ArticleFrontiers in medicine2024
Showcasing the Saudi e-referral system experience: the epidemiology and pattern of referrals utilising nationwide secondary data.
Article in Frontiers in medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Digital Referral Patterns for Otolaryngology Subspecialties: A Two-Year Nationwide Analysis in Saudi Arabia.Healthcare (Basel, Switzerland) · 2026Article
- Neurosurgery-Led Digital Emergency Referral System in Khyber Pakhtunkhwa, Pakistan: Protocol for a Mixed Methods Implementation Study.JMIR research protocols · 2026Article
- Healthcare Access Through Digital Coordination: A Nationwide Analysis of Obstetrics and Gynecology E-Referral Patterns in Saudi Arabia.Healthcare (Basel, Switzerland) · 2026Article
- Optimizing Interdisciplinary Referral Pathways for Chronic Obstructive Pulmonary Disease Management Across Cardiology and Pulmonology Specialties in the Kingdom of Saudi Arabia.Journal of clinical medicine · 2025Article
- Leukemia Incidence and Demographic Trends in Saudi Arabia, 1997-2022: A Nationwide Registry Analysis.Journal of epidemiology and global health · 2025Article
- Optimizing people's movement across the health system: a scoping review of referral systems within a primary health care approach.Primary health care research & development · 2025Article
- Saudi Medical Appointments and Referrals Center (SMARC) Performance Dynamic: A Comparative National Analysis of 2023-2024 Against Baseline Metrics.Healthcare (Basel, Switzerland) · 2025Article
- Referral patterns, influencing factors, and satisfaction related to referrals of patients with rheumatic diseases to other healthcare professionals: an online survey of rheumatologists.Rheumatology international · 2025Article
- Poisoning Epidemiology, Clinical Outcomes and Management Decisions for General Public Calls: A Cross-Sectional Analysis of a Nationwide Telehealth Toxicology Consultation Service Data in Saudi Arabia.Journal of epidemiology and global health · 2025Article
- Digital Surveillance of Mental Health Care Services in Saudi Arabia: Cross-Sectional Study of National e-Referral System Data.JMIR public health and surveillance · 2025Article
- Characteristics of pediatric e-referrals through SMARC system: a two-year national analysis.Frontiers in medicine · 2025Article
- Assessing Mental Illness Referral Request Acceptance: A Nationwide E-Referral Data From Saudi Arabia.Journal of multidisciplinary healthcare · 2025Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Referrals are an integral part of any healthcare system. In the Kingdom of Saudi Arabia (KSA) an electronic referral (e-referral) system known as the Saudi Medical Appointments and Referrals Centre (SMARC) began formally functioning in 2019. This study aims to showcase the Saudi experience of the e-referral system and explore the epidemiology of referrals nationally. Methods: This retrospective descriptive study utilised secondary collected data between 2020 and 2021 from the SMARC system. Cross tabulations with significance testing and colour-coded maps were used to highlight the patterns across all regions. Results: The study analysed over 600,000 referral requests. The mean age of patients was 40.70 ± 24.66 years. Males had a higher number of referrals (55.43%). Referrals in 2021 were higher than those in 2020 (56.21%). Both the Autumn and Winter seasons had the highest number of referrals (27.09% and 27.43%, respectively). The Surgical specialty followed by Medicine had the highest referrals (26.07% and 22.27%, respectively). Life-saving referrals in the Central region were more than double those in other regions (14.56%). Emergency referrals were also highest in the Southern regions (44.06%). The Central and Eastern regions had higher referrals due to unavailable sub-speciality (68.86% and 67.93%, respectively). The Southern regions had higher referrals due to both unavailable machine and unavailable beds (18.44% and 6.24%, respectively). Conclusion: This study shows a unique system in which referrals are between secondary, tertiary, and specialised care. It also highlights areas of improvement for equitable resource allocation and specialised care in slightly problematic areas as well as the use of population density in future planning.
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