Background The Inner Mongolia Autonomous Region is a vast area with a wide array of ecological environments, resulting in considerable regional variations in air pollution characteristics. Current research is limited by a scarcity of systematic, region-wide studies and risk assessments. Objective To assess the health risks associated with inhalation exposure to nine heavy metal and metalloid elements in atmospheric fine particulate matter (PM_2.5) for the population of the Inner Mongolia Autonomous Region. Methods From the 10th to the 16th of each month throughout 2023, atmospheric PM_2.5 samples were collected at designated monitoring sites in 12 leagues (cities) across the Inner Mongolia Autonomous Region to analyze the characteristics and trends in concentration. The health risk assessment model developed by the United States Environmental Protection Agency was employed to evaluate both the non-carcinogenic and carcinogenic risks associated with the heavy metal elements beryllium (Be), cadmium (Cd), chromium (Cr), hydrargyrum (Hg), plumbum (Pb), manganese (Mn), and nickel (Ni) and the metalloid elements stibium (Sb) and arsenic (As). Results In 2023, a total of 1206 valid PM_2.5 samples were analyzed from the Inner Mongolia Autonomous Region. The annual average PM_2.5 concentrations in Inner Mongolia, as well as in the cities of Ordos, Wuhai, and the Alxa League, all exceeded the national limit of 35 μg·m⁻³. The PM_2.5 concentrations across the leagues (cities) exhibited a clear seasonal variation, peaking in winter, followed by spring, and reaching a minimum in summer and autumn. The median PM_2.5 concentration in Ordos throughout the year was higher than that in the other leagues (cities) of the region. Concerning health risks, the non-carcinogenic risks associated with the 9 elements detected in each league (city) were all below 1, indicating acceptable levels. However, the non-carcinogenic risk values for Mn, Cr, and As were relatively high; specifically, Ordos City displayed the highest non-carcinogenic risk values for Mn (7.74×10⁻¹) and Cr (2.97×10⁻²), while Chifeng City recorded the highest value for As (2.34×10⁻³). The carcinogenic risk values for As, Cd, Cr, and Ni fell within the range of 1×10⁻⁹ to 1×10⁻⁵, representing an acceptable level. The health risks varied with age, and the elderly residents faced the highest non-carcinogenic and carcinogenic health risks. Conclusion While the carcinogenic and non-carcinogenic risks from heavy metals and metalloids within atmospheric PM_2.5 in the Inner Mongolia Autonomous Region are generally within acceptable limits, the potential risks that Mn, As, and Cr pose to the health of elderly people warrants particular attention, and Ordos and Chifeng cities exhibit notably higher health risks among other areas. It is recommended that regular, long-term monitoring be conducted, taking into account the specific conditions at monitoring sites across each league (city), and that targeted air quality management strategies be implemented to protect public health.

Objective It aims to construct a quality evaluation index system for cancer multidisciplinary diagnosis and treatment(MDT)model in China from a full process perspective,providing guidance for practical application and model optimization.Methods Based on the number of MDT publications and practical situations,20 provincial-level hospitals nationwide were selected as typical cases.Rooted theory was used to extract evaluation indicators from the original text of the cases through three-level coding.A cancer MDT quality evaluation index system was constructed under the Input-Process-Output framework.Results Through three-level coding,27 initial categories,8 subcategories,and 3 main categories were sorted out,and a cancer MDT quality evaluation index system was constructed with input,process,and output as the primary evaluation indicators,and top-level design,management system,object resources,meeting preparation,meeting progress,plan implementation,patient outcomes,and hospital outcomes as the secondary evaluation indicators.Conclusion The quality evaluation index system of cancer MDT mode based on the perspective of the entire process can effectively guide practical optimization,but there is still a need for the improvement of supporting policies and information systems to assist in quality evaluation.

Objective It aims to construct a quality evaluation index system for cancer multidisciplinary diagnosis and treatment(MDT)model in China from a full process perspective,providing guidance for practical application and model optimization.Methods Based on the number of MDT publications and practical situations,20 provincial-level hospitals nationwide were selected as typical cases.Rooted theory was used to extract evaluation indicators from the original text of the cases through three-level coding.A cancer MDT quality evaluation index system was constructed under the Input-Process-Output framework.Results Through three-level coding,27 initial categories,8 subcategories,and 3 main categories were sorted out,and a cancer MDT quality evaluation index system was constructed with input,process,and output as the primary evaluation indicators,and top-level design,management system,object resources,meeting preparation,meeting progress,plan implementation,patient outcomes,and hospital outcomes as the secondary evaluation indicators.Conclusion The quality evaluation index system of cancer MDT mode based on the perspective of the entire process can effectively guide practical optimization,but there is still a need for the improvement of supporting policies and information systems to assist in quality evaluation.

Personalized medicine emphasizes individualized and dynamic treatment decisions. There is an urgent need for a new efficacy evaluation system that can adapt to this approach. By reviewing past clinical research practices， this article pointed out the innovative needs of traditional Chinese medicine （TCM） efficacy evaluation from the perspective of personalized medicine in terms of ethical review， trial design， data management， and statistical analysis. Focusing on these needs， the article has proposed a strategic framework using syndrome differentiation and treatment in TCM as an example. The framework includes a method based on subgroup dynamic-static parallel group design and analysis， a safeguard mechanism of continuous review， dynamic informed consent， and multicenter ethical review， a technological support platform for personalized clinical efficacy evaluation and evidence support， and a statistical strategy integrating Bayesian and traditional analysis methods， aiming to promote the development of personalized TCM diagnosis and treatment.

Objective It aims to construct a quality evaluation index system for cancer multidisciplinary diagnosis and treatment(MDT)model in China from a full process perspective,providing guidance for practical application and model optimization.Methods Based on the number of MDT publications and practical situations,20 provincial-level hospitals nationwide were selected as typical cases.Rooted theory was used to extract evaluation indicators from the original text of the cases through three-level coding.A cancer MDT quality evaluation index system was constructed under the Input-Process-Output framework.Results Through three-level coding,27 initial categories,8 subcategories,and 3 main categories were sorted out,and a cancer MDT quality evaluation index system was constructed with input,process,and output as the primary evaluation indicators,and top-level design,management system,object resources,meeting preparation,meeting progress,plan implementation,patient outcomes,and hospital outcomes as the secondary evaluation indicators.Conclusion The quality evaluation index system of cancer MDT mode based on the perspective of the entire process can effectively guide practical optimization,but there is still a need for the improvement of supporting policies and information systems to assist in quality evaluation.

Objective It aims to construct a quality evaluation index system for cancer multidisciplinary diagnosis and treatment(MDT)model in China from a full process perspective,providing guidance for practical application and model optimization.Methods Based on the number of MDT publications and practical situations,20 provincial-level hospitals nationwide were selected as typical cases.Rooted theory was used to extract evaluation indicators from the original text of the cases through three-level coding.A cancer MDT quality evaluation index system was constructed under the Input-Process-Output framework.Results Through three-level coding,27 initial categories,8 subcategories,and 3 main categories were sorted out,and a cancer MDT quality evaluation index system was constructed with input,process,and output as the primary evaluation indicators,and top-level design,management system,object resources,meeting preparation,meeting progress,plan implementation,patient outcomes,and hospital outcomes as the secondary evaluation indicators.Conclusion The quality evaluation index system of cancer MDT mode based on the perspective of the entire process can effectively guide practical optimization,but there is still a need for the improvement of supporting policies and information systems to assist in quality evaluation.

Objective It aims to construct a quality evaluation index system for cancer multidisciplinary diagnosis and treatment(MDT)model in China from a full process perspective,providing guidance for practical application and model optimization.Methods Based on the number of MDT publications and practical situations,20 provincial-level hospitals nationwide were selected as typical cases.Rooted theory was used to extract evaluation indicators from the original text of the cases through three-level coding.A cancer MDT quality evaluation index system was constructed under the Input-Process-Output framework.Results Through three-level coding,27 initial categories,8 subcategories,and 3 main categories were sorted out,and a cancer MDT quality evaluation index system was constructed with input,process,and output as the primary evaluation indicators,and top-level design,management system,object resources,meeting preparation,meeting progress,plan implementation,patient outcomes,and hospital outcomes as the secondary evaluation indicators.Conclusion The quality evaluation index system of cancer MDT mode based on the perspective of the entire process can effectively guide practical optimization,but there is still a need for the improvement of supporting policies and information systems to assist in quality evaluation.

Objective It aims to construct a quality evaluation index system for cancer multidisciplinary diagnosis and treatment(MDT)model in China from a full process perspective,providing guidance for practical application and model optimization.Methods Based on the number of MDT publications and practical situations,20 provincial-level hospitals nationwide were selected as typical cases.Rooted theory was used to extract evaluation indicators from the original text of the cases through three-level coding.A cancer MDT quality evaluation index system was constructed under the Input-Process-Output framework.Results Through three-level coding,27 initial categories,8 subcategories,and 3 main categories were sorted out,and a cancer MDT quality evaluation index system was constructed with input,process,and output as the primary evaluation indicators,and top-level design,management system,object resources,meeting preparation,meeting progress,plan implementation,patient outcomes,and hospital outcomes as the secondary evaluation indicators.Conclusion The quality evaluation index system of cancer MDT mode based on the perspective of the entire process can effectively guide practical optimization,but there is still a need for the improvement of supporting policies and information systems to assist in quality evaluation.

Objective It aims to construct a quality evaluation index system for cancer multidisciplinary diagnosis and treatment(MDT)model in China from a full process perspective,providing guidance for practical application and model optimization.Methods Based on the number of MDT publications and practical situations,20 provincial-level hospitals nationwide were selected as typical cases.Rooted theory was used to extract evaluation indicators from the original text of the cases through three-level coding.A cancer MDT quality evaluation index system was constructed under the Input-Process-Output framework.Results Through three-level coding,27 initial categories,8 subcategories,and 3 main categories were sorted out,and a cancer MDT quality evaluation index system was constructed with input,process,and output as the primary evaluation indicators,and top-level design,management system,object resources,meeting preparation,meeting progress,plan implementation,patient outcomes,and hospital outcomes as the secondary evaluation indicators.Conclusion The quality evaluation index system of cancer MDT mode based on the perspective of the entire process can effectively guide practical optimization,but there is still a need for the improvement of supporting policies and information systems to assist in quality evaluation.

Objective To explore the effect of a mobile health intervention model based on self-determination theory on subthreshold depression in breast cancer patients.Methods By convenience sampling method,74 patients with breast cancer subthreshold depression who received chemotherapy in the breast department of a tertiary hospital in Guangxi from July 2021 to August 2022 were selected as the research subjects.According to the order of admission time,the patients admitted from February 2022 to August 2022 were taken as an experimental group,and the patients admitted from July 2021 to January 2022 were taken as a control group,with 37 cases in each group.On the basis of routine nursing,the experimental group implemented a mobile health intervention model based on self-determination theory.The control group received routine nursing,with every 21 days for 1 cycle and a total of 4 cycles of intervention.Before and after the intervention,the Centre for Epidemiological Studies Depression Scale(CES-D),Hamilton Rating Scale for Depression(HAMD-17),Basic Psychological Needs Satisfaction Scale(BPNS)and Functional Assessment of Cancer Therapy-Breast(FACT-B)were used to evaluate the intervention effect.Results 34 patients in the experimental group and 36 patients in the control group completed the study.After intervention,the CES-D score and HAMD-17 score of the 2 groups were lower than those before intervention(P＜0.05);the CES-D score and HAMD-17 score of the experimental group were lower than those of the control group,and the difference was statistically significant(t=7.748,P＜0.001;t=8.150,P＜0.001).The BPNS scores of the 2 groups were higher than those before the intervention,and the BPNS score of the experimental group was significantly higher than that of the control group(t=-6.534,P＜0.001).The scores of FACT-B in the 2 groups were higher than those before the intervention,and the scores of FACT-B in the experimental group were significantly higher than those in the control group(t=-4.579,P＜0.001).Conclusion The mobile health intervention model based on self-determination theory can improve the subthreshold depression,self-determination and quality of life of breast cancer patients.