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Background Hypertension and diabetes are two major chronic diseases affecting population health, and need to be controlled through chronic diseases follow-up. However, there is currently insufficient understanding of the impact of different chronic diseases follow-up forms and contents on disease control and healthy behaviors of patients. Objective To explore the impact of the chronic diseases follow-up on health behaviors and blood pressure/glucose control of patients with hypertension and diabetes in the context of treatment-prevention integration. Methods Yiyang County in Henan Province, Xianfeng County in Hubei Province and Yangqu County in Shanxi Province were selected as study sites to collect data from the basic public health information system from 2017-01-01 to 2022-06-30. Patient survey was conducted in July 2022 to collect information on basic public health follow-up receiving, health behaviors and disease control of patients. Finally, 102 769 patients with hypertension and 26 586 patients with diabetes were obtained from the basic public health information system, the data of 1 172 patients with hypertension and 456 patients with diabetes were obtained through patient surveys. Multivariate Logistic regression was used to analyze the effects of the standard-reaching frequency of follow-up, follow-up forms and contents on health behaviors and disease control of patients. Results In 2021, the standard-reaching rates of follow-up frequency of patients with hypertension and diabetes were 90.83% (67 709/74 545) and 83.35% (13 390/16 065) , with frequency≥4 times/year as the standard. The follow-up forms included household follow-up〔25.74% (408/1 585) 〕, follow-up at institutional visits〔58.80% (932/1 585) 〕, telephone or network follow-up〔15.46% (245/1 585) 〕. The follow-up contents included blood pressure and blood glucose measurements〔91.15% (1 484/1 628) 〕, lifestyle guidance〔74.14% (1 207/1 628) 〕, disease inquiry〔70.02% (1 140/1 628) 〕, and drug use understanding〔69.29% (1 128/1 628) 〕. Multivariate Logistic regression analysis showed that patients with higher standard-reaching rates of follow-up frequency had higher rates of blood pressure control (OR=1.09, P

Background The free training for rural order-oriented medical students has trained a large number of primary health personnel for the central and western regions of China. By the summer of 2021, the first order-oriented medical graduates had completed their compulsory service and face the choice of staying or leaving. The income is an important influencing factor of their choices, however, there are still few studies on the income of order-oriented medical graduates. Objective The panel data of order-oriented medical graduate cohort study was used to compare and analyze the change trend of the income of order-oriented medical graduates and general clinical graduates in the early career, and to explore the influencing factors of the change of income. Methods Qinghai University, Guangxi Medical University, Jiujiang Medical University and Gannan Medical University were selected to establish the order-oriented medical graduate cohort every year from 2015 to 2019, matching the general clinical graduates of the same grade as controls. The baseline survey was conducted, including basic information and family information. A total of four follow-up surveys were conducted in 2016, 2017, 2018 and 2020, including the status of standardized resident training (hereinafter referred to as "standardized training") , passing of medical licensing examination, working conditions and other information. Fixed effects model was used to explore the factors influencing the income of order-oriented medical graduates and general clinical graduates, and propensity score matching (PSM) was used to test the stability of the results. Results In the first two years after graduation, the income of order-oriented medical graduates was higher than general clinical graduates, and the difference was statistically significant (P

Objectives: The aim of this study was to assess the quality of tuberculosis (TB) care for the whole course and assess factors that affect completing treatment., Design: This is an observational retrospective study using chart abstraction for the whole course of TB care conducted at two underserved provinces in China., Setting: The study was conducted from June 2021 to July 2021. All medical records (outpatient and inpatient) for the whole course (6-8 months) of patients with TB newly registered from July 2020 to December 2020 were reviewed and abstracted using predetermined checklists., Participants: A total of 268 outpatient medical records and 126 inpatient records were included., Primary and Secondary Outcome Measures: The primary outcome included diagnostic quality, treatment quality and management quality. The secondary outcome was completing treatment., Results: For diagnostic quality, 94.2% of the diagnosis were based on adequate evidence. For treatment quality, 240 (91.6%) outpatients and 100 (85.5%) inpatients took the standard chemotherapy regimens. 234 (87.3%) patients completed treatment. 85.1% of the inpatients prescribed with second-line drugs were inappropriate. For management quality, 128 (47.9%) patients received midterm assessments, but only 47 (19.7%) received sufficient services for the whole course. Patients with TB symptoms were 1.8 times more likely to complete treatment (p=0.011)., Conclusion: Patients with TB received high-quality diagnosis and treatment services, but low-quality whole-course management. Integration of medical and public health services should be strengthened to improve whole-course quality., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Purpose: To evaluate the value of preoperative ultrasound (US) radiomics nomogram of primary papillary thyroid carcinoma (PTC) for predicting large-number cervical lymph node metastasis (CLNM)., Materials and Methods: A retrospective study was conducted to collect the clinical and ultrasonic data of primary PTC. 645 patients were randomly divided into training and testing datasets according to the proportion of 7:3. Minimum redundancy-maximum relevance (mRMR) and least absolution shrinkage and selection operator (LASSO) were used to select features and establish radiomics signature. Multivariate logistic regression was used to establish a US radiomics nomogram containing radiomics signature and selected clinical characteristics. The efficiency of the nomogram was evaluated by the receiver operating characteristic (ROC) curve and calibration curve, and the clinical application value was assessed by decision curve analysis (DCA). Testing dataset was used to validate the model., Results: TG level, tumor size, aspect ratio, and radiomics signature were significantly correlated with large-number CLNM (all P< 0.05). The ROC curve and calibration curve of the US radiomics nomogram showed good predictive efficiency. In the training dataset, the AUC, accuracy, sensitivity, and specificity were 0.935, 0.897, 0.956, and 0.837, respectively, and in the testing dataset, the AUC, accuracy, sensitivity, and specificity were 0.782, 0.910, 0.533 and 0.943 respectively. DCA showed that the nomogram had some clinical benefits in predicting large-number CLNM., Conclusion: We have developed an easy-to-use and non-invasive US radiomics nomogram for predicting large-number CLNM with PTC, which combines radiomics signature and clinical risk factors. The nomogram has good predictive efficiency and potential clinical application value., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Zhang, Zhang, Wei, Yang, Liu, Zhang and Lyu.)