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    05 July 2025, Volume 28 Issue 19
    Cutting-edge Hotspots Study
    Analysis of the Evolution Path and Development Trend of Research Hotspots in Chronic Disease Management in China
    LI Liqing, YANG Sule, ZENG Chuanmei
    2025, 28(19):  2321-2329.  DOI: 10.12114/j.issn.1007-9572.2023.0865
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    Background

    The disease spectrum of Chinese residents is undergoing fundamental changes. Chronic diseases have become the most important public health problem.

    Objective

    To reveal the evolution logic of hot topics in the field of chronic disease management, the research hotspots and evolution paths of chronic disease management were visually analyzed. A prediction model based on trend degree is generated to reveal the future development direction of hot topics in the field of chronic disease management.

    Methods

    The literature search time was as of April 30, 2023. The type was limited to academic journals, and non-research literatures such as academic papers, meeting minutes, news reports, and expert consensus were excluded. Relevant literatures are retrieved in China National Knowledge Infrastructure (CNKI), VIP Chinese Science and Technology Journal Full-text Database, and Wanfang Data Knowledge Service Platform. In order to ensure the quality of the included literature, the journal types were limited to Peking University Core, China Science Citation Database (CSCD) and Chinese Social Sciences Citation Index (CSSCI). Based on text mining technology and bibliometric methods, this paper used VOSviewer software to draw a co-word timeline network map, and deeply analyzes the structural relationship and evolution characteristics of research hotspots in chronic disease management. Based on cluster analysis and strategic coordinate analysis, the research status and development trend of its clustering theme were revealed. The topic trend degree index was constructed by weighting and superimposing the characteristic indexes including topic novelty and intensity indexes. The three exponential smoothing way was used to predict and analyze the time series of topic trend degree.

    Results

    At the initial stage, the research focus in the field of chronic disease management was policy-oriented and fragmented, and gradually developed towards a diversified trend, forming a multi-center network structure with core nodes, such as "diabetes" "hypertension" "community" "management mode" "hierarchical diagnosis and treatment" "medical consortium" "Internet medicine", and "sports medicine integration".

    Conclusion

    The related literature in the field of chronic disease management showed an exponential growth trend. It has become a key research topic in academia. Multiple chronic disease management, chronic disease management of specific groups, psychological status of patients with chronic diseases, intelligent medical care, chronic disease management of traditional Chinese medicine, and big health management are emerging hot topics in the field of chronic disease management at this stage. Grassroots chronic disease management is a marginal research content, and the research results are not yet mature. In the future, we should focus on the research on the health management model of chronic disease comorbidity, continue to explore the deep integration mechanism of big data, cloud computing, Internet of things and wearable devices with chronic disease management, innovate the new model of chronic disease management based on the integration of medical treatment and prevention, and create a new health management plan for the whole population and the whole life cycle.

    Analysis of Research Hotspots and Development Trends of General Practice in the Last Five Years: a Visualization Analysis Based on CiteSpace
    WANG Songzhu, YAO Yi, ZHOU Yiheng, ZHAO Jiaxi, YANG Rong, ZHAO Qian, ZHANG Rui, DAI Hua, LI Dongze, LIAO Xiaoyang, YANG Hui
    2025, 28(19):  2330-2337.  DOI: 10.12114/j.issn.1007-9572.2024.0124
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    Background

    General practice played a crucial role in primary health care and its development had become a key measure to meet the growing health needs of the population. Understanding the research hotspots and development trends in general practice can better guide its research.

    Objective

    To analyze the research hotspots and development trends in general practice over the last five years, providing references for the development of general practice as a discipline.

    Methods

    The Web of Science core collection database was used as the data source to search for relevant literature in the field of general practice from January 2019 to November 2023, and co-occurrence analysis of authors, countries and institutions, co-cited literature cluster analysis, keyword cluster analysis and emergence analysis were performed using CiteSpace software.

    Results

    A total of 9 580 relevant documents were retrieved. Research on general practice was mainly concentrated in the United States, the United Kingdom and Australia. The University of Melbourne had the most publications, and PARKER MAGIN was the author with the most publications. Current hotspots in general practice research included postgraduate education, hospice care, professional burnout among family physicians, telemedicine, qualitative research, with emphasis on demographics like females and the elderly, psychological well-being, and chronic disease management. The trends in this field were medical education and training, population health, and telemedicine.

    Conclusion

    Over the past five years, research hotspots in general practice have primarily focused on chronic disease management and treatment, postgraduate education in general practice, hospice care, occupational burnout among family physicians, key populations, and mental health. Furthermore, emerging trends indicate that telemedicine, population health, and general practice education and training will likely dominate future research directions in this field.

    Research on the Privacy-preserving Technical Scheme and the Coordinative Policies Strategies for Big Data in Medical Imaging
    CHEN Kaiyuan, CHEN Long, ZHANG Yi, CHAI Runqi, WANG Na, ZENG Huatang, CHAI Senchun, LIANG Wannian
    2025, 28(19):  2338-2344.  DOI: 10.12114/j.issn.1007-9572.2023.0897
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    Background

    Responding to the increasing demand for privacy encryption in image-based medical big data, it is of great importance of proposing an innovative framework of coded-based privacy-preserving segmentation technology, and exploring the implementation pathways to facilitate the practical application of this technology from a collaborative perspective of technology and policy legislation.

    Objective

    To develop a privacy protection technology framework tailored for image-based medical big data, and propose policy and legislative coordination strategies to advance the technology's adoption, in order to enhance the healthcare informatization service system by combining technological innovation with policy support.

    Methods

    Construct the innovative framework for privacy preserving segmentation technology in medical image big data by literature review, theoretical analysis, technology framework development, experimental validation, and policy analysis, and then propose the policy and legislative coordination strategies.

    Results

    We successfully construct the innovative framework for privacy preserving segmentation technology in medical image big data and though the effectiveness verification, and propose specific policy and legislative recommendations addressing the inadequacies of existing laws and regulations in areas such as cloud data processing, liability attribution, technical standards, and special data protection.

    Conclusion

    Coded-based innovative framework for privacy preserving segmentation technology in medical image big data can enable effective sharing and utilization of image-based medical data by safeguarding patient's privacy, significantly enhance the data security and privacy protection level, and the proposing of corresponding policy and legislative coordination strategies offers novel insights and approaches to secure governance in this domain.

    Community Bone Health
    Strengthening the Foundation of Basic Healthcare Services to Support the Advancement of the Healthy China Initiative
    ZHU Liguo
    2025, 28(19):  2345-2345.  DOI: 10.12114/j.issn.1007-9572.2025.0094
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    Analysis of Prevalence Trends and Factors Influencing Key Bone Health Conditions
    GUO Xiangyun, ZHANG Yili, LI Ting, FENG Tianxiao, LI Linghui, SUN Kai, WANG Xu, QIN Xiaokuan, TIAN Jinzhou, ZHU Liguo, WEI Xu
    2025, 28(19):  2346-2353.  DOI: 10.12114/j.issn.1007-9572.2025.0059
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    Background

    With the deepening aging of China's population and the growing prominence of health issues among adolescents, bone health has emerged as a critical factor affecting the nation's overall health and quality of life. The report of the 20th National Congress of the Communist Party of China emphasized the implementation of a national strategy to actively respond to population aging, while the Healthy China 2030 Planning Outline advocates for the launch of a "Healthy Bones Initiative".

    Objective

    Focusing on the key populations of "the elderly and the young" in China's primary-level regions, this study analyzes the epidemiological status and influencing factors of representative bone health conditions-osteoporosis, adolescent idiopathic scoliosis, and lumbar disc herniation-in order to provide scientific evidence for the formulation of national and local health policies.

    Methods

    Relying on the strategic research and consultation project of the Chinese Academy of Engineering, a comprehensive literature search was conducted across databases including CNKI, PubMed, WHO, Embase, and Cochrane Library. The focus was on recently published sources such as the National Health Statistical Yearbook, the China Osteoporosis Epidemiology Report, the Health Examination Management Measures for Primary and Secondary School Students, the China Degenerative Spine Health Report 2023, as well as relevant provincial and municipal bone health statistics, disease white papers, and reports from related organizations. The search period covered publications from January 2010 to June 2024. The study primarily summarizes the epidemiological characteristics of three major bone-related conditions-osteoporosis, adolescent idiopathic scoliosis, and lumbar disc herniation-and explores associated influencing factors from demographic, socioeconomic, and lifestyle perspectives.

    Results

    Analysis of 40 studies published between 2010 and 2024 (≈2.1 million participants) shows that osteoporosis affects 4.5% of adults aged 40-49 years, 20.0% of those 50-59 years, and 29.0% of those ≥ 60 years, with prevalence exceeding 40.0% among women aged ≥ 50 years. The national diagnostic rate of adolescent idiopathic scoliosis was 1.2%, rising to 5.6% in high-altitude regions. Lumbar disc herniation occurs in 3.0%, 8.0%, and 11.0% of individuals aged 26-40, 41-60, and≥ 60 years, respectively, and its overall detection rate had increased from 2.0% to 12.0 % in the past decade. Sedentary behaviour, poor nutrition, and inadequate primary-level medical resources collectively drive the high burden of these three conditions.

    Conclusion

    Osteoporosis, adolescent idiopathic scoliosis, and lumbar disc herniation impose a substantial public health burden in China, highlighting the urgent need to address bone health issues among the key populations of the elderly and the youth. It is recommended to continuously improve the primary-level prevention and control system, enhance early screening, stratified diagnosis, and targeted intervention capabilities, and accelerate the advancement of health education and comprehensive management for high-risk groups.

    Study on the Assessment System of Bone Health Service Capacity of Primary Healthcare Institutions
    WEI Xu, YIN Yuhui, WANG Xu, YU Ruowen, ZHANG Yili, SUN Kai, WANG Hui, XIE Shiming, LI Yan, QIN Xiaokuan, YIN Xunlu, LI Linghui, ZHU Liguo
    2025, 28(19):  2354-2362.  DOI: 10.12114/j.issn.1007-9572.2025.0024
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    Background

    In the context of an aging society, the incidence of chronic degenerative bone and joint diseases has been increasing year by year, and the serious lack of capacity of primary bone health services has become a key constraint to the efficiency of disease prevention and treatment, and there is an urgent need to identify its weak points for accurate optimization and effective enhancement.

    Objective

    This study aims to construct an evaluation index system of bone health service capacity of primary healthcare institutions to cope with the increasing burden of chronic musculoskeletal diseases and the insufficient capacity of primary bone health services in an aging society.

    Methods

    From September 2024 to January 2025, Chinese journal databases such as CNKI, Wanfang Data Knowledge Service Platform, Wipu Chinese Science and Technology Journal Database, China Biomedical Literature Database, and English databases such as Web of Science, PubMed, Embase, etc. were used to search for information on the evaluation of the capacity of the primary osteopathic health care service related literature on the indicator system. We checked and sorted out the relevant policies and regulations and guidance outlines on the official websites of the Chinese Government Website, the National Health and Health Commission, and the State Administration of Traditional Chinese Medicine, etc., so as to get a preliminary understanding of the current research status of the evaluation of the capacity of bone health services, and to summarise and analyse the latitudinal framework that affects the evaluation results. Literature research method was used to sort out related literature and policies, semi-structured interviews and brainstorming method were used to construct a preliminary pool of index system entries. Delphi method was used to carry out two rounds of expert consultation to screen and optimize the indexes, and Hierarchical Analysis Method was used to determine the weights of the indexes.

    Results

    The study invited 24 experts from 21 regions and different professional fields in China. The positive coefficient of the experts reached 100.0%, and the authority degree was 0.906. The coordination coefficient of the experts' opinions in the two rounds suggested that the results of the study were credible. The finally constructed indicator system contains 3 first-level indicators, 15 second-level indicators and 40 third-level indicators. The first-level indicators are resource allocation, basic medical and public health services, and management and security, with weights of 0.198, 0.490, and 0.312, respectively, and the latitude of "basic medical and public health services" has the highest weight (0.490), which suggests that the enhancement of medical and public health services should be taken as the key task of capacity building of grassroots bone health services. The highest weight (0.490) was given to "basic medical and public health services", suggesting that the improvement of medical and public health service capacity should be regarded as the key task of primary bone health capacity building. In addition, the weights of indicators in the dimensions of talent cultivation, service efficiency, and medical collaboration are also relatively high, which is significant to the improvement of service capacity.

    Conclusion

    The evaluation index system of bone health service capacity of primary healthcare organizations formed in this study has high authority and scientificity, which provides reference and basis for further assessing the current status of bone health medical service capacity of primary healthcare organizations in China, and helps to promote the enhancement of bone health service capacity of primary healthcare organizations, and provides a scientific basis for the development of medical decision-making.

    Article
    An Evaluation of Basic Public Health Services Quality for Floating Population in China
    ZHOU Fang, DONG Yuan, WU Xiankui, JI Ying
    2025, 28(19):  2363-2369.  DOI: 10.12114/j.issn.1007-9572.2024.0218
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    Background

    The national basic public health service project has been in operation for more than 10 years since its inception in 2009, and the equalization of basic public health services is one of the most urgent needs of floating population in China.

    Objective

    To evaluate the basic public health services quality of floating population in China, find out existing problems and provide reference for improving the services of floating population.

    Methods

    The quality of basic public health services of the floating population in 31 provinces (direct-controlled municipalities, autonomous regions, excluding Hong Kong, Macao and Taiwan) was comprehensively evaluated by entropy-weight Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) method using the data of China Migrants Dynamic Survey from 2015 to 2018, and the main impact indicators of the evaluation results were analyzed by multiple regression. Using Rank Sum Ratio method to grade the evaluation results.

    Results

    The results of entropy-weight TOPSIS method showed that the Ci values of 31 provinces (direct-controlled municipalities, autonomous regions) range from 0.217 to 0.759. The main influencing indicators of the evaluation results were the rate of health records establishment, the rate of type 2 diabetes patients management, the rate of health check-up for children aged 0-6, the rate of health check-up for elderly aged 65 and above, the rate of health handbook establishment for children aged 0-6, the rate of visit within 28 days after delivery, the coverage rate of free pre-pregnancy health check-up for target population, the acceptance rate of health education services, the rate of pregnancy registration within 12 weeks, the basic free contraceptive coverage rate, the rate of basic free contraceptive surgical services, and hospital delivery rate. According to the RSR method, the results of evaluation were divided into 4 grades, the number of provinces (direct-controlled municipalities, autonomous regions) ranked as excellent, good, medium and poor was 2, 15, 12 and 2 respectively. The results of regional comparison showed a pattern of "Central > Western > Northeast > Eastern".

    Conclusion

    The quality of basic public health services is regionally and interprovincially uneven. We should strengthen the work of health system documentation, hypertension and diabetes management, physical examination of the elderly and children. In particular, the three major urban agglomerations in the eastern region and some mega-cities urgently need to improve the basic public health services quality of Chinese floating population.

    Analysis of Factors Influencing Avoidable Hospitalization for Elderly Hypertensive Patients
    HAO Aihua, ZENG Ziying, JIN Aiqiong, TANG Lingling, ZHENG Zique, MA Jingtai, ZHAO Jianguo, ZENG Weilin, XIAO Jianpeng, NIE Hui, YANG Ying
    2025, 28(19):  2370-2375.  DOI: 10.12114/j.issn.1007-9572.2024.0252
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    Background

    While many studies have focused on the hospitalization costs of hypertensive patients, few have examined avoidable hospitalization in hypertensive patients using big data.

    Objective

    This study aims to assess the prevalence of avoidable hospitalization among elderly hypertensive patients in Guangdong Province, providing insights for the integration and optimization of healthcare resources in the province's medical communities.

    Methods

    Health data for elderly individuals in Guangdong and hospitalization records from 2022 were integrated using the Guangdong Province Primary Healthcare Information Management System, the Guangdong Province Universal Health Information Platform, and inpatient case data. Influencing factors such as the number of general practitioners (GPs) per 10 000 population and the number of visits to primary healthcare institutions were obtained from the 2022 Guangdong Provincial Health Statistics Yearbook. A Logistic regression model was used to analyze the factors contributing to avoidable hospitalization.

    Results

    The rate of avoidable hospitalization among elderly hypertensive patients in Guangdong Province was 8.76%. The likelihood of avoidable hospitalization was significantly higher in females [OR (95%CI) =1.231 (1.217-1.246) ] compared to males. Using 90 years and older as a reference, hypertensive patients aged 65-69, 70-74, 75-79, and 80-84 years were 2.044 [OR (95%CI) =2.044 (1.981-2.109) ], and 1.640 times more likely to avoid the occurrence of hospitalization than older hypertensive patients aged 90 years and older, respectively [OR (95%CI) =1.640 (1.590-1.693) ], 1.288 times [OR (95%CI) =1.288 (1.248-1.329) ], and 1.110 times [OR (95%CI) =1.110 (1.073-1.147) ]. Using a GDP per capita of less than 100 000 yuan as a reference, hypertensive patients with a GDP per capita of 100 000 yuan and above were 1.314 times more likely to have an avoidable incidence of hospitalization than those with a GDP per capita of less than 100 000 yuan [OR (95%CI) =1.314 (1.278-1.350) ]. When the number of GPs was ≥4 per 10 000 population, hypertensive patients were 1.039 times more likely to have avoidable hospitalization compared to those in areas with fewer than 4 GPs per 10 000 population [OR (95%CI) =1.039 (1.105-1.063) ]. The probability of avoidable hospitalization decreased by 40.60% when the number of secondary and tertiary hospitals per 10 000 population was less than 0.20 [OR (95%CI) =0.594 (0.570-0.619) ]. Finally, compared to areas with fewer than 3 visits per capita to secondary and tertiary hospitals or grassroots institutions, those with ≥3 visits per capita had a 1.047 times higher probability of avoidable hospitalization in secondary and tertiary hospitals [OR (95%CI) =1.047 (1.021-1.074) ], and a 1.229 times higher probability in grassroots institutions [OR (95%CI) =1.229 (1.191-1.268) ] .

    Conclusion

    Gender and age are significant factors influencing avoidable hospitalization in elderly hypertensive patients. Higher GDP per capita, greater visit frequency, and more GPs were associated with increased likelihood of avoidable hospitalization, while the number of secondary and tertiary hospitals did not contribute to this risk.

    Research on the Current Status and Improvement Strategies of the Medical Service Capacities of Village Doctors in China
    LI Siqing, WANG Xuanxuan, XIE Kun, GAO Shuhong, CHEN Jiaying, ZHANG Chaoyang
    2025, 28(19):  2376-2383.  DOI: 10.12114/j.issn.1007-9572.2023.0818
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    Background

    With the nationwide implementation of the "Healthy China" strategy, the health disparities between urban and rural populations have narrowed. However, there is still a mismatch between the medical service capacities of village doctors and the medical service needs of rural residents. Village doctors are the first point of contact for rural residents' health concerns.

    Objective

    This study aims to evaluate the current medical service capacities of village doctors across the eastern, central, and western China, identify their strengths and weaknesses, and propose targeted strategies for improvement. The findings will provide references for building the capacities of primary health care professionals in rural areas.

    Methods

    In August 2020, the research group used the mixed methods of multi-stage stratified cluster sampling and typical sampling to select 3 916 village doctors from five provinces in the eastern, central, and western China. By distributing questionnaires on the "wjx.cn" platform, an online survey was conducted on the current status of the medical service capacities of village doctors from seven aspects: diagnosis and treatment of common and frequently occurring diseases, emergency response to critical conditions, standardized use of medical devices, community rehabilitation guidance, medical collaboration, medical document writing, and traditional Chinese medicine services.

    Results

    Among the 3 916 village doctors included in the analysis, 2 925 (74.7%) were able to diagnose and treat common and frequently occurring diseases. The competence rates of village doctors were highest in the central region (81.2%), followed by the eastern region (79.6%), and lowest in the western region (59.1%). 2 098 (53.6%) had the ability of emergency response to critical illnesses. The competence rates of village doctors were highest in the central region (61.6%), followed by the eastern region (52.3%), and lowest in the western region (40.1%). 2 081 (53.1%) could use medical devices in a standardized way. The competence rates of village doctors were highest in the central region (62.3%), followed by the eastern region (53.8%), and lowest in the western region (36.3%). 2 073 (52.9%) had the ability to provide community rehabilitation services. The competence rates of village doctors were highest in the central region (59.7%), followed by the eastern region (53.6%), and lowest in the western region (40.3%). 3 120 (79.7%) were capable of writing medical documents.The competence rates of village doctors were highest in the central region (82.6%), followed by the eastern region (82.0%), and lowest in the western region (72.7%). 2 190 (55.9%) possessed the ability of medical collaboration.The competence rates of village doctors were highest in the central region (61.0%), followed by the eastern region (57.9%), and lowest in the western region (45.3%). 2 443 (62.4%) were able to provide traditional Chinese medicine services. The competence rates of village doctors were highest in the western region (64.8%), followed by the central region (62.7%), and lowest in the eastern region (58.7%) .

    Conclusion

    Village doctors possess adequate medical service skills, essentially catering to the general medical service needs of rural residents. The overall medical service capacities should be improved, and there exist notable discrepancies in medical service capacities across various regions. It is recommended to strengthen the training of village doctors so as to enhance the overall quality of the primary health care professionals in rural areas, improve the construction of hardware facilities and information technology for village-level medical services, and promote the effective implementation of the first visit system at the primary health care level.

    Competence of Community-based Rehabilitative Service among Rural Doctors in China
    CHEN Xiufang, LI Siqing, HU Dan, GAO Shuhong, CHEN Jiaying, ZHANG Zhaoyang
    2025, 28(19):  2384-2389.  DOI: 10.12114/j.issn.1007-9572.2023.0816
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    Background

    Rural doctors are the most convenient providers of community-based rehabilitative services for chronic disease patients and disabled people in rural areas, with the promotion of graded diagnosis and treatment policies, people began to pay attention to the competence of community-based rehabilitative services among rural doctors.

    Objective

    By investigating the competence of community-based rehabilitative service among rural doctors, analyzing the shortage of competence, and providing references for improving it.

    Methods

    A multi-stage stratified cluster sampling and purposive sampling methods were used to select 3 916 rural doctors from five provinces in east, central, and western China. The survey was conducted from July to August 2020. The questionnaire mainly focused on investigating the possession of rural doctors' competence in rehabilitation function assessment and community rehabilitation guidance, as well as whether the competence could meet their actual work needs.

    Results

    Of the 3 916 rural doctors surveyed, 2 391 (61.1%), 3 704 (94.6%), 2 365 (60.4%) were found to have competence in rehabilitation function assessment, community rehabilitation guidance, and comprehensive community-based rehabilitative service, respectively. The comparison of the rehabilitation function assessing competence, community rehabilitation guiding competence, and comprehensive community rehabilitation service competence of rural doctors in the eastern, central, and western regions showed statistically significant differences (P<0.001), while the rural doctors in the western region had the lowest proportion of competence; There were statistically significant differences (P<0.05) in the proportion of the rehabilitation function assessing competence and the comprehensive competence of community rehabilitation services among rural doctors with different educational backgrounds and practicing qualifications. Rural doctors with an educational background of technical secondary school/ high school or below had a relatively higher proportion of competence, and general practitioners also had a relatively higher proportion of competence. The proportion of rural doctors who need to provide six services in daily work, including muscle strength grading assessment, motor function assessment, joint activity assessment, rehabilitation guidance for common disease patients, rehabilitation guidance for chronic disease patients, and rehabilitation guidance for disabled patients, was 73.5% (2 880/3 916), 73.8% (2 891/3 916), 74.1% (2 900/3 916), 96.3% (3 773/3 916), 95.9% (3 754/3 916), 89.1% (3 490/3 916), respectively. The proportion of the three classification competencies included in the rehabilitation function assessment competence that meet the work needs does not exceed 75.0%, and the three classification competencies included in the community rehabilitation guidance competence meet the work needs with a rate of 92.4% (3 487/3 916), 91.7% (3 441/3 916), 85.6% (2 987/3 916), respectively.

    Conclusion

    Overall, the community-based rehabilitation service competence of rural doctors in China is in relatively good condition. However, there are deficiencies in the competence of rural doctors in western China. The community-based rehabilitation service competence of rural doctors could meet the needs of rural residents, and with the gradual formation of the continuous rehabilitation service mode of staying in the hospital during the acute period and returning to the community during the recovery period, rural residents will have a higher demand for the community-based rehabilitation service of rural doctors. Therefore, positive measures should be taken to enhance the rehabilitation service competence of rural doctors, and practical exercises are the more effective measures we have found.

    Construction and Practice of Clinical Diagnosis and Treatment Technology Combining General Practice and Specialist in Shanghai Community
    LIU Hongya, YU Dehua
    2025, 28(19):  2390-2397.  DOI: 10.12114/j.issn.1007-9572.2023.0568
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    The development of the clinical diagnosis and treatment technology combined with general practice and specialist in the community is an important measure to improve the comprehensive service level of community health centers (CHCs), promote the more reasonable medical order, and implement hierarchical medical system. In this article, we find that most of CHCs in the city have carried out the clinical diagnosis and treatment technology combined with general practice and specialty, by analyze the documents related to the development of community health in Shanghai and published literature, and combine the survey results of these technologies carried out by Shanghai community health centers. It has become an important strategy for CHCs to improve their clinical capacity, the development of these technologies, by focusing on common and frequently-occurring diseases in the community, and combining its own medical advantages, to select appropriate disease types. However, during the development of the clinical diagnosis and treatment technology combined with general practice and specialist, there are some difficulties, such as the lack of relevant talents in the community and awareness of some experts on community specialized services, the difficulty of in-service education of general practitioners, besides, specialized drugs in the community and brand publicity on community characteristic technologies are also indispensible. The development of the clinical diagnosis and treatment technology combined with general practice and specialist in the community needs the policy support of the health administrative department. We suggest that CHCs should carry out the training of the combination of general practice and specialist in combination with the professional development of general practitioners, increase the drugs for specialty and special disease diagnosis and treatment, propagate the community characteristic technology in multiple ways, and explore the general practice and specialist combined diagnosis and treatment mode innovatively.

    Research on the Measurement System and Calibration of Thoracolumbar Vertebral Density Based on Artificial Intelligence
    XIONG Xin, LI Yang, SHI Feng, YANG Lian, DUAN Wei, CHEN Bei, LI Yong, ZHAO Linwei, FU Quanshui, FAN Xiaoping, YANG Guoqing
    2025, 28(19):  2398-2406.  DOI: 10.12114/j.issn.1007-9572.2023.0919
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    Background

    As China's aging population continues to grow, the incidence of osteoporosis has been steadily increasing, posing a significant health challenge for the elderly population. Furthermore, the high cost of diagnosing and treating osteoporosis highlights the importance of early diagnosis as a key strategy to reduce both patient suffering and healthcare expenses.

    Objective

    The objective of this study is to develop a chest and abdominal bone mineral density (BMD) measurement model using conventional chest and abdominal CT scans, with deep neural networks and machine learning algorithms. The abdominal BMD model is subsequently employed to calibrate the chest BMD measurements, with the goal of enabling automated BMD measurement and the diagnosis of osteoporosis.

    Methods

    This retrospective study collected 702 patients from Suining Central Hospital in Sichuan Province who underwent both chest CT scans and quantitative CT (QCT) examinations during the period from March 2022 to June 2023 (spanning approximately one year) as research subjects. Among them, 532 patients were randomly divided into a training set (426 cases, 80%) and a validation set (106 cases, 20%). An additional 170 patients were included in the internal testing set. This study used the diagnostic results of QCT as the reference standard and employs machine learning methods such as logistic regression, stochastic gradient descent, and random forest to construct osteoporosis classification models and bone density regression models for the chest and abdomen, the established model was also tested internally. The performance of the classification models was evaluated using sensitivity, specificity, accuracy, precision, and area under the receiver operating characteristic curve (AUC), while regression model performance was assessed using mean absolute error (MAE), root mean square error (RMSE), and R-squared.

    Results

    The results showed that the AUC values for the osteoporosis classification models in the validation set were 0.948 for the chest model and 0.968 for the abdominal model. The mean absolute errors of the BMD regression models were 10.534 and 9.449, respectively. In the internal testing set, the AUC values for the classification models were 0.905 and 0.926, and the MAE for the regression models were 9.255 and 7.924, respectively. After calibration, the AUC and MAE of the chest BMD measurement model in the validation set improved to 0.967 and 10.511, respectively.

    Conclusion

    The AI-based chest and abdominal BMD measurements demonstrate a high correlation and consistency with QCT measurements, effectively diagnosing osteoporosis. The calibrated chest BMD measurement model further enhances diagnostic performance and offers significant potential for the application of chest CT scans in opportunistic osteoporosis screening.

    Predicting Response to Neoadjuvant Therapy in Breast Cancer Using Deep Learning on Primary Core Needle Biopsy Slides
    LUO Yunzhao, JIANG Hongchuan, XU Feng
    2025, 28(19):  2407-2413.  DOI: 10.12114/j.issn.1007-9572.2023.0512
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    Background

    Preoperative neoadjuvant therapy (NAT) is a standardized treatment for locally advanced breast cancer. However, only a portion of patients are sensitive to NAT, hence it is very important to predict the treatment efficacy before NAT. Previous studies have used statistical methods combined with clinical data or deep learning methods combined with medical imaging to predict the efficacy of NAT in breast cancer, but without good results.

    Objective

    A deep learning model based on core-needle biopsy whole slide images (WSI) of breast cancer (DL-CNB) was trained using the multiple instance learning (MIL) method to predict pathological complete response (pCR) and visualize related tumor areas.

    Methods

    A retrospective study was conducted to collect the clinical data and biopsy hematoxylin-eosin (HE) stained slides of breast cancer patients who received NAT in Beijing Chaoyang Hospital from April 2019 to April 2022. A total of 195 patients were selected according to the inclusion and exclusion criteria. Patients were divided into pCR group (MP=5, n=40) and non-pCR group (MP=1-4, n=155) according to Miller-Payne (MP) grading. The clinical data were analyzed and the Logistic regression model of pCR influencing factors was constructed. All WSI images were randomly divided into training set and test set in a ratio of 4∶1, and 25% of the data from the training set was taken as verification set. All tumor cell regions in each WSI were labeled, and the training set was prepared by sliding window extraction, data screening, data enhancement, and normalization. Compared with five convolutional neural network models, the optimal model was selected as the feature extractor of DL-CNB. Parameters were set to train the DL-CNB model. The predictive value of DL-CNB was evaluated by using independent test set. To realize the visualization of the important regions related to prediction in the WSI, heat map was drawn according to the weights obtained by the attention-based module.

    Results

    The proportion of patients with high histological grade, ER negative, PR negative, HER2 positive and Ki-67 high expression in pCR group was higher than that in non-pCR group, and the difference was statistically significant (P<0.05). Compared with the HR+/HER2-, HR-/HER2+ (OR=10.189, 95%CI= 3.225-32.187) and HR+/HER2+ (OR=3.349, 95%CI=1.152-9.737) predicted patients' achie pCR (P<0.05). The AUC of the logistic regressmodel is 0.769, with an accuracy of 81.000%. The AUC of DL-CNB model in the independent test set was 0.914, and the accuracy was 84.211%. Pieces of tumor region labeled non-pCR and pCR in the independent test set were randomly selected for visual display.

    Conclusion

    The DL-CNB model enables the prediction of pCR in neoadjuvant therapy and visualization of important regions by WSI of breast cancer biopsies. The prediction results are better than the clinical data Logistic regression method. Therefore, we can provide clinical decision-making reference for breast cancer patients who meet the indications of NAT, and assist the realization of individualized precision treatment, which is of great significance to improve the quality of life and survival expectancy for patients.

    Research on the Present Situation and Effectiveness of Public Health Informatization in Primary Care in Sichuan Province
    YANG Juan, GONG Jing, LIU Bo, WU Yingmin, CHEN Ling
    2025, 28(19):  2414-2420.  DOI: 10.12114/j.issn.1007-9572.2023.0932
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    Background

    Health informatisation is an effective means to enhance the service capacity of primary healthcare institutions. Since the 12th Five-Year Plan, Sichuan Province has attached great importance to the construction of primary health informatisation, with a view to realising the enhancement of the management level and service capacity of primary healthcare institutions empowered by health information. However, there is a lack of research on the current status of health informatisation construction and application in the province.

    Objective

    Summarise the current situation and effectiveness of information technology construction in primary healthcare institutions in Sichuan Province.

    Methods

    From May to June 2023, a questionnaire survey was conducted on 143 district and county health administrative departments and 1 028 primary healthcare organisations in 21 cities and states in Sichuan Province using stratified random sampling method. The questionnaires were developed in terms of information personnel, information infrastructure, information systems, and IT applications. The questionnaires were deployed in the unified primary healthcare platform at the provincial level and were filled in by personnel familiar with information technology construction in each primary healthcare institution.

    Results

    In terms of personnel, 40.95 per cent (421/1 028) of the institutions had information staff, with an average of (0.48±1.12) part-time staff and (0.25±1.08) full-time staff per institution. Information standardisation has been completed in primary healthcare institutions, forming a pattern of coordinated construction at the provincial level. In terms of system construction, 98.83 per cent (1 016/1 028), 99.61 per cent (1 024/1 028) and 99.32 percent (1 021/1 028) were equipped with the HIS, the basic public health service system, and the contracted management system for family doctors, respectively, an average of (2.28±2.63) clinical service systems, (2.56±1.97) medical management systems, and (10.00±20.81) out-of-hospital/supervisory bar systems were used. In terms of technology application, the rate of electronic health records reached 94.93% (2 021/2 129), the total use of electronic medical records reached 77.43% (796/1 028), and 32.60% (1 091/3 347) of the institutions' TCM centres were connected to the Sichuan Provincial TCM Center Health Information Platform, which realized health record access, consultation contracting, consultation follow-up, and configuration of terminals for basic public health services accounted for 83.46% (858/1 028), 56.91% (585/1 028), 68.77% (707/1 028), and 81.91% (842/1 028), respectively, and 74.12% (762/1 028) of the institutions at the upper and lower levels of the healthcare consortium carried out business synergies.

    Conclusion

    Since the 'Twelfth Five-Year Plan', the overall construction of information technology in primary healthcare institutions in Sichuan Province has been better, showing the development trend of comprehensive consolidation of infrastructure, diversified development of basic medical service functions, integrated integration of basic public health service functions, gradual adaptation of information technology to the development of integrated healthcare service system, and continued expansion of the application of new technologies. Eco-application scenarios of primary healthcare informatisation.

    Promote the Construction of Compact County-level Medical Consortium: Break Through the Barriers to Collaborative Governance and Optimize the Ecological System
    CUI Longyan, WANG Min, TAO Hongbing
    2025, 28(19):  2421-2425.  DOI: 10.12114/j.issn.1007-9572.2024.0632
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    The construction of compact county medical health community has entered the stage of comprehensive promotion. There are huge opportunities and challenges to improve the coverage and construction level of the compact county-level medical community. This researchsummarized relevant policies and literature at home and abroad, and analyzed the related era background of the development of compact county medical health community and the key influencing factors of their development, sort out the key barrier factors such as payment methods, management systems, service models and information sharing as well as their internal logical relationships, and put forward targeted countermeasures. The construction of compact county medical health community need the scientific integration of medical and health resources within county area. Meanwhile, it is necessary to formulate prepaid plan of population-based global budget and rational formulation in a scientific and rational manner. Moreover, multiple barriers such as payment barriers, institutional barriers, service barriers and information. barriers need to be removed, blockages need to be cleared, broken links need to be connected, and difficulties need to be overcome, so as to eshape the ecology of the medical service system, truly implement the concept of health-centeredness, and enable county residents to enjoy high-quality, continuous and efficient medical and health services.

    The Mechanism of Information Construction Enabling High-quality Development of Compact County-level Medical Consortium
    BIAN Ying, YIN Gang, ZHANG Zixun, TAO Hongbing
    2025, 28(19):  2426-2432.  DOI: 10.12114/j.issn.1007-9572.2024.0271
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    Background

    With the comprehensive launch of the information construction of China's close-knit county-level medical consortium, localities are making full use of Internet information technology to explore mechanisms suitable for the development of county-level medical consortium, and how to rely on information technology construction to enhance the capacity of primary health care services has become an important issue.

    Objective

    Explore the mechanism of information construction to empower the high-quality development of compact medical consortium.

    Methods

    Purposive sampling method was used to conduct semi-structured interviews in December 2023 with 28 medical staff from the medical community in County G. The interview topics centered on the characteristics and highlights of the medical community in the construction of information technology, its effectiveness, and the application of information technology in the internal management of the medical community, etc. At the same time, policy documents and news reports on the construction of the county-level medical community were selected to serve as the secondary data. The interview data and secondary data were coded and analysed through open coding, axial coding and selective coding, following programmed rooting theory approach.

    Results

    Through open coding, 134 concepts and 48 basic categories were extracted; 6 main categories were obtained through axial coding. Theoretical framework was formed through selective coding, which mainly consists of 4 mechanisms, they were the mechanism of top-down linkage, the mechanism of integration of medical treatment and prevention, the mechanism of data sharing, the mechanism of fund management.

    Conclusion

    County G medical consortium improves the top-level design and strengthens the unified management and responsibility implementation of the medical consortium; and empowers the division of labor, service integration, interconnection and benefit-sharing mechanism among units of the compact county-level medical consortium through informatization, so as to promote the high-quality development of the compact county-level medical consortium.

    Integrated Service Model and Practice Dilemma of County-level Family Doctor Team under the Compact County-level Medical Consortium: Based on the Critical Incident Technique
    DAI Gaolanxin, YIN Gang, LI Hao, TAO Hongbing
    2025, 28(19):  2433-2440.  DOI: 10.12114/j.issn.1007-9572.2024.0385
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    Background

    Intensive county medical community plays an important role in improving the ability of primary medical service. As its service body, family doctor team provides quality soil for integrated service development. However, previous studies lack exploration and summary of relevant service models.

    Objective

    To summarize the integrated service model of family doctor team in the compact county medical community.

    Methods

    From July 2023 to November 2023, 62 family doctor team members in Dancheng City, Anyang City and Gongyi City of Henan Province were interviewed about integrated service practice by using semi-structured interview and key event technology.

    Results

    Four themes of integrated services are analyzed and further refined, they were subject, content, process, and obstacles of integrated services. Drawing on the physiological structure of "squid", this paper proposed "squid model" to describe the integrated service mode of the county family doctor team, emphasizing the core command role of the county medical community, the coordinating role of the family doctor management office, and the service antenna function of the county and village third-level family doctor team and village doctor.

    Conclusion

    "Squid model" provides an intuitive framework for understanding and optimizing this service model. The integrated service model of county family doctor team shows the characteristics of diversified subject participation and all-round service content integration, but it still faces certain obstacles.

    The Synergistic Mechanism of Capitation Prepayment and DRG Payment in Compact County-level Medical Consortium: from the Perspective of Holistic Governance
    ZHANG Zixun, YIN Gang, BIAN Ying, TAO Hongbing
    2025, 28(19):  2441-2448.  DOI: 10.12114/j.issn.1007-9572.2024.0535
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    Background

    All regions in China are actively promoting the reform of the prepaid payment method for the total amount of medical insurance in the context of the integrated medical community. However, the integration of DRG/DIP payment and the total amount payment policy within the integrated medical community is still in the exploratory stage. Although there have been studies on the cost control effect and cost control mechanism of the composite medical insurance payment method, there is still room for expansion.

    Objective

    To analyze the synergistic mechanism and effects of capitation prepayment and DRG payment in the compact county-level medical consortium.

    Methods

    In July 2023, a field survey was conducted in Yindu District. The convenience sampling method was used to select key informants within the integrated medical community for semi-structured interviews (n=28). The interview outline covered medical insurance payment reform policies and measures, incentive mechanisms, work perceptions and optimization suggestions, etc. Based on the holistic governance theory, the thematic framework analysis method was used to analyze the interview data to build a coordination mechanism framework for the prepaid payment for the total number of people and the DRG payment in the integrated medical community in Yindu District. Meanwhile, policy documents closely related to the construction of the integrated medical community and medical insurance reform in Yindu District published from January 2017 to July 2024 were retrieved (n=18) to supplement relevant policy background information.

    Results

    A thematic framework with 4 analytical themes, namely policy behavior, supervision behavior, service behavior and incentive mechanism, covering 12 sub-themes was formed. The medical insurance payment reform plays a key guiding role in the governance framework of the integrated medical community. There was a sequential compliance relationship between the prepaid payment for the total number of people and the DRG payment. The coordination mechanism between the prepaid payment for the total number of people and the DRG payment within the integrated medical community was achieved through mutual supplementation, improvement of policy behavior, supervision behavior and the incentive mechanism for service behavior. Both were indispensable for realizing resource integration and the goal of "health-centered" in the integrated medical community.

    Conclusion

    In a compact medical community, capitation prepayment and DRG payment systems, by establishing integration mechanisms and incentive structures, can synergize policy efforts, influence policy implementation behaviors, oversight activities, and the service delivery practices of healthcare institutions at all levels. Together, these factors contribute to the achievement of a "health-centered" goal.