Predictors of failure in the Advanced Trauma Life Support course
Autor: | Matthew Mobily, Nancy Hernandez, Andrew Tang, Narong Kulvatunyou, Bellal Joseph, D. Judkins, Richard D. Catalano, Peter Rhee, Bernardino C. Branco, Donald J. Green |
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Rok vydání: | 2014 |
Předmět: |
Adult
Male medicine.medical_specialty Educational measurement Traumatology California Risk Factors medicine Humans Language Retrospective Studies business.industry Age Factors Arizona Retrospective cohort study General Medicine Stepwise regression medicine.disease Advanced trauma life support Advanced Trauma Life Support Care Logistic Models English as Second Language Physical therapy Surgery Female Medical emergency Educational Measurement business Healthcare providers Specialization |
Zdroj: | American journal of surgery. 210(5) |
ISSN: | 1879-1883 |
Popis: | Background Over 1 million healthcare providers have participated in the Advanced Trauma Life Support course. No studies have evaluated factors that predict course performance. This study aims to identify these predictors. Methods All participants taking the course at 2 centers over a 4-year period were identified. Demographics, background, and performance data were extracted. Participants who failed were compared with those who did not. Stepwise logistic regression analysis was used to identify independent risk factors for failure. Results Seven hundred forty-four healthcare providers participated in the course; 89.5% passed and 10.5% failed. Failure rates were lowest (.0%) among Trauma/Surgical Critical Care (SCC) providers and highest among pediatric providers (28.6%). Stepwise logistic regression identified age greater than 55, English as a second language, pretest score less than 75, and non-Trauma/SCC and non-Emergency Medicine background as predictors of failure. Conclusions A failure rate of 10.5% was demonstrated among the course participants. Age greater than 55, English as second language, pretest score less than 75, and non-Trauma/SCC and non-Emergency Medicine backgrounds were associated with failure. These subgroups may benefit from performance improvement measures. |
Databáze: | OpenAIRE |
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