Journal of evaluation in clinical practice最新文献

{"title":"AI Anxiety: A Web of Science-Based Bibliometric Analysis","authors":"Betul Akalin,&nbsp;Furkan Alp,&nbsp;Birkan Tapan,&nbsp;Mehmet Besir Demirbas","doi":"10.1111/jep.70296","DOIUrl":"10.1111/jep.70296","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>Artificial Intelligence Anxiety (AI Anxiety) refers to the apprehension and distrust individuals may feel in response to the rapid development and integration of artificial intelligence into various aspects of life. These emotions are often driven by concerns about AI's potential implications in domains such as employment, security, privacy, and human interaction. This study aims to conduct a comprehensive bibliometric analysis of the scientific literature on ‘AI Anxiety’ published between 2011 and 2024.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>A total of 80 articles indexed in the Web of Science (WoS) Core Collection database were analysed. The study evaluated parameters including the most cited publications, annual distribution of research, contributing countries, leading publishers, main research domains, and keyword trends. Network analyses involving coauthorship, author citations, institutional citations, and country-level citations were conducted using VOSviewer software.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>The findings indicate a notable increase in AI Anxiety-related studies, particularly between 2021 and 2024. Highly cited articles include works by Youn (2021) and Wang (2022). The United States emerged as the leading contributor, followed by China and Türkiye. Prominent publishers were Elsevier, Springer Nature, and Taylor &amp; Francis. In the coauthorship network, authors such as Merlo and Johnson occupied central positions. Frequently used keywords included ‘Artificial Intelligence’, ‘AI Anxiety’, ‘Technology Acceptance Model’, and ‘Trust’. Country citation analysis revealed that the United States and China occupied central roles with strong citation linkages to other countries.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>The study highlights the growing scholarly interest in the psychological and societal implications of artificial intelligence. It also provides a roadmap for future research directions by identifying key contributors, collaborative patterns, and thematic trends within the field of AI Anxiety.</p>\u0000 </section>\u0000 </div>","PeriodicalId":15997,"journal":{"name":"Journal of evaluation in clinical practice","volume":"31 7","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145301400","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Factors Influencing Readiness for Hospital Discharge Among Patients With Schizophrenia: A Cross-Sectional Study","authors":"Aliane Uwera,&nbsp;Qingqing Yang,&nbsp;Shumin Zhang,&nbsp;Jie Shi,&nbsp;Min Gao,&nbsp;Meizhi Li,&nbsp;Jianjian Wang,&nbsp;Zhanchou Zhang,&nbsp;Li He,&nbsp;Lulu Lu,&nbsp;Qiongni Chen","doi":"10.1111/jep.70277","DOIUrl":"10.1111/jep.70277","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Rationale</h3>\u0000 \u0000 <p>Schizophrenia is a severe disabling disease associated with disease relapse and a high readmission rate after hospital discharge. Readiness for hospital discharge plays a crucial role in patients transitioning from the hospital to the community, as well as in improving post-discharge outcomes. However, previous studies have predominantly focused on personal characteristics, social support, and nurses' guidance during discharge, while disease-related factors and ward environment factors have been overlooked.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Objectives</h3>\u0000 \u0000 <p>To assess the current status and factors influencing readiness for hospital discharge among patients with schizophrenia.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Method</h3>\u0000 \u0000 <p>390 patients and 14 head nurses of psychiatric wards from six tertiary hospitals in China completed the questionnaire from July 2023 to January 2024. Data was analysed using descriptive statistics, <i>t</i>-tests, ANOVA, Pearson correlation, and multiple linear regression. This study was reported using the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) checklist.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>The mean score of readiness for hospital discharge among patients with schizophrenia was high (102.63 ± 15.69). The quality of discharge teaching, schizophrenia self-management, perceived social support, and other factors affecting the ability to control symptoms such as stigma and family conflicts significantly influenced readiness for hospital discharge, explained by 47.50% of the total variation in the model.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>The current study has revealed a high level of readiness for hospital discharge, schizophrenia self-management, perceived social support, and quality of discharge teaching among patients with schizophrenia. In addition, the quality of discharge teaching, self-management, social support, and other reasons affecting the ability to control symptoms were the key factors influencing readiness for hospital discharge among patients with schizophrenia. Therefore, personalised hospital discharge preparation for patients with schizophrenia throughout their hospitalisation period is needed for effective community reintegration.</p>\u0000 </section>\u0000 </div>","PeriodicalId":15997,"journal":{"name":"Journal of evaluation in clinical practice","volume":"31 7","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145286413","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Reframing EHR Policy in China: Towards Balanced Implementation and Ethical Foundations","authors":"Shuyuan Chen,&nbsp;Wenhao Huang,&nbsp;Yan Xu,&nbsp;Jie Yang","doi":"10.1111/jep.70273","DOIUrl":"10.1111/jep.70273","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>Electronic Health Record (EHR) systems are a core component of healthcare informatization, playing a crucial role in the development of digital and smart healthcare. This study utilizes policy tool theory to analyse policies related to China's EHR system. By gaining a deep understanding of the mechanisms of policy impact, we believe we can better guide the development direction of EHR systems, optimize resource allocation, and improve system effectiveness and efficiency. Ultimately, this will make a substantial contribution to the construction of healthcare informatization.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>The research employs Christopher Hood's ʻNATOʼ model of policy tools to construct a three-dimensional analytical framework. A total of 427 relevant policy documents were retrieved and screened from the PKULAW.COM and WWW.GOV.COM databases. NVivo 14 software was used for text mining and quantitative analysis.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>The study reveals that authority tools (36.88%) dominate across most policy objectives, particularly in improving healthcare quality and promoting technological innovation. Nodality tools (27.90%) also demonstrate significant influence in enhancing healthcare quality and fostering technological innovation. Organization tools (21.75%) reflect governmental efforts in institutional development and organizational coordination. While economic tools (13.48%) show a lower overall frequency of use, they are applied relatively more in objectives related to rational resource allocation.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>Recommendations include optimizing the government's role and balancing the use of authority tools; refining the policy objective system with increased attention to ethical issues; and strengthening the synergistic application of policy tools to enhance policy implementation effectiveness.</p>\u0000 </section>\u0000 </div>","PeriodicalId":15997,"journal":{"name":"Journal of evaluation in clinical practice","volume":"31 7","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12520162/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145286381","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ethical Dilemmas Surrounding ECMO Withdrawal: A Qualitative Empirical Study","authors":"Abdelrahman M. Makram,&nbsp;Randa Elsheikh,&nbsp;Truong Thanh Phuong Ha,&nbsp;Mahmoud Sayed Saad Mohammed,&nbsp;Nguyen Tien Huy","doi":"10.1111/jep.70294","DOIUrl":"10.1111/jep.70294","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Extracorporeal membrane oxygenation (ECMO) is a critical, life-sustaining intervention often described as ‘a bridge to nowhere’ due to its transient nature and the ethical complexities it entails. This qualitative empirical study examines the moral dilemmas surrounding ECMO utilization in clinical practice, with a particular focus on the unilateral withdrawal of support for capacitated patients with a poor prognosis.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Using a qualitative, thematic analysis of existing literature, we performed a literature search in PubMed with ECMO and ethical principles as search concepts. We reviewed 139 articles for possible inclusion, where articles were included if they discussed the ethical dilemmas or implications of unilateral ECMO withdrawal. The patient's condition did not also play a role in the selection of eligible arguments.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>We found that in the context of pandemics, the shortage of ECMO machines for a growing number of critically ill patients placed significant pressure on ethical evaluations, with concerns involving distributive justice, quality of life, patients' rights, and professional integrity. The paper systematically analyzed the ethics of resource allocation, the impact on patient autonomy, and the role of palliative care, highlighting the intricacies of the Equivalence Thesis in decision-making. Furthermore, it critically explored the foundational principles, such as beneficence and non-maleficence, and proportionality, alongside other ethical concepts discussed in the literature, like professional and legal considerations.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>By analyzing these ethical dimensions, this paper seeks to inform and shape evidence-based, patient-centered policies and practices in ECMO management, fostering decisions that respect both the rights of patients and the ethical duties of clinicians.</p>\u0000 </section>\u0000 </div>","PeriodicalId":15997,"journal":{"name":"Journal of evaluation in clinical practice","volume":"31 7","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145286243","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Psychometric Evaluation of the Korean Social Health Scale for the Elderly: A Rasch Analysis of Item Level Validity","authors":"Seungju Lim,&nbsp;Yebin Han,&nbsp;Ji-Hyuk Park","doi":"10.1111/jep.70275","DOIUrl":"10.1111/jep.70275","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Rationale, Aims and Objectives</h3>\u0000 \u0000 <p>This study aims to evaluate the psychometric properties of the Korean Social Health Scale for the Elderly (K-SHSE) using Rasch analysis, to ensure its validity and reliability in measuring social health among older Korean adults.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>A total of 300 community-dwelling adults aged 55 and older in Korea completed the K-SHSE through an online survey. Rasch analysis was conducted using the Partial Credit Model to assess unidimensionality, item fit, difficulty hierarchy, rating scale functioning, precision and differential item functioning (DIF). Analyses were performed separately for the three subdomains: Social Support (SS), Social Adjustment (SA), and Perceived Environmental Resources (PER).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Of the 25 original items, 10 were excluded due to misfits statistics. The final scale retained 15 items across the three subdomains. All subdomains satisfied the assumption of unidimensionality. The SS domain demonstrated strong reliability and person separation, while the SA and PER domains showed limited discriminative ability. Four items displayed statistically significant DIF by sex. The item difficulty hierarchy aligned with theoretical expectations, and no significant floor or ceiling effects were observed.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>All domains of the K-SHSE demonstrated acceptable psychometric properties for assessing social health among older adults in Korea, with particularly strong performance in the SS domain. Although some items exhibited DIF or showed limited reliability, their inclusion did not bias the measurement model. These findings support the use of the K-SHSE as a valid and reliable tool for evaluating social health in both research and practical settings.</p>\u0000 </section>\u0000 </div>","PeriodicalId":15997,"journal":{"name":"Journal of evaluation in clinical practice","volume":"31 7","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12503081/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145238588","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluating AI-Generated Meal Plans for Simulated Diabetes Profiles: A Guideline-Based Comparison of Three Language Models","authors":"Hatice Merve Bayram,&nbsp;Sedat Arslan,&nbsp;Arda Ozturkcan","doi":"10.1111/jep.70295","DOIUrl":"10.1111/jep.70295","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aims</h3>\u0000 \u0000 <p>This synthetic simulation, using no real patient data, study aimed to evaluate and compare the performance of three prominent large language models (LLMs)—ChatGPT-4.1, Grok-3 and DeepSeek—in generating medical nutrition therapy aligned dietary plans for adults with type 2 diabetes mellitus (T2DM).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>A simulation-based design was employed using 24 standardized virtual patient profiles differentiated by gender and body mass index (BMI) category. Each LLM was prompted in Turkish to generate 3-day meal plans. Outputs were assessed for energy and macro-/micronutrient accuracy, adherence to national and international T2DM guidelines and alignment with the nutrition care process (NCP).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>ChatGPT-4.1 showed the highest alignment with energy requirements (70.9%) but overestimated fat intake. Grok-3 demonstrated superior energy accuracy (83.1%) but failed to meet several micronutrient targets. DeepSeek adjusted protein intake according to BMI but underdelivered carbohydrates. None of the models demonstrated full concordance with the NCP framework, particularly in the diagnosis and monitoring components. Frequent hallucinations and lack of clinical contextualization were noted. Integration of retrieval-augmented generation (RAG) was identified as a potential improvement strategy.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>While LLMs showed promise in generating baseline dietary guidance in a simulated context, these results reflected concordance with guideline documents only and concordance with guideline documents only and should not be interpreted as evidence of equivalence to dietitian-led care. These findings reflected model behaviour in synthetic scenarios only and highlighted the need for RAG integration and expert supervision before any clinical application.</p>\u0000 </section>\u0000 </div>","PeriodicalId":15997,"journal":{"name":"Journal of evaluation in clinical practice","volume":"31 7","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145238619","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correction to “Health: A Critique of Clinicians' Views and a Transgressive Model Based on Imagination”","authors":"","doi":"10.1111/jep.70293","DOIUrl":"10.1111/jep.70293","url":null,"abstract":"<p>A. Pârvan, “Health: A Critique of Clinicians' Views and a Transgressive Model Based on Imagination,” <i>Journal of Evaluation in Clinical Practice</i> 31 (2025): e70247. https://doi.org/10.1111/jep.70247.</p><p>In the original published article, the order of references was inadvertently altered. This has now been corrected in the current version.</p><p>We apologize for this error.</p>","PeriodicalId":15997,"journal":{"name":"Journal of evaluation in clinical practice","volume":"31 7","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jep.70293","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145238962","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Engaging Adolescents With Chronic Illness in Patient-Education: The Adolescent's Perception","authors":"Marie-Paule Morin,&nbsp;Aimun Qadeer Shah,&nbsp;Marie-Pascale Pomey,&nbsp;Claude Julie Bourque,&nbsp;Lawrence Grierson,&nbsp;Maria Mylopoulos,&nbsp;François Bowen","doi":"10.1111/jep.70297","DOIUrl":"10.1111/jep.70297","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Rationale</h3>\u0000 \u0000 <p>Musculoskeletal (MSK) conditions are a leading cause of global disability, yet MSK physical examination remains a well-documented gap in medical education. Learners frequently report low confidence in performing these exams. Medical education programmes have addressed this by engaging adult patient educators with lived experience, an approach that has been shown to improve clinical skills. However, little is known about engaging adolescents as patient educators for the MSK exam, despite arthritis being a common chronic condition in this age group. As adolescents are at a unique developmental stage, their perspectives can help medical learners develop age-appropriate, patient-centred care. Exploring how adolescents themselves perceive this role is essential to designing effective educational programmes. This study represents an important first step in informing the development of a future patient-educator programme involving adolescents with juvenile idiopathic arthritis (JIA).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Aims and Objectives</h3>\u0000 \u0000 <p>This study explored the perceptions of adolescents (13–18 years) with JIA about their potential involvement as patient-educators of the MSK exam.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Method</h3>\u0000 \u0000 <p>We conducted 19 semi-structured interviews at two Canadian paediatric centres and analysed transcripts using thematic content analysis.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Results showed that adolescents were generally enthusiastic about patient education and recognised the value of lived experience in training medical learners.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>Understanding adolescents' perceptions is key to developing future medical education programmes that meaningfully integrate their experiences.</p>\u0000 </section>\u0000 </div>","PeriodicalId":15997,"journal":{"name":"Journal of evaluation in clinical practice","volume":"31 7","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12503082/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145238927","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancing Diabetes Prediction With Minimal Processing Time Using Catboost: A Comparative Study","authors":"M. Sumathi,&nbsp;S. Sahana,&nbsp;S Sri Raja Rajeswari,&nbsp;V. Kruthi,&nbsp;S. P. Raja","doi":"10.1111/jep.70284","DOIUrl":"10.1111/jep.70284","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>Diabetes mellitus is a chronic disease that presents significant health challenges worldwide. Accurate diabetes prediction facilitates early intervention and personalized healthcare strategies, thereby improving patient care and reducing healthcare processing costs. Ensemble-based machine learning (ML) methods enhance predictive performance.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Method</h3>\u0000 \u0000 <p>This study explores various ML classifiers, both individually and in ensemble configurations, including decision trees, random forests, k-nearest neighbors, Naive Bayes, AdaBoost (AB), XGBoost (XB), and multilayer perceptron (MLP) for prediction. The performance of each method is evaluated through rigorous experimentation and comparative analysis across multiple aspects.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>The performance of the best ML model, MLP, is compared with that of the proposed CatBoost classifier and the ensemble model to identify the most effective approach for diabetes prediction in minimal duration. The proposed CatBoost classifier's execution time of 4.27 s, which is approximately 98.64% faster than the ensemble model's 314.96 s. This demonstrates CatBoost's significant advantage in computational efficiency over ensemble-based classifiers.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>By leveraging the diverse and complementary strengths of ML classifiers, this study contributes to the advancement of precision medicine and personalized healthcare for individuals at risk of diabetes.</p>\u0000 </section>\u0000 </div>","PeriodicalId":15997,"journal":{"name":"Journal of evaluation in clinical practice","volume":"31 7","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145238357","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Knowledge to Impact: From Conceptualizing to Mobilizing the Saskatchewan Caregiver Experience Study","authors":"Steven Hall,&nbsp;Noelle Rohatinsky,&nbsp;June Gawdun,&nbsp;Leslie Macala,&nbsp;Jennifer White,&nbsp;Lorraine Holtslander,&nbsp; Shelley Peacock","doi":"10.1111/jep.70291","DOIUrl":"10.1111/jep.70291","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objectives</h3>\u0000 \u0000 <p>Given the rising number of older adults reliant on family and friend caregivers (i.e., those who provide informal care), the Saskatchewan Caregiver Experience Study aimed to examine the experiences of these caregivers in Saskatchewan and identify unmet needs. This paper describes our knowledge translation and mobilization efforts of our study's findings.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Researchers partnered with the Saskatoon Council on Aging (SCOA) to conduct the study, recruiting 355 family and friend caregivers. We evaluated impacts across conceptualization, data collection and knowledge mobilization using the Knowledge Engagement Impact Assessment Toolkit to assess how effectively our study's design has the potential to impact policy and practice, which involved completing an Assessment Matrix (quantitative assessment) and Assessment Portrait (qualitative assessment). A stakeholder webinar served as the primary knowledge translation event.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Findings</h3>\u0000 \u0000 <p>An Assessment Matrix revealed moderate impact scores for conceptualization and knowledge mobilization phases. However, the Assessment Portrait reflected collaboration, thorough policy alignment and outreach. Data collection and analysis scored lower. We reflected on this lower score in the Assessment Portrait as being due to fewer avenues for reciprocal engagement and capacity-building during this stage. Policy recommendations, formed in collaboration with SCOA, were presented at the webinar and called for expanded respite care and streamlined system navigation.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>By systematically evaluating research activities, this study highlights the critical role of knowledge translation in shaping caregiver support. Findings reinforce the importance of early and ongoing stakeholder collaboration, user-friendly dissemination methods and targeted policy action. Employing a structured framework for measuring engagement impact can guide targeted interventions, ensuring that caregiver programming, legislative reforms and improved care quality align with evolving population needs and priorities.</p>\u0000 </section>\u0000 </div>","PeriodicalId":15997,"journal":{"name":"Journal of evaluation in clinical practice","volume":"31 7","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jep.70291","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145191816","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}