The development and assessment of clinical judgment ability are essential in nursing education. The Lasater Clinical Judgment Rubric (LCJR) was shown to be valid in evaluating nursing students’ learning outcomes and skills in western cultures but has not been validated in mainland China. This study aimed to compare a simulation-teaching model with a traditional teaching method in enhancing the clinical judgment ability of nursing undergraduate students and to validate the Chinese version of the Lasater Clinical Judgment Rubric (C-LCJR). Four classes of nursing students (n = 157) at Hubei University of Chinese Medicine, China, were randomly assigned to two control and two experimental classes. The experimental classes were taught using simulation teaching with standardized patients, while the control classes were taught using traditional teaching methods. At the end of the experiment, students in both kinds of classes evaluated their clinical judgment using the C-LCJR. Teachers also rated the students but without knowing who had received the simulation teaching. Confirmatory factor analysis and a Multiple Indicators Multiple Causes (MIMIC) model with Bayesian estimation was fit to the rating data to investigate measurement properties and experimental effects. Compared to the control classes, students in the experimental classes performed better in all subdomains of C-LCJR (noticing, interpreting, responding, and reflecting). The measurement properties of the C-LCJR were found to be satisfactory with high factor loadings and reliabilities and no bias from age, gender, and raters. The simulation teaching model is more effective than the traditional (non-simulation-based) teaching method in improving clinical judgment of Chinese nursing students. The C-LCJR is a valid and reliable instrument for measuring clinical judgment in nursing students in China.

Stroke is a major cause of disability and mortality worldwide; yet; prior to this study; there had been no sufficient evidence to support the effectiveness of various transitional care interventions (TCI) on the disability and mortality of stroke survivors. This meta-analysis aimed to assess the effectiveness of TCI in reducing mortality and improving the activities of daily life (ADL) of stroke patients. PubMed; Web of Science; OVID; EMBASE; CINAHL; and Sino-Med were searched for articles published before November 2016. Thirty-one randomized controlled trials (RCTs) were identified in the study. This analysis showed that the total effect of TCI on reducing mortality was limited (Risk Ratio (RR) = 0.86; 95% Confidence Interval (CI): 0.75–0.98); that only home-visiting programs could reduce mortality rates (RR = 0.34; 95% CI: 0.17–0.67) compared with usual care; and that the best intervention was led by a multidisciplinary team (MT) ≤3 months (RR = 0.19; 95% CI: 0.05–0.71). In addition; home-visiting programs also produced ADL benefit (RR = 0.56; 95% CI: 0.31–0.81). Overall; there was a statistically significant difference in improving patients’ independence between TCI and usual care (RR = 1.12; 95% CI: 1.02–1.23). However; none of the interventions was effective when they were differentiated in the analysis. It is the conclusion of this study that home-visiting programs; especially those led by MTs; should receive the greatest consideration by healthcare systems or providers for implementing TCI to stroke survivors.

Research increasingly supports the role of electronic health technology in improving cognitive function. However, individuals with mild cognitive impairment or dementia often show low compliance with electronic health technology. To understand the barriers and facilitators for this group, this study was conducted. This study used the Joanna Briggs Institute (JBI) umbrella review method, searching relevant English articles in PubMed, Embase, Cochrane, Scopus, MEDLINE, Web of Science, and CINAHL from inception to May 2023. Two researchers independently selected articles based on predefined criteria, assessed study quality using Meta-QAT and A Measurement Tool to Assess Systematic Reviews (AMSTAR), and determined confidence in the evidence using GRADE-CERQual. The Unified Theory of Acceptance and Use of Technology (UTAUT) model was employed to analyze factors related to electronic health technology, and Behavior Change Techniques (BCTs) were used to develop implementation strategies. This study included 21 reviews, covering 535 primary studies, identifying 13 factors. The three most impactful factors on engagement were Perceived Behavioral Control, Relative Advantage, and Social Factors. Six implementation strategies were formulated based on BCT: enhancing targeted approaches, adapting to existing contexts, involving care organizations, accommodating family involvement, accessing virtual community resources, and recognizing patient variability. This umbrella review underscores the need for a multi-level stakeholder approach and a holistic perspective in developing targeted implementation strategies. Using the UTAUT framework, key influential factors have been identified, offering valuable insights for future interventions and enhancing participation in electronic health interventions. This study was registered with the PROSPERO (CRD42023429410).

Qiangji Decoction (QJD), a classic formula, has been widely used to treat brain aging–related neurodegenerative diseases. However, the mechanisms underlying QJD’s improvement in cognitive impairment of neurodegenerative diseases remain unclear. In this study, we employed D-galactose to establish the model of brain aging by long-term D-galactose subcutaneous injection. Next, we investigated QJD’s effect on cognitive function of the model of brain aging and the mechanisms that QJD suppressing neuroinflammation as well as improving neurodegenerative changes and hippocampal neuron apoptosis. The mice of brain aging were treated with three different dosages of QJD (12.48, 24.96, and 49.92 g/kg/d, respectively) for 4 weeks. Morris water maze was used to determine the learning and memory ability of the mice. HE staining and FJB staining were used to detect the neurodegenerative changes. Nissl staining and TUNEL staining were employed to detect the hippocampal neuron apoptosis. The contents of TNF-α, IL-1β, and IL-6 in the hippocampus were detected by using ELISA. Meanwhile, we employed immunofluorescence staining to examine the levels of GFAP and IBA1 in the hippocampus. Besides, the protein expression levels of Bcl-2, Bax, caspase-3, cleaved caspase-3, AMPKα, p-AMPKα-Thr172, SIRT1, IκBα, NF-κB p65, p-IκBα-Ser32, and p-NF-κB p65-Ser536 in the hippocampus of different groups were detected by Western blot (WB). Our findings showed that the QJD-treated groups, especially the M-QJD group, mitigated learning and memory impairments of the model of brain aging as well as the improvement of neurodegenerative changes and hippocampal neuron apoptosis. Moreover, the M-QJD markedly attenuated the neuroinflammation by regulating the AMPK/SIRT1/NF-κB signaling pathway. Taken together, QJD alleviated neurodegenerative changes and hippocampal neuron apoptosis in the model of brain aging via regulating the AMPK/SIRT1/NF-κB signaling pathway.

Background: Older adults with cognitive impairment can experience poor oral health due to reduced self-care ability, yet the impact of various oral health indicators on the cognitive ability remains unclear. We investigated the relationship between oral health indicators and mild cognitive impairment (MCI) in older adults.Methods: A cross-sectional study of 234 older adults aged 65 years or over was performed form January to March 2023 at health screening departments of hospitals. This study used the Mini-mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA), Activities of Daily Living (ADL), Clinical Dementia Rating (CDR), and Hachinski Ischemic Score (HIS) to measure MCI. Two qualified dentists performed clinical oral examinations (number of teeth lost, dental caries, removable dentures, periodontitis). The other oral health status was measured by subjective assessment questionnaires, and the oral health-related quality of life (OHRQoL) was assessed by Geriatric Oral Health Assessment Index (GOHAI).Results: Of the 234 older adults, 166 had MCI and 68 had normal cognitive ability. The univariate analyses revealed that older adults with poor oral health indicators of dental caries, mastication ability, oral and maxillofacial pain, self-perceived oral health status and OHRQoL had lower cognitive levels. The stepwise logistic regression analysis observed that higher education level (OR = 0.06, 95%CI = 0.007, 0.567) and OHRQoL score (OR = 0.92, 95%CI = 0.878, 0.963) were negatively associated with the presence of MCI. The area under the ROC curve (AUC) of MCI was 0.675 (95% CI: 0.600, 0.749) with a low sensitivity of 41.6% and a moderate specificity of 86.8%.Conclusion: OHRQoL was found to be associated with MCI, implying that OHRQoL may be important in cognitive decline. The GOHAI scale can be used to more easily assess the oral health of older adults, which is important for the timely detection of poor oral status to delay cognitive decline.