| Literature DB >> 32477696 |
Yunpeng Zhao1, Hansi Zhang1, Jinhai Huo1, Yi Guo1, Yonghui Wu1, Mattia Prosperi1, Jiang Bian1.
Abstract
Palliative care is a specialized service with proven efficacy in improving patients' quality-of-life. Nevertheless, lack of awareness and misunderstanding limits its adoption. Research is urgently needed to understand the determinants (e.g., knowledge) related to its adoption. Traditionally, these determinants are measured with questionnaires. In this study, we explored Twitter to reveal these determinants guided by the Integrated Behavioral Model. A secondary goal is to assess the feasibility of extracting user demographics from Twitter data-a significant shortcoming in existing studies that limits our ability to explore more fine-grained research questions (e.g., gender difference). Thus, we collected, preprocessed, and geocoded palliative care-related tweets from 2013 to 2019 and then built classifiers to: 1) categorize tweets into promotional vs. consumer discussions, and 2) extract user gender. Using topic modeling, we explored whether the topics learned from tweets are comparable to responses of palliative care-related questions in the Health Information National Trends Survey. ©2020 AMIA - All rights reserved.Entities:
Year: 2020 PMID: 32477696 PMCID: PMC7233059
Source DB: PubMed Journal: AMIA Jt Summits Transl Sci Proc