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

Visualization of unstructured personal narratives of perterm birth using text network analysis

Affiliations
  • 1School of Nursing, Soonchunhyang University College of Medicine, Cheonan, Korea

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 conditions, 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 when 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 health nursing practicum.

Keyword

Clinical presentation; data visualization; Personal narrative; Premature obstetric labor; 임상 표현, 자료 시각화; 개인 경험 이야기; 조기 진통

Figure

  • Figure 1. Components of segmented code-by-code matrix.

  • Figure 2. Frequency of segmented code-by-code matrix.

  • Figure 3. Word cloud of clinical symptoms expressions for preterm birth mothers; 40 words expressed at least three times (total, 323 words).


Cited by  1 articles

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Jeung-Im Kim
J Korean Soc Matern Child Health. 2022;26(3):171-182.    doi: 10.21896/jksmch.2022.26.3.171.


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