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Published online: 2024-03-26
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Natural childbirth and cesarean section — descriptive analysis of queries in Google search engine

Agata Michalska1, Katarzyna Niechcial2, Robert Niechcial2, Daniel P. Wolder3, Aleksandra Gładys-Jakubczyk1, Karol Bielasik4, Grzegorz Swiercz3
·
Pubmed: 38632881
Affiliations
  1. Collegium Medicum, Jan Kochanowski University of Kielce, Poland
  2. Vestigo, Poland
  3. Clinic of Obstetrics and Gynecology, Regional Specialist Hospital, Kielce, Poland
  4. Provincial Hospital Center, Jelenia Gora, Poland

open access

Ahead of Print
ORIGINAL PAPERS Obstetrics
Published online: 2024-03-26

Abstract

Objectives: The use of internet-based search engines for health information is very popular and common. The Internet has become an important source of health information and has a considerable impact on patient’s decision making process. Knowledge of pregnant women about childbirth comes from health professionals and personal experiences described by friends or family members. There is a growing interest in digital sources used by pregnant women. Analysis of queries related to regarding to natural childbirth and cesarean section in the Google search engine. Material and methods: In this infodemiology, descriptive study tool “AlsoAsked” was used. This is a tool for analyzing data appearing in Google search results. “AlsoAsked” search was conducted on April 19, 2023. Search phrases “natural childbirth” and “cesarean section” in polish language were used. Questions that were typed into the Google search engine, ranked according to popularity (volume) and thematic connections have been discussed. Results: The most frequently asked questions were related to the course and duration of labor as well as the preparation for labor and cesarean section (CS). Comparison between a natural labour and CS in the context of safety and pain received a great deal of attention. Conclusions: The most popular questions regarding CS were related to elective CS and indications for it. Some questions concerned the connection between labor and clinical state of a newborn.

Abstract

Objectives: The use of internet-based search engines for health information is very popular and common. The Internet has become an important source of health information and has a considerable impact on patient’s decision making process. Knowledge of pregnant women about childbirth comes from health professionals and personal experiences described by friends or family members. There is a growing interest in digital sources used by pregnant women. Analysis of queries related to regarding to natural childbirth and cesarean section in the Google search engine. Material and methods: In this infodemiology, descriptive study tool “AlsoAsked” was used. This is a tool for analyzing data appearing in Google search results. “AlsoAsked” search was conducted on April 19, 2023. Search phrases “natural childbirth” and “cesarean section” in polish language were used. Questions that were typed into the Google search engine, ranked according to popularity (volume) and thematic connections have been discussed. Results: The most frequently asked questions were related to the course and duration of labor as well as the preparation for labor and cesarean section (CS). Comparison between a natural labour and CS in the context of safety and pain received a great deal of attention. Conclusions: The most popular questions regarding CS were related to elective CS and indications for it. Some questions concerned the connection between labor and clinical state of a newborn.

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Keywords

natural childbirth; cesarean section; infodemiology

About this article
Title

Natural childbirth and cesarean section — descriptive analysis of queries in Google search engine

Journal

Ginekologia Polska

Issue

Ahead of Print

Article type

Research paper

Published online

2024-03-26

Page views

96

Article views/downloads

60

DOI

10.5603/gpl.97654

Pubmed

38632881

Keywords

natural childbirth
cesarean section
infodemiology

Authors

Agata Michalska
Katarzyna Niechcial
Robert Niechcial
Daniel P. Wolder
Aleksandra Gładys-Jakubczyk
Karol Bielasik
Grzegorz Swiercz

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