making. Ideally, decision-makers want to focus on RWE that uses valid methodology, has transparent reporting, and generates reproducible evidence. However, published database studies frequently do not report on key implementation parameters, making it difficult to detect flaws in design or analysis. To increase confidence in use of RWE, decision-makers need the means to effectively and efficiently distinguish between studies of high versus low validity.
The REPEAT Initiative has projects focused on improving transparency, reproducibility and validity of database research. These projects include large scale replication of 150 published database studies, evaluation of robustness of results to alternative study parameters, and development of a structured reporting template with design visualization to increase transparency of reporting and minimize misinterpretation.
The information in this e-mail is intended only for the person to whom it is addressed. If you believe this e-mail was sent to you in error and the e-mail contains patient information, please contact the Partners Compliance HelpLine at http://www.partners.org/complianceline . If the e-mail was sent to you in error but does not contain patient information, please contact the sender and properly dispose of the e-mail.