Purpose: To compare the surgical duration for routine phacoemulsification surgeries in residents with and without virtual simulator training.
Methods: Retrospective cohort study of operative times of routine phacoemulsification cataract surgeries performed by 29 different third-year residents rotating at one academic institution. One group underwent mandatory virtual cataract surgery simulator training (SIM) in their second year of residency before starting surgeries while the other group did not undergo any simulator training (NOSIM). Outcomes measured were comparative surgical times and vitreous loss rates between groups in their third year of residency.
Results: 722 surgeries were included. Surgeries in the SIM group were on average 6.7 min (min) shorter compared to the NOSIM group (P = 0.0001). Although both groups required less time for surgery over the course of the academic year, regression analysis showed that NOSIM group residents overall required 17% longer time for an uncomplicated clear corneal phacoemulsification surgery (incidence rate ratio 1.17; p = 0.0001). In the final month of their residency residents in the SIM group (32.2 ± 3 min) were 9 min faster than NOSIM peers (41.2 ± 3 min mean ± SE; p = 0.02). Vitreous loss rates were 1.4% in the SIM group and 3.6% in the NOSIM group (p = 0.06).
Conclusion And Importance: Early and continuous implementation of mandatory virtual simulator surgical training before starting intraocular surgeries significantly decreases operative times in third year residents learning phacoemulsification compared to non-simulator trained peers.
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http://dx.doi.org/10.1016/j.ajoc.2019.100576 | DOI Listing |
BMC Med Res Methodol
January 2025
School of Mathematical Sciences, Xiamen University, Xiamen, 361005, People's Republic of China.
Objective: To assess whether the outcome generation true model could be identified from other candidate models for clinical practice with current conventional model performance measures considering various simulation scenarios and a CVD risk prediction as exemplar.
Study Design And Setting: Thousands of scenarios of true models were used to simulate clinical data, various candidate models and true models were trained on training datasets and then compared on testing datasets with 25 conventional use model performance measures. This consists of univariate simulation (179.
Obes Rev
January 2025
Department of Epidemiology and Biostatistics, University at Albany School of Public Health, Rensselaer, NY, USA.
As researchers increasingly utilize systems science simulation modeling (SSSM), little is known about how and by whom SSSMs are being leveraged to address inequities in access to healthy diets. We evaluated the extent to which studies (n = 66) employing SSSM to examine retail food environments (RFEs): included three pillars of equity (social position, human capital, socioeconomic and political context) that shape RFEs and access to healthy diets; grounded model design and development in theory; engaged with diverse stakeholders and lived experiences related to RFEs; and translated model findings towards addressing inequities in RFEs. Most studies (n = 58) included some model characteristics related to social position (e.
View Article and Find Full Text PDFBehav Res Methods
January 2025
University of California, Los Angeles, Los Angeles, CA, USA.
Educational researchers have a long-lasting interest in the strategies examinees employ when responding to items in an assessment. Mixture item response theory (IRT) modeling is a popular class of approaches to studying examinees' item-response strategies. In the present study, we introduce a response time (RT)-based mixture IRT model for flexible modeling of examinee-and-item-specific item-response strategies.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Economics, Kardan University, Kabul, Afghanistan.
The Internet of Things (IoT) has recently attracted substantial interest because of its diverse applications. In the agriculture sector, automated methods for detecting plant diseases offer numerous advantages over traditional methods. In the current study, a new model is developed to categorize plant diseases within an IoT network.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Electrical and Electronics Engineering, Manipal Institute of Technology Bengaluru, Manipal Academy of Higher Education, Manipal, India.
The increasing prevalence of network connections is driving a continuous surge in the requirement for network security and safeguarding against cyberattacks. This has triggered the need to develop and implement intrusion detection systems (IDS), one of the key components of network perimeter aimed at thwarting and alleviating the issues presented by network invaders. Over time, intrusion detection systems have been instrumental in identifying network breaches and deviations.
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