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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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          Abstract

          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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          Most cited references30

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          National, regional, and worldwide estimates of preterm birth rates in the year 2010 with time trends since 1990 for selected countries: a systematic analysis and implications.

          Preterm birth is the second largest direct cause of child deaths in children younger than 5 years. Yet, data regarding preterm birth (<37 completed weeks of gestation) are not routinely collected by UN agencies, and no systematic country estimates nor time trend analyses have been done. We report worldwide, regional, and national estimates of preterm birth rates for 184 countries in 2010 with time trends for selected countries, and provide a quantitative assessment of the uncertainty surrounding these estimates. We assessed various data sources according to prespecified inclusion criteria. National Registries (563 datapoints, 51 countries), Reproductive Health Surveys (13 datapoints, eight countries), and studies identified through systematic searches and unpublished data (162 datapoints, 40 countries) were included. 55 countries submitted additional data during WHO's country consultation process. For 13 countries with adequate quality and quantity of data, we estimated preterm birth rates using country-level loess regression for 2010. For 171 countries, two regional multilevel statistical models were developed to estimate preterm birth rates for 2010. We estimated time trends from 1990 to 2010 for 65 countries with reliable time trend data and more than 10,000 livebirths per year. We calculated uncertainty ranges for all countries. In 2010, an estimated 14·9 million babies (uncertainty range 12·3-18·1 million) were born preterm, 11·1% of all livebirths worldwide, ranging from about 5% in several European countries to 18% in some African countries. More than 60% of preterm babies were born in south Asia and sub-Saharan Africa, where 52% of the global livebirths occur. Preterm birth also affects rich countries, for example, USA has high rates and is one of the ten countries with the highest numbers of preterm births. Of the 65 countries with estimated time trends, only three (Croatia, Ecuador, and Estonia), had reduced preterm birth rates 1990-2010. The burden of preterm birth is substantial and is increasing in those regions with reliable data. Improved recording of all pregnancy outcomes and standard application of preterm definitions is important. We recommend the addition of a data-quality indicator of the per cent of all live preterm births that are under 28 weeks' gestation. Distinguishing preterm births that are spontaneous from those that are provider-initiated is important to monitor trends associated with increased caesarean sections. Rapid scale up of basic interventions could accelerate progress towards Millennium Development Goal 4 for child survival and beyond. Bill & Melinda Gates Foundation through grants to Child Health Epidemiology Reference Group (CHERG) and Save the Children's Saving Newborn Lives programme; March of Dimes; the Partnership for Maternal Newborn and Childe Health; and WHO, Department of Reproductive Health and Research. Copyright © 2012 Elsevier Ltd. All rights reserved.
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            THE PROBABILITY RANKING PRINCIPLE IN IR

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              The Effects of Kangaroo Care in the Neonatal Intensive Care Unit on the Physiological Functions of Preterm Infants, Maternal-Infant Attachment, and Maternal Stress.

              This study was conducted to identify the effects of kangaroo care on the physiological functions of preterm infants, maternal-infant attachment, and maternal stress.
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                Author and article information

                Journal
                Child Health Nurs Res
                Child Health Nurs Res
                Child Health Nursing Research
                Korean Academy of Child Health Nursing
                2287-9110
                2287-9129
                January 2021
                31 January 2021
                : 27
                : 1
                : 34-42
                Affiliations
                [1 ]Graduate Student, Department of Nursing, Wonkwang University, Iksan, Korea
                [2 ]Associate Professor, Department of Nursing, Wonkwang University, Iksan, Korea
                Author notes
                Corresponding author: Haeryun Cho, https://orcid.org/0000-0001-7366-9774, Department of Nursing, Wonkwang University, 460 Iksn-daero, Iksan 54538, Korea, TEL +82-63-850-6020, FAX +82-63-850-6060, E-MAIL chr@ 123456wku.ac.k
                Author information
                https://orcid.org/0000-0001-7366-9774
                Article
                chnr-27-1-34
                10.4094/chnr.2021.27.1.34
                8650870
                35004495
                0490d4e0-4e1a-4c47-a842-a63f574d0682
                Copyright © 2021 Korean Academy of Child Health Nursing

                This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 30 October 2020
                : 11 December 2020
                : 21 December 2020
                Categories
                Original Article

                big data,child,parents,preterm infant,data mining
                big data, child, parents, preterm infant, data mining

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