Assessing the Impact of External and Internal Factors on Emergency Department Overcrowding

• URL: http://arxiv.org/abs/2505.06238v1
• Date: Fri, 25 Apr 2025 22:56:12 GMT
• Title: Assessing the Impact of External and Internal Factors on Emergency Department Overcrowding
• Authors: Abdulaziz Ahmed, Khalid Y Aram, Mohammed Alzeen, Orhun Vural, James Booth, Brittany F. Lindsey, Bunyamin Ozaydin,
• Abstract summary: This study integrates ED tracking and hospital census data with data from external sources, including weather, football events, and federal holidays.<n>Seven regression models were developed to assess the effects of different predictors such as weather conditions, hospital census, federal holidays, and football games across different timestamps.
• Score: 2.279082199971367
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Study Objective: To analyze the factors influencing Emergency Department (ED) overcrowding by examining the impacts of operational, environmental, and external variables, including weather conditions and football games. Methods: This study integrates ED tracking and hospital census data from a southeastern U.S. academic medical center (2019-2023) with data from external sources, including weather, football events, and federal holidays. The dependent variable is the hourly waiting count in the ED. Seven regression models were developed to assess the effects of different predictors such as weather conditions, hospital census, federal holidays, and football games across different timestamps. Results: Some weather conditions significantly increased ED crowding in the Baseline Model, while federal holidays and weekends consistently reduced waiting counts. Boarding count positively correlated with ED crowding when they are concurrent, but earlier boarding count (3-6 hours before) showed significant negative associations, reducing subsequent waiting counts. Hospital census exhibited a negative association in the Baseline Model but shifted to a positive effect in other models, reflecting its time-dependent influence on ED operations. Football games 12 hours before significantly increased waiting counts, while games 12 and 24 hours after had no significant effects. Conclusion: This study highlights the importance of incorporating both operational and non-operational factors (e.g., weather) to understand ED patient flow. Identifying robust predictors such as weather, federal holidays, boarding count, and hospital census can inform dynamic resource allocation strategies to mitigate ED overcrowding effectively.

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