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A virtual simulation-based training program on birthing positions: a randomized controlled trial

BACKGROUND: Restricting parturient women in healthcare facilities from choosing positions that provide the greatest comfort and benefit during labor is a global barrier. Several complex factors, including caregiver preference and medical intervention, shape the limitation. Therefore, a practical nee...

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Autores principales: Lin, Huimin, Liu, Guihua, Wang, Xiaoyan, Xu, Qin, Guo, Shengbin, Hu, Rongfang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10503076/
https://www.ncbi.nlm.nih.gov/pubmed/37715171
http://dx.doi.org/10.1186/s12912-023-01491-7
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author Lin, Huimin
Liu, Guihua
Wang, Xiaoyan
Xu, Qin
Guo, Shengbin
Hu, Rongfang
author_facet Lin, Huimin
Liu, Guihua
Wang, Xiaoyan
Xu, Qin
Guo, Shengbin
Hu, Rongfang
author_sort Lin, Huimin
collection PubMed
description BACKGROUND: Restricting parturient women in healthcare facilities from choosing positions that provide the greatest comfort and benefit during labor is a global barrier. Several complex factors, including caregiver preference and medical intervention, shape the limitation. Therefore, a practical need exists to train midwives on the knowledge and skills to change this condition. METHODS: The study used a parallel, single-blind, randomized controlled trial at a provincial maternity and child health hospital in Fujian, China, from June 1 to December 31, 2019. The midwives in a birth suite were selected and randomly enrolled in a one-month simulation-based hybrid training or face-to-face teaching in September 2019. The four-level Kirkpatrick’s model, including reaction, learning, behavior, and results, was used to evaluate training effects before and after the program. Data were analyzed with SPSS 25.0 using Student’s t-test, Spearman’s correlation test, Mann–Whitney U test, Wilcoxon signed-rank test, and chi-square test analysis of variance. The significance level was set at p < 0.05. RESULTS: Forty-two midwives were initially randomized to either the virtual simulation group or the face-to-face group. One midwife was excluded from the analysis due to intervention discontinuation, resulting in a final analysis of 41 midwives (n1 = 21, n2 = 20). Post-intervention, the virtual simulation group exhibited higher satisfaction and learning effects compared to the face-to-face group, while the rate of perineal incision in primiparas was lower (p<0.05). No significant changes or differences were observed in self-rated behavior between the two groups (p>0.05). The virtual simulation group demonstrated an increase in non-supine birth rate (p = 0.030) and a decrease in perineal incision rate among primiparas compared to pre-intervention (p = 0.035). Moreover, knowledge performance was associated with the duration of virtual simulation (r = 0.664, p = 0.001). CONCLUSIONS: Virtual simulation is a fascinating innovation that enables midwives to develop birthing positions without practicing on real pregnant women and is one solution to achieve work competency within a shortened training period.
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spelling pubmed-105030762023-09-16 A virtual simulation-based training program on birthing positions: a randomized controlled trial Lin, Huimin Liu, Guihua Wang, Xiaoyan Xu, Qin Guo, Shengbin Hu, Rongfang BMC Nurs Research BACKGROUND: Restricting parturient women in healthcare facilities from choosing positions that provide the greatest comfort and benefit during labor is a global barrier. Several complex factors, including caregiver preference and medical intervention, shape the limitation. Therefore, a practical need exists to train midwives on the knowledge and skills to change this condition. METHODS: The study used a parallel, single-blind, randomized controlled trial at a provincial maternity and child health hospital in Fujian, China, from June 1 to December 31, 2019. The midwives in a birth suite were selected and randomly enrolled in a one-month simulation-based hybrid training or face-to-face teaching in September 2019. The four-level Kirkpatrick’s model, including reaction, learning, behavior, and results, was used to evaluate training effects before and after the program. Data were analyzed with SPSS 25.0 using Student’s t-test, Spearman’s correlation test, Mann–Whitney U test, Wilcoxon signed-rank test, and chi-square test analysis of variance. The significance level was set at p < 0.05. RESULTS: Forty-two midwives were initially randomized to either the virtual simulation group or the face-to-face group. One midwife was excluded from the analysis due to intervention discontinuation, resulting in a final analysis of 41 midwives (n1 = 21, n2 = 20). Post-intervention, the virtual simulation group exhibited higher satisfaction and learning effects compared to the face-to-face group, while the rate of perineal incision in primiparas was lower (p<0.05). No significant changes or differences were observed in self-rated behavior between the two groups (p>0.05). The virtual simulation group demonstrated an increase in non-supine birth rate (p = 0.030) and a decrease in perineal incision rate among primiparas compared to pre-intervention (p = 0.035). Moreover, knowledge performance was associated with the duration of virtual simulation (r = 0.664, p = 0.001). CONCLUSIONS: Virtual simulation is a fascinating innovation that enables midwives to develop birthing positions without practicing on real pregnant women and is one solution to achieve work competency within a shortened training period. BioMed Central 2023-09-15 /pmc/articles/PMC10503076/ /pubmed/37715171 http://dx.doi.org/10.1186/s12912-023-01491-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Lin, Huimin
Liu, Guihua
Wang, Xiaoyan
Xu, Qin
Guo, Shengbin
Hu, Rongfang
A virtual simulation-based training program on birthing positions: a randomized controlled trial
title A virtual simulation-based training program on birthing positions: a randomized controlled trial
title_full A virtual simulation-based training program on birthing positions: a randomized controlled trial
title_fullStr A virtual simulation-based training program on birthing positions: a randomized controlled trial
title_full_unstemmed A virtual simulation-based training program on birthing positions: a randomized controlled trial
title_short A virtual simulation-based training program on birthing positions: a randomized controlled trial
title_sort virtual simulation-based training program on birthing positions: a randomized controlled trial
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10503076/
https://www.ncbi.nlm.nih.gov/pubmed/37715171
http://dx.doi.org/10.1186/s12912-023-01491-7
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