Literature DB >> 34091021

Resource use during systematic review production varies widely: a scoping review.

B Nussbaumer-Streit1, M Ellen2, I Klerings3, R Sfetcu4, N Riva5, M Mahmić-Kaknjo6, G Poulentzas7, P Martinez8, E Baladia9, L E Ziganshina10, M E Marqués9, L Aguilar9, A P Kassianos11, G Frampton12, A G Silva13, L Affengruber14, R Spjker15, J Thomas16, R C Berg17, M Kontogiani18, M Sousa19, C Kontogiorgis20, G Gartlehner21.   

Abstract

OBJECTIVE: We aimed to map the resource use during systematic review (SR) production and reasons why steps of the SR production are resource intensive to discover where the largest gain in improving efficiency might be possible. STUDY DESIGN AND
SETTING: We conducted a scoping review. An information specialist searched multiple databases (e.g., Ovid MEDLINE, Scopus) and implemented citation-based and grey literature searching. We employed dual and independent screenings of records at the title/abstract and full-text levels and data extraction.
RESULTS: We included 34 studies. Thirty-two reported on the resource use-mostly time; four described reasons why steps of the review process are resource intensive. Study selection, data extraction, and critical appraisal seem to be very resource intensive, while protocol development, literature search, or study retrieval take less time. Project management and administration required a large proportion of SR production time. Lack of experience, domain knowledge, use of collaborative and SR-tailored software, and good communication and management can be reasons why SR steps are resource intensive.
CONCLUSION: Resource use during SR production varies widely. Areas with the largest resource use are administration and project management, study selection, data extraction, and critical appraisal of studies.
Copyright © 2021 The Author(s). Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Costs; Efficient; Evidence synthesis; Personnel; Resources; Time

Mesh:

Year:  2021        PMID: 34091021     DOI: 10.1016/j.jclinepi.2021.05.019

Source DB:  PubMed          Journal:  J Clin Epidemiol        ISSN: 0895-4356            Impact factor:   6.437


  1 in total

1.  Assessing author willingness to enter study information into structured data templates as part of the manuscript submission process: A pilot study.

Authors:  A Amina Wilkins; Paul Whaley; Amanda S Persad; Ingrid L Druwe; Janice S Lee; Michele M Taylor; Andrew J Shapiro; Natalie Blanton Southard; Courtney Lemeris; Kristina A Thayer
Journal:  Heliyon       Date:  2022-03-11
  1 in total

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