Collaborative writing applications in support of knowledge translation and management during pandemics: A scoping review

Abstract

Objectives: This study aimed to: (1) Map existing evidence about the use of collaborative writing applications (CWAs) during pandemics; (2) Describe CWAs' positive and negative effects on knowledge translation (KT) and knowledge management (KM) during pandemics; and (3) Inventory the barriers and facilitators that affect CWAs' use to support KT and KM during pandemics.

Materials and methods: Based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) Extension for Scoping Reviews, we conducted a scoping review of the literature reporting the use of CWAs during pandemics published between 2001 and 2021. Two reviewers undertook the screening, study selection and qualitative thematic analysis.

Results: We identified a total of 46 studies. CWAs were used for the following two purposes: KT and KM (23 of 46) anddisease surveillance and infodemiology (20 of 46). Three studies addressed both purposes. Influenza was the focus of most studies (15 of 46), followed by COVID-19 (10 of 46).We identified and classified 24 barriers and 66 facilitators into four categories (factors related to the CWAs, users' knowledge and attitude towards CWAs, human environment, and organizational environment). We also found 74 positive and 7 negative effects that were classified into processes and outcomes.

Conclusion: CWAs offer the potential to accelerate KT and KM during pandemics. Their scalability and adaptability to different contexts makes them well suited to support the urgent KT and KM needed in the context of rapidly changing knowledge during pandemics. While their speed and cost as disease surveillance systems compare favorably with existing surveillance systems, the primary challenge is to ensure the accuracy of information shared.

Keywords: COVID-19; Collaborative writing applications; Disease outbreaks; E-health; Evidence-based medicine; Knowledge management; Knowledge translation; Learning health systems; Pandemics; Public health emergencies; Wikis.