scholarly journals Simulation in Urological Training and Education (SIMULATE): Protocol and curriculum development of the first multicentre international randomized controlled trial assessing the transferability of simulation-based surgical training

2020 ◽  
Vol 126 (1) ◽  
pp. 202-211 ◽  
Author(s):  
Abdullatif Aydin ◽  
Kamran Ahmed ◽  
Mieke Van Hemelrijck ◽  
Hashim U. Ahmed ◽  
Muhammad Shamim Khan ◽  
...  
Keyword(s):  
Randomized Controlled Trial ◽  
Curriculum Development ◽  
Surgical Training ◽  
Controlled Trial ◽  
Training And Education ◽  
Randomized Controlled ◽  
Simulation Based ◽  
Urological Training

scholarly journals A mixed-methods evaluation of a cluster randomized controlled trial on simulation-based low-dose, high-frequency plus mobile mentoring training versus traditional group-based training of health workers in Ebonyi and Kogi States, Nigeria

2019 ◽  
Author(s):  
EMMANUEL UGWA ◽  
Mark Kabue ◽  
Emmanuel Otolorin ◽  
Gayane Yenokyan ◽  
Adetiloye Oniyire ◽  
...  
Keyword(s):  
Randomized Controlled Trial ◽  
High Frequency ◽  
Low Dose ◽  
Health Workers ◽  
Controlled Trial ◽  
Traditional Group ◽  
Knowledge And Skills ◽  
Randomized Controlled ◽  
Simulation Based ◽  
Cluster Randomized

Abstract Background: There are few studies from low- and middle-income countries on learning outcomes among health workers who have been trained on day of birth care using onsite, simulation-based, low-dose, high frequency (LDHF) training plus mobile (m) mentoring. The aim of this study was to compare their knowledge and skills competencies with those of health workers trained using the traditional offsite, group-based training (TRAD) approach in Kogi and Ebonyi states, Nigeria, over a 12-month period. Methods: We conducted a prospective cluster randomized controlled trial, enrolling 299 health workers in 60 health facilities in Kogi and Ebonyi states, randomized to either LDHF/m-mentoring (intervention, n=30 facilities) or traditional group-based training (TRAD, n=30 facilities) control arm. Health workers in both arms received basic emergency obstetric and newborn care training with simulated practice using anatomic models and role-plays. The control arm participants were trained offsite while the intervention arm were trained onsite where they work. Mentorship was done through telephone calls and reminder text messages. The multiple choice questions and objective structured clinical examinations mean scores were compared; p-value <0.05 was considered statistically significant. Qualitative data were collected and analyzed along themes of interest. Results: The mean knowledge scores between the two arms at months 3 and 12 post-training were equally high; no statistically significant differences. Both arms showed improvements in composite scores for assessed BEmONC clinical skills from around 30% at baseline to 75% and above at endline (p <0.05). Overall, the observed improvement and retention of skills was higher in intervention arm compared to the control arm at 12 months post-training, (p<0.05). Some LDHF/m-mentoring approach trainees reported that mentors’ support improved their acquisition and maintenance of knowledge and skills, which may have led to reductions in maternal and newborn deaths in their facilities. Conclusion: The LDHF/m-mentoring intervention is more effective than TRAD approach in improving health workers’ skills acquisition and retention. Health care managers should have the option to select the LDHF/m-mentoring learning approach, depending on their country’s priorities or context, as it ensures health workers remain in their place of work during training events thus less disruption to service delivery.

scholarly journals Simulation-Based Training of Non-Technical Skills in Colonoscopy: Protocol for a Randomized Controlled Trial

2017 ◽  
Vol 6 (8) ◽  
pp. e153 ◽  
Author(s):  
Rishad Khan ◽  
Michael A Scaffidi ◽  
Catharine M Walsh ◽  
Peter Lin ◽  
Ahmed Al-Mazroui ◽  
...  
Keyword(s):  
Randomized Controlled Trial ◽  
Controlled Trial ◽  
Technical Skills ◽  
Randomized Controlled ◽  
Simulation Based
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