ArticleRisk management and healthcare policy2024
External Vs Internal e-Referrals: Results from a Nationwide Epidemiological Study Utilizing Secondary Collected Data.
Article in Risk management and healthcare policy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed, 5 citations in OpenAlex.
- Digital Referral Patterns for Otolaryngology Subspecialties: A Two-Year Nationwide Analysis in Saudi Arabia.Healthcare (Basel, Switzerland) · 2026Article
- Healthcare Access Through Digital Coordination: A Nationwide Analysis of Obstetrics and Gynecology E-Referral Patterns in Saudi Arabia.Healthcare (Basel, Switzerland) · 2026Article
- Saudi Medical Appointments and Referrals Center (SMARC) Performance Dynamic: A Comparative National Analysis of 2023-2024 Against Baseline Metrics.Healthcare (Basel, Switzerland) · 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
- Showcasing the Saudi e-referral system experience: the epidemiology and pattern of referrals utilising nationwide secondary data.Frontiers in medicine · 2024Article
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Authors and funding
9 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: E-referral systems, streamlining patient access to specialists, have gained global recognition yet lacked a comparative study between internal and external referrals in Saudi Arabia (KSA). Methods: This retrospective study utilized secondary data from the Saudi Medical Appointments and Referrals Centre system. The data covers 2020 and 2021, including socio-demographic data, referral characteristics, and specialties. Logistic regression analysis was used to assess factors associated with external referrals. Results: Out of 645,425 e-referrals from more than 300 hospitals, 19.87% were external. The northern region led with 48.65%. Males were 55%, and those aged 25-64 were 56.68% of referrals. Outpatient clinic referrals comprised 47%, while 61% of referrals were due to a lack of specialty services. Several significant determinants are associated with higher rates of external referral with (p-value <0.001) and a 95% Confidence interval. Younger individuals under 25 exhibit higher referral rates than those aged 25-64. Geographically, compared to the central region, in descending order, there were increasing trends of external referral in the northern, western, and southern regions, respectively (OR = 19.26, OR = 4.48, OR 3.63). External referrals for outpatient departments (OPD) and dialysis services were higher than for routine admissions (OR = 1.38, OR = 1.26). The rate of external referrals due to the lack of available equipment was more predominant than other causes. Furthermore, in descending order, external referrals for organ transplantation and oncology are more frequent than for medical specialties, respectively (OR = 9.39, OR = 4.50). Conclusion: The study reveals trends in e-referrals within the KSA, noting regional differences, demographic factors, and types of specialties regarding external referrals, benefiting the New Model of Care for the 2030 Vision. Findings suggest expanding virtual consultations to reduce external referrals. Strengthening primary care and preventive medicine could also decrease future referrals. Future studies should assess resource distribution, including infrastructure and workforce, to further inform healthcare strategy.
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