ArticleHealth informatics journal
Contents and sentiment analysis of newspaper articles and comments on telemedicine in Korea: Before and after of COVID-19 outbreak.
Article in Health informatics journal. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed, 10 citations in OpenAlex.
- Enhancing telemedicine service quality through sentiment analysis of user review dataset in Indonesia.Data in brief · 2025Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Telemedicine is rapidly growing to meet the increased needs for high-quality health care during the COVID-19 pandemic. However, telemedicine is still a sensitive issue as it is related to medical privatization. The use of telemedicine after the COVID-19 outbreak might be influenced by public opinion, and this may be an important key in implementing telemedicine. In this study, we aimed to assess if telemedicine-related newspaper articles and comments changed positively during the COVID-19 pandemic. From January 1, 2019, to March 1, 2020 (before COVID-19), a total of 1073 telemedicine-related articles were found in the Korean news network. Although the post-COVID-19 article collection period (from March 2, 2020, to September 30, 2020) was about half that of the pre-COVID-19, about twice the number (1934) of telemedicine-related articles were collected. And telemedicine-related news articles had a more positive tone post-COVID-19 than pre-COVID-19 (52.9% after vs 40.4% before). In conclusion, this study presented the association between the COVID-19 outbreak and changes in the media's perception of telemedicine in Korea. This study presented that, as telemedicine begins to be utilized due to COVID-19, news media and readers who embrace it are beginning to view telemedicine positively, suggesting that COVID-19 has a positive foundation for the spread of telemedicine.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.