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Table of Content

    05 February 2024, Volume 27 Issue 04
    Editorial
    General Practice in Medicine-Reflections of Lancet's Iconic Texts at Its Milestone of 200 Anniversary(3): General Practice in Julian Hart's Relation of Primary Care to Undergraduate Education
    YANG Hui
    2024, 27(04):  0-C4.  DOI: 10.12114/j.issn.1007-9572.2024.A0003
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    Guidelines·Consensus
    Expert Consensus on Digital Therapies for Insomnia in China
    China Sleep Research Society
    2024, 27(04):  381-390.  DOI: 10.12114/j.issn.1007-9572.2023.0602
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    Insomnia is the most common sleep disorder, which not only causes individual health damage, but also brings heavy social and economic burden. The traditional insomnia treatment model has the disadvantages of complicated process and high cost. With the development of information technology, the more convenient and low-cost digital therapy for insomnia (DTI) has been increasingly utilized. However, there is still a lack of standardized guidelines for DTI globally. To address this issue, the China Sleep Research Society collaborated with domestic experts in sleep medicine and medical engineering to develop the Expert Consensus on Digital Therapies for Insomnia in China, elaborates on the definition, indications, core principles, research and development, promotion and application, education and training, data protection, ethical supervision, aiming to establish a unified and comprehensive framework for DTI.

    Original Research
    Current Status and Implications of Ecology of Medical Care Model in Health Services Research: a Scoping Review
    ZHANG Zhengyan, WANG Zhenzhong, ZHANG Ji, GONG Enying, SHAO Ruitai
    2024, 27(04):  391-399.  DOI: 10.12114/j.issn.1007-9572.2022.0895
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    Background

    In the last decade, the application value of the ecology of medical care model has become prominent and received great attention from scholars. Differences and changes in the theoretical modeling constructs of the ecology of medical care model can reflect the transformation of the health care model to a certain extent, and provide an evidence base for understanding the health needs of population and the utilization of health services in China.

    Objective

    To integrate and compare researches using the ecology of medical care model, describe the current status of research using the ecology of medical care model, compare research methods and key findings.

    Methods

    In June 2022, PubMed, Ovid Medline, Web of Science, EmBase, China Biomedical Literature Service System, CNKI, and Wanfang were searched according to the keywords without limiting the language, from 1961 to 2022. Literature was screened, information was extracted and descriptive analysis was performed under the guidance of the Joanna Briggs Institute (JBI) methodology manual for scoping review.

    Results

    A total of 28 articles from the eligible literature were included, of which 22 (78.6%) were published after 2010. Most of the studies used the ecology of medical care model to focus on the health needs of the population, healthcare resource utilization patterns and healthcare-seeking behavior, and disease referrals. In terms of study population, most of the studies covered all-age populations (11 articles, 39.3%), and 7 studies (25.0%) were conducted on specific populations. Four studies were conducted in China, all in urban areas. Less attention was paid to self-seeking of help in patients (over-the-counter medicines, massages, etc.) in studies of developing countries (regions) compared to developed countries (regions), and available ecological models reflected lower rates of patient self-reporting of health problems (symptoms), but higher rates of hospital outpatient and emergency room visits in developing countries (regions) .

    Conclusion

    The ecology of medical care model and its research methods have evolved over the past two decades, remaining a valuable tool to help researchers and policy makers understand the demand for health care and the relationship between the supply and demand of health care resources. Currently, the application of the ecology of medical care is limited in China, but future studies are needed to apply this tool to reflect the health inequity and unmet health needs in China, carry out research in the field of population medicine, to provide evidence for improving the rational allocation of health resources in Chinese population.

    Patterns and Effects of Collaboration between Primary Care Providers and Medical Specialists in the Delivery of Integrated Health Care Services: a Scoping Review
    ZHANG Xiaoyi, XU Zhihan, YUAN Beibei, WANG Sheng, LIU Xiao, ZHOU Huilan, LI Zhansheng
    2024, 27(04):  400-407.  DOI: 10.12114/j.issn.1007-9572.2023.0204
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    Background

    Addressing current health challenges requires the integrated and continuous health care services. The collaboration between primary care providers (PCPs) and medical specialists other than general practice is the most common means of achieving this objective. The patterns and effect of collaborative working between different disciplines has a direct impact on the quality of integrated service delivery, which is critical to improving patient health outcomes.

    Objective

    To systematically review the characteristics of studies related to collaboration patterns between PCPs and medical specialists, contents of collaboration patterns and effects reported by the authors by using scoping review methods.

    Methods

    On September 3 in 2022, PubMed, EmBase, Web of Science, CNKI, and Wanfang Data Knowledge Service Platform were searched for literature related to collaboration between PCPs and medical specialists from inception to the date of search. The characteristics of literature, collaboration patterns and effects were extracted. The elemental decomposition of collaboration patterns was performed based on Mulave 'Gearing Up' model and the contents of collaboration patterns were integrated and demonstrated using content analysis method.

    Results

    A total of 420 relevant papers were included, of which 214 (51.0%) were committed to evaluating the effects of collaboration patterns, but specific contents of collaboration patterns could be extracted from 82 (19.5%) papers. The distinctive characteristics revealed by the extraction of limited information on the details of collaboration patterns included clear and formalized collaboration patterns, evidence-based guidelines/norms support for collaborative service contents, information systems and dedicated coordinators support for the collaboration between PCPs and specialists. Among the 82 papers, a total of 54 (65.9%) papers clearly reported indicators of effect, of which 90.7% (49/54) reported positive impact on service delivery and outcomes, ranging from service provision process, service utilization and health-related outcome indicators, however, higher proportion (90.7%, 49/54) of studies reporting positive effects could not exclude the presence of publication bias.

    Conclusion

    When collaboration patterns between PCPs and medical specialists other than general practice are implemented in integrated health services, it is necessary to ensure that approaches and contents of collaboration are specified, as well as the focus on the support of information systems and coordinators. Intervention studies related to health system and policy should emphasize describing the details of intervention design and implementation processes. Methodological quality assessment and meta-analysis are necessary to conduct in future studies on this topic.

    Development Trend and Equity Analysis of Human Resources for Health in China, 2005-2021
    YAN Wenxin, ZHANG Shimo, LIU Jue
    2024, 27(04):  408-426.  DOI: 10.12114/j.issn.1007-9572.2023.0551
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    Background

    The "Healthy China 2030" strategy has put forward higher demands for the allocation of health human resources, and more regional studies on the evaluation of the equity of health human resources have been conducted in China, but there is no overview of multiple categories of health human resources in various medical institutions from a national perspective.

    Objective

    To describe the trend and equity of 12 categories of health care institutions and 5 categories of health human resources in 31 provinces (autonomous regions and municipalities directly under the central government) nationwide from 2005-2021, so as to provide reference for the optimization of human resource allocation in various health institutions in the future.

    Methods

    National data on health human resources was collected from China Public Health Statistical Yearbook (2006-2012), China Health and Family Planning Statistical Yearbook (2013-2017) and China's Hygiene and Health Statistical Yearbook (2018-2022), demographic and economic data was collected from China Statistical Yearbook (2006-2022). The average annual growth rate and concentration index were calculated by collecting the per capita occupancy of each health human resource in medical and health institutions in each province (autonomous regions and municipalities directly under the central government) of China from 2005 to 2021, and the equity analysis was conducted based on the level of economic development.

    Results

    The total number of health personnel in China continued to rise, with an average annual growth rate of 5.58%, with faster growth in rural areas at an average annual growth rate of 10.87%; the number of health personnel in community health service centers (stations) had the fastest growth rate (average annual growth rate of 18.05%), the number of personnel in health supervision offices grew at a lower rate (average annual growth rate of 0.18%), and the number of personnel in disease prevention and control centers showed a decreasing trend (average annual growth rate of -0.39%). Except for community health service centers (stations), the concentration index of the total number of health personnel in all types of medical institutions was <0.20.

    Conclusion

    The per capita occupancy of each health human resource in medical and health institutions is growing faster in rural areas, the equity of human resources across health institutions in China is good, but the total amount is insufficient, and important institutions and personnel categories need attention. Investment in human resources for rural health should continue to be strengthened, and the state and provinces should stabilize the public health workforce, improve the development of primary health service institutions, and expand equity and accessibility.

    The Path to Improve Efficiency of Medical Resource Allocation in China Based on fsQCA Configuration Perspective
    LI Liqing, YANG Sule, WAN Lihan, LU Zuxun
    2024, 27(04):  413-419.  DOI: 10.12114/j.issn.1007-9572.2023.0265
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    Background

    At present, the problem of regional imbalance and lack of fairness in the allocation of medical resources in China remains prominent. The report of the 20th National Congress of the Communist Party of China clearly stated that it is necessary to promote the expansion of high-quality medical resources and balanced regional layout.

    Objective

    To explore the specific path to improve the efficiency of medical resource allocation in China, and provide scientific reference for realizing the rational and high-efficient allocation of medical resources in China and promoting the equalization of basic public services.

    Methods

    The study was conducted from September 2022 to February 2023, and the data were derived from the 2021 China Statistical Yearbook and 2021 China Health Statistics Yearbook. The data envelopment analysis (DEA) method was used to measure the efficiency of medical resource allocation in 31 provinces of China in 2020, considering the number of healthcare institutions, health technicians, and beds as input indicators, the number of visits and admissions as output indicators. Fuzzy-set Qualitative Comparative Analysis (fsQCA) was used to explore the synergistic influence mechanism of internal and external factors on the efficiency of medical resource allocation from a group perspective, taking resource allocation efficiency as the outcome variable, the ratio of health technicians, number of beds per 1 000 population, average hospitalization days of discharged patients, gross domestic product (GDP) per capita, disposable income of the residents, the fiscal revenue decentralization, and ratio of the budgetary expenditures on healthcare as conditional variables, to analyze the conditional configuration of high or non-high level of healthcare resource allocation efficiency, and clarify the multiple paths of efficient and inefficient allocation of medical resources.

    Results

    In 2020, the overall level of medical resource allocation efficiency in 31 provinces of China is relatively high, with an average of 0.852, but there were large differences among provinces. The results of configuration analysis showed that the improvement of medical resource allocation efficiency is the result of multiple factors, there are three paths for efficient allocation of medical resources. Path 1: government-led driving path, taking Guangxi Zhuang Autonomous Region as a typical case; Path 2: internal and external coordination driving path, represented by Yunnan Province and Gansu Province; Path 3: balanced driving path, with Guangdong Province, Fujian Province and Hubei Province as representative cases. There are also three paths of non-high medical resource allocation efficiency. Path 1: government-restricted path; Path 2: economic-government dual restriction path, representative cases included Heilongjiang and Jilin Province; Path 3: internal and external constraints path, the typical cases were Shanxi Province and Tibet Autonomous Region.

    Conclusion

    The internal and external elements and synergies between elements jointly affect the allocation of medical resources in the process of benign interaction, it is necessary to optimize the internal and external environment, and effectively integrate the key resource elements to form a joint force to promote the rational allocation of regional medical resources.

    Can Government Health Expenditures Influence Patients' Choice of Medical Care: an Empirical Study Based on the Suburbs of Beijing
    LYU Bo, MENG Kai
    2024, 27(04):  420-426.  DOI: 10.12114/j.issn.1007-9572.2023.0124
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    Background

    China's high-quality medical resources are concentrated in the urban areas of large cities, and patients tend to go to large hospitals, resulting in irrational access to medical care. For this reason, in recent years, the government has increased its financial expenditure to strengthen the construction of primary healthcare institutions, with the aim of promoting rational access to medical care by patients, and realizing hierarchical diagnosis and treatment.

    Objective

    To analyze the influence of suburban government health expenditure on suburban patients' choice of medical care, and provide a reference basis for promoting the reform of hierarchical diagnosis and treatment system.

    Methods

    On February 10, 2022, the number of outpatient visits (outpatient and emergency visits) and inpatient admissions to Beijing municipal hospitals, suburban hospitals, and suburban primary healthcare institutions in 10 suburbs of Beijing from 2015 to 2017 were collected as the explained variables. Per capita government health expenditure was selected as the explanatory variable, and the number of permanent residents, gross domestic product (GDP) per capita, and the number of health technicians per 1 000 population were selected as the control variables. Chow's test and Hausman's test were used to select appropriate data analysis models (mixed regression model, fixed-effects model, and random-effects model) in order to explore the influencing factors of patients' visits to municipal hospitals, suburban hospitals, and suburban primary healthcare institutions in suburban Beijing.

    Results

    The results of the fixed-effects model to analyze the factors influencing the choice of suburban patients' visits to municipal hospitals and suburban hospitals in Beijing showed that per capita governmental health expenditure, the number of health technicians per 1 000 population, GDP per capita, and the number of permanent residents were not the influencing factors for suburban patients' visits to municipal hospitals for outpatient and inpatient care (P>0.05), per capita government health expenditure and GDP per capita were influencing factors for suburban patients' outpatient and emergency care visits to suburban hospitals (P<0.05). The results of the random effects model to analyze the factors influencing the choice of patients from suburban areas of Beijing to seek medical care in suburban primary health care institutions showed that the permanent residents, GDP per capita, and per capita government health expenditure were influential factors for suburban patients' outpatient and emergency care visits to suburban primary healthcare institutions (P<0.05) .

    Conclusion

    At present, the phenomenon of "siphoning" patients in large hospitals still exists, and government health expenditure has not significant impact on suburban patients' access to municipal hospitals. However, increased government health expenditure can promote suburban patients to seek care in the region, which helps to achieve hierarchical diagnosis and treatment. The number of health technicians per 1 000 population has no significant effect on patients' choice of medical care. It is recommended to further increase the suburban government health expenditure, improve the medical service capacity of suburban medical staff, and encourage patients to seek medical care in the region.

    The Patient Satisfaction and Its Influencing Factors in Compact County Medical Community Based on Anderson Model
    CHEN Lijiang, HU Chuanfeng, TANG Jing, ZHENG Ruini, GUAN Xueling, HUANG Wenhao, QIN Zhaohui
    2024, 27(04):  427-453.  DOI: 10.12114/j.issn.1007-9572.2023.0101
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    Background

    The construction of compact county medical health community plays a key role in improving the utilization efficiency of rural medical resources and improving the capacity of primary health services. It is of great significance for improving compact county medical community to evaluate its construction based on patient satisfaction.

    Objective

    To understand the satisfaction of patients and influencing factors within the compact county medical community in Xinyi, Jiangsu, and provide a reference for further improving the construction of compact county medical community.

    Methods

    A questionnaire survey was conducted among 1 068 patients within the compact county medical community from October 22, 2020, to December 11, 2020 based on the Anderson model. The weight of each satisfaction index was determined by factor analysis and the overall satisfaction was calculated. The influencing factors of patients' satisfaction in the compact county medical community of Xinyi City were discussed by univariate analysis and multivariate Logistic regression analysis.

    Results

    A total of 1 100 questionnaires were distributed in this survey, and 1 068 valid questionnaires were recovered, with a valid recovery rate of 97.09%. The overall satisfaction rate of the patients was 64.23% (686/1 068). The results of multivariate Logistic regression analysis showed that occupation of enterprise and institution employee (OR=2.439), knowledge of health insurance policy was relatively (OR=1.635) and very well understood (OR=2.840), attendance at member hospitals (OR=1.938), inpatient visit (OR=1.994), physically disabled (OR=2.268) were associated with higher satisfaction with the compact county medical community (P<0.05) .

    Conclusion

    Personal characteristics and medical behaviors are the main factors influencing satisfaction of patients within the compact county medical community. It is necessary to strengthen the construction of compact county medical community and the medical service capabilities of core hospitals, improve the medical insurance payment policy, increase the publicity of the medical community and related policies.

    Investigation on the Situation of Primary Health Care Institutions and Home-based Medical Service in Sichuan Province
    ZHOU Luling, LIU Suzhen, LI Hang
    2024, 27(04):  433-439.  DOI: 10.12114/j.issn.1007-9572.2023.0018
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    Background

    In the context of increasing aging, diversified medical needs of the elderly and the constrains of medical resources, the demand for home-based medical services is increasing. Therefore, the development of home-based medical services are strongly encouraged in China. Sichuan Province, as a pilot area for geriatric home-based medical services, is currently operating mainly in primary health care institutions, and it is necessary to explore its condition and the current situation of service development.

    Objective

    To investigate the condition and current situation of home-based medical service of primary health care institutions in Sichuan Province, so as to provide reference for further promoting the standardization and development of home-based medical services.

    Methods

    From August to October 2021, a convenience sampling method was used to select the relevant persons in charge of 62 primary health care institutions in 7 cities in Sichuan Province as the subjects. Through self-designed questionnaires, data collection and survey analysis were conducted on the general information, human resources, the development of home health care and obstacles of the situations.

    Results

    Among the 62 primary health care institutions, the number of full-time medical staff varied widely, ranging from 10 to 316, with a median of 40 (40). The average proportion of medical staff to full-time employees was (84.9±11.3) %; the median percentage of physicians with junior titles or lower was 45.5% (24.2%), and the median percentage of nurses with junior titles or lower was 71.9% (34.2%) ; the medical-to-nursing ratio ranged from 0.43 to 2.63, with an average of (1.44±0.50). The differences were statistically significant when comparing the participation in accreditation of graded hospitals and part-time medical and nursing staff with the different locations of the institutions (P<0.05). There was a statistically significant difference in the service areas of the institutions when comparing the names of institutions, participation in the accreditation of graded hospitals, with inpatient beds, the proportion of medical staff, the ratio of doctors to nurses, the proportion of professional titles of medical staff (P<0.05). Fifty-one (82.3%) institutions had carried out home-based medical services, and there was an effect of chronic disease management on the development of home-based medical services (P<0.05). The service duration of 26 institutions (50.9%) was less than 3 years, 31 institutions (60.8%) were mainly serving elderly patients ≥60 years old with chronic diseases, 35 institutions (68.7%) had a workload of ≤1-2 days/week, and the service pathway was dominated by family doctor contract service (98.0%). The top three obstacles to the development of the home-based medical services were insufficient human resources, lack of corresponding standards and norms, and inadequate appropriate supporting policies.

    Conclusion

    The condition of primary health care institutions were distinct in different regions and service areas. The home-based medical services were widely available in Sichuan Province, but there is still room for improvement in terms of service forms, service hours and workload. It is suggested that all institutions should pay attention to the problems facing the current development according to their own conditions, improve the standards and norms related to home-based medical services, pay attention to chronic disease management and the construction of talent team, and further promote the rapid development of home-based medical services.

    Association between Nocturnal Sleep Status and Multimorbidity among Community-dwelling Older Adults in China
    XIA Gaoyan, LIU Ming, QI Yuxin, XIAO Peigen, DING Xiaojiao, NING Rongrong, YE Xianfeng
    2024, 27(04):  440-446.  DOI: 10.12114/j.issn.1007-9572.2023.0400
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    Background

    With the rapid progression of aging in China, the challenge of multimorbidity has become a significant concern for both public health and clinical practice. Nocturnal sleep status, including sleep duration and quality, is crucial for regulating body metabolism and physiological functions in the elderly. However, current research on the relationship between nocturnal sleep status and multimorbidity was limited to specific regions or the middle-aged population. The association between nocturnal sleep status and prevalence of multimorbidity among community-dwelling older adults remains ambiguous.

    Objective

    To investigate the association between nocturnal sleep status and prevalence of multimorbidity among community-dwelling older adults.

    Methods

    In April 2023, a total of 11 917 community-dwelling older adults from the Chinese Longitudinal Healthy Longevity and Happy Family Study (CLHLS-HF, wave 2018) were selected as the participants. Multivariate Logistic regression was used to explore the association of sleep duration and sleep quality with the prevalence of multimorbidity, represented by odds ratios (OR) and 95% confidence intervals (95%CI). Additionally, restrictive cubic splines (RCS) based on Logistic regression analysis were utilized to analyze the dose-response relationship between sleep duration and prevalence of multimorbidity.

    Results

    Of the 11 917 community-dwelling older adults, with an average age of (84.4±11.4) years ranged from 65.0 to 117.0 years, 6 477 were females (54.35%) and 5 440 were males (45.65%). Multivariate Logistic regression results after adjusting for covariates such as gender, age, region, and years of education, indicated that compared to those with 6-8 h of nocturnal sleep duration, older adults with shorter sleep duration (<6 h) had a higher prevalence of multimorbidity (OR=1.51, 95%CI=1.36-1.67, P<0.05) ; compared to those with good sleep quality, individuals with fair sleep quality (OR=1.34, 95%CI=1.22-1.46, P<0.05) and poor sleep quality (OR=2.14, 95%CI=1.91-2.40, P<0.05) were associated with higher prevalence of multimorbidity. RCS plots revealed a "U" -shaped nonlinear association between sleep duration and prevalence of multimorbidity, with an optimal sleep duration of approximately 7 hours.

    Conclusion

    Community-dwelling older adults with sleep durations less than 6 hours, fair or poor sleep quality, are associated with an increased prevalence of multimorbidity. The optimal sleep duration for community-dwelling older adults is approximately 7 hours. Normal sleep duration and good sleep quality are important for the prevention of multimorbidity.

    Influencing Factors of Multimorbidity among Middle-aged and Elderly People in Ningxia Based on Social Determinants of Health
    MA Chunfang, TANG Rong, YANG Xiaohua, LI Yue
    2024, 27(04):  447-453.  DOI: 10.12114/j.issn.1007-9572.2023.0353
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    Background

    With the acceleration of population aging, the health problems of middle-aged and elderly people are prominent. Multimorbidity seriously threaten the health and quality of life of middle-aged and elderly people, and hinder the progress of Healthy China Initiative. It is of positive significance to explore the relationship between multimorbidity and social determinants of health.

    Objective

    To understand the multimorbidity and social determinants of health among the middle-aged and elderly people in Ningxia, and analyze the relationship between the social determinants of health and multimorbidity, so as to provide reference for the health management and intervention strategies for middle-aged and elderly people.

    Methods

    A multi-stage stratified random sampling method was used to investigate the health related data of 1 997 middle-aged and elderly people in 10 districts/counties of Shizuishan City, Yinchuan City, and Guyuan City in Ningxia from June 27, 2022 to August 27, 2022. The Apriori algorithm was used to analyze the comorbidity patterns of middle-aged and elderly people in Ningxia, and unconditional Logistic regression analysis was used to explore the correlation between multimorbidity and social determinants of health among middle-aged and elderly people in Ningxia.

    Results

    There were 418 middle-aged and elderly people in Ningxia with a comorbidity rate of 20.9%; the results of association rules showed 14 comorbidity patterns, of which 11 were related to coronary heart disease, 9 to hypertension, and 9 to diabetes; the results of unconditional Logistic regression analysis showed that middle-aged and elderly people aged ≥60 years, with 2-3 children, established family archives, retired or unemployed work status, and resident pension insurance had a higher incidence of multimorbidity (P<0.05), while middle-aged and elderly people with nighttime sleep duration of 7-8 hours and more than 8 hours, and education level of college or above had a lower incidence of multimorbidity (P<0.05). Conclusion The factors influencing the comorbidity of chronic diseases in middle aged and elderly people involve individual, community and social aspects. It is recommended to intervene in chronic comorbidity patients from a multidimensional perspective with a view to improving the health of the population.

    Preference for Community Health Services of Patients with Multimorbidity
    WEI Lifang, ZHANG Ling, TAN Ya, LUO Xiu
    2024, 27(04):  454-467.  DOI: 10.12114/j.issn.1007-9572.2023.0345
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    Background

    As aging process continues to accelerate in China, multimorbidity have become a major public problem that threatens the health of the entire population. In the current context of "Healthy China 2030", the health management of patients with multimorbidity needs to be urgently addressed.

    Objective

    To understand the preferences influencing the choice of community health services for patients with multimorbidity, explore the willingness to pay (WTP) of patients, so as to provide recommendations for improvements to the existing community health service system for chronic diseases.

    Methods

    Patients with multimorbidity were randomly selected from eight community health service centers in Chengdu during the period from May to August 2022 as survey subjects. General patient data and preferences related to discrete choice experiments were collected through on-site questionnaire surveys. Based on different types of comorbidities, patients with type 2 diabetes combined with hypertension, hypertension combined with coronary heart disease, type 2 diabetes combined with hypertension and coronary heart disease were categorized into ClassⅠ, ClassⅡ, and ClassⅢ. Regression analysis was conducted using mixed Logit model to analyze the preferences of multimorbidity patients for community health services, and to quantitatively analyze their WTP for community health services.

    Result

    A total of 360 questionnaires were distributed and 296 valid questionnaires were recovered, with a valid recovery rate of 82.7%. ClassⅠpatients (β=3.260, 95%CI=2.610 to 3.910), ClassⅡpatients (β=3.697, 95%CI=2.612 to 4.781), and ClassⅢpatients (β=3.220, 95%CI=2.271 to 4.169) expressed the strongest preference for services with high accessibility to drugs, followed by appointment referral services and traditional Chinese medicine (TCM) services. Regarding physician types and prescription service duration, both ClassⅠpatients (β=0.971, 95%CI=0.585 to 1.357) and ClassⅡpatients (β=0.686, 95%CI=0.176 to 1.197) preferred services with extended prescription services, while ClassⅢpatients (β=0.804, 95%CI=0.196 to 1.413) preferred services provided by general practitioners (β=0.804, 95%CI=0.196 to 1.413). ClassⅠpatients (β=-0.049, 95%CI=-0.057 to -0.041), ClassⅡpatients (β=-0.040, 95%CI=-0.051 to -0.029), and ClassⅢpatients (β=-0.037, 95%CI=-0.048 to -0.027) preferred services with lower out-of-pocket expenses. The results of the regression analysis of WTP for patients with different chronic comorbidity types showed that the WTP of all 3 types of patients was related to their level of preference for each attribute, with ClassⅠ, ClassⅡ, and ClassⅢpatients all had the highest WTP for a high level of drug accessibility, which were RMB 66.77/month, RMB 91.97/month, and RMB 85.95/month, respectively.

    Conclusion

    Patients with multimorbidity exhibit significant preferences for six attributes considered in this study (physician type, TCM service, prescription service duration, drug accessibility, appointment referral, and monthly out-of-pocket costs). Drug accessibility is the most important attribute influencing multimorbidity patients' health service preferences. It is recommended to target patients' specific needs accurately, improve appointment referral services, establish standards for the management of chronic diseases in the community, and accelerate the integration of TCM into the prevention and treatment of chronic diseases in the community.

    Optimal Strategies for Determining the Duration of Washout Period in the Context of Identifying Chronic Disease Onset Cases Based on Administrative Data: a Systematic Review
    YANG Wenyi, WANG Jingxin, AI Limei, WAN Xia
    2024, 27(04):  460-467.  DOI: 10.12114/j.issn.1007-9572.2023.0005
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    Background

    When using administrative data, the establishment of clear and appropriate duration of chronic disease washout period is the basis for correctly identifying the point of onset of chronic disease in patients with recurrent visits and identifying new cases.

    Objective

    To review the methods for determining the duration of washout period by a systematic review of literature, in order to provide ideas for Chinese researchers to confirm the duration of washout period and correctly identify new cases with subsequent use of administrative data to identify new cases of chronic diseases.

    Methods

    In October 2021, PubMed, Web of Science, EmBase, CNKI, CQVIP and Wanfang Knowledge Service Platform were systematically searched for literature on the use of administrative data to explore the incidence and prevalence of chronic diseases from inception to 2022-10-01. Two researchers independently screened literatures and extracted relevant information, evaluated the quality of literature by using the Standards for Reporting Qualitative Research (SRQR) scale, and summarized the determination method of the duration of washout period.

    Results

    A total of 26 papers were included, and the SRQR scores of the included literature were all≥15, indicating good methodological quality. The data used in the literature were mainly from Canada, the United States, Australia and other countries (regions) with complete and abundant administrative data, and focused on a variety of chronic diseases, including diabetes, tumor, schizophrenia and other chronic diseases. The study pointed out that setting an appropriate washout period duration is the basis for accurate identification of onset cases. The methods used to determine the duration of washout period in literature were mainly divided into three major categories, including direct restriction method, consistency test method and retrograde survival function method. Among them, the most commonly used method was direct restriction method, while the retrograde survival function method had a relatively low usage rate.

    Conclusion

    Direct restriction method, consistency test method and retrograde survival function method all have corresponding advantages and limitations. The selection, judgment criteria and stability of the method need to be further explored.

    Construction of an Evaluation Index System for Consultation Competency of General Practitioners in Primary Health Care Settings Based on Leicester Assessment Package
    GU Jingmei, QIN Li, ZHAO Can, PENG Houxuan, XI Qian, SHEN Ying
    2024, 27(04):  468-475.  DOI: 10.12114/j.issn.1007-9572.2023.0399
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    Background

    Training general practitioners (GPs) and improving the practice competence of "GP-centered" primary health care personnel are important directions of the development of human resources for primary health care in China. At present, there is lack of an index system applicable to evaluate clinical competence of GPs in the circumstances of primary health care in China, which not only hampers accurate identification of gaps in clinical competence of GPs, but also impedes sustainable improvement of the education and training of GPs as well as primary health care personnel.

    Objective

    To develop an evaluation index system for consultation competency of GPs in the circumstances of primary health care in China based on the original version of Leicester Assessment Package (LAP), so as to provide an index model reference for the objective evaluation of consultation competency of GPs.

    Methods

    Between May to August in 2022, a total of 15 experts were invited by using the purposive sampling method to implement the Delphi method by correspondence, to evaluate the importance, feasibility, and textual representation of each index in the initial evaluation index system for consultation competency of GPs. Analytic hierarchy process was adopted to calculate weight and combined weight for the first-level and secondary-level indexes.

    Results

    A total of two rounds of Delphi were conducted. The positivity coefficient, familiarity level, judgment coefficient, and authority coefficient were 100%, 0.77, 0.91, and 0.84 in both rounds of consultation; the mean score of the importance and feasibility of each indicator was 3.5, and the variation coefficient was 0.3. The Kendall coefficients for the importance and feasibility of the indexes in the two rounds of consultation were statistically different (P<0.001) and higher in the second round than in the first round. A total of 10 comments recommended to increase indexes, one comment to combine indexes, and 29 comments to modify indexes were collected during two rounds of Delphi consultation. The final version of evaluation system consisted of 7 first-level indexes and 42 second-level indexes, the weights of the 7 primary indicators ranged from 13.61% to 14.69%, and the combined weights of the secondary indicators ranged from 0.95% to 4.91%.

    Conclusion

    This study has constructed an evaluation index system for consultation competency of GPs in the circumstances of primary health care in China based on the original version of LAP. The evaluation index system includes 7 first-level indexes and 42 second-level indexes, which covers each essential section and important missions in GP consultations with high scientificity and practicality.

    Validity and Reliability of an Evaluation Index System for Consultation Competency of General Practitioners Practicing in Primary Care Settings
    GU Jingmei, JI Shuyu, XI Qian, PENG Houxuan, QIN Li, ZHAO Can, CHEN Peimeng, HUANG Xiaocui, LIANG Ruiying, SHEN Ying
    2024, 27(04):  476-484.  DOI: 10.12114/j.issn.1007-9572.2023.0398
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    Background

    Currently, there is a lack of clinical competence evaluation tools applicable of general practitioners (GPs) practicing in rural settings in China, resulting in the lack of researches on the clinical competence evaluation of GPs in rural.

    Objective

    To explore reliability and validity of an evaluation index system for consultation competency of rural GPs developed previously, and provide an evaluation tool with high reliability and validity for scientific and objective assessment of consultation competence of GPs in rural settings.

    Methods

    Based on the evaluation system for consultation competency of rural GPs, a corresponding questionnaire was designed, and points were assigned to each option on a 5-point Likert scale. From September to December 2022, GPs or assistant general practitioners (AGPs) who were working in rural township health centers in Guangxi Province were recruited as the research subjects by using the purposive sampling and stratified sampling methods, the questionnaire was distributed through a national web-based survey platform-"WJX" to them. Cronbach's α coefficient, split-half coefficient, critical ratio (CR) and correlation coefficients were calculated based on questionnaire data. Confirmative factor analysis was employed to fit questionnaire data and assumed model, and calculate three categories of indicators, including preliminary fit criteria (PFC), overall model fit (OMF), and fit of internal structural model (FISM), to verify the degree of fit and structural validity of the measured data.

    Results

    A total of 600 questionnaires were distributed and 366 were validly collected, with an effective recovery rate of 61.0%, 86.1% were registered as GPs and 13.9% as AGPs, who came from five cities, including Nanning, Guilin, Wuzhou, Baise, and Guigang, and 204 township health centers in Guangxi Province. Cronbach'α coefficient for the whole questionnaire or for every section was higher than 0.700, and Guttman Split-Half coefficient was 0.931. The initial first-order model met the PFC well; except for goodness of fit index (GFI), adjusted goodness of fit index (AGFI), and normed fit index (NFI), other indicators related to the OMF reached for the best levels in the modified first-order model. Apart from R2 for 9 observable variables less than 0.5, the FISM for the modified first-order model showed good effects. The initial second-order model indicated as similar effects on the PFC as the initial first-order model; the modified second-order model shared similar OMF with the modified first-order model; the modified second-order model was inferior to the modified first-order model in terms of the FISM. Eventually, questionnaire data fitted the modified first-order model better.

    Conclusion

    The evaluation index system for consultation competency of rural GPs shows high reliability and validity, which can be used for research and practical work on the evaluation of consultation competence evaluation of GPs in rural settings.

    Bibliometric Analysis of Advances in mHealth Technology Application in Chronic Disease Management
    SHI Bowen, MA Huimin, PAN Yanzhi, MA He, YANG Chen, XIONG Juyang
    2024, 27(04):  485-492.  DOI: 10.12114/j.issn.1007-9572.2023.0137
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    Background

    The research related to mHealth technology in chronic disease management has developed rapidly in recent years, however, the research trends, hotspots and cutting-edge issues in this field remain unclear.

    Objective

    To systematically review the application and development of mHealth technology in chronic disease management and provide reference for future research.

    Methods

    Using Web of Science Core Collection and PubMed as the source of literature data, the relevant literature was searched from 1997 to 2022 by CiteSpace 6.1.R 3 software on October 18, 2022, restricting the language to English, and excluding conference papers, conference abstracts, online publications, editorials, letters, book chapters, news, and other non-compliant contents. National regions, disciplinary intersections and keywords were analyzed to grasp the current status and hotspots of related research internationally, and the cutting-edge issues and research trends of mHealth technology in chronic disease management were comprehensively analyzed using keywords clustering analysis, keywords bursting analysis and timeline views.

    Results

    A total of 7 622 papers were finally included in the study, with a significant growth trend in the volume of publications starting from 2011, in which the United States contributed the most with a total of 2 645 (34.70%). The journals in which the papers were published were mainly in the fields of medicine, psychology and health; and the top five high-frequency keywords were chronic disease (711 times), nursing (695 times), management (544 times), intervention (502 times) and health (448 times). A total of 10 meaningful clusters were formed, which can be categorized into 4 dimensions of research tools, research theories and methods, research objects, and research factors; combining with keywords bursting and timeline view, the hot issues mainly focus on telemedicine, telecare, and digital health.

    Conclusion

    The international research fervor for the application of mHealth technology in chronic disease management has continued, and the field of research has shifted from medicine to health science, with the focus on intervention research on chronic diseases through mHealth technology and the use of digital technology to provide integrated telehealth services for chronic diseases. It is suggested that our scholars should pay attention to the application of mHealth and digital technologies in chronic disease management, find high-quality health services for patients with chronic diseases in China through intervention studies, and provide strategies and suggestions for the high-quality development of chronic disease services and management in China.

    Research Trends in Artificial Intelligence in Gastric Cancer Diagnosis and Treatment: a 20-year Bibliometric Analysis
    DONG Na, CUI Ting, WANG Lulu, SHI Ronghui, FENG Jie, HUANG Xiaojun
    2024, 27(04):  493-501.  DOI: 10.12114/j.issn.1007-9572.2022.0902
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    Background

    The number of researches on the application of artificial intelligence (AI) to diagnosis and treatment of gastric cancer has been increasing in recent years, but no researcher has systematically analyzed it using bibliometric analysis.

    Objective

    To analyze the researches on the application of AI to diagnosis and treatment of gastric cancer, explore the research hotspots and development trends from 2003 to 2022. Methods On November 06, 2022, Web of Science (WOS) core collection database was searched by computer to obtain studies on the application of AI to gastric cancer diagnosis and treatment, and VOSviewer 1.6.18 software was used to visualize and analyze inter-country (region), inter-institution, and inter-author collaborations, co-cited authors, keyword co-occurrences and overlays through bibliometric analysis. CiteSpace 5.7.R5 software was used to perform institutional betweenness centrality analysis, journal biplot overlay, cluster analysis of co-cited literature for the last 6 years, co-cited literature clustering timeline graph analysis and reference bursting analysis. Excel 2019 software was used to plot bar graphs of the volume of publications and descriptive analysis tables of countries (regions), institutions, journals, authors, cited references and keywords.

    Results

    A total of 703 papers were included, and the annual publication volume of the application of AI to gastric cancer diagnosis and treatment showed an overall increasing trend from 2003-2022, with a rapid increase after 2017 and the most rapid growth from 2019-2021. The top publishing country, institution and author was China, Chinese Academy of Sciences and TADA TOMOHIRO, respectively. The top three co-cited authors of BRAY FREDDIE, HIRASAWA TOSHIAKI and JIANG YUMING had made significant contributions to the field. Frontiers in Oncology was the journal with the highest publication volume, and Gastrointestinal Endoscopy was the most influential journal among the top ten journals for researches related to the application of AI to the diagnosis and treatment of gastric cancer. The citing journals mainly focused on the two fields of "Medicine, Medical, Clinical" and "Molecular, Biology, Immunology". And the cited journals mainly focused on the two fields of "Molecular, Biology, Genetics" and "Health, Nursing, Medicine". The top-ranked literature in terms of total citations titled Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. All keywords were classified into 4 categories based on keyword clustering results, including AI-assisted biological research of gastric cancer, AI-assisted endoscopic diagnosis of gastric cancer, AI-assisted pathological diagnosis of gastric cancer, and AI-assisted non-endoscopic treatment and prognosis prediction of gastric cancer. Deep learning, convolutional neural network, imaging histology, gastrointestinal endoscopy, pathology and immunotherapy were the current research hotspots.

    Conclusion

    AI has a broad application prospect in gastric cancer diagnosis and treatment, and more and more scholars are devoted to AI in gastric cancer diagnosis and treatment. Currently, AI has been widely studied in the biology, diagnosis, staging, efficacy assessment and prognosis prediction of gastric cancer. The results of this study can provide a reference for scholars engaged in research work related to AI and gastric cancer.

    Medical Humanities
    Study on Stroke-rehabilitative Families under Chronic Illness Narratives: a Field Study Based on Rehabilitation Hall of Traditional Chinese Medicine Hospital in T City, Hebei Province
    LIANG Tianyi, LIU Peng
    2024, 27(04):  502-508.  DOI: 10.12114/j.issn.1007-9572.2022.0373
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    Background

    There is a lack of research on rehabilitative families based on hospital field experiences in the context of stroke-exacerbated family and social burdens.

    Objective

    To analyze the socio-cultural atmospheres present in hospital rehabilitation halls in four narrative dimensions of patients, relatives, families, and medical providers.

    Methods

    The interviews were conducted with participants from the rehabilitation department of Traditional Chinese Medicine Hospital in T city between April and July 2021 to examine the socio-cultural atmospheres in the rehabilitation hall from four perspectives of patients' narratives, relatives' narratives, families' narratives, and doctors' narratives.

    Results

    Stroke survivors have enjoyed the positive experience of "post-traumatic growth" in individual and collective joint progress; relatives have spontaneously established a club culture during mutual communications and played the role of "doctor-patient bridge" in accompanying each other; stroke-rehabilitative families as a whole suffered from two tensions, including the external tension due to financial burden on the family, and the internal tension arising from the difficulties in mutual understanding between family members and patients. Doctors were able to be more rational with stroke-rehabilitative families. A comparison between doctor-patient and teacher-student relationships illustrated that doctors would play the role of teacher to some extent when dealing with patients.

    Conclusion

    As revealed in the analysis of the socio-cultural atmospheres in the rehabilitation hall, the prevention and treatment of stroke are facing two problems, including difficulty in implementing key effort of prevention and treatment in the primary level, and troubles in accessing medical care resources of some patients. Research on medical humanities, especially the research methodology of medical anthropology, is conducive to constructing a positive doctor-patient relationship.