The Chinese Guideline for the Rehabilitation Treatment of Knee Osteoarthritis (2023 Edition) were jointly developed by the Chinese Society of Physical Medicine and Rehabilitation and West China Hospital of Sichuan University, aiming to standardize the rehabilitation treatment of knee osteoarthritis (KOA). This article focuses on the 11 core clinical issues of KOA rehabilitation assessment and treatment in the above guidelines, with a focus on introducing rehabilitation strategies such as KOA rehabilitation assessment and treatment, and proposes multiple corresponding recommendations. While interpreting the guidelines, it provides reference and inspiration for professionals engaged in KOA diagnosis, treatment, and rehabilitation management in China to optimize the standardization and scientificity of KOA rehabilitation treatment and improve patients’ rehabilitation prognosis.
ObjectiveTo identify primary osteoporosis patients’ function and environment status based on International Classification of Functioning, Disability and Health (ICF) and provide evidence to clinical treatment, rehabilitation therapy and rehabilitation nursing.MethodsA questionnaire survey was conducted among osteoporosis patients hospitalized in the Center of rehabilitation Medicine of West China Hospital of SiChuan University, from May 2017 to December 2019. The research design was based on a cross-sectional survey. ICF was applied to simplify the core classification set, and a convenient sampling method was adopted.ResultsA total of 240 patients were investigated. All of the patients’ function showed limitation but different level. Meanwhile, including Walking (D450), Sensation of pain(B280), Structure of trunk (S760), Lifting and carrying objects (D430), Mobility of joint function (B710), the proportion of injuries were more than 90%, most of which the limitation level were light and moderate injuries indicating 5%-49% injuries; more than 50% pointed the three parts of environment factors were facilitative factors including Products or substances for personal consumption (E110), Health professionals (E355), Health services, systems and policies (E580), of which the proportion of Health services, systems and policies (E580) were highest.ConclusionOsteoporosis has a significant effect on patients’ function, we should develop clinical treatment, rehabilitation therapy, rehabilitation nursing based on the current evaluation of function.
Objective To explore the training framework for medical-engineering interdisciplinary postgraduate students during their early education phase from the perspective of “digital and intelligent rehabilitation”, investigate pedagogical reforms centered on the corresponding curriculum, evaluate the students’ digital health awareness, perception of professional relevance, and attitudes toward future industry trends, and provide empirical evidence for optimizing early-stage training systems. Methods A total of 111 postgraduate students enrolled in the course Medical Technology Integration and Innovation: Intelligent Medicine and Rehabilitation during the 2022-2024 autumn semesters were included as study subjects. Pre- and post-course questionnaires assessed digital health cognition, professional demands, technological relevance, and future-oriented attitudes. Statistical analysis was conducted using SPSS 20.0 software. Results The 111 students included 19 from the 2022 academic year, 39 from the 2023 academic year, and 53 from the 2024 academic year. In each academic year, the student population consisted predominantly of females (>70%) and first-year learners (>90%). Prior to the course, most students were unfamiliar with digital health; only 6, 11, and 24 students from the 2022, 2023, and 2024 academic years, respectively, reported having some knowledge of digital health, though most were merely aware of or had only heard of the concept. From the 2022 to 2024 academic years, the proportions of students who reported having a general understanding of the definition of digital health were 83.3% (5/6), 54.5% (6/11), and 41.7% (10/24), respectively. Over 85% of students in each academic year believed that their profession “needs” digital health technologies across four dimensions: patient-facing services, healthcare provider services, management systems, and data services. Technologies such as artificial intelligence (2022 academic year: 100.0%; 2023 academic year: 90.9%; 2024 academic year: 98.0%), cloud computing and big data (2022 academic year: 100.0%; 2023 academic year: 93.9%; 2024 academic year: 100.0%), and sensors and wearable devices (2022 academic year: 87.5%; 2023 academic year: 87.9%; 2024 academic year: 96.1%) were considered highly relevant to their profession. The proportion of students holding a “very open” attitude increased significantly after the course (2022 academic year: from 47.4% to 58.8%; 2023 academic year: from 33.3% to 40.0%; 2024 academic year: from 45.3% to 70.0%). Conclusions The “Digital and Intelligent Rehabilitation” course may expand students’ professional knowledge breadth and depth during early training, strengthen their comprehension of medical-engineering integration, and foster positive industry engagement attitudes. These findings provide actionable insights and empirical validation for developing systematic, differentiated early-phase training frameworks for medical-engineering interdisciplinary education.