Patterns and conversational structure of knowledge sharing on Ebola virus disease among healthcare practitioners: Observations from a pilot study

Abstract

This pilot study was designed to determine the conversational structure on Ebola Virus Disease (EVD), pattern of knowledge sharing and knowledge sharing behaviour of healthcare practitioners (HCP) on Medscape online network. The study was guided by Conversation Theory, and deployed a retrospective document/content analysis research design. Ninety-two comments from healthcare practitioners including 16 EVD newsposts out of 37 EVD news were randomly extracted from the network between 2014 and 2018. Extracted data were analysed using NVivo and Microsoft Excel applications. An EVD knowledge taxonomy was developed from the content mapping of EVD topics posted on the network. Results from the pilot study revealed that news on EVD were mostly on EVD outbreak management at the peak period of EVD outbreak in 2014. Also, the HCPs mostly engaged in knowledge sharing on issues relating to EVD risk. Findings revealed that the entire (37) newsposts were of interest to HCPs and they responded to 16 newsposts. There were three active and influential HCPs on the network. The novelty of this study stems from its focus on conversation patterns of HCP on online knowledge sharing using the variables of Conversation theory to examine their knowledge sharing behaviours. The outcome of the study could serve as a model for other studies on other trending viral diseases such as Coronavirus, Lassa Fever, Monkey pox, etc. This study thus recommends replicate analysis in the main study with a larger data set with further findings using network analysis and other statistical tools to examine the conversational structure on EVD and pattern of knowledge sharing among the HCPs.