Abdullah A Alharbi, Nawfal A Aljerian, Hani A Alghamdi, Meshary S Binhotan, Ali K Alsultan, Mohammed S Arafat, Abdulrahman Aldhabib, Ahmed I Aloqayli, Eid B Alwahbi, Ronnie D Horner
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This study examined SMARC's effectiveness in facilitating mental health service access by analyzing patient transfer acceptance rates between healthcare facilities and identifying factors influencing these rates.</p><p><strong>Methods: </strong>This retrospective cross-sectional study analyzed 9722 mental health electronic referrals within SMARC from January 2020 to December 2021. Descriptive statistics characterized referral patterns, while bivariate and multivariable logistic regression analyses identified factors associated with referral acceptance, calculating adjusted odds ratios (aORs) and 95% confidence intervals.</p><p><strong>Results: </strong>The system achieved an overall acceptance rate of 82.5%, with different patterns across age groups and regions. Lower acceptance rates were observed for ages 15-25 years (aOR = 0.84; 95% CI = 0.70-0.99) and 46-65 years (aOR = 0.83; 95% CI = 0.70-0.99) compared to ages 26-35 years. Life-saving referrals showed the highest acceptance (aOR = 2.60; 95% CI = 1.51-4.48), while psychiatrist availability significantly influenced acceptance rates (aOR = 1.36; 95% CI = 1.17-1.58). External referrals were half as likely to be accepted as internal ones (aOR = 0.51; 95% CI = 0.42-0.64).</p><p><strong>Conclusion: </strong>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.</p>","PeriodicalId":16357,"journal":{"name":"Journal of Multidisciplinary Healthcare","volume":"18 ","pages":"735-745"},"PeriodicalIF":2.7000,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11829587/pdf/","citationCount":"0","resultStr":"{\"title\":\"Assessing Mental Illness Referral Request Acceptance: A Nationwide E-Referral Data From Saudi Arabia.\",\"authors\":\"Abdullah A Alharbi, Nawfal A Aljerian, Hani A Alghamdi, Meshary S Binhotan, Ali K Alsultan, Mohammed S Arafat, Abdulrahman Aldhabib, Ahmed I Aloqayli, Eid B Alwahbi, Ronnie D Horner\",\"doi\":\"10.2147/JMDH.S493246\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background and objective: </strong>Mental disorders significantly impact quality of life and life expectancy, representing a leading cause of global disease burden. 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Descriptive statistics characterized referral patterns, while bivariate and multivariable logistic regression analyses identified factors associated with referral acceptance, calculating adjusted odds ratios (aORs) and 95% confidence intervals.</p><p><strong>Results: </strong>The system achieved an overall acceptance rate of 82.5%, with different patterns across age groups and regions. Lower acceptance rates were observed for ages 15-25 years (aOR = 0.84; 95% CI = 0.70-0.99) and 46-65 years (aOR = 0.83; 95% CI = 0.70-0.99) compared to ages 26-35 years. Life-saving referrals showed the highest acceptance (aOR = 2.60; 95% CI = 1.51-4.48), while psychiatrist availability significantly influenced acceptance rates (aOR = 1.36; 95% CI = 1.17-1.58). External referrals were half as likely to be accepted as internal ones (aOR = 0.51; 95% CI = 0.42-0.64).</p><p><strong>Conclusion: </strong>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. 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引用次数: 0
摘要
背景和目的:精神障碍显著影响生活质量和预期寿命,是全球疾病负担的主要原因。世界各地的卫生保健系统在满足精神卫生服务需求方面面临挑战,特别是由于专家短缺和地理障碍。沙特阿拉伯实施了一项创新的全国电子转诊系统(SMARC),作为其数字卫生转型战略的一部分,以提高精神卫生保健的可及性。本研究通过分析患者在医疗机构之间的转院接受率和确定影响这些比率的因素,检验了SMARC在促进精神卫生服务获取方面的有效性。方法:本回顾性横断面研究分析了2020年1月至2021年12月SMARC内9722例心理健康电子转诊。描述性统计描述了转诊模式,而双变量和多变量逻辑回归分析确定了与转诊接受度相关的因素,计算调整优势比(aORs)和95%置信区间。结果:系统总体接受率为82.5%,不同年龄段、不同地区的接受模式不同。15-25岁的接受率较低(aOR = 0.84;95% CI = 0.70-0.99)和46-65岁(aOR = 0.83;95% CI = 0.70-0.99),与26-35岁的人相比。救生转诊的接受度最高(aOR = 2.60;95% CI = 1.51-4.48),而精神科医生的可用性显著影响接受率(aOR = 1.36;95% ci = 1.17-1.58)。外部推荐被接受的可能性是内部推荐的一半(aOR = 0.51;95% ci = 0.42-0.64)。结论:SMARC通过患者需求与现有资源的战略匹配,在优化精神卫生保健可及性方面显示出有效性。该系统的选择性接受模式反映了其根据临床紧迫性和资源可用性优先考虑护理的能力。这些发现为政策制定者不断加强数字卫生基础设施和精神卫生服务提供了宝贵的见解。SMARC模式为在全球实施类似的数字转诊系统提供了一个有希望的框架,以改善精神卫生保健的协调和可及性。
Assessing Mental Illness Referral Request Acceptance: A Nationwide E-Referral Data From Saudi Arabia.
Background and objective: Mental disorders significantly impact quality of life and life expectancy, representing a leading cause of global disease burden. Healthcare systems worldwide face challenges in meeting mental health service demands, particularly due to specialist shortages and geographical barriers. Saudi Arabia has implemented an innovative nationwide electronic referral system (SMARC) as part of its digital health transformation strategy to enhance mental healthcare accessibility. This study examined SMARC's effectiveness in facilitating mental health service access by analyzing patient transfer acceptance rates between healthcare facilities and identifying factors influencing these rates.
Methods: This retrospective cross-sectional study analyzed 9722 mental health electronic referrals within SMARC from January 2020 to December 2021. Descriptive statistics characterized referral patterns, while bivariate and multivariable logistic regression analyses identified factors associated with referral acceptance, calculating adjusted odds ratios (aORs) and 95% confidence intervals.
Results: The system achieved an overall acceptance rate of 82.5%, with different patterns across age groups and regions. Lower acceptance rates were observed for ages 15-25 years (aOR = 0.84; 95% CI = 0.70-0.99) and 46-65 years (aOR = 0.83; 95% CI = 0.70-0.99) compared to ages 26-35 years. Life-saving referrals showed the highest acceptance (aOR = 2.60; 95% CI = 1.51-4.48), while psychiatrist availability significantly influenced acceptance rates (aOR = 1.36; 95% CI = 1.17-1.58). External referrals were half as likely to be accepted as internal ones (aOR = 0.51; 95% CI = 0.42-0.64).
Conclusion: 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.
期刊介绍:
The Journal of Multidisciplinary Healthcare (JMDH) aims to represent and publish research in healthcare areas delivered by practitioners of different disciplines. This includes studies and reviews conducted by multidisciplinary teams as well as research which evaluates or reports the results or conduct of such teams or healthcare processes in general. The journal covers a very wide range of areas and we welcome submissions from practitioners at all levels and from all over the world. Good healthcare is not bounded by person, place or time and the journal aims to reflect this. The JMDH is published as an open-access journal to allow this wide range of practical, patient relevant research to be immediately available to practitioners who can access and use it immediately upon publication.