Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
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
_version_ 1784894708028276736
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
work_keys_str_mv AT babikeryasirosmanhassan knowledgeandattitudestowardsepiduralanalgesiaamongwomenofchildbearingageinjazansaudiarabiaacommunitybasedcrosssectionalstudytoidentifypredictorsthroughmultivariatemodeling
AT najmimuhannadhussainshawkan knowledgeandattitudestowardsepiduralanalgesiaamongwomenofchildbearingageinjazansaudiarabiaacommunitybasedcrosssectionalstudytoidentifypredictorsthroughmultivariatemodeling
AT muslihiibrahimmohammeda knowledgeandattitudestowardsepiduralanalgesiaamongwomenofchildbearingageinjazansaudiarabiaacommunitybasedcrosssectionalstudytoidentifypredictorsthroughmultivariatemodeling
AT amrialifathuldeenmohammed knowledgeandattitudestowardsepiduralanalgesiaamongwomenofchildbearingageinjazansaudiarabiaacommunitybasedcrosssectionalstudytoidentifypredictorsthroughmultivariatemodeling
AT magafitariqyahyamohammed knowledgeandattitudestowardsepiduralanalgesiaamongwomenofchildbearingageinjazansaudiarabiaacommunitybasedcrosssectionalstudytoidentifypredictorsthroughmultivariatemodeling
AT alughbiwailmohammadhadi knowledgeandattitudestowardsepiduralanalgesiaamongwomenofchildbearingageinjazansaudiarabiaacommunitybasedcrosssectionalstudytoidentifypredictorsthroughmultivariatemodeling
AT bashirmohammadrefaha knowledgeandattitudestowardsepiduralanalgesiaamongwomenofchildbearingageinjazansaudiarabiaacommunitybasedcrosssectionalstudytoidentifypredictorsthroughmultivariatemodeling
AT alsharifalinasserahmed knowledgeandattitudestowardsepiduralanalgesiaamongwomenofchildbearingageinjazansaudiarabiaacommunitybasedcrosssectionalstudytoidentifypredictorsthroughmultivariatemodeling
AT ahmedandanaselyas knowledgeandattitudestowardsepiduralanalgesiaamongwomenofchildbearingageinjazansaudiarabiaacommunitybasedcrosssectionalstudytoidentifypredictorsthroughmultivariatemodeling
AT abdelwahabsiddigibrahim knowledgeandattitudestowardsepiduralanalgesiaamongwomenofchildbearingageinjazansaudiarabiaacommunitybasedcrosssectionalstudytoidentifypredictorsthroughmultivariatemodeling