Objective To explore the risk factors for postoperative respiratory failure (RF) in patients with esophageal cancer, construct a predictive model based on the least absolute shrinkage and selection operator (LASSO)-logistic regression, and visualize the constructed model. Methods A retrospective analysis was conducted on patients with esophageal cancer who underwent surgical treatment in the Department of Thoracic Surgery, Sun Yat-sen University Cancer Center Gansu Hospital from 2020 to 2023. Patients were divided into a RF group and a non-RF (NRF) group according to whether RF occurred after surgery. Clinical data of the two groups were collected, and LASSO-logistic regression was used to optimize feature selection and construct the predictive model. The model was internally validated by repeated sampling 1000 times based on the Bootstrap method. Results A total of 217 patients were included, among which 24 were in the RF group, including 22 males and 2 females, with an average age of (63.33±9.10) years; 193 were in the NRF group, including 161 males and 32 females, with an average age of (62.14±8.44) years. LASSO-logistic regression analysis showed that the percentage of forced expiratory volume in one second/forced vital capacity (FEV1/FVC) to predicted value (FEV1/FVC%pred) [OR=0.944, 95%CI (0.897, 0.993), P=0.026], postoperative anastomotic fistula [OR=4.106, 95%CI (1.457, 11.575), P=0.008], and postoperative lung infection [OR=3.776, 95%CI (1.373, 10.388), P=0.010] were risk factors for postoperative RF in patients with esophageal cancer. Based on the above risk factors, a predictive model was constructed, with an area under the receiver operating characteristic curve of 0.819 [95%CI (0.737, 0.901)]. The Hosmer-Lemeshow test for the calibration curve showed that the model had good goodness of fit (P=0.527). The decision curve showed that the model had good clinical net benefit when the threshold probability was between 5% and 50%. Conclusion FEV1/FVC%pred, postoperative anastomotic fistula, and postoperative lung infection are risk factors for postoperative RF in patients with esophageal cancer. The predictive model constructed based on LASSO-logistic regression analysis is expected to help medical staff screen high-risk patients for early individualized intervention.

Objective:To investigate the efficacy and safety of oral maintenance therapy with tegafur for residual lesions in patients with locally advanced esophageal squamous cell carcinoma (ESCC) after chemoradiotherapy.Methods:A retrospective cohort study was conducted. A total of 38 patients with locally advanced ESCC who had residual lesions after receiving albumin bound paclitaxel combined with platinum chemoradiotherapy from March 2019 to September 2021 in Jiangsu Province Suqian Hospital were selected. All patients were divided into the maintenance treatment group (20 cases) and the non-maintenance treatment group (18 cases) based on whether they received oral maintenance therapy with tegafur after chemoradiotherapy. The progression-free survival (PFS) of both groups was compared and the adverse reactions of the maintenance treatment group were analyzed.Results:There were no statistically significant differences in baseline data between the 2 groups (both P > 0.05). The 1, 2, 3-year PFS rates for the maintenance treatment group were 95.0%, 78.1%, and 58.3%, respectively, with a median PFS time of 33.65 months (95% CI: 29.04-38.26 months); the 1, 2, 3-year PFS rates in the non-maintenance treatment group were 88.9%, 54.5%, and 12.1%, respectively, with a median PFS time of 25.08 months (95% CI: 20.97-29.18 months); there was a statistically significant difference in PFS between the 2 groups ( χ2 = 5.36, P = 0.021). The common adverse reactions in the maintenance treatment group included hematological adverse reactions, hand foot syndrome, decreased appetite, and fatigue. The more common adverse reactions were neutropenia [85.0% (17/20)] and leukopenia [65.0% (13/20)]; 9 cases experienced grade 3-4 adverse reactions, which were relieved by adjusting the dosage or discontinuing the medication. Conclusions:Oral maintenance therapy with tegafur may improve the survival of ESCC patients with residual lesions after chemoradiotherapy and the adverse reactions are controllable.

Objective The sample hospital is currently in the exploration stage of creating patient satisfaction service un-der the one-hospital and multi-district management mode.In order to improve the overall feeling of patients in the process of hos-pital treatment,the application effect of the existing all-round full-cycle patient service intelligent management platform in the hos-pital is quantitatively evaluated,so as to better improve the service mode.Methods A survey was conducted to collect satisfac-tion data from two groups:the experimental group,which utilized the comprehensive and full-cycle patient service intelligent man-agement platform for diagnosis and treatment services,and the control group,which followed the conventional patient admission and discharge process.The work efficiency number was obtained and calculated through the background of the system,including the average time to handle hospitalization procedures,the average waiting time for examination,the average time to handle dis-charge procedures,the time spent on each follow-up visit and the response rate of follow-up patients.The data were analyzed sta-tistically.Results The work efficiency of the experimental group was significantly better than that of the control group,and the satisfaction of hospitalized patients and staff was higher than that of the control group.Conclusion The application of the com-prehensive and full-cycle patient service intelligent management platform can improve the satisfaction of patients and staff,opti-mize the efficiency of treatment,and better serve the management mode of one hospital and multiple districts.

Objective:To develop a Recurrence Fear Scale for Patients with Atrial Fibrillation after Catheter Ablation and conduct psychometric testing for its reliability and validity.Methods:Based on the common-sense model of self-regulation, the scale was developed through a literature review and semi-structured interviews to construct an item pool. The scale draft was formed through expert consultation and a pre-survey. Using convenience sampling, 361 patients with atrial fibrillation who had undergone catheter ablation and were either hospitalized or attending outpatient follow-up at the Department of Cardiology, Affiliated Hospital of Qingdao University, between January and March 2024, were selected for questionnaire survey. Item analysis and reliability and validity tests were performed on the scale.Results:Exploratory factor analysis identified five common factors, with a cumulative variance contribution rate of 74.375%. Confirmatory factor analysis showed good model fit. The final scale included five dimensions and 24 items: trigger factors, recurrence risk perception, disease uncertainty, psychological burden, and coping strategies. The content validity index at the scale level was 0.864, and the item-level content validity index ranged from 0.684 to 0.947. The Cronbach's α coefficient of the scale was 0.919, the split-half reliability coefficient was 0.834, and the test-retest reliability coefficient was 0.872.Conclusions:The development of the Recurrence Fear Scale for Patients with Atrial Fibrillation after Catheter Ablation is scientific and standardized, and the scale has good reliability and validity. It can effectively assess the level of recurrence fear in these patients.

Objective The sample hospital is currently in the exploration stage of creating patient satisfaction service un-der the one-hospital and multi-district management mode.In order to improve the overall feeling of patients in the process of hos-pital treatment,the application effect of the existing all-round full-cycle patient service intelligent management platform in the hos-pital is quantitatively evaluated,so as to better improve the service mode.Methods A survey was conducted to collect satisfac-tion data from two groups:the experimental group,which utilized the comprehensive and full-cycle patient service intelligent man-agement platform for diagnosis and treatment services,and the control group,which followed the conventional patient admission and discharge process.The work efficiency number was obtained and calculated through the background of the system,including the average time to handle hospitalization procedures,the average waiting time for examination,the average time to handle dis-charge procedures,the time spent on each follow-up visit and the response rate of follow-up patients.The data were analyzed sta-tistically.Results The work efficiency of the experimental group was significantly better than that of the control group,and the satisfaction of hospitalized patients and staff was higher than that of the control group.Conclusion The application of the com-prehensive and full-cycle patient service intelligent management platform can improve the satisfaction of patients and staff,opti-mize the efficiency of treatment,and better serve the management mode of one hospital and multiple districts.

Objective:To develop a Recurrence Fear Scale for Patients with Atrial Fibrillation after Catheter Ablation and conduct psychometric testing for its reliability and validity.Methods:Based on the common-sense model of self-regulation, the scale was developed through a literature review and semi-structured interviews to construct an item pool. The scale draft was formed through expert consultation and a pre-survey. Using convenience sampling, 361 patients with atrial fibrillation who had undergone catheter ablation and were either hospitalized or attending outpatient follow-up at the Department of Cardiology, Affiliated Hospital of Qingdao University, between January and March 2024, were selected for questionnaire survey. Item analysis and reliability and validity tests were performed on the scale.Results:Exploratory factor analysis identified five common factors, with a cumulative variance contribution rate of 74.375%. Confirmatory factor analysis showed good model fit. The final scale included five dimensions and 24 items: trigger factors, recurrence risk perception, disease uncertainty, psychological burden, and coping strategies. The content validity index at the scale level was 0.864, and the item-level content validity index ranged from 0.684 to 0.947. The Cronbach's α coefficient of the scale was 0.919, the split-half reliability coefficient was 0.834, and the test-retest reliability coefficient was 0.872.Conclusions:The development of the Recurrence Fear Scale for Patients with Atrial Fibrillation after Catheter Ablation is scientific and standardized, and the scale has good reliability and validity. It can effectively assess the level of recurrence fear in these patients.

Objective:To investigate the efficacy and safety of oral maintenance therapy with tegafur for residual lesions in patients with locally advanced esophageal squamous cell carcinoma (ESCC) after chemoradiotherapy.Methods:A retrospective cohort study was conducted. A total of 38 patients with locally advanced ESCC who had residual lesions after receiving albumin bound paclitaxel combined with platinum chemoradiotherapy from March 2019 to September 2021 in Jiangsu Province Suqian Hospital were selected. All patients were divided into the maintenance treatment group (20 cases) and the non-maintenance treatment group (18 cases) based on whether they received oral maintenance therapy with tegafur after chemoradiotherapy. The progression-free survival (PFS) of both groups was compared and the adverse reactions of the maintenance treatment group were analyzed.Results:There were no statistically significant differences in baseline data between the 2 groups (both P > 0.05). The 1, 2, 3-year PFS rates for the maintenance treatment group were 95.0%, 78.1%, and 58.3%, respectively, with a median PFS time of 33.65 months (95% CI: 29.04-38.26 months); the 1, 2, 3-year PFS rates in the non-maintenance treatment group were 88.9%, 54.5%, and 12.1%, respectively, with a median PFS time of 25.08 months (95% CI: 20.97-29.18 months); there was a statistically significant difference in PFS between the 2 groups ( χ2 = 5.36, P = 0.021). The common adverse reactions in the maintenance treatment group included hematological adverse reactions, hand foot syndrome, decreased appetite, and fatigue. The more common adverse reactions were neutropenia [85.0% (17/20)] and leukopenia [65.0% (13/20)]; 9 cases experienced grade 3-4 adverse reactions, which were relieved by adjusting the dosage or discontinuing the medication. Conclusions:Oral maintenance therapy with tegafur may improve the survival of ESCC patients with residual lesions after chemoradiotherapy and the adverse reactions are controllable.

Objective To construct a usability scale for smart hospital platforms based on Quality of Experience(QoE)theory,and provide scientific measurement tool for the construction,operation,and improvement of smart hospitals.Method Literature review,focus meeting method,and pre survey were used to screen and revise the scale items,forming a formal scale.Using convenience sampling method,1 000 users from 8 smart hospital platforms in Shandong Province were selected as the research subjects to evaluate the reliability and validity of the scale.Result The availability scale of the smart hospital platform includes 6 dimensions and 24 items.Exploratory factor extraction identified 6 common factors,with a cumulative variance contribution rate of 64.045%.The overall Cronbach's with a coefficient of 0.941 for 6 dimensions.The coefficient is between 0.782 and 0.963,and the retest reliability is 0.967.The Average Standardized Content Validity Index is 0.972,and the Item-level Content Validity Index is between 0.86 and 1.00.The correlation coefficient between the six dimensions of the scale and the System Usability Scale is 0.606-0.653,and the overall correlation coefficient is 0.647.Conclusion The usability scale of the smart hospital platform developed based on QoE theory has good reliability and validity,and can be used to measure the user experience of the smart hospital platform.

Objective To construct a usability scale for smart hospital platforms based on Quality of Experience(QoE)theory,and provide scientific measurement tool for the construction,operation,and improvement of smart hospitals.Method Literature review,focus meeting method,and pre survey were used to screen and revise the scale items,forming a formal scale.Using convenience sampling method,1 000 users from 8 smart hospital platforms in Shandong Province were selected as the research subjects to evaluate the reliability and validity of the scale.Result The availability scale of the smart hospital platform includes 6 dimensions and 24 items.Exploratory factor extraction identified 6 common factors,with a cumulative variance contribution rate of 64.045%.The overall Cronbach's with a coefficient of 0.941 for 6 dimensions.The coefficient is between 0.782 and 0.963,and the retest reliability is 0.967.The Average Standardized Content Validity Index is 0.972,and the Item-level Content Validity Index is between 0.86 and 1.00.The correlation coefficient between the six dimensions of the scale and the System Usability Scale is 0.606-0.653,and the overall correlation coefficient is 0.647.Conclusion The usability scale of the smart hospital platform developed based on QoE theory has good reliability and validity,and can be used to measure the user experience of the smart hospital platform.

Objective To construct a usability scale for smart hospital platforms based on Quality of Experience(QoE)theory,and provide scientific measurement tool for the construction,operation,and improvement of smart hospitals.Method Literature review,focus meeting method,and pre survey were used to screen and revise the scale items,forming a formal scale.Using convenience sampling method,1 000 users from 8 smart hospital platforms in Shandong Province were selected as the research subjects to evaluate the reliability and validity of the scale.Result The availability scale of the smart hospital platform includes 6 dimensions and 24 items.Exploratory factor extraction identified 6 common factors,with a cumulative variance contribution rate of 64.045%.The overall Cronbach's with a coefficient of 0.941 for 6 dimensions.The coefficient is between 0.782 and 0.963,and the retest reliability is 0.967.The Average Standardized Content Validity Index is 0.972,and the Item-level Content Validity Index is between 0.86 and 1.00.The correlation coefficient between the six dimensions of the scale and the System Usability Scale is 0.606-0.653,and the overall correlation coefficient is 0.647.Conclusion The usability scale of the smart hospital platform developed based on QoE theory has good reliability and validity,and can be used to measure the user experience of the smart hospital platform.