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Career-computer simulation increases perceived importance of learning about rare diseases
BACKGROUND: Rare diseases may be defined as occurring in less than 1 in 2000 patients. Such conditions are, however, so numerous that up to 5.9% of the population is afflicted by a rare disease. The gambling industry attests that few people have native skill evaluating probabilities. We believe that...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8127215/ https://www.ncbi.nlm.nih.gov/pubmed/34001103 http://dx.doi.org/10.1186/s12909-021-02688-7 |
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author | Sarrafpour, Babak Hegde, Shwetha Delamare, Eduardo Weeks, Ruth Denham, Rebecca A. Thoeming, Alix Zoellner, Hans |
author_facet | Sarrafpour, Babak Hegde, Shwetha Delamare, Eduardo Weeks, Ruth Denham, Rebecca A. Thoeming, Alix Zoellner, Hans |
author_sort | Sarrafpour, Babak |
collection | PubMed |
description | BACKGROUND: Rare diseases may be defined as occurring in less than 1 in 2000 patients. Such conditions are, however, so numerous that up to 5.9% of the population is afflicted by a rare disease. The gambling industry attests that few people have native skill evaluating probabilities. We believe that both students and academics, under-estimate the likelihood of encountering rare diseases. This combines with pressure on curriculum time, to reduce both student interest in studying rare diseases, and academic content preparing students for clinical practice. Underestimation of rare diseases, may also contribute to unhelpful blindness to considering such conditions in the clinic. METHODS: We first developed a computer simulation, modelling the number of cases of increasingly rare conditions encountered by a cohort of clinicians. The simulation captured results for each year of practice, and for each clinician throughout the entirety of their careers. Four hundred sixty-two theoretical conditions were considered, with prevalence ranging from 1 per million people through to 64.1% of the population. We then delivered a class with two in-class on-line surveys evaluating student perception of the importance of learning about rare diseases, one before and the other after an in-class real-time computer simulation. Key simulation variables were drawn from the student group, to help students project themselves into the simulation. RESULTS: The in-class computer simulation revealed that all graduating clinicians from that class would frequently encounter rare conditions. Comparison of results of the in-class survey conducted before and after the computer simulation, revealed a significant increase in the perceived importance of learning about rare diseases (p < 0.005). CONCLUSIONS: The computer career simulation appeared to affect student perception. Because the computer simulation demonstrated clinicians frequently encounter patients with rare diseases, we further suggest this should be considered by academics during curriculum review and design. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12909-021-02688-7. |
format | Online Article Text |
id | pubmed-8127215 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-81272152021-05-17 Career-computer simulation increases perceived importance of learning about rare diseases Sarrafpour, Babak Hegde, Shwetha Delamare, Eduardo Weeks, Ruth Denham, Rebecca A. Thoeming, Alix Zoellner, Hans BMC Med Educ Research Article BACKGROUND: Rare diseases may be defined as occurring in less than 1 in 2000 patients. Such conditions are, however, so numerous that up to 5.9% of the population is afflicted by a rare disease. The gambling industry attests that few people have native skill evaluating probabilities. We believe that both students and academics, under-estimate the likelihood of encountering rare diseases. This combines with pressure on curriculum time, to reduce both student interest in studying rare diseases, and academic content preparing students for clinical practice. Underestimation of rare diseases, may also contribute to unhelpful blindness to considering such conditions in the clinic. METHODS: We first developed a computer simulation, modelling the number of cases of increasingly rare conditions encountered by a cohort of clinicians. The simulation captured results for each year of practice, and for each clinician throughout the entirety of their careers. Four hundred sixty-two theoretical conditions were considered, with prevalence ranging from 1 per million people through to 64.1% of the population. We then delivered a class with two in-class on-line surveys evaluating student perception of the importance of learning about rare diseases, one before and the other after an in-class real-time computer simulation. Key simulation variables were drawn from the student group, to help students project themselves into the simulation. RESULTS: The in-class computer simulation revealed that all graduating clinicians from that class would frequently encounter rare conditions. Comparison of results of the in-class survey conducted before and after the computer simulation, revealed a significant increase in the perceived importance of learning about rare diseases (p < 0.005). CONCLUSIONS: The computer career simulation appeared to affect student perception. Because the computer simulation demonstrated clinicians frequently encounter patients with rare diseases, we further suggest this should be considered by academics during curriculum review and design. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12909-021-02688-7. BioMed Central 2021-05-17 /pmc/articles/PMC8127215/ /pubmed/34001103 http://dx.doi.org/10.1186/s12909-021-02688-7 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Sarrafpour, Babak Hegde, Shwetha Delamare, Eduardo Weeks, Ruth Denham, Rebecca A. Thoeming, Alix Zoellner, Hans Career-computer simulation increases perceived importance of learning about rare diseases |
title | Career-computer simulation increases perceived importance of learning about rare diseases |
title_full | Career-computer simulation increases perceived importance of learning about rare diseases |
title_fullStr | Career-computer simulation increases perceived importance of learning about rare diseases |
title_full_unstemmed | Career-computer simulation increases perceived importance of learning about rare diseases |
title_short | Career-computer simulation increases perceived importance of learning about rare diseases |
title_sort | career-computer simulation increases perceived importance of learning about rare diseases |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8127215/ https://www.ncbi.nlm.nih.gov/pubmed/34001103 http://dx.doi.org/10.1186/s12909-021-02688-7 |
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