Evidence for a case-based module in the low-resource setting to teach ectopic pregnancy management

IF 0.6 Q4 SURGERY Surgery in practice and science Pub Date : 2023-09-01 DOI:10.1016/j.sipas.2023.100209
Isabel J. Hsu , Jayna Lenders , Mikaelah A. Johnson-Griggs , Hallie Gist , Neil Vaishampayan , Yoonhee Ryder , Joy Obayemi , Phillip J. Hsu , David Jeffcoach , Melanie Barnard , Muse Freneh , Mark Snell , Deborah M. Rooney , Grace J. Kim
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Abstract

Introduction

Case-based learning (CBL) utilizes authentic clinical cases that connect theory to practice. CBL has been shown to result in deeper learning and high engagement of adult learners. An open-source, web-based CBL module was created to help learners develop the cognitive foundation of ectopic pregnancy management in the low-resource setting. We present psychometric evidence that supports the use of this web-based CBL in the low-resource setting.

Methods

The case scenario comprising 20 topics in ectopic pregnancy management was created by an Ethiopian team member and hosted on an interactive web-based platform. The module was reviewed by Ethiopian, Cameroonian, and US surgeons and OB/GYN team members for content, relevance, and clarity, followed by a psychometrician for clarity, bias, relevance, and alignment. Twenty participants (3-Mbingo Baptist Hospital-Cameroon, 6-Soddo Christian Hospital-Ethiopia, 3-Southern Illinois University (SIU), and 8-University of Michigan (UM)) then completed the module. Four attending surgeons (2 OB/GYN, 2 general surgery) were designated experts while 10 medical students and 6 residents were designated novices. The module included a 10-item dichotomously scored pre-test, the CBL content, and the same, but shuffled, post-test. Pre- and post-test summed scores were compared using paired Student's t-tests, while differences in scores across participants' experience levels and sites were analyzed using a many-facet Rasch model.

Results

Findings indicated a statistically significant improvement in participants’ mean summed scores from pre-test (M = 6.7, SD = 2.2) to post-test (M = 9.0, SD = 1.5), t(20) = – 4.76, P < 0.0001 and confirmed by Rasch analysis, P < 0.001. An adequate distribution of difficulty was demonstrated and 80% of questions had high discrimination value between experts and novices, d = | 0.87, 1.40 |. There was no difference in scores across specialties. Following the module, expert scores (M = 9.7) were higher than novice scores (M = 9.0), but the difference was not statistically significant.

Conclusion

Our findings suggest that using a web-based CBL module could be used to effectively improve understanding of the management of ectopic pregnancy in the low-resource setting, especially for nascent surgeons. The concept of a web-based CBL module has special attraction in the low-resource setting as it may target the adult surgical learner in remote regions where established technologies and existing experts are unavailable.

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低资源环境下基于案例的模块用于教授异位妊娠管理的证据
基于案例的学习(CBL)利用真实的临床案例,将理论与实践联系起来。CBL已被证明可以导致成人学习者的深度学习和高参与度。一个开源的、基于网络的CBL模块被创建,以帮助学习者在低资源环境下发展异位妊娠管理的认知基础。我们提出了心理测量学证据,支持在资源匮乏的环境中使用这种基于网络的CBL。方法由埃塞俄比亚团队成员创建包含20个异位妊娠管理主题的案例场景,并在交互式网络平台上进行托管。该模块由埃塞俄比亚、喀麦隆和美国的外科医生和妇产科团队成员对内容、相关性和清晰度进行了审查,随后由心理测量师对清晰度、偏见、相关性和一致性进行了审查。20名参与者(3-喀麦隆mbingo浸信会医院、6-埃塞俄比亚soddo基督教医院、3-南伊利诺伊大学和8-密歇根大学)随后完成了该模块。4名主治医师(妇产科2名,普外科2名)被指定为专家,10名医学生和6名住院医师被指定为新手。该模块包括一个10项二分得分的前测,CBL内容,以及相同的,但洗牌的后测。使用配对学生t检验比较测试前和测试后的总得分,而使用多面Rasch模型分析参与者经验水平和地点的得分差异。结果研究结果显示,受试者的平均总分从测试前(M = 6.7, SD = 2.2)到测试后(M = 9.0, SD = 1.5)有统计学意义的改善,t(20) = - 4.76, P <0.0001,经Rasch分析,P <0.001. 难度分布充分,80%的问题在专家和新手之间具有较高的区分值,d = 0.87, 1.40。不同专业的得分没有差异。模块完成后,专家得分(M = 9.7)高于新手得分(M = 9.0),但差异无统计学意义。结论使用基于网络的CBL模块可以有效地提高对低资源环境下异位妊娠处理的认识,特别是对新生外科医生。基于网络的CBL模块的概念在资源匮乏的环境中具有特殊的吸引力,因为它可能针对无法获得成熟技术和现有专家的偏远地区的成人外科学习者。
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审稿时长
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