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Reactive, Holistic, Proactive: Practical Applications of the AAIM Learning and Working Environment Conceptual Model.反应性、整体性、前瞻性:AAIM学习与工作环境概念模型的实际应用
Am J Med. 2019 Aug;132(8):995-1000. doi: 10.1016/j.amjmed.2019.04.004. Epub 2019 May 1.
2
Nested Domains: A Global Conceptual Model for Optimizing the Clinical Learning Environment.嵌套领域:优化临床学习环境的全球概念模型。
Am J Med. 2019 Jul;132(7):886-891. doi: 10.1016/j.amjmed.2019.03.019. Epub 2019 Apr 3.
3
Cursed by Knowledge - Building a Culture of Psychological Safety.知识之祸——构建心理安全文化
N Engl J Med. 2019 Feb 21;380(8):786-790. doi: 10.1056/NEJMms1813429.
4
Means : Residents' Overlapping Responses to Vague Quantifiers on the ACGME-I Resident Survey.含义:住院医师对毕业后医学教育认证委员会住院医师调查中模糊量词的重叠反应。
J Grad Med Educ. 2017 Dec;9(6):735-740. doi: 10.4300/JGME-D-17-00187.1.
5
Lies, Damned Lies, and Surveys.谎言、该死的谎言与调查。
J Grad Med Educ. 2017 Dec;9(6):677-679. doi: 10.4300/JGME-D-17-00698.1.
6
Psychological Safety Among Learners: When Connection Is More Than Just Communication.学习者中的心理安全感:当联系不仅仅是交流时。
J Grad Med Educ. 2017 Aug;9(4):538-539. doi: 10.4300/JGME-D-17-00195.1.
7
Medicine as a Community of Practice: Implications for Medical Education.作为实践共同体的医学:对医学教育的启示
Acad Med. 2018 Feb;93(2):185-191. doi: 10.1097/ACM.0000000000001826.
8
The Ethics of Ambiguity: Rethinking the Role and Importance of Uncertainty in Medical Education and Practice.《模糊性的伦理:重新思考不确定性在医学教育与实践中的作用及重要性》
Acad Pathol. 2016 Jun 16;3:2374289516654712. doi: 10.1177/2374289516654712. eCollection 2016 Jan-Dec.
9
Tolerance of uncertainty: Conceptual analysis, integrative model, and implications for healthcare.不确定性耐受性:概念分析、整合模型及对医疗保健的启示
Soc Sci Med. 2017 May;180:62-75. doi: 10.1016/j.socscimed.2017.03.024. Epub 2017 Mar 14.
10
Risky Business: Psychological Safety and the Risks of Learning Medicine.风险行为:心理安全感与医学学习的风险
J Grad Med Educ. 2016 Dec;8(5):780-782. doi: 10.4300/JGME-D-16-00549.1.

校准偏差与临床学习环境感知调查的解读

Calibration Bias and the Interpretation of Clinical Learning Environment Perceptions Surveys.

作者信息

Deemer David A, Byrne John M, Loo Lawrence K, Puder David, Torralba Karina D, Lee Sonny C, Kashner T Michael

机构信息

Student, Loma Linda University School of Medicine.

Associate Chief of Staff for Education and Informatics, VA Loma Linda Healthcare System.

出版信息

J Grad Med Educ. 2020 Dec;12(6):727-736. doi: 10.4300/JGME-D-20-00237.1. Epub 2020 Dec 8.

DOI:10.4300/JGME-D-20-00237.1
PMID:33391597
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7771586/
Abstract

BACKGROUND

The clinical learning environment (CLE) is frequently assessed using perceptions surveys, such as the AAMC Graduation Questionnaire and ACGME Resident/Fellow Survey. However, these survey responses often capture subjective factors not directly related to the trainee's CLE experiences.

OBJECTIVE

The authors aimed to assess these subjective factors as "calibration bias" and show how it varies by health professions education discipline, and co-varies by program, patient-mix, and trainee factors.

METHODS

We measured calibration bias using 2011-2017 US Department of Veterans Affairs (VA) Learners' Perceptions Survey data to compare medical students and physician residents and fellows (n = 32 830) with nursing (n = 29 758) and allied and associated health (n = 27 092) trainees.

RESULTS

Compared to their physician counterparts, nursing trainees (OR 1.31, 95% CI 1.22-1.40) and allied/associated health trainees (1.18, 1.12-1.24) tended to overrate their CLE experiences. Across disciplines, respondents tended to overrate CLEs when reporting 1 higher level (of 5) of psychological safety (3.62, 3.52-3.73), 1 SD more time in the CLE (1.05, 1.04-1.07), female gender (1.13, 1.10-1.16), 1 of 7 lower academic level (0.95, 1.04-1.07), and having seen the lowest tercile of patients for their respective discipline who lacked social support (1.16, 1.12-1.21) and had low income (1.05, 1.01-1.09), co-occurring addictions (1.06, 1.02-1.10), and mental illness (1.06, 1.02-1.10).

CONCLUSIONS

Accounting for calibration bias when using perception survey scores is important to better understand physician trainees and the complex clinical learning environments in which they train.

摘要

背景

临床学习环境(CLE)通常使用认知调查进行评估,如美国医学院协会毕业调查问卷和美国毕业后医学教育认证委员会住院医师/研究员调查问卷。然而,这些调查反馈往往包含与受训者临床学习环境经历无直接关联的主观因素。

目的

作者旨在将这些主观因素评估为“校准偏差”,并展示其如何因卫生专业教育学科而异,以及如何因项目、患者组合和受训者因素而共同变化。

方法

我们使用2011 - 2017年美国退伍军人事务部(VA)学习者认知调查数据来测量校准偏差,以比较医学生、医师住院医师和研究员(n = 32830)与护理专业(n = 29758)以及联合健康和相关健康专业(n = 27092)的受训者。

结果

与医师同行相比,护理专业受训者(比值比1.31,95%置信区间1.22 - 1.40)和联合健康/相关健康专业受训者(1.18,1.12 - 1.24)往往高估他们的临床学习环境经历。在各个学科中,当报告心理安全水平较高(5级中的1级)(3.62,3.52 - 3.73)、在临床学习环境中的时间多1个标准差(1.05,1.04 - 1.07)、女性(1.13,1.10 - 1.16)、学术水平较低(7级中的1级)(0.95,1.04 - 1.07),以及见到各自学科中缺乏社会支持(1.16,1.12 - 1.21)、低收入(1.05,1.01 - 1.09)、同时患有成瘾问题(1.06,1.02 - 1.10)和精神疾病(1.06,1.02 - 1.10)的患者处于最低三分位数时,受访者往往高估临床学习环境。

结论

在使用认知调查分数时考虑校准偏差,对于更好地理解医师受训者及其培训所处的复杂临床学习环境很重要。