| Literature DB >> 28502810 |
Paco M Welsing1, Katrien Oude Rengerink2, Sue Collier3, Laurent Eckert4, Maarten van Smeden2, Antonio Ciaglia5, Gaelle Nachbaur6, Sven Trelle7, Aliki J Taylor8, Matthias Egger9, Iris Goetz10.
Abstract
Results from pragmatic trials should reflect the comparative treatment effects encountered in patients in real-life clinical practice to guide treatment decisions. Therefore, pragmatic trials should focus on outcomes that are relevant to patients, clinical practice, and treatment choices. This sixth article in the series (see Box) discusses different types of outcomes and their suitability for pragmatic trials, design choices for measuring these outcomes, and their implications and challenges. Measuring outcomes in pragmatic trials should not interfere with real-world clinical practice to ensure generalizability of trial results, and routinely collected outcomes should be prioritized. Typical outcomes include mortality, morbidity, functional status, well-being, and resource use. Surrogate endpoints are typically avoided as primary outcome. It is important to measure outcomes over a relevant time horizon and obtain valid and precise results. As pragmatic trials are often open label, a less subjective outcome can reduce bias. Methods that decrease bias or enhance precision of the results, such as standardization and blinding of outcome assessment, should be considered when a high risk of bias or high variability is expected. The selection of outcomes in pragmatic trials should be relevant for decision making and feasible in terms of executing the trial in the context of interest. Therefore, this should be discussed with all stakeholders as early as feasible to ensure the relevance of study results for decision making in clinical practice and the ability to perform the study.Entities:
Keywords: Generalizability; Outcome measurement; Pragmatic trial; Real-world evidence
Mesh:
Year: 2017 PMID: 28502810 DOI: 10.1016/j.jclinepi.2016.12.022
Source DB: PubMed Journal: J Clin Epidemiol ISSN: 0895-4356 Impact factor: 6.437