Pediatric Emergency Medicine

The objective of the proposed research is to develop and pilot a locally-relevant, multicomponent intervention to streamline the triage process (e.g. patient assessment, stabilization, and disposition) for pediatric injury patients in Tanzania. This health systems intervention will work at the first level of medical contact (e.g., health center and district hospital), in order to facilitate timely disposition and referrals, and subsequently decrease time to definitive care. The proposed study has three aims: 1) With a mixed methods approach, describe the barriers to pediatric injury care at the first medical contact; 2) Iteratively develop the P-KIDs CARE intervention using a nominal group technique and conduct a pre-implementation assessment and refinement; 3) Pilot the P-KIDs CARE intervention and perform an implementation-focused formative evaluation. The proposed study focuses on pediatric injury patients and the family members and healthcare providers that care for them in Kilimanjaro, Tanzania. The investigators will recruit pediatric injury patients, family members, and healthcare providers from 2 health facilities in the Kilimanjaro Region.

This study is a single center, non-equivalent comparison group, pre-post study in a tertiary pediatric emergency department in Switzerland. the study will compare the control and experimental groups on outcome measures before (12-month period) and after (6-month period) the intervention consisting of the implementation and use of the evidence-based mobile app-the ''Patients In My Pocket in my Hospital'' (PIMPmyHospital) app. The primary outcome will be the mean elapsed time in minutes between the delivery of lab results and the emergency department caregivers accessing them before (i.e., on the institutional electronic medical records) and after the implementation of the app (i.e, directly on the app).

The goal of this clinical trial is to find out whether self-guided and facilitator-guided virtual reality (VR) simulations are equally effective in helping medical students learn how to manage and treat critically ill children. The study will also investigate how medical students feel about the two training methods and examine how many experience cybersickness. The main questions it aims to answer are: * Does self-guided VR simulation work as well as facilitator-guided VR simulation in teaching medical students how to manage critically ill children? * How do medical students experience the ease of use, workload, reflection on learning, and motivation in each training method? * How many students experience cybersickness? To answer these questions, researchers will compare the two training methods to evaluate if self-guided VR simulation is an effective way to teach medical students how to manage critically ill children. Participants will: * Work through three VR cases to practice managing critically ill children in a safe environment. * Be tested before and after the VR simulation to assess changes in their skills managing critically ill children. * Complete surveys about their experience of the VR simulation, the training sessions, and any cybersickness symptoms they might have.

In the present work, we aim to 1. Describe the pattern of patients admitted to Emergency unite at Assiut University Child Hospital (AUCH) and classify them according to age ,distribution ,most common presenting complain, effect of seasonal variation on causes of admission ,prognosis till discharge of the patient to home or refer him to specific unit in pediatric hospital and associated chronic disease. 2. Describe factors affecting mortality rate

This research is a continuation of a usability study with the MARVIN chatbot. The investigators aim to adapt the MARVIN chatbot to open it to other health domains (e.g. breast cancer) and populations (e.g. pharmacists). Therefore, this protocol constitutes a master research protocol that will englobe different research projects with individual chatbots. The investigators adopt an adaptive platform trial design, which will allow flexibility in handling multiple interventions adapted to different populations while retaining the characteristics of a platform trial design allowing early withdrawal of ineffective trial arms based on interim data (implementation outcomes) and introduction of new trial arms.