Development of a Study Protocol for Evaluation of a Novel Measure to Incorporate Information Freshness into Network Analysis of Online Resources for COVID-19

• Published in: AMIA Summits on Translational Science proceedings Vol. 2024; p. 27
• Main Authors: Abrams, Meredith, Wong, Audrey, Kholti, Hanae El, Chung, Yunro, Armitige, Lisa, Wang, Dongwen
• Format: Journal Article
• Language: English
• Published: United States 2024
• ISSN: 2153-4063; 2153-4063

We proposed a novel measure, Degree of Connectivity with Integration of Freshness (DCIF), to incorporate information freshness into analysis of online resource networks. We conducted a pilot study to apply this new measure to a dataset of online information resources related to COVID-19 risk assessment. Among the 52 nodes, we recorded statistically significant difference between the numerical values of DCIF and the traditional structural measure Degree of Connectivity (DC). Manual reviews of 18 selected nodes showed that DCIF outperformed DC in 11 of them, suggesting potential promise of the proposed new measure. We finalized the protocol for manual review based on the pilot and started a full-scale study. The proposed new measure has the potential to provide quantitative assessment on information freshness for timely and effective dissemination of clinical evidence. Further research is required to address the limitations of this pilot study and to examine the generalization of the findings.