Objective To study the role of Healthcare Failure Mode and Effect Analysis(HFMEA)in reducing the risk of healthcare-associated infection.Methods Using HFMEA to identify,analyze and evaluate the risks leading to hospital infec-tions,screening out the high-risk events of hospital infections,ultimately determining cleaning management,hand hygiene,and management of patients with multi-drug resistant bacteria as 3 failure modes,and identifying 9 items such as poor personnel ac-ceptance ability as potential failure causes,implementing risk control and intervention for them,and comparing the effects before and after the improvement.Results Except for the potential failure cause of weak awareness of hospital-acquired infections a-mong cleaning staff,the RPN values of the other eight potential failure causes showed significant differences after HFMEA inter-vention(P＜0.05).The compliance rate of hand hygiene,the cleaning qualification rate of cleaning staff were both improved,and the differences were statistically significant(P＜0.01).In terms of the management of patients with multi-drug resistant bac-teria,the implementation rate of isolation measures,the standardization of cleaning,the standardization of medical procedures,the compliance rate of hand hygiene and the qualification rate of accompanying education for caregivers all significantly increased(P＜0.05).Conclusion HFMEA can effectively control the risk of hospital-acquired infections to a certain extent and reduce the occurrence of hospital-acquired infection events.

Objective:To evaluate the impact of implementing a regional hierarchical medical management model based on the medical internet of things (medical IoT) on the frequency of emergency department visits and hospitalizations, as well as related medical expenses, in patients with chronic obstructive pulmonary disease (COPD).Methods:This retrospective study included COPD patients enrolled in the regional hierarchical medical management system based on Medical IoT across 21 community health service centers in Songjiang District, Shanghai, between July 2017 and May 2018. Utilizing patient data from the year prior to enrollment as the baseline, changes in the number of emergency visits, hospitalizations, and associated medical costs during the first and second years of management were compared. Changes for patients receiving drug treatment were also analyzed.Results:A total of 973 COPD patients were enrolled. The mean age was 75.2±17.0 years, and 64.34% (626/973) were male. Compared to baseline, all COPD patients in the first year of management showed significant reductions: emergency visits decreased by 33.67%, total emergency costs by 45.60%, hospitalizations by 27.15%, and total hospitalization costs by 25.42%. In the second year, reductions were: emergency visits by 28.08%, total emergency costs by 36.10%, hospitalizations by 35.26%, and total hospitalization costs by 18.13% (all P<0.05). Among patients receiving drug therapy, reductions in the first year were: emergency visits by 39.66%, total emergency costs by 47.54%, hospitalizations by 25.19%, and total hospitalization costs by 28.40%. In the second year, reductions were: emergency visits by 46.98%, total emergency costs by 45.99%, hospitalizations by 41.98%, and total hospitalization costs by 24.94% (all P<0.05). No significant differences were observed before and after management for patients without drug treatment. Conclusion:The implementation of the regional hierarchical medical management model based on Medical IoT significantly reduced the frequency of emergency visits and hospitalizations, as well as related costs, for COPD patients.

BACKGROUND: Parkinson's disease (PD) is a leading cause of death and disability worldwide, and is associated with a significant Global Burden of Disease (GBD). We analyzed the trends in PD incidence, mortality, and disability-adjusted life year (DALY) burden in China, and compared them with global data. METHODS: Estimates and 95% uncertainty intervals (UIs) for incidence, mortality, DALYs, years lived with disability (YLDs), and years of life lost (YLLs) for PD were extracted from the GBD, Injuries, and Risk Factors Study 2021. We describe the epidemiology of PD at global and Chinese levels, analyze trends in incidence and mortality from 1990 to 2021 by joinpoint regression models, and decompose PD burden according to population size, age structure, and epidemiological changes. RESULTS: GBD 2021 estimated 508,378 (95% UI: 430,499-592,748) incident cases of PD, 92,035 (95% UI: 75,908-108,133) deaths, and 2,159,514 (95% UI: 1,826,196-2,521,344) DALYs in China, with the higher age-standardized rate (ASR) in incidence, mortality and DALYs than the global levels. The DALY burden of PD in China increased slightly from 1990 to 2021, consistent with the global upward trend. Joinpoint regression analysis indicated that the ASR of incidence in China increased faster than the global average, while the ASR of mortality decreased, with the fastest decline in 2004-2014. Decomposition analysis revealed that men and the middle sociodemographic index (SDI) quintile (32.82%) were responsible for the most significant DALYs, whose changes were primarily driven by population growth and aging. CONCLUSIONS The burden of PD showed an overall increasing trend from 1990 to 2021, which was primarily driven by population growth and aging. This study highlights the significant challenges in controlling and managing PD, including the increase in cases and gender differences, which may provide guidance for comprehensive strategies to address the changing profiles of PD in China.
Humans ; Parkinson Disease/mortality* ; China/epidemiology* ; Global Burden of Disease ; Male ; Incidence ; Female ; Disability-Adjusted Life Years ; Middle Aged ; Aged ; Adult ; Quality-Adjusted Life Years ; Aged, 80 and over ; Cost of Illness ; Adolescent ; Pattern Analysis, Machine

Objective To study the role of Healthcare Failure Mode and Effect Analysis(HFMEA)in reducing the risk of healthcare-associated infection.Methods Using HFMEA to identify,analyze and evaluate the risks leading to hospital infec-tions,screening out the high-risk events of hospital infections,ultimately determining cleaning management,hand hygiene,and management of patients with multi-drug resistant bacteria as 3 failure modes,and identifying 9 items such as poor personnel ac-ceptance ability as potential failure causes,implementing risk control and intervention for them,and comparing the effects before and after the improvement.Results Except for the potential failure cause of weak awareness of hospital-acquired infections a-mong cleaning staff,the RPN values of the other eight potential failure causes showed significant differences after HFMEA inter-vention(P＜0.05).The compliance rate of hand hygiene,the cleaning qualification rate of cleaning staff were both improved,and the differences were statistically significant(P＜0.01).In terms of the management of patients with multi-drug resistant bac-teria,the implementation rate of isolation measures,the standardization of cleaning,the standardization of medical procedures,the compliance rate of hand hygiene and the qualification rate of accompanying education for caregivers all significantly increased(P＜0.05).Conclusion HFMEA can effectively control the risk of hospital-acquired infections to a certain extent and reduce the occurrence of hospital-acquired infection events.

Objective:To evaluate the impact of implementing a regional hierarchical medical management model based on the medical internet of things (medical IoT) on the frequency of emergency department visits and hospitalizations, as well as related medical expenses, in patients with chronic obstructive pulmonary disease (COPD).Methods:This retrospective study included COPD patients enrolled in the regional hierarchical medical management system based on Medical IoT across 21 community health service centers in Songjiang District, Shanghai, between July 2017 and May 2018. Utilizing patient data from the year prior to enrollment as the baseline, changes in the number of emergency visits, hospitalizations, and associated medical costs during the first and second years of management were compared. Changes for patients receiving drug treatment were also analyzed.Results:A total of 973 COPD patients were enrolled. The mean age was 75.2±17.0 years, and 64.34% (626/973) were male. Compared to baseline, all COPD patients in the first year of management showed significant reductions: emergency visits decreased by 33.67%, total emergency costs by 45.60%, hospitalizations by 27.15%, and total hospitalization costs by 25.42%. In the second year, reductions were: emergency visits by 28.08%, total emergency costs by 36.10%, hospitalizations by 35.26%, and total hospitalization costs by 18.13% (all P<0.05). Among patients receiving drug therapy, reductions in the first year were: emergency visits by 39.66%, total emergency costs by 47.54%, hospitalizations by 25.19%, and total hospitalization costs by 28.40%. In the second year, reductions were: emergency visits by 46.98%, total emergency costs by 45.99%, hospitalizations by 41.98%, and total hospitalization costs by 24.94% (all P<0.05). No significant differences were observed before and after management for patients without drug treatment. Conclusion:The implementation of the regional hierarchical medical management model based on Medical IoT significantly reduced the frequency of emergency visits and hospitalizations, as well as related costs, for COPD patients.

Objective:To investigate respiratory virus infection in children with septic shock in pediatric care units (PICU) in China and its influence on clinical outcomes.Methods:The clinical data of children with septic shock in children′s PICU from January 2018 to December 2019 in 10 Chinese hospitals were retrospectively collected. They were divided into the pre-COVID-19 and post-COVID-19 groups according to the onset of disease, and the characteristics and composition of respiratory virus in the 2 groups were compared. Matching age, malignant underlying diseases, bacteria, fungi and other viruses, a new database was generated using 1∶1 propensity score matching method. The children were divided into the respiratory virus group and non-respiratory virus group according to the presence or absence of respiratory virus infection; their clinical characteristics, diagnosis, and treatment were compared by t-test, rank sum test and Chi-square test. The correlation between respiratory virus infection and the clinical outcomes was analyzed by logistic regression. Results:A total of 1 247 children with septic shock were included in the study, of them 748 were male; the age was 37 (11, 105) months. In the pre-and post-COVID-19 groups, there were 530 and 717 cases of septic shock, respectively; the positive rate of respiratory virus was 14.9% (79 cases) and 9.8% (70 cases); the seasonal distribution of septic shock was 28.9% (153/530) and 25.9% (185/717) in autumn, and 30.3% (161/530) and 28.3% (203/717) in winter, respectively, and the corresponding positive rates of respiratory viruses were 19.6% (30/153) and 15.7% (29/185) in autumn, and 21.1% (34/161) and 15.3% (31/203) in winter, respectively. The positive rates of influenza virus and adenovirus in the post-COVID-19 group were lower than those in the pre-COVID-19 group (2.1% (15/717) vs. 7.5% (40/530), and 0.7% (5/717) vs. 3.2% (17/530), χ2=21.51 and 11.08, respectively; all P<0.05). Rhinovirus virus were higher than those in the pre-Covid-19 group (1.7% (12/717) vs. 0.2% (1/530), χ2=6.51, P=0.011). After propensity score matching, there were 147 cases in both the respiratory virus group and the non-respiratory virus group. Rate of respiratory failure, acute respiratory distress, rate of disseminated coagulation dysfunction, and immunoglobulin usage of the respiratory virus group were higher than those of non-respiratory virus group (77.6% (114/147) vs. 59.2% (87/147), 17.7% (26/147) vs. 4.1% (6/147), 15.6% (25/147) vs. 4.1% (7/147), and 35.4% (52/147) vs. 21.4% (32/147); χ2=11.07, 14.02, 11.06 and 6.67, all P<0.05); and PICU hospitalization of the former was longer than that of the later (7 (3, 16) vs. 3 (1, 7)d, Z=5.01, P<0.001). Univariate logistic regression analysis showed that the presence of respiratory viral infection was associated with respiratory failure, disseminated coagulation dysfunction, the use of mechanical ventilation, and the use of immunoglobulin and anti-respiratory viral drugs ( OR=2.42, 0.22, 0.25, 0.56 and 1.12, all P<0.05). Conclusions:The composition of respiratory virus infection in children with septic shock is different between pre and post-COVID-19. Respiratory viral infection is associated with organ dysfunction in children with septic shock. Decreasing respiratory viral infection through respiratory protection may improve the clinical outcome of these children.

Objective:To investigate the clinical features, pathogen composition, and prognosis of septic shock in pediatric intensive care units (PICU) in China.Methods:A multicenter retrospective cohort study. A retrospective analysis was conducted on the clinical data of children with septic shock from 10 hospitals in China between January 2018 and December 2021. The clinical features, pathogen composition, and outcomes were collected. Patients were categorized into malignant tumor and non-malignant tumor groups, as well as survival and mortality groups. T test, Mann Whitney U test or Chi square test were used respectively for comparing clinical characteristics and prognosis between 2 groups. Multiple Logistic regression was used to identify risk factors for mortality. Results:A total of 1 247 children with septic shock were included, with 748 males (59.9%) and the age of 3.1 (0.9, 8.8) years. The in-patient mortality rate was 23.2% (289 cases). The overall pathogen positive rate was 68.2% (851 cases), with 1 229 pathogens identified. Bacterial accounted for 61.4% (754 strains) and virus for 24.8% (305 strains). Among all bacterium, Gram negative bacteria constituted 64.2% (484 strains), with Pseudomonas aeruginosa and Enterobacter being the most common; Gram positive bacteria comprised 35.8% (270 strains), primarily Streptococcus and Staphylococcus species. Influenza virus (86 strains (28.2%)), Epstein-Barr virus (53 strains (17.4%)), and respiratory syncytial virus (46 strains (17.1%)) were the top three viruses. Children with malignant tumors were older and had higher pediatric risk of mortality (PRISM) Ⅲ score, paediatric sequential organ failure assessment (pSOFA) score (7.9 (4.3, 11.8) vs. 2.3 (0.8, 7.5) years old, 22 (16, 26) vs. 16 (10, 24) points, 10 (5, 14) vs. 8 (4, 12) points, Z=11.32, 0.87, 4.00, all P<0.05), and higher pathogen positive rate, and in-hospital mortality (77.7% (240/309) vs. 65.1% (611/938), 29.7% (92/309) vs. 21.0% (197/938), χ2=16.84, 10.04, both P<0.05) compared to the non-tumor group. In the death group, the score of PRISM Ⅲ, pSOFA (16 (22, 29) vs. 14 (10, 20) points, 8 (12, 15) vs. 6 (3, 9) points, Z=4.92, 11.88, both P<0.05) were all higher, and presence of neoplastic disease, positive rate of pathogen and proportion of invasive mechanical ventilation in death group were also all higher than those in survival group (29.7% (87/289) vs. 23.2% (222/958), 77.8% (225/289) vs. 65.4% (626/958), 73.7% (213/289) vs. 50.6% (485/958), χ2=5.72, 16.03, 49.98, all P<0.05). Multiple Logistic regression showed that PRISM Ⅲ, pSOFA, and malignant tumor were the independent risk factors for mortality ( OR=1.04, 1.09, 0.67, 95% CI 1.01-1.05, 1.04-1.12, 0.47-0.94, all P<0.05). Conclusions:Bacterial infection are predominant in pediatric septic shock, but viral infection are also significant. Children with malignancies are more severe and resource consumptive. The overall mortality rate for pediatric septic shock remains high, and mortality are associated with malignant tumor, PRISM Ⅲ and pSOFA scores.

Objective:To compare the efficacy of endoscopy and surgery in chronic pancreatitis.Methods:CNKI, CBM, Wanfang, PubMed, Cochrane Library, Embase and Web of Science were searched to compared endoscopy and surgery for the clinical efficacy of chronic pancreatitis. Literatures were searched from the establishment of the database to August 14, 2022. Compared pain relief, clinical response to initial treatment, complications, endocrine/exocrine insufficiency, length of hospital stay and mean number of procedures between the two groups. Manager 5.4.1 software was used for data analysis. Odds ratio ( OR) or weighted mean difference ( WMD) was calculated with 95% confidence interval (95% CI). Results:A total of seven studies were included, including three randomized controlled trials and four retrospective studies with 708 patients. There were 513 males and 195 females. Endoscopic interventions were performed in 364 patients and 344 patients underwent surgery. The results of meta-analysis showed that the total pain relief rate ( OR=0.38, 95% CI: 0.24-0.59) and the complete pain relief rate ( OR=0.47, 95% CI: 0.29-0.77), short-term (1-1.5 years) pain relief rate ( OR=0.42, 95% CI: 0.24-0.74), clinical relief rate ( OR=0.23, 95% CI: 0.10-0.55) were better than the endoscopic group, and could significantly reduce the number of reoperation ( WMD=1.64, 95% CI: 0.89-2.40), and the difference was statistically significant (all P<0.05). There were no significant differences in complications, new-onset endocrine insufficiency, new-onset exocrine insufficiency and length of hospital stay between the endoscopy group and the surgical group (all P>0.05). Conclusion:Surgical intervention is superior to endoscopic treatment in controlling pain associated with chronic pancreatitis and in clinical relief after the first treatment, and can effectively reduce the number of reoperations.

Objective:To explore the application of step-by-step mentorship combined with individualized assessment in practical nursing skill training in higher vocational colleges.Methods:A total of 219 nursing students of Class 2020 were selected from a higher vocational college; they were randomly divided into control group (107 students) and experimental group (112 students), both of which were offered nursing training courses in the first semester. The control group was offered conventional teaching, while the experimental group was offered step-by-step mentorship combined with individualized assessment. The two groups were compared for post-training assessment scores of theoretical knowledge and practical skills and pre-training and post-training comprehensive nursing ability as well as their recognition of the teaching methods after training. The t-test and chi-square test were performed using SPSS 22.0. Results:The post-training assessment scores of theoretical knowledge and practical skills were significantly higher in both subitem score [(89.68±3.58) vs. (82.56±3.35)] and total score [(91.75±3.01) vs. (85.36±2.58)] in the experimental group than in the control group ( P<0.05). There were no significant differences in pre-training comprehensive nursing ability between the two groups, while the post-training comprehensive nursing ability scores were significantly higher in both subitem score and total score [(86.53±2.61) vs. (80.32±2.31)] in the experimental group than in the control group ( P<0.05). After the training, students in the experimental group showed increased recognition of the teaching methods in stimulating their learning interest and initiative, improving their self-learning ability, improving their comprehensive literacy, improving their ability to apply theoretical knowledge, and improving their clinical thinking ability compared with the control group ( P<0.05). Conclusion:The application of step-by-step mentorship combined with individualized assessment in practical nursing skill training in higher vocational colleges can improve students' academic performance and comprehensive nursing ability and increase their recognition of the teaching methods, thus making it worthwhile to be widely adopted.

Objective:To analyze the risk factors for postoperative delirium in patients with glioma, and construct and validate a nomogram prediction model.Methods:A total of 304 glioma surgery patients admitted to the Department of Neurosurgery of Shandong Provincial Hospital from January 2021 to January 2022 were involved in this research. The training set (234 patients) and the validation set (70 patients) were divided according to the leave-out method. Patients in the training set and validation set were divided into delirium and non-delirium groups using the confusion assessment method (CAM) as the criteria.Clinical data of patients in the two study groups in the training set were analyzed.The risk factors for postoperative delirium were clarified by Logistic regression analysis, and an early warning model for postoperative delirium in glioma was established. The calibration curve and ROC curve were used for internal and external validation in the training set and validation set to evaluate the accuracy and discrimination of the prediction model.Results:Multivariate Logistic regression analysis showed that age>60 ( OR=4.089, 95% CI=1.898-9.103, P<0.001), diabetes ( OR=2.825, 95% CI=1.316-6.186, P=0.008), hypertension ( OR=2.176, 95% CI=1.041-4.587, P=0.008), smoking ( OR=2.432, 95% CI=1.063-5.648, P=0.036), history of epileptic seizures ( OR=4.457, 95% CI=1.924-10.689, P=0.001), poor lung function ( OR=2.452, 95% CI=1.132-5.374, P=0.023), visual analog scale (VAS)>7 points ( OR=3.394, 95% CI=1.591-7.456, P=0.002), anxiety or depression ( OR=2.746, 95% CI=1.285-5.976, P=0.010) and operation duration>4 h ( OR=2.731, 95% CI=1.255-6.062, P=0.012) were the independent risk factors of brain glial postoperative delirium.Based on the above risk factors a nomogram nursing early warning model was established.The area under the ROC curve (AUC) of internal verification was 0.852, and AUC of external verification was 0.914. Conclusion:The early-warning model for postoperative delirium in glioma patients can effectively predict the risk of delirium after glioma surgery, and it has certain clinical promotion value.