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Networked Behaviors Associated With a Large-Scale Secure Messaging Network: Cross-Sectional Secondary Data Analysis

Networked Behaviors Associated With a Large-Scale Secure Messaging Network: Cross-Sectional Secondary Data Analysis

For example, Lew et al [57] found that inpatient clinicians receiving more messages spent more time on EHR-based work and had increased attention switching (ie, increased cognitive load); similarly, Lou et al [10] found that an increased volume of messages was associated with increased likelihood of wrong-patient ordering errors.

Laura Rosa Baratta, Linlin Xia, Daphne Lew, Elise Eiden, Y Jasmine Wu, Noshir Contractor, Bruce L Lambert, Sunny S Lou, Thomas Kannampallil

JMIR Med Inform 2025;13:e66544

Public Perceptions of Very Low Nicotine Content on Twitter: Observational Study

Public Perceptions of Very Low Nicotine Content on Twitter: Observational Study

To establish a codebook for coding all tweets, we randomly selected 300 (around 10%) noncommercial tweets related to VLNC, which were manually coded in parallel by 2 human coders (X Liu and X Lou). We classified tweets as positive, negative, or neutral based on their attitude toward VLNC. At the same time, within each attitude, we further characterized tweets into different topics. Each tweet can be assigned with more than 1 topic.

Zidian Xie, Xinyi Liu, Xubin Lou, Dongmei Li

JMIR Form Res 2024;8:e63035