Exploring cultural sensitivity during distance simulations in pediatric emergency medicine
Bibliographic record
Abstract
Background: Cultural sensitivity (CS) training is vital to pediatric emergency medicine (PEM) curricula. This study aimed to explore CS in Yale PEM fellows and emergency medicine (EM) residents at Indus Hospital and Health Network (IHHN) in Pakistan through distance simulation activities. Methods: This mixed-methods analysis of an educational intervention was conducted at Yale University in collaboration with IHHN. We approached seven U.S. PEM fellows and 22 Pakistani EM residents. We performed a baseline CS assessment using the Clinical Cultural Competency Questionnaire (CCCQ). Afterward, the U.S. PEM fellows facilitated the Pakistani EM residents through six distance simulation sessions. Qualitative data were collected through online focus groups. The CCCQ was analyzed using descriptive statistics, and content analysis was used to analyze the data from the focus groups. Results: Seven U.S. PEM fellows and 18 of 22 Pakistani EM residents responded to the CCCQ at the beginning of the module. The mean (±SD) CCCQ domain scores for the U.S. PEM fellows versus the Pakistani EM residents were 2.56 (±0.37) versus 2.87 (±0.72) for knowledge, 3.02 (±0.41) versus 3.33 (±0.71) for skill, 2.86 (±0.32) versus 3.17 (±0.73) for encounter/situation, and 3.80 (±0.30) versus 3.47 (±0.47) for attitude (each out of 5 points). Our qualitative data analysis showed that intercultural interactions were valuable. There is a common language of medicine among the U.S. PEM fellows and Pakistani EM residents. The data also highlighted a power distance between the facilitators and learners, as the United States was seen as the standard of "how to practice PEM." The challenges identified were time differences, cultural practices such as prayer times, the internet, and technology. The use of local language during debriefing was perceived to enhance engagement. Conclusion: The distance simulation involving U.S. PEM fellows and Pakistani EM residents was an effective approach in assessing various aspects of intercultural education, such as language barriers, technical challenges, and religious considerations.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".