Objective To investigate the drivers,stakeholders,core tasks,and differentiated development models of digital transformation in Chinese hospitals,develop a hospital digital transformation model,and propose advancement pathways.Methods Leveraging ROCCIPI theory,socio-technical systems theory,and social network theory,a multiple case study approach was employed to analyze four representative Chinese hospitals,examining the driving factors,social network relationship,and core tasks of digital transformation.Results Hospital digital transformation is a complex process driven by regulations,opportunities,and capabilities,requiring efficient collaboration among stakeholders focused on patient services,clinical operations,hospital management,and security.It identified three development models-ecology-oriented,regional integration,and grassroots enhancement—based on the distinct characteristics of the hospitals.A theoretical model for digital transformation in four Chinese hospitals was developed,along with proposed pathways and strategies.Conclusion It presents a digital transformation model and advancement pathways for hospitals through multiple case analyses,addressing the limited perspectives of existing research and providing a reference for practice.

Objective:To explore the correlation between serum soluble triggering receptor expressed on myeloid cells 2 (sTREM2) and cognitive impairment in patients with cerebral small vessel disease (CSVD), and the role of deep medullary vein (DMV) score in this process.Methods:A total of 140 patients with CSVD admitted to the Department of Neurology, the First Affiliated Hospital of Henan Medical University from December 2022 to August 2024 were selected as the research objects. The basic data statistics, head magnetic resonance imaging examination, cognitive function assessment, serum sTREM2 detection and DMV score were performed. All data were analyzed by SPSS 29.0 software and GraphPad Prism 10.0 software packages. Logistic regression model was used to explore the influencing factors of cognitive impairment. Structural equation model was used to analyze the mediating effect of DMV score on the association between serum sTREM2 and cognitive impairment. Receiver operating characteristic (ROC) curve was used to evaluate the predictive value of serum sTREM2 level and DMV score for cognitive impairment in CSVD patients.Results:Serum sTREM2 level ( B=0.017, OR=1.017, 95% CI=1.003-1.031), DMV score ( B=0.375, OR=1.455, 95% CI=1.175-1.802) and years of education ( B=-0.248, OR=0.780, 95% CI=0.635-0.958) were risk factors for cognitive impairment (all P<0.05). sTREM2 not only directly affected cognitive function, but also indirectly affected cognitive function through DMV score. The direct effect (effect size=-0.022) and mediating effect (effect size=-0.007) accounted for 75.9% and 24.1% of the total effect (effect size=-0.029), respectively. The areas under the ROC curve of serum sTREM2 level, DMV score, and their combination for predicting cognitive impairment in CSVD patients were 0.880, 0.891, and 0.910, respectively (all P<0.001). Conclusion:Serum sTREM2 not only directly affects the cognitive function of patients with cerebral small vessel disease, but also indirectly affects cognitive function through DMV score. The combination of serum sTREM2 levels and DMV score has high predictive value for the risk of CSVD-related cognitive impairment.

Objective:To explore the correlation between serum soluble triggering receptor expressed on myeloid cells 2 (sTREM2) and cognitive impairment in patients with cerebral small vessel disease (CSVD), and the role of deep medullary vein (DMV) score in this process.Methods:A total of 140 patients with CSVD admitted to the Department of Neurology, the First Affiliated Hospital of Henan Medical University from December 2022 to August 2024 were selected as the research objects. The basic data statistics, head magnetic resonance imaging examination, cognitive function assessment, serum sTREM2 detection and DMV score were performed. All data were analyzed by SPSS 29.0 software and GraphPad Prism 10.0 software packages. Logistic regression model was used to explore the influencing factors of cognitive impairment. Structural equation model was used to analyze the mediating effect of DMV score on the association between serum sTREM2 and cognitive impairment. Receiver operating characteristic (ROC) curve was used to evaluate the predictive value of serum sTREM2 level and DMV score for cognitive impairment in CSVD patients.Results:Serum sTREM2 level ( B=0.017, OR=1.017, 95% CI=1.003-1.031), DMV score ( B=0.375, OR=1.455, 95% CI=1.175-1.802) and years of education ( B=-0.248, OR=0.780, 95% CI=0.635-0.958) were risk factors for cognitive impairment (all P<0.05). sTREM2 not only directly affected cognitive function, but also indirectly affected cognitive function through DMV score. The direct effect (effect size=-0.022) and mediating effect (effect size=-0.007) accounted for 75.9% and 24.1% of the total effect (effect size=-0.029), respectively. The areas under the ROC curve of serum sTREM2 level, DMV score, and their combination for predicting cognitive impairment in CSVD patients were 0.880, 0.891, and 0.910, respectively (all P<0.001). Conclusion:Serum sTREM2 not only directly affects the cognitive function of patients with cerebral small vessel disease, but also indirectly affects cognitive function through DMV score. The combination of serum sTREM2 levels and DMV score has high predictive value for the risk of CSVD-related cognitive impairment.

Objective To investigate the drivers,stakeholders,core tasks,and differentiated development models of digital transformation in Chinese hospitals,develop a hospital digital transformation model,and propose advancement pathways.Methods Leveraging ROCCIPI theory,socio-technical systems theory,and social network theory,a multiple case study approach was employed to analyze four representative Chinese hospitals,examining the driving factors,social network relationship,and core tasks of digital transformation.Results Hospital digital transformation is a complex process driven by regulations,opportunities,and capabilities,requiring efficient collaboration among stakeholders focused on patient services,clinical operations,hospital management,and security.It identified three development models-ecology-oriented,regional integration,and grassroots enhancement—based on the distinct characteristics of the hospitals.A theoretical model for digital transformation in four Chinese hospitals was developed,along with proposed pathways and strategies.Conclusion It presents a digital transformation model and advancement pathways for hospitals through multiple case analyses,addressing the limited perspectives of existing research and providing a reference for practice.

Objective:To construct an indicator system for the development of nursing disciplines in ClassⅢ Grade A general hospitals.Methods:An initial draft of the indicator system was established through literature research and expert meetings. The Delphi method and purposive sampling were used from January to April 2023 to conduct two rounds of expert consultations with 17 nursing experts from four medical units nationwide and three nursing colleges. The indicators were revised and refined, resulting in the establishment of a nursing discipline construction indicator system for ClassⅢ Grade A general hospitals. The level of expert engagement was represented by the questionnaire recovery rate, expert authority by the expert authority coefficient ( Cr), and the degree of expert opinion coordination by Kendall 's harmony coefficient (Kendall 's W) . Results:The recovery rates for both rounds of expert consultation questionnaires were 100.00% (17/17), with expert Cr of 0.87. The CV values ranged from 0.049 to 0.260 and 0 to 0.140, respectively, while Kendall 's W were 0.221 and 0.257 ( P< 0.01). The final indicator system for the construction of nursing disciplines in ClassⅢ Grade A general hospitals included six primary indicators, 18 secondary indicators, and 63 tertiary indicators. Conclusions:The nursing discipline construction indicator system developed for ClassⅢ Grade A general hospitals in this study is scientific, reliable, and comprehensive. It can provide a reference for the construction of nursing disciplines in Class Ⅲ Grade A general hospitals.

BACKGROUND: Textbook outcome (TO) can guide decision-making among patients and clinicians during preoperative patient selection and postoperative quality improvement. We explored the factors associated with achieving a TO for gallbladder carcinoma (GBC) after curative-intent resection and analyzed the effect of adjuvant chemotherapy (ACT) on TO and non-TO patients. METHODS: A total of 540 patients who underwent curative-intent resection for GBC at the Department of Hepatobiliary Surgery of the First Affiliated Hospital of Xi'an Jiaotong University from January 2011 to December 2020 were retrospectively analyzed. Multivariable logistic regression was used to investigate the factors associated with TO. RESULTS: Among 540 patients with GBC who underwent curative-intent resection, 223 patients (41.3%) achieved a TO. The incidence of TO ranged from 19.0% to 51.0% across the study period, with a slightly increasing trend over the study period. The multivariate analysis showed that non-TO was an independent risk factor for prognosis among GBC patients after resection ( P = 0.003). Age ≤60 years ( P = 0.016), total bilirubin (TBIL) level ≤34.1 μmol/L ( P <0.001), well-differentiated tumor ( P = 0.008), no liver involvement ( P <0.001), and T1-2 stage disease ( P = 0.006) were independently associated with achieving a TO for GBC after resection. Before and after propensity score matching (PSM), the overall survival outcomes of non-TO GBC patients who received ACT and those who did not were statistically significant; ACT improved the prognosis of patients in the non-TO group ( P <0.05). CONCLUSION Achieving a TO is associated with a better long-term prognosis among GBC patients after curative-intent resection, and ACT can improve the prognosis of those with non-TO.
Humans ; Middle Aged ; Gallbladder Neoplasms/pathology* ; Retrospective Studies ; Prognosis ; Hepatectomy ; Cholecystectomy

Suffering is prevalent in the palliative care population and is an important factor affecting the quality of life of palliative care patients and their family caregivers. In this paper, we review the assessment content, measurement methods, current application status and advantages and disadvantages of suffering assessment tools for palliative care patients, analyze the problems of current suffering assessment tools for palliative care patients and make suggestions, aiming to provide reference for palliative suffering treatment in China.

Objective: To investigate the sleep and mental health status of adolescents in Shandong Province, to explore the correlation between sleep and mental health, so as to provide a basis for adolescent physical and mental health management. Methods: From February to March 2023,a multistage stratified whole cluster sampling method was used to randomly select 3 cities in Shandong Province, one urban area and one township in each city, one junior high school and one senior high school in the urban area and the township, respectively, and then 4 classes were randomly selected from each grade level of each school, and all 3 667 students in the classes were surveyed by using the Pittsburgh Sleep Quality Index Scale (PSQI) short form and the Chinese Middle School Students Mental Health Inventory (MMHI-60). Results: The prevalence of sleep deprivation among adolescents in Shandong Province was 37.44%, and the detection rate of psychological problems was 46.41%. Adolescent psychology could be divided into four latent categories:psychological immune group (39.6%), psychological low risk group (12.2%), psychological medium risk group (13.2%) and psychological high risk group (35.0%). Multifactorial Logistic regression analyses showed that gender, school year, sleep duration and sleep quality were influencing factors for the psychological latent categories ( OR =1.39-9.55, P < 0.05 ), and that adolescents with sleep deprivation and poor sleep quality were more inclined to be classified as being in the psychological medium and high risk groups. Conclusions The sleep and mental health of adolescents in Shandong Province is not very good. Comprehensive prevention and control of psychological problems should not only focus on personality and psychological characteristics, but also need to be combined with the sleep condition of adolescents.

Objective:To investigate the prognostic value of using preoperative serum albumin-related biomarkers in gallbladder carcinoma (GBC) patients after resection.Methods:The clinical data of patients who underwent curative-intent resection for GBC at the Department of Hepatobiliary Surgery of the First Affiliated Hospital of Xi’an Jiaotong University from January 2011 to December 2020 were retrospectively analyzed. Of 427 patients who were included in this study, there were 131 males and 296 females, aged (61.75±10.69) years old, range 30 to 87 years old. The 427 patients were divided into the training set ( n=300) and the testing set ( n=127). The training set was used to develop the nomogram model, and the testing set was used to evaluate its predictive ability. The X-Tile software was used to determine the best cut-off values for prognostic nutritional index (PNI), platelet to albumin ratio (PAR), fibrinogen to albumin ratio (FAR), and albumin to γ-glutamyl transpeptidase ratio (AGR). Based on the independent risk factors screened by the Cox proportional hazards regression model, the nomogram survival prediction model was developed by the rms installation package of the R software. The predictive ability of the nomogram was assessed by C-index and calibration curve. Results:The best cut-off values of PNI, PAR, FAR, and AGR were determined to be 44.0, 6.25×10 9/g, 0.08, and 2.03 g/U, respectively. FAR was better than PNI, PAR and AGR in predicting prognosis of patients after radical resection of GBC. Multivariate analysis showed that FAR>0.08 ( HR=2.124, 95% CI: 1.424-3.168), CEA>5.0 ng/ml ( HR=1.577, 95% CI: 1.047-2.375), CA-125>35.0 U/ml ( HR=1.454, 95% CI: 1.031-2.179), N1-2 stage ( HR=2.074, 95% CI: 1.420-3.029), major vascular invasion ( HR=3.292, 95% CI: 1.640-6.608), perineural infiltration ( HR=1.781, 95% CI: 1.045-3.034) and poor tumor differentiation ( HR=6.100, 95% CI: 2.753-13.515) were independent risk factors affecting prognosis of GBC after radical resection ( P<0.05). The C-index of the nomogram model was 0.790 (95% CI: 0.779-0.801) and 0.771 (95% CI: 0.754-0.788) in the training set and the testing set, respectively. Conclusion:Preoperative FAR had a good predictive ability for overall survival in patients with gallbladder carcinoma after radical resection, and it could be used for prognostic evaluation.

Objective:To explore the application effect of BOPPPS teaching model and "Internet + WeChat" platform in the teaching of Clinical Pharmacology.Methods:Undergraduate students from two consecutive batches of clinical medicine in Wuhan University were selected as the control group and the experimental group. The control group adopted the traditional teaching method, and the experimental group adopted the BOPPPS teaching model combined with the "Internet + WeChat" platform. SPSS 12.0 was used for t test. Results:The scores of the final test in the experimental group and the control group were (86.34±7.36) and (80.77±9.21), respectively, with statistical significance ( P<0.05). For the questions of clinical case analysis, with a total score of 20 points, the scores of the experimental group students (13.31±2.25) were significantly higher than those of the control group (10.58±3.04), with significant difference ( P<0.001). Conclusion:The application of BOPPPS model and "Internet + WeChat" platform in the undergraduate teaching of Clinical Pharmacology could improve students' examination performance, and especially the ability of solving clinical problems comprehensively.