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Electronic Feedback Alone Versus Electronic Feedback Plus in-Person Debriefing for a Serious Game Designed to Teach Novice Anesthesiology Residents to Perform General Anesthesia for Cesarean Delivery: Randomized Controlled Trial

Electronic Feedback Alone Versus Electronic Feedback Plus in-Person Debriefing for a Serious Game Designed to Teach Novice Anesthesiology Residents to Perform General Anesthesia for Cesarean Delivery: Randomized Controlled Trial

Because of the precipitous declines in trainee clinical exposure to performing general anesthesia for cesarean delivery [20], in 2016, we developed Emergen CSim, a novel researcher-developed serious 3 D video game (SG) that reproduces the environment of an obstetric operating room with an embedded scoring and debriefing tool [8]. The learner, via an avatar, must perform general anesthesia for emergent cesarean delivery for the clinical scenario of umbilical cord prolapse.

Allison Lee, Stephanie Goodman, Chen Miao Chen, Ruth Landau, Madhabi Chatterji

JMIR Serious Games 2024;12:e59047

YouTube as a Source of Patient Information on External Cephalic Version: Cross-Sectional Study

YouTube as a Source of Patient Information on External Cephalic Version: Cross-Sectional Study

Planned cesarean delivery (CD) in cases of breech presentation leads to a reduction in perinatal morbidity compared to vaginal breech delivery [3]. However, CD is a high-risk procedure associated with an increase in maternal morbidity and possible complications in future pregnancies [4]. Vaginal breech delivery remains common in many contexts and is considered a high-risk obstetrics procedure.

Merle R van Dijk, Anne-Fleur van der Marel, Leonie E van Rheenen-Flach, Wessel Ganzevoort, Etelka Moll, Fedde Scheele, Joost Velzel

JMIR Form Res 2024;8:e50087

Fast Healthcare Interoperability Resources–Based Support System for Predicting Delivery Type: Model Development and Evaluation Study

Fast Healthcare Interoperability Resources–Based Support System for Predicting Delivery Type: Model Development and Evaluation Study

Cesarean delivery is one of the most important aspects of delivering babies since it has a considerable impact on the mother’s health and well-being. Despite the increased prevalence of this procedure over the last few years, the reasons behind this trend still remain unclear. Reports suggest that this increment is a global phenomenon, with the rate of cesarean deliveries almost tripling from 6.7% to 19.1% between 1990 and 2014 [1,2].

João Coutinho-Almeida, Alexandrina Cardoso, Ricardo Cruz-Correia, Pedro Pereira-Rodrigues

JMIR Form Res 2024;8:e54109

Content Quality of YouTube Videos About Pain Management After Cesarean Birth: Content Analysis

Content Quality of YouTube Videos About Pain Management After Cesarean Birth: Content Analysis

Thus, the purpose of this study was to systematically evaluate the quality of You Tube videos on postpartum cesarean recovery. A systematic search of You Tube videos was conducted using postpartum cesarean pain management–related keywords on June 25, 2021. Search terms were identified by expert consensus and expanded using Google Trends to identify related searches. The final terms included 36 iterations of the search “postpartum cesarean pain” (Multimedia Appendix 1).

Natalie A Squires, Elizabeth Soyemi, Lynn M Yee, Eleanor M Birch, Nevert Badreldin

JMIR Infodemiology 2023;3:e40802

Reliable Prediction Models Based on Enriched Data for Identifying the Mode of Childbirth by Using Machine Learning Methods: Development Study

Reliable Prediction Models Based on Enriched Data for Identifying the Mode of Childbirth by Using Machine Learning Methods: Development Study

Child delivery can be performed through several methods in hospitals, but the most common methods are either traditional vaginal birth or cesarean (c-section), while vacuum extractions and obstetric pincers can be used during complications in vaginal deliveries [5]. There are several assumptions pertaining to the mode of delivery, but it is still challenging to predict the type of childbirth accurately [6,7].

Zahid Ullah, Farrukh Saleem, Mona Jamjoom, Bahjat Fakieh

J Med Internet Res 2021;23(6):e28856