Thyroid-associated ophthalmopathy(TAO), the most common orbital disease in adults, is characterized by a rising incidence globally. TAO typically presents with clinical features such as proptosis, upper eyelid retraction, ocular motility dysfunction, and diplopia. Additionally, it significantly compromises the integrity of ocular surface structures, leading to symptoms including dryness, foreign body sensation, photophobia and epiphora, which severely impair patients' visual function and quality of life. Recent studies have increasingly highlighted the roles of ocular surface inflammation, immune dysregulation and ocular surface exposure in the pathogenesis of TAO-related ocular surface damage. These factors collectively contribute to pathological changes in ocular surface structures, such as the conjunctiva, cornea, lacrimal gland and meibomian glands. This review comprehensively summarizes the latest research progress on ocular surface structural damage in TAO patients, aiming to provide a theoretical foundation and novel insights for the early diagnosis, disease evaluation and individualized treatment of TAO.

Objective Explore the factors affecting rural residents'willingness to use telemedicine in China,and put forward relevant suggestions to promote the development of telemedicine in rural areas.Methods A research model was built based on Technology Acceptance Model,data were collected through using a questionnaire survey and analyze by structural equation modelling for validation.Results The awareness rate of telemedicine among rural residents was 62.0%and the usage rate was 10.0%,which was low.Perceived usefulness,perceived ease of use,social participation,social support,and facilitators positively influence rural residents'willingness to use telemedicine(P＜0.05),while perceived risk and social connection have no effect on the willingness of rural residents to use telemedicine(P＞0.05).Conclusion Promote the construction of telemedicine system infrastructure to comprehensively enhance the level of rural medical and health services;improve telemedicine laws and regulations to promote the policy guarantee of the three medical institutions;give full play to the role of social capital to improve the information literacy of rural residents in the use of telemedicine.

Under the backdrop of smart health management technology development, this article reviews research advances in smart monitoring, assessment and intervention technologies for older people with mild cognitive impairment, including the types, typical applications and results of monitoring, assessment and intervention technologies.In addition, from the perspective of community-dwelling older adults' cognitive health management, a model for innovative management of community-dwelling older adults' cognitive function taking advantage of smart health management technologies is proposed, aiming to enhance the acceptance of smart health technologies among older people with cognitive impairment and to provide policy advice on developing friendly communities for older people with cognitive impairment.

Objective To quantitatively analyze Chinese Healthy China initiative policies and provide a basis for the formulation and improvement of relevant policies.Methods The Healthy China initiative policies released at the national and provincial levels from 2016 to 2023 was selected as the research object.A PMC index model containing 9 primary variables and 42 secondary variables was constructed using text mining methods to evaluate the quality of the Healthy China initiative policies.Results Using 32 selected Healthy China initiative policies as sample policies,the average PMC index is 7.81,and the policy quality is good or above,at a moderate depression level.The PMC index average values of policy nature,policy content,and policy evaluation are relatively high in the primary variables,and the shortcomings of policy incentives and effectiveness levels are more obvious.Conclusion The overall coverage of the Healthy China initiative policies is relatively comprehensive,but there are still problems such as weak effectiveness levels,insufficient use of diverse incentives and corresponding policy tools,and uneven regional development.In the future,improvements should be made in terms of enriching effectiveness levels,balancing the use of policy tools,and strengthening inter regional exchanges and learning.

Objective To quantitatively analyze Chinese Healthy China initiative policies and provide a basis for the formulation and improvement of relevant policies.Methods The Healthy China initiative policies released at the national and provincial levels from 2016 to 2023 was selected as the research object.A PMC index model containing 9 primary variables and 42 secondary variables was constructed using text mining methods to evaluate the quality of the Healthy China initiative policies.Results Using 32 selected Healthy China initiative policies as sample policies,the average PMC index is 7.81,and the policy quality is good or above,at a moderate depression level.The PMC index average values of policy nature,policy content,and policy evaluation are relatively high in the primary variables,and the shortcomings of policy incentives and effectiveness levels are more obvious.Conclusion The overall coverage of the Healthy China initiative policies is relatively comprehensive,but there are still problems such as weak effectiveness levels,insufficient use of diverse incentives and corresponding policy tools,and uneven regional development.In the future,improvements should be made in terms of enriching effectiveness levels,balancing the use of policy tools,and strengthening inter regional exchanges and learning.

Objective To quantitatively analyze Chinese Healthy China initiative policies and provide a basis for the formulation and improvement of relevant policies.Methods The Healthy China initiative policies released at the national and provincial levels from 2016 to 2023 was selected as the research object.A PMC index model containing 9 primary variables and 42 secondary variables was constructed using text mining methods to evaluate the quality of the Healthy China initiative policies.Results Using 32 selected Healthy China initiative policies as sample policies,the average PMC index is 7.81,and the policy quality is good or above,at a moderate depression level.The PMC index average values of policy nature,policy content,and policy evaluation are relatively high in the primary variables,and the shortcomings of policy incentives and effectiveness levels are more obvious.Conclusion The overall coverage of the Healthy China initiative policies is relatively comprehensive,but there are still problems such as weak effectiveness levels,insufficient use of diverse incentives and corresponding policy tools,and uneven regional development.In the future,improvements should be made in terms of enriching effectiveness levels,balancing the use of policy tools,and strengthening inter regional exchanges and learning.

Objective To quantitatively analyze Chinese Healthy China initiative policies and provide a basis for the formulation and improvement of relevant policies.Methods The Healthy China initiative policies released at the national and provincial levels from 2016 to 2023 was selected as the research object.A PMC index model containing 9 primary variables and 42 secondary variables was constructed using text mining methods to evaluate the quality of the Healthy China initiative policies.Results Using 32 selected Healthy China initiative policies as sample policies,the average PMC index is 7.81,and the policy quality is good or above,at a moderate depression level.The PMC index average values of policy nature,policy content,and policy evaluation are relatively high in the primary variables,and the shortcomings of policy incentives and effectiveness levels are more obvious.Conclusion The overall coverage of the Healthy China initiative policies is relatively comprehensive,but there are still problems such as weak effectiveness levels,insufficient use of diverse incentives and corresponding policy tools,and uneven regional development.In the future,improvements should be made in terms of enriching effectiveness levels,balancing the use of policy tools,and strengthening inter regional exchanges and learning.

Objective To quantitatively analyze Chinese Healthy China initiative policies and provide a basis for the formulation and improvement of relevant policies.Methods The Healthy China initiative policies released at the national and provincial levels from 2016 to 2023 was selected as the research object.A PMC index model containing 9 primary variables and 42 secondary variables was constructed using text mining methods to evaluate the quality of the Healthy China initiative policies.Results Using 32 selected Healthy China initiative policies as sample policies,the average PMC index is 7.81,and the policy quality is good or above,at a moderate depression level.The PMC index average values of policy nature,policy content,and policy evaluation are relatively high in the primary variables,and the shortcomings of policy incentives and effectiveness levels are more obvious.Conclusion The overall coverage of the Healthy China initiative policies is relatively comprehensive,but there are still problems such as weak effectiveness levels,insufficient use of diverse incentives and corresponding policy tools,and uneven regional development.In the future,improvements should be made in terms of enriching effectiveness levels,balancing the use of policy tools,and strengthening inter regional exchanges and learning.

Objective To quantitatively analyze Chinese Healthy China initiative policies and provide a basis for the formulation and improvement of relevant policies.Methods The Healthy China initiative policies released at the national and provincial levels from 2016 to 2023 was selected as the research object.A PMC index model containing 9 primary variables and 42 secondary variables was constructed using text mining methods to evaluate the quality of the Healthy China initiative policies.Results Using 32 selected Healthy China initiative policies as sample policies,the average PMC index is 7.81,and the policy quality is good or above,at a moderate depression level.The PMC index average values of policy nature,policy content,and policy evaluation are relatively high in the primary variables,and the shortcomings of policy incentives and effectiveness levels are more obvious.Conclusion The overall coverage of the Healthy China initiative policies is relatively comprehensive,but there are still problems such as weak effectiveness levels,insufficient use of diverse incentives and corresponding policy tools,and uneven regional development.In the future,improvements should be made in terms of enriching effectiveness levels,balancing the use of policy tools,and strengthening inter regional exchanges and learning.

Objective To quantitatively analyze Chinese Healthy China initiative policies and provide a basis for the formulation and improvement of relevant policies.Methods The Healthy China initiative policies released at the national and provincial levels from 2016 to 2023 was selected as the research object.A PMC index model containing 9 primary variables and 42 secondary variables was constructed using text mining methods to evaluate the quality of the Healthy China initiative policies.Results Using 32 selected Healthy China initiative policies as sample policies,the average PMC index is 7.81,and the policy quality is good or above,at a moderate depression level.The PMC index average values of policy nature,policy content,and policy evaluation are relatively high in the primary variables,and the shortcomings of policy incentives and effectiveness levels are more obvious.Conclusion The overall coverage of the Healthy China initiative policies is relatively comprehensive,but there are still problems such as weak effectiveness levels,insufficient use of diverse incentives and corresponding policy tools,and uneven regional development.In the future,improvements should be made in terms of enriching effectiveness levels,balancing the use of policy tools,and strengthening inter regional exchanges and learning.