Assessing Medical Emergency E-referral Request Acceptance Patterns and Trends: A Comprehensive Analysis of Secondary Data From the Kingdom of Saudi Arabia.

Introduction Patient transfers in emergencies have been linked to reduced mortality rates and enhanced quality of care. The Saudi Medical Appointments and Referrals Centre (SMARC), an e-referral system in the Kingdom of Saudi Arabia (KSA) since 2019, plays a crucial role in ensuring quality and continuity of care. The findings of this study can provide valuable insights into the effectiveness of the e-referral system and identify potential areas for improvement in the management of emergency cases. Objective This study aims to examine e-referral patterns for emergency medical cases throughout all 13 administrative regions of KSA. Concurrently, it estimates the acceptance rate of medical emergency referrals and investigates associated factors among KSA hospitals. Methods This retrospective study utilized secondary data from the SMARC e-referral system, specifically focusing on medical emergency e-referral requests in the entire KSA during 2021. Descriptive univariate analyses were conducted to characterize the referral requests, followed by bivariate analyses to explore associations between factors and referral acceptance. Adjusted multiple logistic regression analyses were then performed to calculate adjusted odds ratios (ORs) and corresponding 95% confidence intervals, controlling for potential confounding variables. Results A total of 29,660 medical emergency referral requests were initiated across all regions of KSA during the study time frame, and, of these, 20,523 (69.19%) were accepted. The average age of patients with a medical emergency referral was 52 years old, and referral requests were higher among Saudis (13,781; 54.18%), males (13,781; 54.18%), and those from the Western region (10,560; 35.60%). Nearly 20,854 (70%) were due to the unavailability of specialized doctors or specialties in facilities. Based on multi-logistic regression, referral request acceptance was high in some factors as follows: compared to the Central region, requests from the Northern, Southern, Eastern, and Western regions had higher acceptance rates at 123%, 64%, 54%, and 46%, respectively. In addition, referral requests that were due to the unavailability of a specialized doctor or medical equipment had higher acceptance rates (19% and 16%), respectively, than those due to the unavailability of a specific specialty. Conclusion This study provides valuable insights into regional variations, sociodemographic factors, and referral reasons within the medical emergency e-referral system in the KSA. By estimating the acceptance rate of medical emergency referrals and investigating associated factors, this analysis confirms the effectiveness of the e-referral system in facilitating access to quality care, particularly for marginalized patients. The study highlights the need for health policy improvements to ensure equitable resource allocation and reduce disparities in healthcare access.