|
KMID : 1812820230060010013
|
|
Journal of Korean Dental Hygiene Science
2023 Volume.6 No. 1 p.13 ~ p.28
|
|
|
A Study on the Perception of Quality of Care Services by Care Workers using Big Data
|
|
Cho Han-A
|
|
|
Abstract
|
|
|
Background: This study was conducted to confirm the service quality management of care workers, who are direct service personnel of long-term care insurance for the elderly, using unstructured big data.
Methods: Using a textome, this study collected and analyzed unstructured social data related to care workers’ service quality. Frequency, TF-IDF, centrality, semantic network, and CONCOR analyses were conducted on the top 50 keywords collected by crawling the data.
Results: As a result of frequency analysis, the top-ranked keywords were ‘Long-term care services,’ ‘Care workers,’ ‘Quality of care services,’ ‘Long term care,’ ‘Long term care facilities,’ ‘Enhancement,’ ‘Elderly,’ ‘Treatment,’ ‘Improvement,’ and ‘Necessity.’ The results of degree centrality and eigenvector centrality were almost the same as those of the frequency analysis. As a result of the CONCOR analysis, it was found that the improvement in the quality of long-term care services, the operation of the long-term care services, the long-term care services system, and the perception of the psychological aspects of the care workers were of high concern.
Conclusion: This study contributes to setting various directions for improving the service quality of care workers by presenting perceptions related to the service quality of care workers as a meaningful group.
|
|
|
KEYWORD
|
|
|
Big Data, Care Worker, Quality of Care Services, Text Mining
|
|
|
FullTexts / Linksout information
|
|
|
|
|
|
Listed journal information
|
|
|
|