Assessing Mental Illness Referral Request Acceptance: A Nationwide E-Referral Data From Saudi Arabia
SMARC demonstrates effectiveness in optimizing mental healthcare access through strategic matching of patient needs with available resources. The system's selective acceptance patterns reflect its capability to prioritize care based on clinical urgency and resource availability. These findings provide valuable insights for policymakers to keep enhancing digital health infrastructure and mental healthcare delivery. The SMARC model offers a promising framework for implementing similar digital referral systems globally to improve mental healthcare coordination and accessibility.
Authors
- Abdulrahman Aldhabib
- Hani A Alghamdi (ORCID: https://orcid.org/0000-0002-5025-8136)
- Abdullah Alharbi (ORCID: https://orcid.org/0000-0002-5405-2055)
- Nawfal Aljerian (ORCID: https://orcid.org/0000-0002-3242-0312)
- Ronnie D. Horner (ORCID: https://orcid.org/0000-0002-9967-216X)
- Ahmed Aloqayli
- Mohammed Arafat (ORCID: https://orcid.org/0000-0002-6168-4966)
- Meshary Binhotan (ORCID: https://orcid.org/0000-0002-8156-2843)
- Eid B. Alwahbi
- Ali Ibrahim Al‐Sultan
Institutions
- King Saud bin Abdulaziz University for Health Sciences (SA)
- King Saud University (SA)
- King Abdullah International Medical Research Center (SA)
- Ministry of Health (SA)
- University of Nebraska Medical Center (US)
- Jazan University (SA)
Publication Details
- Journal
- Journal of Multidisciplinary Healthcare
- Published
- 2025-02-01
- DOI
- https://doi.org/10.2147/jmdh.s493246
- Citations
- 1
- Primary Topic
- Healthcare Systems and Technology
- Type
- article
- Field-Weighted Citation Impact
- 2.76