ArticleHealthcare (Basel, Switzerland)2021
Factors Influencing Physicians' Continuous Blogging: A Survey.
Article in Healthcare (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Impact of health science popularization videos on user perceived value and continuous usage intention: based on the C-A-C and ECM model framework.Frontiers in public health · 2024Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHealth information can be more easily transmitted and diffused through the Internet, but questionable online health information often misinforms patients. Physicians have a duty to inform patients how to achieve positive health outcomes. Many physicians often write blogs to provide patients with the right health information. However, most articles available on this subject only describe the blog phenomena without providing a theoretical background and an empirical analysis of doctors using blogs.
methodsThis study based on social cognitive theory (SCT) explores the factors influencing physicians' intention of continuously blogging. A total of 887 physician bloggers were invited to participate in an online survey and 128 valid responses were received.
resultsThe SCT was proven to be useful in explaining 36.8% of the variation in physicians' continuous intention to blog.
conclusionsWe provide references for platform developers with different strategies to motivate doctors to blog, and the implications and limitations of this study are discussed.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.