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Knowledge and Attitudes towards Epidural Analgesia among Women of Childbearing Age in Jazan, Saudi Arabia: A Community-Based Cross-Sectional Study to Identify Predictors through Multivariate Modeling
Epidural analgesia (EA) is a central nerve blockade technique. It is linked to a significant reduction of labor pain and side effects. This study was designed to investigate the knowledge and attitudes towards EA among women of childbearing age (18–45 years) in Jazan, Saudi Arabia, and identify pred...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9956961/ https://www.ncbi.nlm.nih.gov/pubmed/36833160 http://dx.doi.org/10.3390/healthcare11040626 |
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author | Babiker, Yasir Osman Hassan Najmi, Muhannad Hussain Shawkan Muslihi, Ibrahim Mohammed A. Amri, Ali Fathuldeen Mohammed Magafi, Tariq Yahya Mohammed Alughbi, Wail Mohammad Hadi Bashir, Mohammad Refah A Alsharif, Ali Nasser Ahmed Ahmedand, Anas Elyas Abdelwahab, Siddig Ibrahim |
author_facet | Babiker, Yasir Osman Hassan Najmi, Muhannad Hussain Shawkan Muslihi, Ibrahim Mohammed A. Amri, Ali Fathuldeen Mohammed Magafi, Tariq Yahya Mohammed Alughbi, Wail Mohammad Hadi Bashir, Mohammad Refah A Alsharif, Ali Nasser Ahmed Ahmedand, Anas Elyas Abdelwahab, Siddig Ibrahim |
author_sort | Babiker, Yasir Osman Hassan |
collection | PubMed |
description | Epidural analgesia (EA) is a central nerve blockade technique. It is linked to a significant reduction of labor pain and side effects. This study was designed to investigate the knowledge and attitudes towards EA among women of childbearing age (18–45 years) in Jazan, Saudi Arabia, and identify predictors through multivariate modeling. A random sampling technique (n = 680) was used for this cross-sectional, self-administered survey. A previously validated online questionnaire was distributed. After establishing a P value of less than 0.05 to denote statistical significance, SPSS was used to examine the data using descriptive analysis, the chi-square test of homogeneity, and multivariate logistic regression. Six hundred and eighty women were studied. Over 75% of the participants were university educated; less than half (46.3%) were 21–30 years old, students (42.2%), and had never been pregnant (49%). The previous mothers who had never had EA labor accounted for 64.6% (n = 347, 51.0%). “Family/friends” (39%), followed by “internet” (32%), were the most common sources of EA information. Those who correctly defined the EA accounted for 61.8%. Those who reported weak or no contractions after EA accounted for 32.2%. Those who said EA insertion hurt more than labor did accounted for 56.3%. Those women who said one should give consent to EA accounted for 83.1%. Those who believe EA is safe for the baby accounted for 50.1%. Those who knew about EA complications accounted for 24.34%. According to multivariate modeling, attitude score plays a significant role in determining the participant’s knowledge level. This study found that childbearing women know a little about EA. Attitudes affected this knowledge level, and demographics did not. Cognitive intervention is needed to change these attitudes and spread EA-related knowledge. |
format | Online Article Text |
id | pubmed-9956961 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-99569612023-02-25 Knowledge and Attitudes towards Epidural Analgesia among Women of Childbearing Age in Jazan, Saudi Arabia: A Community-Based Cross-Sectional Study to Identify Predictors through Multivariate Modeling Babiker, Yasir Osman Hassan Najmi, Muhannad Hussain Shawkan Muslihi, Ibrahim Mohammed A. Amri, Ali Fathuldeen Mohammed Magafi, Tariq Yahya Mohammed Alughbi, Wail Mohammad Hadi Bashir, Mohammad Refah A Alsharif, Ali Nasser Ahmed Ahmedand, Anas Elyas Abdelwahab, Siddig Ibrahim Healthcare (Basel) Article Epidural analgesia (EA) is a central nerve blockade technique. It is linked to a significant reduction of labor pain and side effects. This study was designed to investigate the knowledge and attitudes towards EA among women of childbearing age (18–45 years) in Jazan, Saudi Arabia, and identify predictors through multivariate modeling. A random sampling technique (n = 680) was used for this cross-sectional, self-administered survey. A previously validated online questionnaire was distributed. After establishing a P value of less than 0.05 to denote statistical significance, SPSS was used to examine the data using descriptive analysis, the chi-square test of homogeneity, and multivariate logistic regression. Six hundred and eighty women were studied. Over 75% of the participants were university educated; less than half (46.3%) were 21–30 years old, students (42.2%), and had never been pregnant (49%). The previous mothers who had never had EA labor accounted for 64.6% (n = 347, 51.0%). “Family/friends” (39%), followed by “internet” (32%), were the most common sources of EA information. Those who correctly defined the EA accounted for 61.8%. Those who reported weak or no contractions after EA accounted for 32.2%. Those who said EA insertion hurt more than labor did accounted for 56.3%. Those women who said one should give consent to EA accounted for 83.1%. Those who believe EA is safe for the baby accounted for 50.1%. Those who knew about EA complications accounted for 24.34%. According to multivariate modeling, attitude score plays a significant role in determining the participant’s knowledge level. This study found that childbearing women know a little about EA. Attitudes affected this knowledge level, and demographics did not. Cognitive intervention is needed to change these attitudes and spread EA-related knowledge. MDPI 2023-02-20 /pmc/articles/PMC9956961/ /pubmed/36833160 http://dx.doi.org/10.3390/healthcare11040626 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Babiker, Yasir Osman Hassan Najmi, Muhannad Hussain Shawkan Muslihi, Ibrahim Mohammed A. Amri, Ali Fathuldeen Mohammed Magafi, Tariq Yahya Mohammed Alughbi, Wail Mohammad Hadi Bashir, Mohammad Refah A Alsharif, Ali Nasser Ahmed Ahmedand, Anas Elyas Abdelwahab, Siddig Ibrahim Knowledge and Attitudes towards Epidural Analgesia among Women of Childbearing Age in Jazan, Saudi Arabia: A Community-Based Cross-Sectional Study to Identify Predictors through Multivariate Modeling |
title | Knowledge and Attitudes towards Epidural Analgesia among Women of Childbearing Age in Jazan, Saudi Arabia: A Community-Based Cross-Sectional Study to Identify Predictors through Multivariate Modeling |
title_full | Knowledge and Attitudes towards Epidural Analgesia among Women of Childbearing Age in Jazan, Saudi Arabia: A Community-Based Cross-Sectional Study to Identify Predictors through Multivariate Modeling |
title_fullStr | Knowledge and Attitudes towards Epidural Analgesia among Women of Childbearing Age in Jazan, Saudi Arabia: A Community-Based Cross-Sectional Study to Identify Predictors through Multivariate Modeling |
title_full_unstemmed | Knowledge and Attitudes towards Epidural Analgesia among Women of Childbearing Age in Jazan, Saudi Arabia: A Community-Based Cross-Sectional Study to Identify Predictors through Multivariate Modeling |
title_short | Knowledge and Attitudes towards Epidural Analgesia among Women of Childbearing Age in Jazan, Saudi Arabia: A Community-Based Cross-Sectional Study to Identify Predictors through Multivariate Modeling |
title_sort | knowledge and attitudes towards epidural analgesia among women of childbearing age in jazan, saudi arabia: a community-based cross-sectional study to identify predictors through multivariate modeling |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9956961/ https://www.ncbi.nlm.nih.gov/pubmed/36833160 http://dx.doi.org/10.3390/healthcare11040626 |
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