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KMID : 1102120210270010034
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Child Health Nursing Research
2021 Volume.27 No. 1 p.34 ~ p.42
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Analysis of the supportive care needs of the parents of preterm children in South Korea using big data text-mining: Topic modeling
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Park Ji-Hyeon
Lee Han-Na
Cho Hae-Ryun
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Abstract
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Purpose: The purpose of this study was to identify the supportive care needs of parents of preterm children in South Korea using text data from a portal site.
Methods: In total, 628 online newspaper articles and 1,966 social network service posts published between January 1 and December 31, 2019 were analyzed. The procedures in this study were conducted in the following order: keyword selection, data collection, morpheme analysis, keyword analysis, and topic modeling.
Results: The term “yirundung-yi”, which is a native Korean word referring to premature infants, was confirmed to be a useful term for parents. The following four topics were identified as the supportive care needs of parents of preterm children: 1) a vague fear of caring for a baby upon imminent neonatal intensive care unit discharge, 2) real-world difficulties encountered while caring for preterm children, 3) concerns about growth and development problems, and 4) anxiety about possible complications.
Conclusion: Supportive care interventions for parents of preterm children should include general parenting methods for babies. A team composed of multidisciplinary experts must support the individual growth and development of preterm children and manage the complications of prematurity using highly accessible media.
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KEYWORD
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Big data, Child, Parents, Preterm infant, Data mining
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