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[使用文本网络分析对早产的非结构化个人叙述进行可视化]

[Visualization of unstructured personal narratives of perterm birth using text network analysis].

作者信息

Kim Jeung-Im

出版信息

Korean J Women Health Nurs. 2020 Sep 30;26(3):205-212. doi: 10.4069/kjwhn.2020.08.08. Epub 2020 Aug 28.

DOI:10.4069/kjwhn.2020.08.08
PMID:36313170
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9328584/
Abstract

PURPOSE

This study aimed to identify the components of preterm birth (PTB) through women's personal narratives and to visualize clinical symptom expressions (CSEs).

METHODS

The participants were 11 women who gave birth before 37 weeks of gestational age. Personal narratives were collected by interactive unstructured storytelling via individual interviews, from August 8 to December 4, 2019 after receiving approval of the Institutional Review Board. The textual data were converted to PDF and analyzed using the MAXQDA program (VERBI Software).

RESULTS

The participants' mean age was 34.6 (±2.98) years, and five participants had a spontaneous vaginal birth. The following nine components of PTB were identified: obstetric condition, emotional condition, physical condition, medical condition, hospital environment, life-related stress, pregnancy-related stress, spousal support, and informational support. The top three codes were preterm labor, personal characteristics, and premature rupture of membrane, and the codes found for more than half of the participants were short cervix, fear of PTB, concern about fetal well-being, sleep difficulty, insufficient spousal and informational support, and physical difficulties. The top six CSEs were stress, hydramnios, false labor, concern about fetal wellbeing, true labor pain, and uterine contraction. "Stress" was ranked first in terms of frequency and "uterine contraction" had individual attributes.

CONCLUSION

The text network analysis of narratives from women who gave birth preterm yielded nine PTB components and six CSEs. These nine components should be included for developing a reliable and valid scale for PTB risk and stress. The CSEs can be applied for assessing preterm labor, as well as considered as strategies for students in women's health nursing practicum.

摘要

目的

本研究旨在通过女性的个人叙述确定早产(PTB)的组成部分,并直观呈现临床症状表现(CSEs)。

方法

研究对象为11名在孕37周前分娩的女性。在获得机构审查委员会批准后,于2019年8月8日至12月4日通过个体访谈采用交互式非结构化讲故事的方式收集个人叙述。文本数据转换为PDF格式,并使用MAXQDA程序(VERBI软件)进行分析。

结果

参与者的平均年龄为34.6(±2.98)岁,5名参与者为自然阴道分娩。确定了以下九个早产组成部分:产科情况、情绪状况、身体状况、医疗状况、医院环境、生活相关压力、妊娠相关压力、配偶支持和信息支持。前三个编码是早产、个人特征和胎膜早破,超过一半参与者出现的编码是宫颈短、对早产的恐惧、对胎儿健康的担忧、睡眠困难、配偶和信息支持不足以及身体困难。前六个临床症状表现是压力、羊水过多、假临产、对胎儿健康的担忧、真临产疼痛和子宫收缩。“压力”在出现频率方面排名第一,“子宫收缩”具有个体特征。

结论

对早产女性叙述的文本网络分析得出了九个早产组成部分和六个临床症状表现。在制定可靠有效的早产风险和压力量表时应纳入这九个组成部分。这些临床症状表现可用于评估早产,也可作为女性健康护理实习学生的策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a97/9328584/24b4d0e3b0e7/kjwhn-2020-08-08f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a97/9328584/2ff55a7b0421/kjwhn-2020-08-08f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a97/9328584/66123ddea593/kjwhn-2020-08-08f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a97/9328584/24b4d0e3b0e7/kjwhn-2020-08-08f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a97/9328584/2ff55a7b0421/kjwhn-2020-08-08f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a97/9328584/66123ddea593/kjwhn-2020-08-08f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a97/9328584/24b4d0e3b0e7/kjwhn-2020-08-08f3.jpg

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Risk Factors for Premature Birth among Premature Obstetric Labor Women: A Prospective Cohort Study.
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Stress, Coping Style and Nursing Needs for Hospitalized Pregnant Women due to Preterm Labor.早产导致住院的孕妇的压力、应对方式及护理需求
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