TY - JOUR
T1 - Series: Pragmatic trials and real world evidence
T2 - Paper 6. Outcome measures in the real world
AU - Welsing, Paco
AU - Oude Rengerink, Katrien
AU - Collier, Sue
AU - Eckert, Laurent
AU - van Smeden, Maarten
AU - Ciaglia, Antonio
AU - Nachbaur, Gaelle
AU - Trelle, Sven
AU - Taylor, Aliki
AU - Egger, Matthias
AU - Goetz, Iris
N1 - Publisher Copyright:
© 2017 The Authors
PY - 2017/10
Y1 - 2017/10
N2 - 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.
AB - 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.
KW - Generalizability
KW - Outcome measurement
KW - Pragmatic trial
KW - Real-world evidence
U2 - 10.1016/j.jclinepi.2016.12.022
DO - 10.1016/j.jclinepi.2016.12.022
M3 - Article
C2 - 28502810
SN - 0895-4356
VL - 90
SP - 99
EP - 107
JO - Journal of Clinical Epidemiology
JF - Journal of Clinical Epidemiology
ER -