AIM: To analyze and screen influencing factors of diabetic patients complicated with retinopathy, and establish and validate prediction model of nomogram.METHODS: A total of 1 252 patients from the Diabetes Complications Early Warning Dataset of the National Population Health Data Archive(PHDA)between January 2013 to January 2021 were selected and randomly divided into a modeling group(n=941)and a validation group(n=311). Univariate analysis, LASSO regression and Logistic regression analysis were used to screen out the influencing factors of diabetic retinopathy, and a nomogram prediction model was established. The receiver operating characteristic curve, Hosmer-Lemeshow test and calibration curve were used to evaluate the model. The clinical benefit was evaluated by the decision curve analysis(DCA).RESULTS: Age, hypertension, nephropathy, systolic blood pressure(SBP), glycated hemoglobin(HbA1c), high-density lipoprotein cholesterol(HDL-C), and blood urea(BU)were the influencing factors of diabetic retinopathy. The area under the curve(AUC)of the modeling group was 0.792(95%CI: 0.763-0.821), and the AUC of the validation group was 0.769(95%CI: 0.716-0.822). The Hosmer-Lemeshow goodness of fit test and calibration curve suggested that the theoretical value of the model was in good agreement(modeling group: χ2=14.520, P=0.069; validation group: χ2=14.400, P=0.072). The DCA results showed that the threshold probabilities range was 0.09-0.89 for modeling group and 0.07-0.84 for the validation group, which suggested the clinical net benefit was higher.CONCLUSION: This study constructed a risk prediction model including age, hypertension, nephropathy, SBP, HbA1c, HDL-C, and BU. The model has a high discrimination and consistency, and can be used to predict the risk of diabetic retinopathy in patients with diabetes.

Objective To analyze the risk factors influencing the occurrence of atherosclerosis in patients with type 2 diabetes, and to construct and evaluate a nomogram prediction model. Methods Multivariate logistic regression was used to analyze the risk factors of atherosclerosis in type 2 diabetes mellitus, and R software was used to build a nomogram prediction model. The accuracy and clinical validity of the model were verified by using H-L fit curve, area under ROC curve and calibration curve. Results The prevalence rate of atherosclerosis was 56.37%. Independent risk factors for atherosclerosis in type 2 diabetes mellitus (P<0.05) were body weight (OR=1.42，P<0.05), glycated serum protein (OR=1.35, P<0.05), lactate dehydrogenase (OR=1.17, P<0.05), alkaline phosphatase (OR=0.79, P<0.05), hyperlipidemia (OR=2.30, P<0.05), stroke (OR=4.20, P<0.05), coronary heart disease (OR=64.54, P<0.05), lower extremity artery disease (OR=24.52, P<0.05), and other endocrine diseases (OR=1.65 , P<0.05). The area under ROC curve was 0.91, the slope of the calibration curve was close to 1, and the H-L fit curve χ²=3.11. The internal verification result of the constructed nomogram prediction model was P=0.93. External verification of patients in the test set showed that the area under ROC curve was 0.91, indicating good differentiation and accuracy of the model. Conclusion The prediction model established by using the risk factors screened in this study has a high accuracy and differentiation, and medical staff can take effective prevention measures according to the individual factors of patients.

ObjectiveTo investigate the distribution and trend of rehabilitation personnel of China Disabled Persons' Federation (CDPF) system and the people with disabilities (PWDs) using geographical gravity model. MethodsBased on ArcGIS and statistical data, the distribution of geographical center of gravity of the rehabilitation personnel of the CDPF system from 2011 to 2021 was analyzed. According to the economic development, the areas were divided into three regions, and the eastern region included eleven provincial units, the central region includes eight provincial units, and the western region included twelve provincial units. ResultsCompared with 2011, rehabilitation staffs per thousand PWDs increased at 107.5% in 2021, 81.1%, 114.2% and 174.1% for the eastern, central, and western regions, respectively; professional staffs increased at 190.5%, 148.8%, 284.6% and 280.6% for the eastern, central, and western regions, respectively; managerial staff increased at 80.0%, 46.8%, 554.3% and 128.1% for the eastern, central, and western regions, respectively. Compared with 2011, the geographical center of gravity of the rehabilitation personnel moved about 330.9 km in 2021, while the geographical center of gravity of the PWDs moved about 169.64 km. ConclusionThe rehabilitation personnel in the CDPF system is the most in the eastern region and least in the western region. The tracks of the geographical center of gravity of the three kind of rehabilitation personnel in the CDPF system are relatively consistent. The rehabilitation personnel in the eastern region are more concentrated than those in the western region, and the density of the PWDs is more westward than that of the rehabilitation personnel, and coordination is not a perfect match yet. It is necessary to strengthen the rehabilitation personnel allocation in the western region, to balance distribution of human resources for rehabilitation of PWDs among regions.

ObjectiveTo quantitatively analyze and evaluate the content of rehabilitation policy for people with disabilities in China. MethodsThis study focused on ten national policies of disability rehabilitation issued from 2021 to 2023. It employed text mining techniques to process policy texts and constructed a policy modeling consistency index model for disability rehabilitation policies in China. The relevant policies were evaluated and analyzed quantitatively. ResultsThe disability rehabilitation policies in China were relatively comprehensive in terms of policy transparency, operational mechanisms and policy nature. However, there was still a need for optimization in terms of policy perspectives, target groups, incentive mechanisms, and other aspects. ConclusionThe overall quality of disability rehabilitation policy texts at the national level in China is relatively good. There is a need to further enhance the predictability of policy objectives, clarify the responsibilities and division of labor among various departments, and improve policy incentive mechanisms in future policy formulation, which will further refine China's disability rehabilitation policy system and contribute to high-quality development of the disability cause.

Objective To explore the application and method of World Health Organization Rehabilitation Competency Framework (RCF) in rehabilitation human resource management, and provide theoretical and practical reference for rehabilitation human resource management.Methods Based on the International Standard Classification of Occupations issued by the International Labour Organization, the application scope of RCF was systematically analyzed. The theoretical framework of rehabilitation human resource management based on RCF was constructed in combination with competency-based human resource management framework. On this basis, taking rehabilitation nurses as an example, the corresponding management methods and paths are proposed from four aspects of human resource management, including career management, recruitment and selection, training and development, and performance appraisal and salary management.Results Based on RCF, the theoretical framework of human resource management for rehabilitation nursing positions was constructed, and the main contents and processes of human resource management based on RCF were clarified from four aspects: recruitment and selection, training and development, performance appraisal and salary management, and career management. Occupational competency of rehabilitation professionals in International Standard Classification of Occupations was analyzed by RCF.Conclusion The rehabilitation competency framework constructed by WHO can be used to supplement the responsibilities of rehabilitation-related professionals in the International Standard Classification of Occupations issued by the International Labour Organization. RCF serves as a tool for practice managers and rehabilitation professionals in identifying selection criteria, learning objectives, and professional title assessment criteria. It can also be used in recruitment and selection, training and development, performance appraisal, salary management and career management in the field of rehabilitation human resource management.

Objective To explore the theory and method of performance evaluation for rehabilitation workers based on the World Health Organization Rehabilitation Competency Framework (RCF).Methods Using the theoretical framework and methods of the RCF, we analyzed rehabilitation workers' related competencies from the five dimensions, namely practice, professionalism, learning and development, management and leadership, and research, integrating core values and beliefs, competencies and behaviors, activities and tasks, and knowledge and skills, to construct a comprehensive evaluation method and pathway for rehabilitation workers' performance.Results Based on the RCF, which confirms the job competency requirements for rehabilitation workers, a multi-dimensional, multi-level and standardized performance evaluation index framework was formed. For example, performance evaluation system of physical therapists was consisted of five primary indicators and 26 secondary indicators from the combination of RCF and job standards.Conclusion The rehabilitation worker performance evaluation based on the RCF can evaluate the performance of rehabilitation workers in a scientific, standardized and comprehensive way. It analyzes the performance of rehabilitation workers in a multi-dimensional and systematic manner with the competence of rehabilitation workers as the center, and evaluates the quality and effectiveness of the performance of rehabilitation workers at different levels of proficiency, which makes the performance evaluation of rehabilitation workers more scientific and comprehensive, and enables rehabilitation workers to understand proficiency and clarify the gap, to promote rehabilitation workers to continuously improve their own level and enhance the quality of rehabilitation services.