Evidence map›Paper›PMID 34499843›Full record

ArticleAmerican journal of speech-language pathology2021

Twitter, Telepractice, and the COVID-19 Pandemic: A Social Media Content Analysis.

Kristen Weidner, Joneen Lowman, Anne Fleischer, Kyle Kosik, Peyton Goodbread, Benjamin Chen, Ramakanth Kavuluru

Abstract read
In one paragraph

Article in American journal of speech-language pathology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Article
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  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Kristen WeidnerUniversity of Kentucky, Lexington.ORCID 0000-0001-6960-517X
Joneen LowmanUniversity of Kentucky, Lexington.
Anne FleischerUniversity of Kentucky, Lexington.
Kyle KosikUniversity of Kentucky, Lexington.
Peyton GoodbreadUniversity of Kentucky, Lexington.
Benjamin ChenPaul Laurence Dunbar High School, Lexington, KY.
Ramakanth KavuluruUniversity of Kentucky, Lexington.

Funding

Toward fine-grained e-cigarette surveillance on social media: Evolving themes, popularity predictors, and demographic variationsR21CA218231 · NCI · UNIVERSITY OF KENTUCKY · PI KAVULURU, VENKATA NAGA RAMAKANTH · 2017 to 2018
$366k
NCI NIH HHS R21 CA218231
6 · The paper itself

Abstract

Purpose Telepractice was extensively utilized during the COVID-19 pandemic. Little is known about issues experienced during the wide-scale rollout of a service delivery model that was novel to many. Social media research is a way to unobtrusively analyze public communication, including during a health crisis. We investigated the characteristics of tweets about telepractice through the lens of an established health technology implementation framework. Results can help guide efforts to support and sustain telehealth beyond the pandemic context. Method We retrieved a historical Twitter data set containing tweets about telepractice from the early months of the pandemic. Tweets were analyzed using a concurrent mixed-methods content analysis design informed by the nonadoption, abandonment, scale-up, spread, and sustainability (NASSS) framework. Results Approximately 2,200 Twitter posts were retrieved, and 820 original tweets were analyzed qualitatively. Volume of tweets about telepractice increased in the early months of the pandemic. The largest group of Twitter users tweeting about telepractice was a group of clinical professionals. Tweet content reflected many, but not all, domains of the NASSS framework. Conclusions Twitter posting about telepractice increased during the pandemic. Although many tweets represented topics expected in technology implementation, some represented phenomena were potentially unique to speech-language pathology. Certain technology implementation topics, notably sustainability, were not found in the data. Implications for future telepractice implementation and further research are discussed.

Indexed as

COVID-19Social MediaHumansPandemicsSARS-CoV-2

Identifiers

PMID34499843
PMCPMC9132031

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.