Background: Simulation based learning provides an opportunity to increase student readiness prior to clinical placement. Cross disciplinary learning facilitates interprofessional competency building and improved student appreciation of other health professions, which adds another learning dimension to simulated scenarios. This paper outlines the approach to facilitating an interdisciplinary simulated clinic, where experiences were mapped to common professional capabilities.

Methods: After mapping skill sets and professional capabilities common to both Nuclear Medicine and Radiation Therapy, a mock clinic was planned to address common objectives. The aims of the activity were to prepare students for upcoming clinical placement and to build knowledge and skills in the interprofessional environment. All students were allocated roles of both the health care professional and the patient and introduced to the concept of interprofessional learning in a pre-brief session. During the simulated clinic phase students experienced the other modality through the patient perspective as well as practicing the clinician role within their own modality. Following the simulation students came together for a de-brief session. The activity was evaluated using both online polling and pre and post paper-based surveys.

Results: A total of 28 students participated in the simulation: 17 in radiation therapy and 11 in nuclear medicine. All participants agreed that the mock clinic was valuable preparation for clinical placement. Twenty-four completed pre and post surveys, revealed a collective improvement in several measures of interprofessional understanding and application. Free text polled responses in the de-brief session highlighted value for practicing communication, realistic physical resemblance to the real-life scenarios and time pressures.

Conclusion: When two disciplines were combined in the simulated clinic, students learnt about each other's profession together. Evaluation showed positive improvements in both clinical readiness and interprofessional learning. Simulated tasks in healthcare education bought many benefits in preparing students for the workplace and in this example, enabled common objectives of interprofessional practice to be met.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.jmir.2024.101437DOI Listing

Publication Analysis

Top Keywords

simulated clinic
16
clinical placement
12
nuclear medicine
8
radiation therapy
8
mock clinic
8
common objectives
8
interprofessional learning
8
de-brief session
8
pre post
8
interprofessional
7

Similar Publications

Aim: The aim of the study is to test the null hypothesis that the specificities and sensitivities of the p-value-based significance test for differences between baseline variables and the I test for single trials do not significantly differ in detecting selection bias in randomised controlled trials (RCTs).

Methods: In MS Excel (Microsoft Corp., Redmond, WA, US), 100 trials were simulated, each consisting of two treatment groups (A and B), with 100 subjects in each group.

View Article and Find Full Text PDF

Objective: To evaluate the effect of disease stage, frequency and clustering of visual field (VF) tests, inclusion of 1 or both eyes, and 1 (1 arm; before and after a treatment) or 2 groups (2 arms; treatment and control arm) on sample size calculation in clinical trials.

Design: Clinical cohort study.

Participants: A series of VFs were simulated based on test-retest VF data in the early, moderate, and advanced stages of glaucoma with 231, 204, and 226 eyes, respectively.

View Article and Find Full Text PDF

Background: Effective ventilation is the core of neonatal resuscitation (NR). T-piece resuscitators (TPR) and self-inflating bags (SIB) are the two most widely utilized resuscitation devices. Nevertheless, limited information is available regarding the respiratory metrics during NR with these devices.

View Article and Find Full Text PDF

Exposure-response (ER) analyses are routinely performed as part of model-informed drug development to evaluate the risk-to-benefit ratio for dose selection, justification, and confirmation. For logistic regression analyses with binary endpoints, several exposure metrics are investigated, based on pharmacological plausibility, including time-averaged concentration to event (C). C is informative because it accounts for dose interruptions, modifications, and reductions and is therefore often compared against ER relationships identified using steady-state exposures.

View Article and Find Full Text PDF

Significance: The spatial distribution of the photosensitizing drug concentration is an important parameter for predicting the photodynamic therapy (PDT) outcome. Current diffuse fluorescence tomography methods lack accuracy in quantifying drug concentration. The development of accurate methods for monitoring the temporal evolution of the drug distribution in tissue can advance the real-time light dosimetry in PDT of tumors, leading to better treatment outcomes.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!