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Clinical Reasoning in the Primary Care Setting: Two Scenario-Based Simulations for Residents and Attendings

INTRODUCTION: We describe the development and implementation of tools medical educators or researchers can use for developing or analyzing residents' through attending physicians' clinical reasoning in an outpatient clinic setting. The resource includes two scenario-based simulations (i.e....

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Autores principales: Battista, Alexis, Konopasky, Abigail, Ramani, Divya, Ohmer, Megan, Mikita, Jeffrey, Howle, Anna, Krajnik, Sarah, Torre, Dario, Durning, Steven J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Association of American Medical Colleges 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6346281/
https://www.ncbi.nlm.nih.gov/pubmed/30800973
http://dx.doi.org/10.15766/mep_2374-8265.10773
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author Battista, Alexis
Konopasky, Abigail
Ramani, Divya
Ohmer, Megan
Mikita, Jeffrey
Howle, Anna
Krajnik, Sarah
Torre, Dario
Durning, Steven J.
author_facet Battista, Alexis
Konopasky, Abigail
Ramani, Divya
Ohmer, Megan
Mikita, Jeffrey
Howle, Anna
Krajnik, Sarah
Torre, Dario
Durning, Steven J.
author_sort Battista, Alexis
collection PubMed
description INTRODUCTION: We describe the development and implementation of tools medical educators or researchers can use for developing or analyzing residents' through attending physicians' clinical reasoning in an outpatient clinic setting. The resource includes two scenario-based simulations (i.e., diabetes, angina), implementation support materials, an open-ended postencounter form, and a think-aloud reflection protocol. METHOD: We designed two scenarios with potential case ambiguity and contextual factors to add complexity for studying clinical reasoning. The scenarios are designed to be used prior to an open-ended written exercise and a think-aloud reflection to elicit reasoning and reflection. We report on their implementation in a research context but developed them to be used in both educational and research settings. RESULTS: Twelve physicians (five interns, three residents, and four attendings) considered between three and six differential diagnoses (M = 4.0) for the diabetes scenario and between three and nine differentials (M = 4.3) for angina. In think-aloud reflections, participants reconsidered their thinking between zero and 14 times (M = 3.5) for diabetes and zero and 11 times (M = 3.3) for angina. Cognitive load scores ranged from 4 to 8 (out of 10; M = 6.2) for diabetes and 5 to 8 (M = 6.6) for angina. Participants rated scenario authenticity between 4 and 5 (out of 5). DISCUSSION: The potential case content ambiguity, along with the contextual factors (e.g., patient suggesting alternative diagnoses), provides a complex environment in which to explore or teach clinical reasoning.
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spelling pubmed-63462812019-02-22 Clinical Reasoning in the Primary Care Setting: Two Scenario-Based Simulations for Residents and Attendings Battista, Alexis Konopasky, Abigail Ramani, Divya Ohmer, Megan Mikita, Jeffrey Howle, Anna Krajnik, Sarah Torre, Dario Durning, Steven J. MedEdPORTAL Original Publication INTRODUCTION: We describe the development and implementation of tools medical educators or researchers can use for developing or analyzing residents' through attending physicians' clinical reasoning in an outpatient clinic setting. The resource includes two scenario-based simulations (i.e., diabetes, angina), implementation support materials, an open-ended postencounter form, and a think-aloud reflection protocol. METHOD: We designed two scenarios with potential case ambiguity and contextual factors to add complexity for studying clinical reasoning. The scenarios are designed to be used prior to an open-ended written exercise and a think-aloud reflection to elicit reasoning and reflection. We report on their implementation in a research context but developed them to be used in both educational and research settings. RESULTS: Twelve physicians (five interns, three residents, and four attendings) considered between three and six differential diagnoses (M = 4.0) for the diabetes scenario and between three and nine differentials (M = 4.3) for angina. In think-aloud reflections, participants reconsidered their thinking between zero and 14 times (M = 3.5) for diabetes and zero and 11 times (M = 3.3) for angina. Cognitive load scores ranged from 4 to 8 (out of 10; M = 6.2) for diabetes and 5 to 8 (M = 6.6) for angina. Participants rated scenario authenticity between 4 and 5 (out of 5). DISCUSSION: The potential case content ambiguity, along with the contextual factors (e.g., patient suggesting alternative diagnoses), provides a complex environment in which to explore or teach clinical reasoning. Association of American Medical Colleges 2018-11-16 /pmc/articles/PMC6346281/ /pubmed/30800973 http://dx.doi.org/10.15766/mep_2374-8265.10773 Text en Copyright © 2018 Battista et al. https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode This is an open-access publication distributed under the terms of the Creative Commons Attribution-NonCommercial-Share Alike (https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode) license.
spellingShingle Original Publication
Battista, Alexis
Konopasky, Abigail
Ramani, Divya
Ohmer, Megan
Mikita, Jeffrey
Howle, Anna
Krajnik, Sarah
Torre, Dario
Durning, Steven J.
Clinical Reasoning in the Primary Care Setting: Two Scenario-Based Simulations for Residents and Attendings
title Clinical Reasoning in the Primary Care Setting: Two Scenario-Based Simulations for Residents and Attendings
title_full Clinical Reasoning in the Primary Care Setting: Two Scenario-Based Simulations for Residents and Attendings
title_fullStr Clinical Reasoning in the Primary Care Setting: Two Scenario-Based Simulations for Residents and Attendings
title_full_unstemmed Clinical Reasoning in the Primary Care Setting: Two Scenario-Based Simulations for Residents and Attendings
title_short Clinical Reasoning in the Primary Care Setting: Two Scenario-Based Simulations for Residents and Attendings
title_sort clinical reasoning in the primary care setting: two scenario-based simulations for residents and attendings
topic Original Publication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6346281/
https://www.ncbi.nlm.nih.gov/pubmed/30800973
http://dx.doi.org/10.15766/mep_2374-8265.10773
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