4.7 Article

EULAR points to consider when analysing and reporting comparative effectiveness research using observational data in rheumatology

Journal

ANNALS OF THE RHEUMATIC DISEASES
Volume 81, Issue 6, Pages 780-785

Publisher

BMJ PUBLISHING GROUP
DOI: 10.1136/annrheumdis-2021-221307

Keywords

epidemiology; patient reported outcome measures; outcome assessment; health care

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The European Alliance of Associations for Rheumatology (EULAR) has developed a set of points to consider (PtC) for analyzing and reporting comparative effectiveness research using observational data in rheumatology, aiming to reduce biases and improve the trustworthiness of the research results.
Background Comparing treatment effectiveness over time in observational settings is hampered by several major threats, among them confounding and attrition bias. Objectives To develop European Alliance of Associations for Rheumatology (EULAR) points to consider (PtC) when analysing and reporting comparative effectiveness research using observational data in rheumatology. Methods The PtC were developed using a three-step process according to the EULAR Standard Operating Procedures. Based on a systematic review of methods currently used in comparative effectiveness studies, the PtC were formulated through two in-person meetings of a multidisciplinary task force and a two-round online Delphi, using expert opinion and a simulation study. Finally, feedback from a larger audience was used to refine the PtC. Mean levels of agreement among the task force were calculated. Results Three overarching principles and 10 PtC were formulated, addressing, in particular, potential biases relating to attrition or confounding by indication. Building on Strengthening the Reporting of Observational Studies in Epidemiology guidelines, these PtC insist on the definition of the baseline for analysis and treatment effectiveness. They also focus on the reasons for stopping treatment as an important consideration when assessing effectiveness. Finally, the PtC recommend providing key information on missingness patterns. Conclusion To improve the reliability of an increasing number of real-world comparative effectiveness studies in rheumatology, special attention is required to reduce potential biases. Adherence to clear recommendations for the analysis and reporting of observational comparative effectiveness studies will improve the trustworthiness of their results.

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