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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Feb 24, 2020
Date Accepted: Jun 3, 2020

The final, peer-reviewed published version of this preprint can be found here:

Characteristics of Twitter Use by State Medicaid Programs in the United States: Machine Learning Approach

Zhu J, Sarker A, Gollust S, Merchant R, Grande D

Characteristics of Twitter Use by State Medicaid Programs in the United States: Machine Learning Approach

J Med Internet Res 2020;22(8):e18401

DOI: 10.2196/18401

PMID: 32804085

PMCID: 7459428

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Characteristics of Twitter Use by State Medicaid Programs in the U.S

  • Jane Zhu; 
  • Abeed Sarker; 
  • Sarah Gollust; 
  • Raina Merchant; 
  • David Grande

ABSTRACT

Background:

Twitter is a potentially valuable tool for public health officials, particularly state Medicaid programs. Medicaid currently covers 72 million children, older adults, people with disabilities, and low-income populations, and is currently undergoing a variety of program and policy changes.

Objective:

We characterized how Medicaid agencies and managed care organization (MCO) health plans are using Twitter to communicate with the public.

Methods:

Using Twitter’s public API, we collected 160,380 public posts (“tweets”) from active Twitter profiles of state Medicaid agencies and MCOs, spanning March 2014-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.

Results:

We identified 15 state Medicaid agencies and 81 Medicaid MCOs on Twitter. Mean number of followers was 1,784; mean number of those followed was 542; and mean number of posts was 2,476. Approximately 39% of tweets came from just 10 accounts. Of all posts, 39.8% were classified as general public health education and outreach; 23.5% were about specific Medicaid policies, programs, services, or events; 18.4% were organizational promotion of staff and activities; and 11.6% contained general news and news links. Only 4.5% of posts were responses to specific questions, concerns, or complaints from the public.

Conclusions:

Twitter has the potential to enhance community building, enrollee engagement, and public health outreach, but appears to be underutilized in the Medicaid program.


 Citation

Please cite as:

Zhu J, Sarker A, Gollust S, Merchant R, Grande D

Characteristics of Twitter Use by State Medicaid Programs in the United States: Machine Learning Approach

J Med Internet Res 2020;22(8):e18401

DOI: 10.2196/18401

PMID: 32804085

PMCID: 7459428

Per the author's request the PDF is not available.