{"title":"Use of augmented reality in learning lumbar spinal anatomy for training in labor epidural insertion: A pilot study","authors":"Wei Lau, J. Chan, C. Chan, Chin Tan, B. Sng","doi":"10.4103/bjoa.bjoa_75_23","DOIUrl":null,"url":null,"abstract":"Background: Augmented reality (AR) has gained importance, complementing teaching and learning in medicine. However, there is limited use of AR in anesthesia. We aimed to explore the usefulness of AR in learning spinal anatomy relevant to neuraxial needle insertion training in labor epidural analgesia with feedback from trainers and learners. Materials and Methods: A pilot study was conducted from January to March 2022 at a local specialist maternity hospital. Computer tomography images were obtained from an epidural mannequin trainer, reconstructed, and uploaded to an AR program loaded onto an AR device. Anesthetists with varying experiences utilized the AR program to evaluate the AR experience, with pre- and postuser surveys conducted. Results: Thirty-one participants were recruited with a mean (standard deviation) of 7.9 (6.2) years of anesthesia experience. Twenty-five (80.6%) were aware of AR applications, but most (80.6%) had no prior experience with AR-based learning. Using the Likert scale (1 being strongly disagree and 5 being strongly agree), the postuser survey showed median scores of ≥4 in all questions on AR-based learning. The majority (92%) agreed that the AR software should include functions for obtaining clear visualization of anatomy, rotating 3D structures, changing magnification, and selecting specific parts to focus on. Feedback also highlighted the need for familiarization and flexibility with manipulating holographic images and haptic device links for task training. Conclusions: Our study showed potential for AR in facilitating anatomy learning related to training in labor epidural insertion. Improvements through program flexibility and haptic device link could enhance task training.","PeriodicalId":8691,"journal":{"name":"Bali Journal of Anesthesiology","volume":"546 1","pages":"135 - 140"},"PeriodicalIF":0.0000,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bali Journal of Anesthesiology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4103/bjoa.bjoa_75_23","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Nursing","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Augmented reality (AR) has gained importance, complementing teaching and learning in medicine. However, there is limited use of AR in anesthesia. We aimed to explore the usefulness of AR in learning spinal anatomy relevant to neuraxial needle insertion training in labor epidural analgesia with feedback from trainers and learners. Materials and Methods: A pilot study was conducted from January to March 2022 at a local specialist maternity hospital. Computer tomography images were obtained from an epidural mannequin trainer, reconstructed, and uploaded to an AR program loaded onto an AR device. Anesthetists with varying experiences utilized the AR program to evaluate the AR experience, with pre- and postuser surveys conducted. Results: Thirty-one participants were recruited with a mean (standard deviation) of 7.9 (6.2) years of anesthesia experience. Twenty-five (80.6%) were aware of AR applications, but most (80.6%) had no prior experience with AR-based learning. Using the Likert scale (1 being strongly disagree and 5 being strongly agree), the postuser survey showed median scores of ≥4 in all questions on AR-based learning. The majority (92%) agreed that the AR software should include functions for obtaining clear visualization of anatomy, rotating 3D structures, changing magnification, and selecting specific parts to focus on. Feedback also highlighted the need for familiarization and flexibility with manipulating holographic images and haptic device links for task training. Conclusions: Our study showed potential for AR in facilitating anatomy learning related to training in labor epidural insertion. Improvements through program flexibility and haptic device link could enhance task training.
背景:增强现实技术(AR)在医学教学中发挥着重要作用。然而,AR 在麻醉领域的应用还很有限。我们旨在根据培训师和学员的反馈,探索 AR 在学习分娩硬膜外镇痛中神经针插入培训相关的脊柱解剖学方面的实用性。材料和方法:2022 年 1 月至 3 月,在当地一家专科妇产医院开展了一项试点研究。计算机断层扫描图像从硬膜外人体模型训练器中获取、重建并上传到 AR 设备上的 AR 程序中。具有不同经验的麻醉师利用AR程序对AR体验进行了评估,并进行了使用前和使用后调查。结果:共招募了 31 名参与者,平均(标准差)麻醉经验为 7.9(6.2)年。25人(80.6%)知道AR应用,但大多数人(80.6%)以前没有基于AR的学习经验。使用李克特量表(1 表示非常不同意,5 表示非常同意)进行的用户后期调查显示,在有关基于 AR 的学习的所有问题中,得分中位数均≥4。大多数人(92%)同意,AR 软件应包括获得清晰的可视化解剖结构、旋转三维结构、改变放大倍率和选择要关注的特定部位等功能。反馈意见还强调,需要熟悉并灵活操作全息图像和触觉设备链接,以便进行任务培训。结论:我们的研究显示了 AR 在促进与分娩硬膜外插入培训相关的解剖学习方面的潜力。通过程序灵活性和触觉设备链接进行改进,可加强任务培训。