ArticleJournal of multidisciplinary healthcare2022
Analyzing Community Care Research Trends Using Text Mining.
Article in Journal of multidisciplinary healthcare, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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.
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Who cites it
3 citing papers in PubMed.
- Harnessing Social Media Data to Understand Information Needs About Kidney Diseases and Emotional Experiences With Disease Management: Topic and Sentiment Analysis.Journal of medical Internet research · 2025Article
- Text mining of verbal autopsy narratives to extract mortality causes and most prevalent diseases using natural language processing.PloS one · 2024Article
- Factors influencing the health satisfaction of users of public health and medical institutions in South Korea.Frontiers in public health · 2022Article
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: This study utilized text mining to analyze research trends around community care, which focuses on improving patients' quality of life by lessening the financial burden on caregivers and relieving patient discomfort. Methods: To examine research trends by community care stage, Section 1 is set from 2017 to 2019, when the community care was implemented, and Section 2 from 2020 to 2021, after the end of the community care. Papers used for the analysis were extracted using the Korea Citation Index (KCI); a total of 132 articles were selected and subjected to text mining analysis. Results: First, the main community care research areas included work, housing, economy, disability, and mind. Second, from 2017 to 2019, there was considerable interest in community care centered on households, and main keywords, such as nursing, family, and experience, appeared. Third, from 2020 to the present, there was high interest in community care centered on disabilities, and keywords, such as space, business, and Seoul City, appeared. Conclusion: The results reveal the changing issues, with the implementation of community care. Overall, research has tended to focus on social and welfare systems, rather than health and medical systems. In the future, local, community-integrated health and medical care systems should be restructured and regional delivery systems established to make them more accessible.
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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.