ObjectiveTo investigate the psychological status and its influencing factors of hospital staff during the outbreak of coronavirus disease 2019 (COVID-19), and provide a reference for psychological intervention strategies for hospital staff in public health emergencies.MethodsIn this cross-sectional study, we investigated the staff of Mianzhu People’s Hospital through an anonymous questionnaire survey sent through WeChat group from February 13th to 18th, 2020, to analyze the psychological situation and influencing factors of the on-the-job staff. SPSS 22.0 software was used for statistical analysis.ResultsAmong the 1 115 staff members who met the inclusion criteria, 951 completed the questionnaire, with a response rate of 85.3%. There were 945 valid questionnaires, with an effective response rate of 84.8%. A total of 224 staff members (23.7%) had mental health problems. Multivariate logistic regression analysis showed that the total scores of social support [odds ratio (OR)=0.869, 95% confidence interval (CI) (0.805, 0.938), P<0.001] and the total scores of stress coping strategies [OR=0.685, 95%CI (0.607, 0.772), P<0.001] were protective factors of psychological status, while having kids [OR=1.607, 95%CI (1.084, 2.382), P=0.018] and the position being logistic worker [OR=2.229, 95%CI (1.326, 3.746), P=0.002] were risk factors of psychological status.ConclusionsDuring the outbreak of COVID-19, mental health problems emerged among the staff of designated medical treatment hospital. When a public health emergency occurs, hospitals and relevant departments should take psychological intervention measures as soon as possible to ensure the work of epidemic prevention and control.
Objective To analyze the current state, evaluate the accuracy, and determine the influencing factors of hypertension-related subscriptions from official health WeChat accounts. Methods The 36 official health WeChat accounts on the WeChat official accounts monthly list │ September 2022 China WeChat Top 500·New Rank certification were searched using the term "hypertension". We identified diabetes-related subscriptions published from April 1, 2022 to September 30, 2022. The accuracy of subscriptions was analyzed according to the consistency with clinical practice guidelines and was independently assessed by two specialists. SPSS 22.0 software was used for data analysis. Results One hundred and one subscriptions from 36 official health WeChat accounts were included. Forty-seven (46.5%) subscriptions were evaluated as consistent, seven (6.9%) subscriptions were evaluated as inconsistent, and forty-seven (46.5%) subscriptions were evaluated as unconfirmed. The differences between the numbers of reads, "wow" and "like" per thousand reads, were statistically significant. Consistency rates were higher for tweets backed by evidence and experts, and for tweets posted by public figures with the accreditation type "government". Conclusion Hypertension tweets have a good audience base, some of the content is inconsistent with current clinical guideline recommendations, and readers have little ability to screen them. There is a need to develop and improve the review mechanism for writing and publishing hypertension tweets on WeChat.
目的：提高门诊糖尿病患者自我保健意识。方法：通过门诊保健教育方式对门诊糖尿病患者进行心理疗法、饮食疗法、运动疗法、药物疗法方面的指导。结果：通过健康教育，患者将有一个较好的心态很好地配合医生积极治疗。结论：门诊护理对提高糖尿病患者的自觉意识的作用是不可忽视的。
Objective To analyse the content and structure of the health management policy text for chronic obstructive pulmonary disease (COPD) in China, and to provide a reference for the optimization and improvement of subsequent relevant policies. Methods We searched for relevant policy documents on COPD health management at the national level from January 2017 to December 2023, constructed a two-dimensional analysis framework for policy tools and chronic disease health management processes, coded and classified policy texts, and used content analysis method to analyze policy texts. Results Twenty-four policy texts were included. There were 183 codes for policy tool dimension, with supply based, environmental based, and demand based tools accounting for 43.72%, 47.54%, and 8.74%, respectively. There were 124 codes for the dimension of health management processes, with health information collection and management accounting for 12.10%, risk prediction accounting for 14.52%, intervention and treatment accounting for 66.13%, and follow-up and effectiveness evaluation accounting for 7.26%. Conclusions At present, the proportion of policy tools related to the management of COPD in China needs to be dynamically adjusted. Environmental tools should be appropriately reduced, the internal structure of supply tools should be optimized, the driving effect of demand tools should be comprehensively enhanced, the coupling of COPD health management processes should be strengthened, and the relevant policy system and overall quality should be continuously improved.
In recent years, the rapid development of information and communication technology, big data, and artificial intelligence has provided technical support for exploring new medical methods, leading to the emergence of digital therapeutics (DTx). At present, the application of DTx in orthopedics is still in the preliminary exploration stage. Therefore, based on the authors’ experience of applying DTx, this article summarizes the definition and formation process of DTx, as well as the relationship among digital health, digital medicine, and DTx, evaluates the working principles and application effects of existing orthopedic related DTx products, analyzes their shortcomings in the application process, and looks forward to their future development trends, aiming to lay a foundation for the comprehensive development and application of DTx in orthopedics.
Objective To investigate the relationship between estimated glucose disposal rate (eGDR) and the incidence of cardiovascular disease (CVD) in individuals without diabetes and those with diabetes. Methods Participants were drawn from the China Health and Retirement Longitudinal Study from 2011 to 2018. Participants were divided into four subgroups based on quartiles of baseline eGDR. In this study, data were analyzed using Kaplan-Meier survival curves, Cox proportional hazards models, restricted cubic spline curves, subgroup analyses, and receiver operator characteristic curves. Results A total of 6 283 participants were included. Among them, 47.2% are male, with an average age of (59.6±9.5) years; 285 cases (4.5%) had diabetes; there were 1 571 cases in Q1 group, 1 572 cases in Q2 group, 1 583 cases in Q3 group, and 1 557 cases in Q4 group. A total of 761 CVD events occurred. According to the multivariate-adjusted model, baseline eGDR levels were significantly associated with the risk of CVD events (P<0.05). Baseline eGDR was associated with the risk of CVD events in individuals without diabetes (P<0.05), but the results were not entirely consistent for those with diabetes [CVD: hazard ratio (HR)=0.85, 95% confidence interval (CI) (0.75, 0.96), P=0.012; heart disease: HR=0.91, 95%CI (0.78, 1.06), P=0.211; stroke: HR=0.74, 95%CI (0.58, 0.93), P=0.012]. Restricted cubic spline curves revealed significant negative linear relationships between baseline eGDR and CVD, heart disease, and stroke. Subgroup analyses with interaction testing revealed that the association between baseline eGDR and CVD was not modified by age, sex, smoking status, alcohol consumption, or dyslipidemia. Receiver operator characteristic curves further demonstrated that baseline eGDR exhibited significantly better predictive performance than the triglyceride-glucose (TyG) index, obesity indices, and the TyG index-obesity composite. Conclusions Low level baseline eGDR is associated with an increased risk of CVD in individuals without diabetes. This finding may help improve risk stratification to guide preventive measures and enhance the prognosis of CVD.