ArticleJournal of medical Internet research2020
Characteristics of Twitter Use by State Medicaid Programs in the United States: Machine Learning Approach.
Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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Who cites it
5 citing papers in PubMed.
- US State Public Health Agencies' Use of Twitter From 2012 to 2022: Observational Study.Journal of medical Internet research · 2025Observational
- Community-engaged artificial intelligence research: A scoping review.PLOS digital health · 2024Article
- Testing Multiple Methods to Effectively Promote Use of a Knowledge Portal to Health Policy Makers: Quasi-Experimental Evaluation.Journal of medical Internet research · 2023Article
- Developing an Automatic System for Classifying Chatter About Health Services on Twitter: Case Study for Medicaid.Journal of medical Internet research · 2021Article
- Topics, Trends, and Sentiments of Tweets About the COVID-19 Pandemic: Temporal Infoveillance Study.Journal of medical Internet research · 2020Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTwitter is a potentially valuable tool for public health officials and state Medicaid programs in the United States, which provide public health insurance to 72 million Americans.
objectiveWe aim to characterize how Medicaid agencies and managed care organization (MCO) health plans are using Twitter to communicate with the public.
methodsUsing Twitter's public application programming interface, we collected 158,714 public posts ("tweets") from active Twitter profiles of state Medicaid agencies and MCOs, spanning March 2014 through June 2019. Manual content analyses identified 5 broad categories of content, and these coded tweets were used to train supervised machine learning algorithms to classify all collected posts.
resultsWe identified 15 state Medicaid agencies and 81 Medicaid MCOs on Twitter. The mean number of followers was 1784, the mean number of those followed was 542, and the mean number of posts was 2476. Approximately 39% of tweets came from just 10 accounts. Of all posts, 39.8% (63,168/158,714) were classified as general public health education and outreach; 23.5% (n=37,298) were about specific Medicaid policies, programs, services, or events; 18.4% (n=29,203) were organizational promotion of staff and activities; and 11.6% (n=18,411) contained general news and news links. Only 4.5% (n=7142) of posts were responses to specific questions, concerns, or complaints from the public.
conclusionsTwitter has the potential to enhance community building, beneficiary engagement, and public health outreach, but appears to be underutilized by the Medicaid program.
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