[논문]Analysis of the supportive care needs of the parents of preterm children in South Korea using big data text-mining: Topic modeling

Park, Ji Hyeon; Lee, Hanna; Cho, Haeryun

doi:10.4094/chnr.2021.27.1.34

Analysis of the supportive care needs of the parents of preterm children in South Korea using big data text-mining: Topic modeling 원문보기

CHNR : Child health nursing research, v.27 no.1, 2021년, pp.34 - 42

Park, Ji Hyeon (Department of Nursing, Wonkwang University) , Lee, Hanna (Department of Nursing, Wonkwang University) , Cho, Haeryun (Department of Nursing, Wonkwang University)

Abstract ▼ AI-Helper

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.

주제어

표/그림 (3)

그림 Figure 1. Study process and data analysis. *Yirundung-yi is native Korean as premature infant; LDA, latent dirichlet allocation; SNS, social network service; TF-IDF, term frequency inverse document frequency.
표 Table 1. Top 50 Keywords (N=9,782)
그림 Figure 2. Word clouds. (A) Total. (B) News articles. (C) Social network service.

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문제 정의

As research on raising premature children discharged from the NICU is just beginning, this study is significant in that an analysis was conducted using big data with the goal of understanding the supportive care needs of parents raising preterm children. The significance of this study lies in its ability to identify parents' needs meaningfully because it analyzed 2, 594 texts using text mining and LDA topic modeling to extract topics embedded in online documents used by these parents.
In this study, text mining was performed using online big data to identify the supportive care needs of parents of preterm children.
This study analyzed a vast amount of text from online newspaper articles and SNS posts to understand the supportive care needs reported by parents raising preterm children. Four topics were identified through the data analysis.

제안 방법

The third topic was composed of "worry", "weight", "test", "retinopathy of prematurity (ROP) test", and "corrected age";. This topic indicates that after discharge from the NICU, parents became aware of the problems related to the growth and development of their children and became anxious or con- cerned.
share of more than 60%[19]. The researchers conducted face-to-face meetings six times to closely examine agreement for the selection of texts to be used in the analysis of the supportive care needs of parents of preterm children using big data text mining. In total, 1, 247 online newspaper articles and 1, 966 SNS posts by the parents of preterm children in a web community on a portal site, posted between January 1 and December 31, 2019, were analyzed.
The significance of this study lies in its ability to identify parents' needs meaningfully because it analyzed 2, 594 texts using text mining and LDA topic modeling to extract topics embedded in online documents used by these parents. In addition, as the data were collected using various channels, namely online newspaper articles and SNSs, the research results derived in this study are reliable.
Online news can be regarded as a public concern because it contains information that attracts attention related to real life through interactions with people living at the same time [18]. Therefore, this study was conducted to identify the types of support requests made by the parents of preterm children by using text data from online newspaper articles and SNS posts on a portal site. The specific purpose of the present study was 1) to collect big data using text mining to analyze keywords and 2) to derive the supportive care needs of parents of preterm children by using topic modeling.
This study was conducted in the following order: keyword selection, data collection, morpheme analysis, keyword anal- ysis, and topic modeling (Figure 1).

이론/모형

For topic modeling, the latent dirichlet allocation (LDA) model was used in this study. The LDA method assumes that a document is a collection of topics, each of which is a set of keywords, and it probabilistically infers the topics latent in the document [24].
Morphological analysis was performed with nouns and adjectives using the MeCab-ko analyzer. Unlike Espresso K, MeCab-ko has the advantage of classifying vocabulary by referring to a dictionary regardless of space [21].

성능/효과

data, and SNS data are presented in Figure 2. The word cloud of online newspaper articles revealed that "premature infant" was the most important term, as its representation in the cloud was larger than that of "yirundung-yi", indicating that the official medical term was primarily used in online newspaper articles. In the word cloud of SNS data, "yirundung-yi" was found to have higher importance than "premature infant", and other words related to parenting were found to be the main words.
In addition, according to a study by Jeong and Kim [30] that analyzed the parental education of parents of infants, the most frequently encountered type of parental education dealt with child development; how- ever, parents wanted education related to actual parenting be- haviors, including interacting with their child, solving health problems, and proper eating habits. Consistent with previous studies, the results of this study revealed that keywords related to practical care for infants, such as "formula", "diapers" and "childcare products" appeared, rather than content specific to preterm children. Therefore, the demands of parents who care for their children after discharge from the NICU relate to real-world parenting behaviors.

후속연구

For interventions after NICU discharge, parenting methods specific to premature infants are important; however, information on parenting methods in general should also be included. In addition, it is necessary for a team composed of multidisciplinary experts, such as doc- tors, nurses, development experts, and occupational thera- pists, to provide support for the individual growth and development of preterm children and help manage complications of prematurity. Finally, it is suggested that various media such as SNS, internet, and mobile platforms be used to increase the accessibility of information for parents.

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