Results from Cochrane’s living systematic review pilot

Article type
Authors
Millard T1, Turner T1, McDonald S1, Green S1, Elliott J1, Synnot A1
1Monash University, Melbourne
Abstract
Background: Since 2016, several Cochrane teams and others in the Living Systematic Review (LSR) Network have been piloting LSRs. Ensuring these high-quality evidence syntheses are continually up to date requires some modifications to existing authoring and editorial processes, and poses a number of technical and publishing challenges.
Objectives: To understand the experiences of those conducting LSRs and to assess the feasibility and acceptability of this new approach in order to refine future LSR production models.
Methods: A mixed-methods evaluation study is underway (completion mid-2018), comprising up to three semi-structured interviews per participant and monthly surveys. Participants include authors, search specialists, editors, publishers and other key stakeholders involved in the LSR pilots. Interviews explore participants’ experiences of conducting/contributing to LSRs and the barriers, facilitators, challenges and advantages of LSR processes. Monthly surveys, completed by key members of each pilot team, are initiated after the LSR is first published and capture time for key tasks and citations screened.
Results: The 17 participants (seven authors, three managing editors, three information specialists, and four editorial/other staff) are involved in one or more of six LSRs (three Cochrane; three non-Cochrane) Each LSR team first published a standard systematic review, before transitioning it into a frequent (‘living’) updating mode. Across the pilots, searches are running from monthly to three-monthly (monthly yield range from 2 to 154 citations), with some teams using machine learning and/or Cochrane Crowd to screen search results. There are considerable differences in approaches used to communicate updates to readers. Early results highlight: 1) overwhelming enthusiasm for involvement; 2) the importance of a motivated, efficient team to manage monthly requirements; 3) the value in using machine learning and citizen scientists to manage workflow and reduce time commitment; 4) the ongoing, continuous commitment required of an LSR and the translation of this process into a reliable, efficient operation; and 5) the potential for time and effort saving.
Conclusions: While the pilots and evaluation are ongoing, findings to date support the feasibility and acceptability of producing LSRs.
Patient or healthcare consumer involvement: Cochrane Crowd.