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Development of a core data set for describing, measuring and reporting the learning curve in studies of novel
Jozel Ramirez1,2, Christin Hoffmann3, Neil Corrigan4
1National Institute for Health and Care Research Bristol Biomedical Research Centre, Bristol Centre for Surgical Research, Bristol Medical School, Population Health Sciences, University of Bristol, Bristol, UK jozel.ramirez@bristol.ac.uk.
Introduction:
The introduction of novel surgical techniques and procedures remains poorly regulated and standardised. Although the learning curve associated with invasive procedures is a critical part of innovation, it is currently inconsistently defined, measured and reported. This study aims to develop a core data set that can be applied in all studies describing or measuring the learning curve in novel invasive procedures.
Methods:
A core data set will be developed using methods adapted from the Core Outcome Measures in Effectiveness Trials initiative. The study will involve three phases: (1) Identification of a comprehensive list of data items through (a) an umbrella review of existing systematic reviews on the learning curve in surgery and (b) qualitative interviews with key stakeholders. (2) Key stakeholders (eg, clinical innovators, clinicians, patients, methodologists, statisticians, journal editors and governance representatives) will complete a Delphi survey to score the importance of each data item, generating a shortened list. (3) Consensus meeting(s) with stakeholders to discuss and agree on the final core data set.
Ethics And Dissemination:
The study is approved by an Institutional Ethics Committee at the University of Bristol (ref: 111362). Participants will complete written informed consent to participate. Dissemination strategies include scientific meeting presentations, peer-reviewed journal publications, patient engagement events, use of social media platforms, workshops and other events.
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