Loai M Saadah, Dalal B Alnatour, Mumen S Hadidi, Fadia F Samara, Sana S Shakhshir, Wafa'a M Alnsour, Maisa K Saket
{"title":"Unveiling Disparities in Patient Rights Awareness and Practice: Insights From Artificial Neural Networks.","authors":"Loai M Saadah, Dalal B Alnatour, Mumen S Hadidi, Fadia F Samara, Sana S Shakhshir, Wafa'a M Alnsour, Maisa K Saket","doi":"10.1097/PTS.0000000000001326","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusions: </strong>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.</p>","PeriodicalId":48901,"journal":{"name":"Journal of Patient Safety","volume":" ","pages":"317-323"},"PeriodicalIF":1.7000,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Patient Safety","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1097/PTS.0000000000001326","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/2/17 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
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.
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.