BMC Nursing (Sep 2023)

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

  • Huimin Lin,
  • Guihua Liu,
  • Xiaoyan Wang,
  • Qin Xu,
  • Shengbin Guo,
  • Rongfang Hu

DOI
https://doi.org/10.1186/s12912-023-01491-7
Journal volume & issue
Vol. 22, no. 1
pp. 1 – 9

Abstract

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Abstract 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). 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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