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Background: The performance of GPT-4 in nursing examinations within the Chinese context has not yet been thoroughly evaluated., Objective: To assess the performance of GPT-4 on multiple-choice and open-ended questions derived from nursing examinations in the Chinese context., Methods: The data sets of the Chinese National Nursing Licensure Examination spanning 2021 to 2023 were used to evaluate the accuracy of GPT-4 in multiple-choice questions. The performance of GPT-4 on open-ended questions was examined using 18 case-based questions., Results: For multiple-choice questions, GPT-4 achieved an accuracy of 71.0% (511/720). For open-ended questions, the responses were evaluated for cosine similarity, logical consistency, and information quality, all of which were found to be at a moderate level., Conclusion: GPT-4 performed well at addressing queries on basic knowledge. However, it has notable limitations in answering open-ended questions. Nursing educators should weigh the benefits and challenges of GPT-4 for integration into nursing education., Competing Interests: This research was supported by the Key Program of the National Natural Science Foundation of China (72034005). The authors declare no conflicts of interest., (Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.)

Background: Nonadherence to medication among patients with cardiovascular diseases undermines the desired therapeutic outcomes. eHealth interventions emerge as promising strategies to effectively tackle this issue., Objective: The aim of this study was to conduct a network meta-analysis (NMA) to compare and rank the efficacy of various eHealth interventions in improving medication adherence among patients with cardiovascular diseases (CVDs)., Methods: A systematic search strategy was conducted in PubMed, Embase, Web of Science, Cochrane, China National Knowledge Infrastructure Library (CNKI), China Science and Technology Journal Database (Weipu), and WanFang databases to search for randomized controlled trials (RCTs) published from their inception on January 15, 2024. We carried out a frequentist NMA to compare the efficacy of various eHealth interventions. The quality of the literature was assessed using the risk of bias tool from the Cochrane Handbook (version 2.0), and extracted data were analyzed using Stata16.0 (StataCorp LLC) and RevMan5.4 software (Cochrane Collaboration). The certainty of evidence was evaluated using the Grading of Recommendations, Assessment, Development, and Evaluations (GRADE) approach., Results: A total of 21 RCTs involving 3904 patients were enrolled. The NMA revealed that combined interventions (standardized mean difference [SMD] 0.89, 95% CI 0.22-1.57), telephone support (SMD 0.68, 95% CI 0.02-1.33), telemonitoring interventions (SMD 0.70, 95% CI 0.02-1.39), and mobile phone app interventions (SMD 0.65, 95% CI 0.01-1.30) were statistically superior to usual care. However, SMS compared to usual care showed no statistical difference. Notably, the combined intervention, with a surface under the cumulative ranking curve of 79.3%, appeared to be the most effective option for patients with CVDs. Regarding systolic blood pressure and diastolic blood pressure outcomes, the combined intervention also had the highest probability of being the best intervention., Conclusions: The research indicates that the combined intervention (SMS text messaging and telephone support) has the greatest likelihood of being the most effective eHealth intervention to improve medication adherence in patients with CVDs, followed by telemonitoring, telephone support, and app interventions. The results of these network meta-analyses can provide crucial evidence-based support for health care providers to enhance patients' medication adherence. Given the differences in the design and implementation of eHealth interventions, further large-scale, well-designed multicenter trials are needed., Trial Registration: INPLASY 2023120063; https://inplasy.com/inplasy-2023-12-0063/., (©Yiqun Miao, Yuan Luo, Yuhan Zhao, Mingxuan Liu, Huiying Wang, Ying Wu. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 15.07.2024.)

Objectives: To investigate the efficacy of traditional Chinese medicine (TCM) in the treatment of female stress urinary incontinence (SUI)., Method: PubMed, Cochrane, Web of Science, Embase, CNKI, Wanfang, and VIP databases were searched for articles published up to September 2022. Variables were analyzed using weighted mean difference (WMD), standardized mean difference (SMD), odds ratios (OR), and 95% confidence interval (CI)., Results: Eight studies containing 744 patients were included in this study. The results demonstrate that TCM therapy had more advantages in improving the clinical outcome of SUI patients (OR = 2.90, 95%CI:1.92-4.37, P = 0.000), reducing the International Consultation on Incontinence Questionnaire Short-Form (ICIQ-SF) score (WMD = -2.41, 95%CI:-2.83- -1.98, P = 0.000), reducing 1-h urinary pad leakage urine volume (WMD = -1.86, 95%CI:-2.23- -1.49, P = 0.000) and increasing Maximum urethral closure pressure (MUCP) (SMD = 0.86, 95%CI: 0.61-1.11, P = 0.000)., Conclusion: TCM therapy is effective in improving urinary incontinence symptoms, urodynamics, and quality of life in patients with SUI. This article provides a reference for the application of TCM therapy in women with urinary incontinence.