Evidence map›Paper›PMID 39865569›Full record

ArticleJMIR public health and surveillance2025

Digital Surveillance of Mental Health Care Services in Saudi Arabia: Cross-Sectional Study of National e-Referral System Data.

Abdullah A Alharbi, Nawfal A Aljerian, Meshary S Binhotan, Hani A Alghamdi, Ali K Alsultan, Mohammed S Arafat, Abdulrahman Aldhabib, Yasser A Alaska, Eid B Alwahbi, Mohammed A Muaddi and 2 more

Abstract read
In one paragraph

Article in JMIR public health and surveillance, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Family Honor, Gender Norms, and Help-Seeking Shape Mental Health Stigma in Saudi Arabia: A Systematic Review.Inquiry : a journal of medical care organization, provision and financing
    Pooled it
  2. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Abdullah A AlharbiDepartment of Family and Community Medicine, Faculty of Medicine, Jazan University, Jazan, Saudi Arabia.ORCID 0000-0002-5405-2055
Nawfal A AljerianMedical Referrals Centre, Ministry of Health, Riyadh, Saudi Arabia.ORCID 0000-0002-3242-0312
Meshary S BinhotanDepartment of Emergency Medical Services, College of Applied Medical Sciences, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia.ORCID 0000-0002-8156-2843
Hani A AlghamdiDepartment of Family and Community Medicine, College of Medicine, King Saud University, Riyadh, Saudi Arabia.ORCID 0000-0002-5025-8136
Ali K AlsultanMedical Referrals Centre, Ministry of Health, Riyadh, Saudi Arabia.ORCID 0009-0003-1954-5481
Mohammed S ArafatMedical Referrals Centre, Ministry of Health, Riyadh, Saudi Arabia.ORCID 0000-0002-6168-4966
Abdulrahman AldhabibMedical Referrals Centre, Ministry of Health, Riyadh, Saudi Arabia.ORCID 0009-0002-0042-9766
Yasser A AlaskaDepartment of Emergency Medicine, King Saud University, Riyadh, Saudi Arabia.ORCID 0000-0003-0352-040X
Eid B AlwahbiMedical Referrals Centre, Ministry of Health, Riyadh, Saudi Arabia.ORCID 0009-0008-0917-4564
Mohammed A MuaddiDepartment of Family and Community Medicine, Faculty of Medicine, Jazan University, Jazan, Saudi Arabia.ORCID 0000-0003-0438-1077
Ahmad Y AlqassimDepartment of Family and Community Medicine, Faculty of Medicine, Jazan University, Jazan, Saudi Arabia.ORCID 0000-0002-0170-1437
Ronnie D HornerDepartment of Health Services Research and Administration, College of Public Health, University of Nebraska Medical Center, Omaha, NE, United States.ORCID 0000-0002-9967-216X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Mental illness affects an estimated 25% of the global population, with treatment gaps persisting worldwide. The COVID-19 pandemic has exacerbated these challenges, leading to a significant increase in mental health issues globally. In Saudi Arabia, the lifetime prevalence of mental disorders is estimated at 34.2%, yet 86.1% of those with a 12-month mental disorder report no service use. To address these challenges, digital health solutions, particularly electronic referral (e-referral) systems, have emerged as powerful tools to improve care coordination and access. Saudi Arabia has pioneered the nationwide Saudi Medical Appointments and Referrals Centre (SMARC), a centralized e-referral system using artificial intelligence and predictive analytics. objectives: This study aims to analyze Saudi Arabia's novel nationwide e-referral system for mental health services, using SMARC platform data to examine referral patterns, and service accessibility. This study also aims to demonstrate how digital health technology can inform and improve mental health care delivery and policy making. Methods: This retrospective, cross-sectional study used secondary data from SMARC on 10,033 psychiatric e-referrals in Saudi Arabia during 2020-2021. Referrals were assessed by patient sociodemographic variables, geographic data, and e-referral characteristics including date, type, bed type, and reason for e-referral. Descriptive statistical analyses identified referral patterns, while regression modeling determined predictors of external referrals to other regions. Results: Analysis of 10,033 psychiatric e-referrals revealed that 58.99% (n=5918) were for patients aged 18-44 years, 63.93% (n=6414) were for men, and 87.10% (n=8739) were for Saudi nationals. The Western Business Unit generated 45.17% (n=4532) of all e-referral requests. Emergency cases were the most common type of referral overall, followed by routine inpatient and routine outpatient department referrals. However, in the Northern Business Unit, routine inpatient referrals were most frequent. Two-thirds of requests were for ward beds, while critical beds were rarely requested. "Unavailable subspecialty" was the primary reason for referrals across all regions. The utilization of the mental health e-referral system varied across regions, with the Northern Border and Albaha regions showing the highest rates, while Madinah, Eastern, and Riyadh regions demonstrated lower use. Temporal analysis showed almost similar monthly patterns in 2020 and 2021. There was an overall increase in referrals in 2021 compared with 2020. Conclusions: This pioneering study of mental health e-referrals in Saudi Arabia demonstrates how digital health transformation, particularly through an e-referral system, has significantly enhanced access to mental health services nationwide in Saudi Arabia. The success of this digital initiative demonstrates how digital health solutions can transform health care access, particularly in mental health services, offering a valuable model for other health care systems.

Indexed as

Mental DisordersMental Health ServicesReferral and ConsultationAdolescentAdultCOVID-19Cross-Sectional StudiesFemaleHealth Services AccessibilityHumansMaleMiddle AgedRetrospective StudiesSaudi ArabiaYoung Adultdigital healthepidemiologye-referralhealth care transformationhealth policymental healthSaudi ArabiaSaudi Medical Appointments and Referrals CentreSMARC

Identifiers

PMID39865569
PMCPMC11785370

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.