Medical Student Skill Retention After Cardiopulmonary Resuscitation Training: A Cross-sectional Simulation Study Introduction The retention of cardiopulmonary resuscitation skills and the ideal frequency of retraining remain unanswered. This study investigated the retention of cardiopulmonary resuscitation skills by medical students for up to 42 months after training. Methods In a cross-sectional study, 205 medical students received 10 hours of training in basic life support in 3 practical classes, during their first semester at school. Then, they were divided into 4 groups, according to the time elapsed since the training: 73 after 1 month, 55 after 18 months, 41 after 30 months, and 36 after 42 months. Nineteen cardiopulmonary resuscitation skills and 8 potential technical errors were evaluated by mannequin-based simulation and reviewed using filming. Results The mean retention of the skills was 90% after 1 month, 74% after 18 months, 62% after 30 months, and 61% after 42 months (P < 0.001). The depth of chest compressions had the greatest retention over time (87.8%), with no significant differences among groups. Compressions performed greater than 120 per minute were less likely to be done with adequate depth. Ventilation showed a progressive decrease in retention from 93% (n = 68) after 1 month to 19% (n = 7) after 42 months (P < 0.001). All 205 students were able to turn the automated external defibrillator on and deliver the shock. Conclusions The depth of chest compressions and the use of an automated external defibrillator were the skills with the highest retention over time. Based on a skills retention prediction curve, we suggest that 18 to 24 months as the minimum retraining interval to maintain at least 70% of skills. Reprints: Rafael Saad, MD, PhD, Dr. Arnaldo Ave, 455, Room 1210, Sao Paulo, Brazil (e-mail: rafaelsaad89@gmail.com). Supported by School of Medicine, University of Sao Paulo. The authors declare no conflict of interest. Supplemental digital content is available for this article. Direct URL citations appear in the printed text and are provided in the HTML and PDF versions of this article on the journal’s Web site (www.simulationinhealthcare.com). © 2019 Society for Simulation in Healthcare |
Learning Impacts of Pretraining Video-Assisted Debriefing With Simulated Errors or Trainees' Errors in Medical Students in Basic Life Support Training: A Randomized Controlled Trial Background Previous studies demonstrated that pretraining video-assisted debriefing (VAD) with trainees' errors (TE) videotaped in a skills pretest improved skill learning of basic life support (BLS). However, conducting a pretest and preparing TE video examples is resource intensive. Exposing individual trainee's errors to peers might be a threat to learners' psychological safety. We hypothesized pretraining VAD with simulated errors (SE, performed by actors) might have the same beneficial effect on skills learning as pretraining VAD with TE, but avoid drawbacks of TE. Methods Three hundred twenty-two third-year medical students were randomized into 3 groups (the control [C], TE, SE). A videotaped BLS skills pretest was conducted in 3 groups. Then, group C received traditional training with concurrent feedback. Video-assisted debriefing with TE in the pretest or SE was delivered in groups TE or SE, respectively, followed by BLS training without any feedback. Basic life support skills were retested 1 week later (posttest). Students completed a survey to express their preference to TE or SE for VAD in the future. Results Higher BLS skills scores were observed in groups TE (85.7 ± 7.0) and SE (86.8 ± 7.5) in the posttest, compared with group C (68.7 ± 13.3, P < 0.001). No skills difference was observed between group TE and SE in the posttest. More trainees (65.8%) preferred SE for VAD. Conclusions Pretraining VAD with SE had an equivalent beneficial effect as VAD with TE on BLS skills learning in medical students. More trainees preferred SE for VAD with regard to psychological safety. Reprints: Hong Xiao, MD, Department of Anesthesiology, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, PR China (e-mail: 619526767@qq.com). The authors declare no conflict of interest. Supported by the following research grants: National Key R&D Program of China (2018YFC2001800); a Medical Education Research Grant from Medical Education Committee of Chinese Medical Association and Medical Education Association of High Education Society of China in 2018 (2018-N07004); and a Key Project of Innovation in New Centurial High Education in Sichuan University in 2017 (SCU8052). Supplemental digital content is available for this article. Direct URL citations appear in the printed text and are provided in the HTML and PDF versions of this article on the journal’s Web site (www.simulationinhealthcare.com). © 2019 Society for Simulation in Healthcare |
Evaluating Best Methods for Crisis Resource Management Education: Didactic Teaching or Noncontextual Active Learning Introduction Health care training traditionally focuses on medical knowledge; however, this is not the only component of successful patient management. Nontechnical skills, such as crisis resource management (CRM), have significant impact on patient care. This study examines whether there is a difference in CRM skills taught by traditional lecture in comparison with low-fidelity simulation consisting of noncontextual learning through team problem-solving activities. Methods Two groups of multidisciplinary preclinical students were taught CRM through lecture or noncontextual active learning. Both groups were given a cardiopulmonary resuscitation simulation and clinical performance assessed by basic life support (BLS) checklist and CRM skills by Ottawa Global Rating Scale. The groups were reassessed at 4 months. A third group, who received no CRM education, served as a control group. Results The mean BLS scores after CRM education were 18.9 and 24.9 with mean Ottawa Global Rating Scale (GRS) scores of 22.4 and 29.1 in the didactic teaching and noncontextual groups, respectively. The difference between intervention groups was significant for BLS (P = 0.02) and Ottawa GRS (P = 0.03) score. At 4-month follow-up, there was no statistically significant difference in BLS (P = 1.0) or Ottawa GRS score (P = 0.55) between intervention groups. In comparison with the control group, there was a marginally significant difference in Ottawa GRS score (P = 0.06) at 4-month follow-up. Conclusions Noncontextual active learning of CRM using low-fidelity simulation results in improved CRM performance in comparison with didactic teaching. The benefits of CRM education do not seem to be sustained after one education session, suggesting the need for continued education and practice of skills to improve retention. Reprints: Sandy Widder, MD FRCSC, Department of Surgery, University of Alberta Hospital, 8440-112 St NW, 2D4.27 Walter C MacKenzie Health Sciences Centre, Edmonton, AB T6G 2B7, Canada (e-mail: Sandy.Widder2@albertahealthservices.ca). The authors declare no conflict of interest. © 2019 Society for Simulation in Healthcare |
Educational Interventions to Enhance Situation Awareness: A Systematic Review and Meta-analysis Summary Statement We conducted a systematic review to evaluate the comparative effectiveness of educational interventions on health care professionals' situation awareness (SA). We searched MEDLINE, CINAHL, HW Wilson, ERIC, Scopus, EMBASE, PsycINFO, psycARTICLES, Psychology and Behavioural Science Collection and the Cochrane library. Articles that reported a targeted SA intervention or a broader intervention incorporating SA, and an objective outcome measure of SA were included. Thirty-nine articles were eligible for inclusion, of these 4 reported targeted SA interventions. Simulation-based education (SBE) was the most prevalent educational modality (31 articles). Meta-analysis of trial designs (19 articles) yielded a pooled moderate effect size of 0.61 (95% confidence interval = 0.17 to 1.06, P = 0.007, I2 = 42%) in favor of SBE as compared with other modalities and a nonsignificant moderate effect in favor of additional nontechnical skills training (effect size = 0.54, 95% confidence interval = 0.18 to 1.26, P = 0.14, I2 = 63%). Though constrained by the number of articles eligible for inclusion, our results suggest that in comparison with other modalities, SBE yields better SA outcomes. Reprints: Nuala Walshe, RN, MTLHE, School of Nursing and Midwifery, Brookfield Health Science Complex, University College Cork, Cork T12 K8AF, Ireland (e-mail: n.walshe@ucc.ie). The authors declare no conflict of interest. Supplemental digital content is available for this article. Direct URL citations appear in the printed text and are provided in the HTML and PDF versions of this article on the journal’s Web site (www.simulationinhealthcare.com). © 2019 Society for Simulation in Healthcare |
Medicine by Alexandros G. Sfakianakis,Anapafseos 5 Agios Nikolaos 72100 Crete Greece,00302841026182,00306932607174,alsfakia@gmail.com,
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Σάββατο 26 Οκτωβρίου 2019
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Medicine by Alexandros G. Sfakianakis,Anapafseos 5 Agios Nikolaos 72100 Crete Greece,00302841026182,00306932607174,alsfakia@gmail.com,
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