Unveiling Disparities in Patient Rights Awareness and Practice: Insights From Artificial Neural Networks.

IF 1.7 3区 医学 Q3 HEALTH CARE SCIENCES & SERVICES
Journal of Patient Safety Pub Date : 2025-08-01 Epub Date: 2025-02-17 DOI:10.1097/PTS.0000000000001326
Loai M Saadah, Dalal B Alnatour, Mumen S Hadidi, Fadia F Samara, Sana S Shakhshir, Wafa'a M Alnsour, Maisa K Saket
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引用次数: 0

Abstract

Background: High-quality universal health care coverage for all patients is the common theme in patient rights. However, pertinent investigations on this topic within the context of Jordanian health care are absent. This systematic review, coupled with a pooled artificial intelligence analysis of the data in retrieved studies, paves the way for such research by pooling data sets sourced from across the Middle East and North Africa (MENA) region.

Methods: National Library of Medicine (NLM), through its secondary database of primary literature (PubMed), was queried with the terms "Patient" and "Rights" in April 2024. Quantitative surveys from MENA containing individual item assessments mapped to 1 of the 7 domains of Jordan National Patient Rights Charter were pooled. Finally, factors extracted for all studies were then used to build an artificial neural network (ANN) to test the hypothesis that information asymmetry in both awareness and practice of patient rights exist even among health care providers.

Results: A total of 8 studies with 131 survey items were identified in the MENA region. All items tested either knowledge (awareness) or practice (implementation) of respondents regards patient rights except for 25 items in one study which measured both. ANN converged to a best net of multilayer feedforward with 3 hidden nodes. Patient right domain, from Jordanian Patient Rights Charter, ranked first and respondent type second as most important among the variables. However, there was huge and statistically significant asymmetry between students 0.602 (0.499 to 0.853), patients 0.627 (0.518 to 0.636), and nurses 0.492 (0.340 to 0.786) on one side and clinicians 1.166 (1.025 to 1.258) on the other side in the ANN model (both paired t test and Wilcoxon signed rank test P <0.0001) for any pairwise comparisons.

Conclusions: Jordan National Patient Charter can fit any patient right item one could think of in the infinite space of patient rights. Huge information asymmetry exists in both awareness and implementation between practicing professionals and society but also among the different health professions.

揭示患者权利意识和实践的差异:来自人工神经网络的见解。
背景:为所有患者提供高质量的全民医疗保健覆盖是患者权利的共同主题。然而,在约旦卫生保健的背景下,没有对这一问题进行相关调查。这一系统综述,加上对检索研究中的数据进行汇总人工智能分析,通过汇集来自中东和北非(MENA)地区的数据集,为此类研究铺平了道路。方法:于2024年4月通过美国国家医学图书馆(National Library of Medicine, NLM)主要文献二级数据库PubMed进行检索,检索词为“Patient”和“Rights”。汇集了中东和北非地区的定量调查,其中包含针对约旦国家病人权利宪章7个领域中的1个领域的个别项目评估。最后,从所有研究中提取的因素然后用于构建人工神经网络(ANN),以检验即使在医疗服务提供者之间也存在患者权利意识和实践中的信息不对称的假设。结果:在中东和北非地区共确定了8项研究,131项调查项目。除了一项研究中同时测量了患者权利的25个项目外,所有项目都测试了应答者的知识(意识)或实践(实施)。人工神经网络收敛到具有3个隐藏节点的多层前馈网络。《约旦患者权利宪章》中的患者权利领域排名第一,被访者类型排名第二,是最重要的变量。然而,在ANN模型中,学生0.602(0.499 ~ 0.853)、患者0.627(0.518 ~ 0.636)、护士0.492(0.340 ~ 0.786)与临床医生1.166(1.025 ~ 1.258)存在巨大的不对称,且具有统计学意义(配对t检验和Wilcoxon签名秩检验)。结论:约旦国家患者宪章可以在患者权利的无限空间中容纳任何一个你能想到的患者权利项目。无论是执业专业人员与社会之间,还是不同卫生专业人员之间,在认识和执行方面都存在着巨大的信息不对称。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Patient Safety
Journal of Patient Safety HEALTH CARE SCIENCES & SERVICES-
CiteScore
4.60
自引率
13.60%
发文量
302
期刊介绍: Journal of Patient Safety (ISSN 1549-8417; online ISSN 1549-8425) is dedicated to presenting research advances and field applications in every area of patient safety. While Journal of Patient Safety has a research emphasis, it also publishes articles describing near-miss opportunities, system modifications that are barriers to error, and the impact of regulatory changes on healthcare delivery. This mix of research and real-world findings makes Journal of Patient Safety a valuable resource across the breadth of health professions and from bench to bedside.
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