PROSPECT methodology for developing procedure-specific pain management recommendations: an update

The procedure-specific postoperative pain management (PROSPECT) working group develops evidence-based pain management recommendations. PROSPECT methodology is unique and rigorous. However, several limitations were recognised that needed to be addressed, and several new factors were identified that improved PROSPECT methodology. The aim of this article is to present updated PROSPECT methodology for development of recommendations for procedure-specific pain management, focusing on the methodological revisions we will implement. In future, included randomised clinical trials will need to be prospectively registered on a publicly accessible clinical trials database and the study design, including the primary outcome in the registration, should coincide with that in the published manuscript. Placebo-controlled studies in which the analgesic intervention of interest is solely paracetamol, non-steroidal anti-inflammatory drugs, cyclo-oxygenase-2-specific inhibitors or opioids will not be included. Studies comparing one drug in a particular class with another in the same class will also not be included. Future projects will use the Cochrane Collaboration risk of bias tool for quality of reporting of methodology and results. A modified Grading of Recommendations, Assessment, Development, and Evaluations (GRADE) approach will be used for grading of level of evidence and strength of recommendations. Finally, the updated PROSPECT methodology addresses several other limitations and implements new factors that all add rigour and transparency to developing procedure-specific pain management recommendations.

Automated summary

This article presents the updated PROSPECT methodology for developing recommendations for procedure-specific pain management. Future research will focus on improving registration and study design, as well as using appropriate tools to assess the quality of methods and results. The revised methodology also addresses limitations and increases transparency.