Exploring Public Perceptions of Dental Care Affordability in the United States: Mixed Method Analysis via Twitter.

COVID-19 access to care dental care dental professional dental treatment dentistry health care service health communication health policy healthcare reform oral health public health social media thematic analysis twitter

Journal

JMIR formative research
ISSN: 2561-326X
Titre abrégé: JMIR Form Res
Pays: Canada
ID NLM: 101726394

Informations de publication

Date de publication:
01 Jul 2022
Historique:
received: 18 01 2022
accepted: 16 05 2022
revised: 16 05 2022
pubmed: 4 6 2022
medline: 4 6 2022
entrez: 3 6 2022
Statut: epublish

Résumé

Dental care expenses are reported to present higher financial barriers than any other type of health care service in the United States. Social media platforms such as Twitter have become a source of public health communication and surveillance. Previous studies have demonstrated the usefulness of Twitter in exploring public opinion on aspects of dental care. To date, no studies have leveraged Twitter to examine public sentiments regarding dental care affordability in the United States. The aim of this study is to understand public perceptions of dental care affordability in the United States on the social media site, Twitter. Tweets posted between September 1, 2017, and September 30, 2021, were collected using the Snscrape application. Query terms were selected a priori to represent dentistry and financial aspects associated with dental treatment. Data were analyzed qualitatively using both deductive and inductive approaches. In total, 8% (440/5500) of all included tweets were coded to identify prominent themes and subthemes. The entire sample of included tweets were then independently coded into thematic categories. Quantitative data analyses included geographic distribution of tweets by state, volume analysis of tweets over time, and distribution of tweets by content theme. A final sample of 5314 tweets were included in the study. Thematic analysis identified the following prominent themes: (1) general sentiments (1614 tweets, 30.4%); (2) delaying or forgoing dental care (1190 tweets, 22.4%); (3) payment strategies (1019 tweets, 19.2%); (4) insurance (767 tweets, 14.4%); and (5) policy statements (724 tweets, 13.6%). Geographic distributions of the tweets established California, Texas, Florida, and New York as the states with the most tweets. Qualitative analysis revealed barriers faced by individuals to accessing dental care, strategies taken to cope with dental pain, and public perceptions on aspects of dental care policy. The volume and thematic trends of the tweets corresponded to relevant societal events, including the COVID-19 pandemic and debates on health care policy resulting from the election of President Joseph R. Biden. The findings illustrate the real-time sentiment of social media users toward the cost of dental treatment and suggest shortcomings in funding that may be representative of greater systemic failures in the provision of dental care. Thus, this study provides insights for policy makers and dental professionals who strive to increase access to dental care.

Sections du résumé

BACKGROUND BACKGROUND
Dental care expenses are reported to present higher financial barriers than any other type of health care service in the United States. Social media platforms such as Twitter have become a source of public health communication and surveillance. Previous studies have demonstrated the usefulness of Twitter in exploring public opinion on aspects of dental care. To date, no studies have leveraged Twitter to examine public sentiments regarding dental care affordability in the United States.
OBJECTIVE OBJECTIVE
The aim of this study is to understand public perceptions of dental care affordability in the United States on the social media site, Twitter.
METHODS METHODS
Tweets posted between September 1, 2017, and September 30, 2021, were collected using the Snscrape application. Query terms were selected a priori to represent dentistry and financial aspects associated with dental treatment. Data were analyzed qualitatively using both deductive and inductive approaches. In total, 8% (440/5500) of all included tweets were coded to identify prominent themes and subthemes. The entire sample of included tweets were then independently coded into thematic categories. Quantitative data analyses included geographic distribution of tweets by state, volume analysis of tweets over time, and distribution of tweets by content theme.
RESULTS RESULTS
A final sample of 5314 tweets were included in the study. Thematic analysis identified the following prominent themes: (1) general sentiments (1614 tweets, 30.4%); (2) delaying or forgoing dental care (1190 tweets, 22.4%); (3) payment strategies (1019 tweets, 19.2%); (4) insurance (767 tweets, 14.4%); and (5) policy statements (724 tweets, 13.6%). Geographic distributions of the tweets established California, Texas, Florida, and New York as the states with the most tweets. Qualitative analysis revealed barriers faced by individuals to accessing dental care, strategies taken to cope with dental pain, and public perceptions on aspects of dental care policy. The volume and thematic trends of the tweets corresponded to relevant societal events, including the COVID-19 pandemic and debates on health care policy resulting from the election of President Joseph R. Biden.
CONCLUSIONS CONCLUSIONS
The findings illustrate the real-time sentiment of social media users toward the cost of dental treatment and suggest shortcomings in funding that may be representative of greater systemic failures in the provision of dental care. Thus, this study provides insights for policy makers and dental professionals who strive to increase access to dental care.

Identifiants

pubmed: 35658090
pii: v6i7e36315
doi: 10.2196/36315
pmc: PMC9288095
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e36315

Informations de copyright

©Shahen Yashpal, Ananditha Raghunath, Nihan Gencerliler, Lorel E Burns. Originally published in JMIR Formative Research (https://formative.jmir.org), 01.07.2022.

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Auteurs

Shahen Yashpal (S)

College of Dentistry, New York University, New York, NY, United States.

Ananditha Raghunath (A)

Computer Science & Engineering, University of Washington, Seattle, WA, United States.

Nihan Gencerliler (N)

Department of Endodontics, College of Dentistry, New York University, New York, NY, United States.

Lorel E Burns (LE)

Department of Endodontics, College of Dentistry, New York University, New York, NY, United States.

Classifications MeSH