ObjectiveTo introduce visual teaching into the course design of medical humanistic care based on the concept of implementation science， evaluate the teaching implementation effect and feedback， and provide references for optimizing course teaching outcomes and improving students’ humanistic care competence. MethodsA visual teaching program for medical humanistic care was designed， with key steps including clarifying teaching objectives， content， methods， and curriculum assessment. This program was implemented in the medical humanistic care course teaching involving 50 elective students. Multi-dimensional evaluation of teaching effectiveness was conducted through course grades， visual teaching evaluation， and humanistic workshop assessment， combined with inductive content analysis of students’ learning experiences in the workshops. ResultsThe 50 students achieved above-average course grades （89.60±3.41） and demonstrated high satisfaction with the overall course and visual teaching. All the 6 groups obtained relatively high scores in the medical humanistic care workshops. Four themes were extracted， namely， enhancing humanistic care competencies， deepening familial and interpersonal relationships， realizing emotional expression and self-growth， and strengthening integration of humanistic care concepts with practice. ConclusionThe teaching of medical humanistic care course has achieved favorable effects， which contributes to deepening students’ understanding of humanistic care and enhancing their humanistic care competence. Students demonstrate high levels of recognition and satisfaction with the course.

Schizophrenia (SZ) stands as a severe psychiatric disorder. This study applied diffusion tensor imaging (DTI) data in conjunction with graph neural networks to distinguish SZ patients from normal controls (NCs) and showcases the superior performance of a graph neural network integrating combined fractional anisotropy and fiber number brain network features, achieving an accuracy of 73.79% in distinguishing SZ patients from NCs. Beyond mere discrimination, our study delved deeper into the advantages of utilizing white matter brain network features for identifying SZ patients through interpretable model analysis and gene expression analysis. These analyses uncovered intricate interrelationships between brain imaging markers and genetic biomarkers, providing novel insights into the neuropathological basis of SZ. In summary, our findings underscore the potential of graph neural networks applied to multimodal DTI data for enhancing SZ detection through an integrated analysis of neuroimaging and genetic features.
Humans ; Schizophrenia/pathology* ; Diffusion Tensor Imaging/methods* ; Male ; Female ; Adult ; Brain/metabolism* ; Young Adult ; Middle Aged ; White Matter/pathology* ; Gene Expression ; Nerve Net/diagnostic imaging* ; Graph Neural Networks

Objective To explore the effect of stratified out-of-hospital health management led by case health manager on the health behaviour ability of the patients with chronic diseases.Methods A convenience sampling method was employed to select 481 patients with chronic diseases who underwent physical examinations at outpatient department of a Tier-IIIA hospital from April 2022 to April 2023.A health management team led by case health managers conducted questionnaire survey to investigate the individual characteristics of the patients,established personal record based on the physical examination,and implemented stratified out-of-hospital health management for the patients.The intervention lasted for 12 months.The health behaviour ability and chronic disease self-management efficacy of the patients before and after the intervention were compared with.Results After the case manager-led stratified out-of-hospital health management,the health behaviour ability of patients with chronic diseases was stronger than that before the implementation,the self-management efficacy of chronic diseases was better than that before the implementation,and the patients'satisfaction was higher than that before the implementation(all P<0.001).Conclusion Stratified out-of-hospital health management led by a case health manager can improve the health behaviour ability and self-management efficacy of the patient with chronic diseases,thereby improve the patients'satisfaction.

Objective:To analyze the latent profile characteristics of self-management ability in patients with metabolic-associated fatty liver disease (MAFLD) and explore its influencing factors.Methods:This was a cross-sectional study. A total of 311 patients with metabolic-associated fatty liver disease (MAFLD) were selected from the First Affiliated Hospital of Sun Yat-sen University (including those receiving treatment and undergoing physical examinations) between August and October 2024. Data were collected using a general information questionnaire, the self-management Scale for Patients with Non-Alcoholic Fatty Liver Disease, and the Social Support Rating Scale. After excluding 51 patients due to incomplete questionnaire responses or logical inconsistencies, 260 patients were finally included in the analysis. Latent profile analysis was used to identify potential categories of patients′ self-management abilities. With the latent categories as the dependent variable and items with P<0.05 in univariate analysis as independent variables, a multivariate logistic regression analysis (with the "poor self-management group" as the reference group) was performed to explore the influencing factors. Results:Among the 260 participants included in the study, three potential categories of self-management behaviors were finally identified, namely the active self-management group with 106 cases (40.8%), the moderate self-management group with 118 cases (45.4%), and the passive self-management group with 36 cases (13.8%).Results of multivariate logistic regression analysis showed that, compared with the passive self-management group:Patients who resided in rural areas ( OR=0.130, 95% CI: 0.040-0.420), often stayed up late ( OR=0.200, 95% CI: 0.060-0.590), or had an average daily sleep duration of≤5 hours ( OR=0.160, 95% CI: 0.050-0.510) had a significantly lower probability of belonging to the "active self-management group";In contrast, patients with an education level of senior high school or above ( OR=7.530, 95% CI: 1.740-34.160) or a higher total score of social support ( OR=1.120, 95% CI: 1.030-1.210) had a significantly higher probability of being in the "active self-management group" (all P<0.05). Conclusion:There is heterogeneity in self-management ability among patients with metabolic associated fatty liver disease (MAFLD). Residential area, educational level, frequency of staying up late, average daily sleep duration, and social support are influencing factors of patients′ self-management ability.

Objective The purpose of writing the"expert consensus on humanistic care for patients in hospice care"(hereinafter referred to as the"consensus")aims to standardize the practice of humanistic care in the field of hospice care,ensuring that humanistic care is integrated throughout the entire service process for hospice care patients and their families.Methods A systematic search was conducted in domestic and foreign databases for literature related to hospice care and humanistic care,including guidelines,expert consensuses,systematic reviews or Meta-analyses,and evidence summaries.High-quality evidence was evaluated,extracted,and summarized to form the initial draft of the"consensus".From June to October 2024,20 experts from the fields of hospice care,nursing humanities,and evidence-based nursing were invited to participate in 1 round of expert consultation.Among them,13 experts were selected for 2 rounds of expert demonstration meetings.After collating and analyzing the experts' opinions,the initial draft was revised and refined,ultimately resulting in the final version of the"consensus".Results The effective response rate of the consultation questionnaire was 100％,with expert authority coefficient of 0.880,judgment coefficient of 0.935,and familiarity level of 0.825.The Kendall harmony coefficient of the expert consultation was 0.134(P＜0.05).The"consensus"consisted of 13 aspects,including the targets and objectives,principles,institutional guarantees,environmental requirements,etc.Conclusion This"consensus"possesses strong scientific rigor and practicality,which can provide guidance and references for the practice of humanistic care in the field of hospice care,promoting the standardization and humanization of hospice care services.