Developing and testing a high-fidelity simulation scenario for an uncommon life-threatening disease: Severe malaria
Journal of Tropical Medicine, ISSN: 1687-9686, Vol: 2011, Page: 310524
2011
- 6Citations
- 64Usage
- 18Captures
Metric Options: Counts1 Year3 YearSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations6
- Citation Indexes6
- CrossRef3
- Usage64
- Abstract Views64
- Captures18
- Readers18
- 18
Article Description
Background. Severe malaria is prevalent globally, yet it is an uncommon disease posing a challenge to education in nonendemic countries. High-fidelity simulation (sim) may be well suited to teaching its management. Objective. To develop and evaluate a teaching tool for severe malaria, using sim. Methods. A severe malaria sim scenario was developed based on 5 learning objectives. Sim sessions, conducted at an academic center, utilized METI ECS mannequin. After sim, participants received standardized debriefing and completed a test assessing learning and a survey assessing views on sim efficacy. Results. 29 participants included 3rd year medical students (65), 3rd year EM residents (28), and EM nurses (7). Participants scored average 85 on questions related to learning objectives. 93 felt that sim was effective or very effective in teaching severe malaria, and 83 rated it most effective. All respondents felt that sim increased their knowledge on malaria. Conclusion. Sim is an effective tool for teaching severe malaria in and may be superior to other modalities. Copyright © 2011 Andrew Kestler et al.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=79959207513&origin=inward; http://dx.doi.org/10.1155/2011/310524; http://www.ncbi.nlm.nih.gov/pubmed/21760807; http://www.hindawi.com/journals/jtm/2011/310524/; https://www.airitilibrary.com/Article/Detail/P20151222003-201112-201706190046-201706190046-57-62; https://dx.doi.org/10.1155/2011/310524; https://www.hindawi.com/journals/jtm/2011/310524/
Hindawi Limited
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know