Abstract The global prevalence of non-suicidal self-harm (NSSI) among adolescents is becoming increasingly severe. Traditional mental health services are struggling to meet the growing social demand due to limited resource allocation and service accessibility. The rapid development of artificial intelligence (AI) technology provides a new technological path. The article systematically reviews the research progress of AI technology in adolescent NSSI, demonstrating key technologies such as machine learning, natural language processing, and deep learning in predicting NSSI risk prediction, emotion recognition and online intervention for adolescents. However, challenges remain, including algorithm bias, data privacy protection, model interpretability and ethical decision making. Future research should focus on multi disciplinary collaborative cooperation based on artificial intelligence to build a safe, effective and sustainable digital psychological intervention system, so as to provide innovative strategies and technical support for the early warning and intervention of NSSI behavior in adolescents.

ObjectiveTo explore the coercive experience of involuntarily hospitalized adolescents with mental disorders during the admission process and hospitalization， providing references for formulating targeted nursing interventions. MethodsSemi-structured interviews were conducted with 15 involuntarily hospitalized adolescents with mental disorders selected from October to December 2023， and the themes were summarized and extracted by content analysis. ResultsA total of 3 themes and 10 sub-themes were extracted， which were used to elaborate the essential contents， causes， and improvement methods of coercive experience. These encompassed the multi-dimensional content of coercive experience （complex emotional experience， different physical sensations， and contradictory cognitive evaluation）， the multi-faceted causes of coercive experience （insufficient personal preparation， inadequate parental communication， and strict medical management system）， as well as the phased improvement of coercive experience （adequate communication before hospitalization， patient notification before coercive intervention， respecting for demands during coercive intervention， and comforting explanation after coercive intervention）. ConclusionThe essential content of the coercive experience of involuntarily hospitalized adolescents with mental disorders is complex and has various causes， which require cooperation from multiple parties to improve. Therefore， parents should respect the expression of their children’s self-will， and medical staff should respect patients’ autonomy， establishing a protection-constrained doctor-patient relationship model and collaborating to reduce the use of coercive interventions， to improve the overall medical satisfaction of adolescents with mental disorders.

Objective:To investigate the application effect of web-based problem-based learning (WPBL) versus traditional teaching in the teaching of geriatric medicine courses.Methods:PubMed, Embase, the Cochrane Library, Web of Science, CNKI, CBMdisc, and Wanfang Data were searched for clinical studies on the application of WPBL in the teaching of geriatric medicine courses in China and globally published up to October 1, 2023. After literature screening, data extraction, and quality assessment, RevMan5.4.1 was used to perform a systematic review.Results:A total of 14 eligible articles were included in this study, with 1 436 medical students as the subjects and geriatric medicine as the content of teaching. The Meta-analysis showed that WPBL teaching had a better effect than traditional problem-based learning or lecture-based learning in the teaching of geriatric medicine courses and could improve the theoretical examination score [mean difference (MD)=3.53, 95% confidence interval (CI)=1.77-5.29, P<0.001], operational skills (MD=5.92, 95%CI=2.67-9.18, P<0.001), critical thinking ability (MD=9.30, 95%CI=5.43-13.18, P<0.001), and teaching satisfaction (MD=1.75, 95%CI=1.49-2.01, P<0.001) among medical students. Conclusions:WPBL in the teaching of geriatric medicine courses can improve the theoretical examination score, operational skills, critical thinking skills, and teaching satisfaction among medical students.

Objective:To investigate the application effect of web-based problem-based learning (WPBL) versus traditional teaching in the teaching of geriatric medicine courses.Methods:PubMed, Embase, the Cochrane Library, Web of Science, CNKI, CBMdisc, and Wanfang Data were searched for clinical studies on the application of WPBL in the teaching of geriatric medicine courses in China and globally published up to October 1, 2023. After literature screening, data extraction, and quality assessment, RevMan5.4.1 was used to perform a systematic review.Results:A total of 14 eligible articles were included in this study, with 1 436 medical students as the subjects and geriatric medicine as the content of teaching. The Meta-analysis showed that WPBL teaching had a better effect than traditional problem-based learning or lecture-based learning in the teaching of geriatric medicine courses and could improve the theoretical examination score [mean difference (MD)=3.53, 95% confidence interval (CI)=1.77-5.29, P<0.001], operational skills (MD=5.92, 95%CI=2.67-9.18, P<0.001), critical thinking ability (MD=9.30, 95%CI=5.43-13.18, P<0.001), and teaching satisfaction (MD=1.75, 95%CI=1.49-2.01, P<0.001) among medical students. Conclusions:WPBL in the teaching of geriatric medicine courses can improve the theoretical examination score, operational skills, critical thinking skills, and teaching satisfaction among medical students.

Purpose/Significance The scoping review summarizes the application of large language models in clinical practice,and provides references for their promotion.Method/Process PubMed,Embase,Wanfang and CNKI databases are searched to screen the lit-erature related to the application of large language models in clinical practice,and the content of the included literature is extracted,sum-marized and analyzed.Result/Conclusion Large language models have application value in providing treatment suggestions,assisting disease diagnosis,health education,analyzing text image data,etc.However,their performance in answer accuracy and individualization is not satisfactory.In general,large language models show significant potential in clinical practice,but necessary measures must be taken to control the application risks and confirm the scope of application.

The Peking Union Medical College School of Nursing has been dedicated to exploring the education of undergraduate students specializing in geriatric nursing since 2016. Through seven years of exploration and practice, aiming at the pain points and difficulties in the process of cultivating geriatric nursing students, the teaching team has developed a progressive and modular curriculum system, with the goal of training geriatric nursing professionals with specialized knowledge and practical innovation abilities, on the platform of a seamless teaching practice base connecting settings from laboratory to community/elderly care institutions/hospital to society, with an emphasis on the integration of ideological and political education with geriatric nursing education. Moreover, a specialized faculty team has been established. This course serves as a model for nurturing excellent nursing professionals possessing the right values and outlook on life as well as ability to cope with the national challenges posed by aging populations.

Objective:To search and summarize the literature in the field of joint replacement tele-rehabilitation at home and abroad and carry out visual analysis to discuss the development status, research hotspots and development trends in this field.Methods:Based on the Web of Science index database, literature related to application of tele-rehabilitation in joint replacement was searched from the establishment of the database to December 31, 2022. The literature metrology and knowledge visualization analysis of tele-rehabilitation after joint replacement were carried out by using the cooperative network and co-occurrence network analysis function of CiteSpace visual analysis tool and the result analysis report of Web of Science database.Results:As of December 2022, a total of 1 042 articles were published on research related to remote rehabilitation after joint replacement surgery, with an increasing number of articles published year by year. From 2020 to 2022, the annual number of articles published exceeded 100. The United States ranked first in both the number of articles published (404) and the H-index (44). The journal with the highest publication volume was Journal of Arthroplasty (106 articles), and the author with the highest publication volume was Mont (22 articles). Research hotspots focused on rehabilitation content, outcome evaluation and intervention implementation forms. Conclusions:The application of tele-rehabilitation in the field of joint replacement is becoming increasingly widespread. Foreign countries have started this research field early, while China is still in its infancy, and it is urgent to enrich the implementation of intervention forms, feasibility and effectiveness evaluation. The content optimization of tele-rehabilitation program, the accurate evaluation of curative effect and the optimization of implementation approach are the future research hotspots, and the study of cost effectiveness of tele-rehabilitation is the future research direction.

End-stage renal disease is the final stage of chronic kidney disease, and research on palliative care for end-stage renal disease patients in China is still in its infancy. The research content of palliative care for end-stage renal disease at home and abroad mainly includes identification and management of symptoms, advance care planning, psychosocial and spiritual support, and ethical issues in dialysis decision-making. However, practical experience is still insufficient. By focusing on the overview, development status, patient needs, as well as implementation forms and models of palliative care for endstage renal disease patients, this paper summarized the research progress and application status of related research, with a view to providing references for future domestic research and clinical practice in this field.

The cultivation of mental health nurses in the United States is unique. This article summarizes the educational requirements, training objectives, curriculum settings, teaching forms, and clinical practice of the mental health nursing talents at all levels in America, including undergraduates, masters, doctors of nursing practice, and doctors of nursing philosophy, aiming to provide references for the cultivation of mental health nursing talents in our country.

ObjectiveTo conduct a systematic review of systematic reviews of the effect of preoperative prerehabilitation training on postoperative function of patients after total knee arthroplasty. MethodsThe systematic reviews and meta-analysis about the application of preoperative prerehabilitation training after total knee arthroplasty were retrieved from Cochrane Library, Embase, PubMed, Web of Science, Wanfang Data, CNKI and VIP database, from establishment to March 10th, 2023. The methodological quality was evaluated using AMSTAR. The meta-analysis of the reseaches without repetitive content was performed using RevMan 5.3. ResultsA total of ten systematic reviews/meta analyses were included. Compared with the routine rehabilitation, preoperative prerehabilitation training might decrease the scores of Western Ontario and McMaster Universities Osteoarthritis Index (MD = -1.34, 95%CI -1.94 to -0.74, P < 0.001), and Hospital for Special Surgery Knee Score (MD = -1.04, 95%CI -1.69 to -0.40, P = 0.001), shorten the length of hospital stay (MD = -1.01, 95%CI -1.66 to -0.36, P = 0.002), and enhance muscle strength three months after operation (SMD = 0.63, 95%CI 0.30 to 0.97, P < 0.001). ConclusionPreoperative prerehabilitation training can improve postoperative knee function, enhance muscle strength three months after operation, and shorten length of hospital stay for the patients after total knee arthroplasty.