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Prediction of Birth Type Based on the Health Belief Model

Objective: To anticipate the type of childbirth according to the health belief model. Materials and methods: The present cross-sectional research was conducted on 222 primiparous women visiting the healthcare center in Khorram Abad. A combination of simple randomization and clustering was used to do...

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Autores principales: Dadipoor, Sakineh, Mehraban, Mitra, Aghamolaei, Teamur, Ramezankhani, Ali, Safari-Moradabadi, Ali
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Tehran University of Medical Sciences 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6045692/
https://www.ncbi.nlm.nih.gov/pubmed/30018653
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author Dadipoor, Sakineh
Mehraban, Mitra
Aghamolaei, Teamur
Ramezankhani, Ali
Safari-Moradabadi, Ali
author_facet Dadipoor, Sakineh
Mehraban, Mitra
Aghamolaei, Teamur
Ramezankhani, Ali
Safari-Moradabadi, Ali
author_sort Dadipoor, Sakineh
collection PubMed
description Objective: To anticipate the type of childbirth according to the health belief model. Materials and methods: The present cross-sectional research was conducted on 222 primiparous women visiting the healthcare center in Khorram Abad. A combination of simple randomization and clustering was used to do the sampling. The data collection instrument was a validated four-part questionnaire the first part of which contained demographic information. The second part was comprised of awareness questions while the third dealt with the constructs of the health belief model. The final part consisted of the behavioral intention derived from the logical action theory. SPSS 16 was used to statistically analyze the data and the significance level was set at p ˂ 0.05. Results: The average age of the participants was 27.40 ± 6.07 years. Intention to go for a vaginal birth showed to be significantly correlated with awareness, perceived sensitivity, intensity, barriers and benefits (p ˂ 0.001) as well as self-efficacy (p = 0.025). The best predictor of the type of childbirth turned out to be the perceived barriers (OR = 1.153, p ˂ 0.001) and only then awareness (OR = 1.108, p ˂ 0.001). Conclusion: Strategies to remove the barriers of preferring vaginal childbirth, raising women’s awareness of the side effects of C-section and the benefits of vaginal birth, strategies to enhance women’s beliefs in their capability of natural childbirth can be used to reduce the prevalence of unnecessary C-sections.
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spelling pubmed-60456922018-07-17 Prediction of Birth Type Based on the Health Belief Model Dadipoor, Sakineh Mehraban, Mitra Aghamolaei, Teamur Ramezankhani, Ali Safari-Moradabadi, Ali J Family Reprod Health Original Article Objective: To anticipate the type of childbirth according to the health belief model. Materials and methods: The present cross-sectional research was conducted on 222 primiparous women visiting the healthcare center in Khorram Abad. A combination of simple randomization and clustering was used to do the sampling. The data collection instrument was a validated four-part questionnaire the first part of which contained demographic information. The second part was comprised of awareness questions while the third dealt with the constructs of the health belief model. The final part consisted of the behavioral intention derived from the logical action theory. SPSS 16 was used to statistically analyze the data and the significance level was set at p ˂ 0.05. Results: The average age of the participants was 27.40 ± 6.07 years. Intention to go for a vaginal birth showed to be significantly correlated with awareness, perceived sensitivity, intensity, barriers and benefits (p ˂ 0.001) as well as self-efficacy (p = 0.025). The best predictor of the type of childbirth turned out to be the perceived barriers (OR = 1.153, p ˂ 0.001) and only then awareness (OR = 1.108, p ˂ 0.001). Conclusion: Strategies to remove the barriers of preferring vaginal childbirth, raising women’s awareness of the side effects of C-section and the benefits of vaginal birth, strategies to enhance women’s beliefs in their capability of natural childbirth can be used to reduce the prevalence of unnecessary C-sections. Tehran University of Medical Sciences 2017-09 /pmc/articles/PMC6045692/ /pubmed/30018653 Text en Copyright © Vali-e-Asr Reproductive Health Research Center, Tehran University of Medical Sciences This is an Open Access article distributed under the terms of the Creative Commons Attribution License, (http://creativecommons.org/licenses/by/3.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Dadipoor, Sakineh
Mehraban, Mitra
Aghamolaei, Teamur
Ramezankhani, Ali
Safari-Moradabadi, Ali
Prediction of Birth Type Based on the Health Belief Model
title Prediction of Birth Type Based on the Health Belief Model
title_full Prediction of Birth Type Based on the Health Belief Model
title_fullStr Prediction of Birth Type Based on the Health Belief Model
title_full_unstemmed Prediction of Birth Type Based on the Health Belief Model
title_short Prediction of Birth Type Based on the Health Belief Model
title_sort prediction of birth type based on the health belief model
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6045692/
https://www.ncbi.nlm.nih.gov/pubmed/30018653
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