Mastery learning program to teach sleep study scoring

睡眠研究评分教学精通学习计划

阅读:1

Abstract

STUDY OBJECTIVES: Scoring a polysomnogram is an essential skill for sleep medicine trainees to meet Accreditation Council for Graduate Medical Education Sleep Medicine Milestones. Appraisal is based on faculty evaluation rather than objective competency assessment. We developed a computer-based polysomnogram scoring curriculum, utilizing the mastery learning method, then compared achievement of competency using the new curriculum against standard institutional training. METHODS: The scoring program consisted of a pretest assessment, sequential acquisition of knowledge utilizing online modules, a posttest, and competency assessment. Fellows needed to demonstrate mastery of each module before moving ahead. Competency was demonstrating ≥ 90% on interscorer reliability assessment on 5 studies (out of up to 10 attempts). Participating fellows were assigned to Mastery Learning Participants (MLP) or Traditional Learning Participants (TLP) groups and completed the program within the first 1-3 months of training. RESULTS: Of 87 fellows enrolled in the program, 75 participants completed the program (40 MLP and 35 TLP). Among completers, there was no difference in the proportion that achieved competency (MLP 90.0% vs TLP 97.1%; P = .36) or studies needed to achieve competency (MLP 7.25 ± 1.3 vs TLP 7.41 ± 1.3; P = .60). Pretest scores were not significantly different between groups (MLP 61.2% ± 15.9 vs TLP 57.6% ± 16.6; P = .35), but MLP posttest scores were higher than TLP (MLP 80.9% ± 8.8 vs TLP 76.4% ± 9.8; P = .04). CONCLUSIONS: We demonstrated similar outcomes utilizing a novel, computer-based modular interactive course compared to traditional methods of teaching polysomnogram scoring. We used a mastery learning paradigm and set specific objective competency levels for this skill. CITATION: Epstein LJ, Plante DT, Rosen IM. Mastery learning program to teach sleep study scoring. J Clin Sleep Med. 2022;18(12):2745-2750.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。