Family Doctor Contract Research Articles

Influencing factor analysis of family doctor contract service among older adults: evidence from China.

Family doctor contract services are essential to primary healthcare and play a significant role in improving the health of older adults. However, contract rates among older adults vary widely. Investigating the factors influencing contract rates is crucial for optimizing policies and increasing participation in family doctor services. This study used data from Wangying Community Health Service Center, encompassing 5,684 older adults in 2018. To address the endogeneity issue arising from sample selection bias, the study utilized a 1:1 nearest-neighbor matching method for counterfactual testing, balancing potential confounding factors between the contract and non-contract groups. Subsequently, multiple logistic regression analysis was performed on the matched data to explore the impact of gender, age, number of medical visits, and the number of chronic conditions on family doctor contract behavior. Gender did not significantly impact contracting behavior. However, age, the number of medical visits, and the number of chronic diseases significantly influenced family doctor contract (β = 0.457, p < 0.01; β = 0.286, p < 0.05; β = -0.229, p < 0.1). An inverted U-shaped relationship was found between age and contracting behavior (β = -0.003, p < 0.01). The factors influencing older residents' decisions to sign up for family doctor services are complex and diverse. The conclusion of the study provides valuable reference and guidance for policymakers to further improve the family doctor contracting system and optimize contracting strategies by considering the characteristics of different older adults.

The Influence Mechanism Analysis of Family Doctor Team Effectiveness: A Mixed-method Approach.

Team-based delivery of family doctor services is associated with improved patient experiences, better health outcomes, and more efficient healthcare utilization. Team effectiveness is related to the team's output, and family doctor team effectiveness (FDTE) directly impacts the quality and efficiency of contracted family doctor services. We aimed to explore the path and mechanisms influencing family doctor team effectiveness, propose strategies for improvement, and enhance both team effectiveness and service quality. The literature review, key informant interviews, expert consultation, and questionnaire survey was employed. The questionnaire, based on the IMOI model, was designed to measure family doctor team effectiveness (FDTE) and its influencing factors. Using stratified random sampling, we distributed the questionnaire to family doctors in both developed and underdeveloped areas of Zhejiang Province, China. We performed hierarchical linear regression analysis to examine the relationship between team effectiveness and influencing factors. Subsequently, we used structural equation modeling (SEM) to explore and validate the relationships and mechanisms of action among "team input factors", "member input factors", "team behavioral process", and "team emotional process" on team effectiveness. The questionnaire was divided into five main sections: 'team input factors', 'member input factors', 'team behavioral process', 'team emotional process', and 'team effectiveness', with 11 dimensions and 42 items. A total of 508 valid questionnaires were returned. The main factors influencing FDTE are team composition (β=-0.116, P<0.01), goals and systems (β=0.165, P<0.01), cooperative attitude (β=0.123, P<0.05), team behavioral process (β=0.161, P<0.001), and team emotional process (β=0.193, P<0.001). SEM analysis revealed that team input factors, member input factors, and team behavioral process had direct and indirect effects on team effectiveness, while team emotional process had a direct effect. It is recommended to optimize the basic inputs of family doctor teams, enhance the intrinsic motivation of team members, promote team interaction and cooperation, and foster a positive atmosphere for family doctor teamwork.

Promoting equality in utilization of basic public health services in China: the role of the family doctor contract service

Background The Family Doctor Contract Service (FDCS) system is a service model for primary care reform launched in 2016 to offer families and individuals active and continuous health care by a team of family doctors within primary care institutions in China. Objectives This study aimed to estimate socioeconomic-related inequalities in the utilization of basic public health services, and to identify the contribution of FDCS to promoting equality. Methods Data for the study were collected from a 2023 cross-sectional household health survey in western China, involving 39,456 participants. The concentration index (C) was employed for analyzing the extent of socioeconomic-related inequalities in the utilization of basic public health services and the coarsened exact matching technique was employed for sensitivity analysis in order to reduce selection bias. Results Our results indicated pro-poor inequalities in the utilization of health records (C = −0.046), free health check-ups (C = −0.009), and follow-ups for hypertension (C = −0.051). Additionally, a more equitable distribution across the economic spectrum was observed within the FDCS group (people who voluntarily contracted for services) compared to the non-FDCS group. The FDCS demonstrated more favorable positive impacts among individuals with higher (quintiles 60–80%) and the highest (top 20%) socioeconomic status. The FDCS contributed 83.94%, 59.24%, and 36.92% to pro-poor inequalities in the utilization of three basic public health services. These contributions reflected the positive impact of the FDCS on utilization. Conclusions Government policy and service delivery models require a paradigm shift to promote a stronger primary healthcare approach to practice, as evidenced by the effectiveness of the FDCS in promoting equality.

Impact of Family Doctor Contract Services on Preventable Hospitalizations Amongst Patients with Hypertension in Rural China: Mediating Role of Primary Healthcare Quality.

The objective of this study was to explore the connection between family doctor contract services and preventable hospitalizations. Additionally, we sought to examine the role of primary health care quality as a mediating factor in the link between family doctor contract services and preventable hospitalizations among patients with hypertension. This cross-sectional study was performed in Dangyang (Hubei Province, Central China) and Xishui (Guizhou Province, Western China) counties in July-August 2023. Participants comprised 625 patients selected via a multi-stage sampling method. Causal mediation analysis was conducted to explore the effect of family doctor contract services on preventable hospitalizations and the mediating effect of primary healthcare quality on this relationship. Utilization rate of family doctor contract services of hypertensive patients was 58.6%, score of primary health service quality was 70.75 and incidence of preventable hospitalizations was 28.2%. Amongst hypertensive patients, utilization of family doctor contract services decreased the occurrence of preventable hospitalizations, with a total effect of -0.22 (p < 0.001). Primary healthcare quality mediates the association, with a mediate effect of -0.05 (p < 0.001), explaining 22.73% of the total effect. Improving the utilization of family doctor contract services and primary healthcare quality may result in lower rates of preventable hospitalizations amongst hypertensive patients.

Community Health Centers' Responsiveness and Its Associated Factors Among Outpatients in Southeast China: A Cross-Sectional Study.

The responsiveness of community health centers can reflect the soft capacity of medical institutions and is related to the improvement of health outcome indicators. This study is aimed at assessing the level and distribution of community health centers' responsiveness and its associated factors among outpatients under the health-oriented integrated healthcare system in China. A total of 634 outpatients were recruited from six community health centers in Zhejiang Province, China, in July 2022. SPSS software was used to conduct the analysis (version 23.0). Health system responsiveness was used as a measure of outpatient responsiveness to health care services through a self-administered questionnaire. Determinants of community health centers' responsiveness were determined by using a multiple linear regression model at a p-value <0.05. The total score of community health centers responsiveness was 8.25±1.01, and the Gini coefficient is 0.027. Within these domains, social support and dignity received the highest scores, while choice of providers and autonomy scored the lowest. Age group between 60-74 years (β: 0.129; 95% CI: 0.042-0.529), ≥75 years (β: 0.095; 95% CI: 0.006-0.707), monthly income with 8000 RMB and above (β: 0.098; 95% CI: 0.035-0.653), having a family doctor (β: 0.124; 95% CI: 0.096-0.410), and satisficing with community health service (β: 0.298; 95% CI: 0.848-1.428) were significant predictors of community health centers' responsiveness. The Chinese community health centers show high responsiveness, indicating that the construction of a health-oriented integrated healthcare system has been effective. The family doctor contract service is important and should continually enhance both technical proficiency and health promotion capabilities. Encourage residents to actively participate in their treatment process is also essential.

The association between family doctor contract services and the health of middle-aged and older people in China: an instrumental variables analysis

Previous research on the association between Family Doctor Contract Services (FDCS) and health has only considered a single indicator of health and has not considered the endogeneity of independent variables. This study aimed to evaluate the association from a multidimensional perspective of the health of middle-aged and older people using the instrumental variables method and determine the underlying mechanisms. Using data from the 2018 China Health and Retirement Longitudinal Study surveys, a total of 19,438 sample was obtained. Health was measured by health related-quality of life (HR-QoL), subjective well-being, and cognitive function. The instrumental variables method was used to estimate the association. Mediation analysis was employed to analyze the underlying mechanisms. The results of the instrumental variables method showed a correlation between FDCS and health, such as HR-QoL (η = 33.714, p < 0.01), subjective well-being (η = 1.106, p < 0.05), and cognitive function (η = 4.133, p < 0.05). However, we found no evidence that FDCS improved physical health. We also identified reduced utilization of healthcare services and increased social activities as mediators of the effect of FDCS on health. The Chinese government should improve incentive-based initiatives to improve the quality of FDCS. Moreover, more attention needs to be paid to the multidimensional health of middle-aged and older people, especially vulnerable groups, such as older individuals and those in rural areas.

Study on the evaluation and influencing factors of contracted residents on the coordination of primary medical institutions.

The implementation of family doctor contract service is a pivotal measure to enhance primary medical services and execute the hierarchical diagnosis and treatment system. Achieving service coordination among various institutions is both a fundamental objective and a central element of contract services. The study aims to assess residents' evaluations and determining factors related to the coordination of health services within primary medical institutions across different regions of Shandong Province. The findings intend to serve as a reference for enhancing the coordination services offered by these institutions. The study employed a multi-stage stratified random sampling method to select three prefecture-level cities in Shandong Province with different economic levels. Within each city, three counties (districts) were randomly sampled using the same method. Within each county (district), three community health service centers and township health centers implementing family doctor contract services were selected randomly. Face-to-face questionnaire surveys were conducted with contracted residents using the coordination dimension of the revised Primary Care Assessment Tools Scale (PCAT) developed by the research team. Data analysis was conducted using such methods as one-way analysis of variance and multiple linear regression. The sample included 3,859 contracted residents. The coordination dimension score of primary medical institutions averaged 3.41 ± 0.18, with the referral service sub-dimension scoring 3.60 ± 0.58 and the information system sub-dimension scoring 3.34 ± 0.65. The overall score of the referral service sub-dimension surpassed that of the information system sub-dimension. Regression results indicated that the city's economic status, the type of contracted institutions, gender, education, marital status, income, occupation, health status, and endowment insurance payment status significantly influenced the coordinated service score of primary medical institutions (p < 0.05). The coordination of primary medical institutions in Shandong Province warrants further optimization. Continued efforts should focus on refining the referral system, expediting information infrastructure development, enhancing the service standards of primary medical institutions, and fostering resident trust. These measures aim to advance the implementation of the hierarchical diagnosis and treatment and two-way referral system.

Current situation of family doctor contracting program: A survey of the perspective of general practitioners

BackgroundResearch on family doctor contract services has predominantly focused on residents, with limited attention to the general practitioners (GPs) regarding the current situation of family doctor team contracting. ObjectiveThis study aims to assess the current status of family doctor contract services in primary health care facilities in Guangdong Province from the GPs' perspective and to identify factors influencing the number of people contracting with family doctor teams. MethodsA multi-stage stratified cluster sampling method was used to select GPs from primary health care facilities in Guangdong Province from July 5 to July 31, 2021. A self-developed survey questionnaire was used to collect data. The number of people contracted with family doctor teams under different characteristics of GPs and their teams was compared, and a two-level Logistic regression model was developed using R 4.2.2 software to determine the factors that influence whether enrollment numbers in family doctor teams exceed 2,000. ResultsA total of 3,252 valid responses were collected from family doctor teams with a contracting count above 100. In 2020, the median number of contracts per family doctor team, as reported by GPs, was 1,400(IQR = 2,499). Comparisons of the number of people contracted with family doctor teams among GPs of different genders, ages, educational levels, managerial positions, employment forms, years of professional experience, working facilities, practicing regions, training received, and annual income showed statistically significant differences (P < 0.05). Variables including the number of team members, the population under jurisdiction, the intention for specialist doctors within the health group to join the team, the availability of hospital beds, and guidance from higher-level hospitals also exhibited significant variations (P < 0.05). Zero model fitting results highlighted that the distribution of contracted individuals was regionally clustered among the practicing regions of GPs (P < 0.05). The comprehensive analysis using a two-level Logistic regression model revealed several key findings: GPs holding a college diploma [OR (95 %CI) = 2.79 (1.84, 3.74)] or a vocational school/high school certificate [OR (95 %CI) = 2.83 (1.80, 3.86)] were more likely to manage teams with over 2,000 contracted individuals, compared to those with a master's degree or higher. GPs in managerial positions were less likely [OR (95 %CI) = 0.66 (0.33, 0.99)] to oversee teams exceeding 2,000 contracted individuals, in contrast to those without any managerial role. Formal employment status was associated with a higher likelihood [OR (95 %CI) = 2.02 (1.53, 2.51)] of managing larger numbers of contracted individuals compared to temporary employment. Team size showed a positive correlation with contracting capacity; teams with 4–6 members [OR (95 %CI) = 1.31 (1.05, 1.57)], 7–10 members [OR (95 %CI) = 2.06 (1.75, 2.37)], 11–19 members [OR (95 %CI) = 3.67 (3.31, 4.03)], and ≥20 members [OR (95 %CI) = 3.46 (2.74, 4.18)] were increasingly likely to surpass 2,000 contracted individuals. Teams managing larger populations—2,001–9,999 [OR (95 %CI) = 2.37 (2.12, 2.62)], 10,000–29,999 [OR (95 %CI) = 2.92 (2.65, 3.19)], and ≥30,000 [OR (95 %CI) = 2.86 (2.55, 3.17)]—were more likely to exceed 2,000 contracts compared to those managing ≤2,000 people. The absence of hospital bed resources within a team was positively associated [OR (95 %CI) = 1.38 (1.14, 1.62)] with surpassing the 2,000 contracted individuals threshold. ConclusionThe study findings suggest that a larger family doctor team size and larger population size of jurisdiction positively impact the capacity for contracting with family doctor teams. GPs with higher educational levels, managerial roles, and access to hospital bed resources possess a more profound understanding and control over family doctor contract service policies, leading to optimized management of contracted individuals. Compared to their temporarily employed counterparts, formally employed GPs within family doctor teams are more likely to engage in contracting activities.

The analysis of disease spectrum of traditional Chinese medicine of outpatient visitor to the contracted family doctor in Shenzhen community health centers

BackgroundThe development plan of traditional Chinese medicine (TCM) has been integrated into the national development strategy, with a focus on significantly enhancing the TCM service capabilities of primary care facilities. However, researches on the disease spectrum of TCM diagnosis and treatment in community health centers is lacking. ObjectiveTo understand the TCM diagnosis and treatment capabilities of Shenzhen's community health centers by analyzing the disease spectrum of TCM diagnosis and treatment among outpatients signed with family doctors at these centers. MethodsFrom May to June 2022, records of family doctor-signed residents who visited the outpatient departments of community health centers in 10 districts of Shenzhen from January 1, 2021, to June 30, 2021, and incurred diagnosis and treatment costs were extracted from the “Hangchuang Community Health Service Center Business System,” a unified information platform of the Shenzhen Health Commission. Records for which TCM was the purpose for the visit, which had corresponding diagnosis and treatment costs, as well as a primary diagnosis coded according to the “Classification and codes of diseases and patterns of traditional Chinese medicine” (TCD) were included in the study (n=385,138). The disease spectrum was analyzed based on the TCD, mainly involving specialty category, sub-specialty system classification and TCM term of disease and pattern. ResultsAmong the 385,138 records included, there were 170,077 male visits (44.16 %) with an average age of 37.5 ± 8.2 years; and 215,061 female visits (55.84 %), with an average age of 36.7 ± 9.4 years. The disease spectrum covered all seven specialty categories of TCD: internal medicine (219,445, 56.98 %), pediatrics (79,201, 20.56 %), otorhinolaryngology (47,965, 12.45 %), gynecology (30,620, 7.95 %), surgery (5,797, 1.51 %), orthopedics (1,407, 0.37 %), and ophthalmology (703, 0.18 %). The spectrum covered all sub-specialty system classifications under the seven specialty categories except for tumor diseases, cancer diseases in each specialty category, and certain eye disease classes such as diseases of the canthus, diseases of the cornea, pupil diseases, and traumatic eye diseases. In each specialty category, several diseases accounted for ≥90.00 % of the total diagnostic and treatment volume for that specialty category. The top five system diseases were respiratory system diseases (208,701, 54.19 %), musculoskeletal system diseases (73,369, 19.05 %), gynecological system diseases (30,620, 7.95 %), cardiovascular and cerebrovascular system diseases (27,539, 7.15 %), and digestive system diseases (19,162, 4.98 %). Patients under 15 and those aged 15 to 24 primarily had diseases related to the respiratory system and digestive systems. As age increased, the number of patients with paralysis, dizziness, headache, insomnia, and fatigue gradually increased; before the age of 45, the leading disease was the common cold, and after 45, it was muscle and joint pain caused by paralysis. ConclusionThe TCM diagnosis and treatment disease spectrum at Shenzhen's community health centers is broad but concentrated and singular, predominantly involving internal medicine. The disease spectrum is mainly concentrated in five major systems: respiratory, musculoskeletal, gynecological, cardiovascular and cerebrovascular, and digestive systems. There is a need to further enhance and expand the TCM diagnosis and treatment capabilities of community health centers to better meet the diverse health needs of residents.

The impact of family doctor contract services on the utilization of and satisfaction with primary health care among Chinese residents: A cross-sectional study.

Family doctor contract service (FDCS) is a vital part of China's primary health care system. This study aims to explore whether contracting with FDCS affects residents' utilization of and satisfaction with primary health care. A structured questionnaire was employed to collect data in January 2022. The questionnaire mainly included the following three parts: the social-demographic characteristics, health-related information, and utilization of and satisfaction with primary health care. Propensity score matching (PSM) was used to adjust for social-demographic differences between participants who contracted with a family doctor and those who did not. For the matched population, we used the Chi-square test to examine the differences in the utilization of and satisfaction with primary health care between contracted and non-contracted participants. Moreover, multiple logistic regression and linear regression were used to explore the influencing factors of the utilization of and satisfaction with primary health care. A total of 10,850 people were investigated and 10,419 participants were incorporated into the data analysis. After matching, there were no significant differences in most of the matching variables between the contracted and non-contracted groups (P > 0.05). The utilization rate was significantly higher among the contracted population than of the non-contracted (96.3% vs 92.6%, P < 0.001). The quality of services (e.g., good service attitude, high medical level, and a trusted family doctor) was more likely to be cited as the main reasons for the contracted people to utilize primary health care than for the non-contracted. The contracted people were also significantly more satisfied than the non-contracted in all terms of satisfaction. Moreover, people who contracted with a family doctor were more likely to use primary health care with OR = 1.979 (95% CI, 1.511-2.593). The contracted people were more likely to utilize and be satisfied with primary health care than the non-contracted. In addition, the contracted people tended to use primary health care because of the quality of services rather than because of the close distance or short waiting time. Therefore, it is important to further promote the high quality of FDCS to ensure residents' sense of gain and improve their satisfaction.

Utilizing Group Model Building to Identify Barriers and Facilitators of Hypertension Management in Primary Health Care, China.

Group Model Building (GMB) is a qualitative method that refers to a participatory process. This project aims to identify barriers and facilitators of hypertension management in primary health care in China, through which, the leverage point for intervention may be found. The GMB was used to identify the factors influencing hypertension management. Graphs over time and causal loop diagram (CLD) were main tools of GMB. To propose the influencing factors, key stakeholders were invited to participate in a workshop. During the workshop, stakeholders were encouraged to plot the graphs over time of the variables about research issues and give a descriptive explanation. And based on this, a CLD was initially developed to establish a model of the interaction of factors. After the workshop, the research group further improved the CLD through repeated mutual discussions, and gave feedback to the participants. The Vensim PLE 9.0 software package was used to build CLD. A total of 14 key stakeholders were invited to participate in the workshop. Finally, 26 influencing factors were identified, which were divided into three dimensions, including the institutional, the community health workers (CHWs), and the patient level. And 5 reinforcing loops and 4 balancing loops were formed in the CLD. Promoting the building of the Medical Community/Regional Medical Association, implementing the family doctor contract service (FDCS), and enhancing the motivation of CHWs may be potential leverage points for hypertension management in China. By using GMB, we have identified key factors in the management of hypertension in primary health care and provided comprehensive suggestions to overcome the obstacles.

The impact of hypertension follow-up management on the choices of signing up family doctor contract services: does socioeconomic status matter?

BackgroundThis study aimed to explore the association between hypertension follow-up management and family doctor contract services, as well as to examine whether socioeconomic status (SES) had an interaction effect on this relationship among older adults in China.MethodsWe used data from the sixth National Health Service Survey of Shandong Province, China, including 3,112 older adults (age ≥ 60 years) with hypertension in 2018. Logistic regression models and a margins plot were used to analyze the role of SES in the relationship between hypertension follow-up management and family doctor contract services.ResultsThe regular hypertension follow-up management rate and family doctor contracting rate were 81.8% and 70.9%, respectively, among older adults with hypertension. We found that participants with regular hypertension follow-up management were more likely to sign family doctor contract services (OR=1.28, 95%CI: 1.04, 1.58, P=0.018). The interaction effect occurred in the groups who lived in rural areas (OR=1.55, 95%CI: 1.02, 2.35), with high education level (OR=0.53, 95%CI: 0.32, 0.88) and had high incomes (OR=0.53, 95%CI: 0.35, 0.81).ConclusionsOur findings suggested that regular hypertension follow-up management was associated with family doctor contract services and SES influenced this relationship. Primary health care should improve the contracting rate of family doctors by strengthening follow-up management of chronic diseases. Family doctors should focus on improving services quality and enriching the content of service packages especially for older adults with higher income and education level.

The association of family doctor contract service and patient trust in doctor: evidence from twenty-five village clinics of three counties in rural China

BackgroundChina is implementing the family doctor (FD) system to reform the primary healthcare (PHC). The family doctor contract service (FDCS) policy plays a crucial role in this system implementation, aiming to transform the doctor-patient relationship and enhance PHC quality. This study aims to investigate the impact of FDCS on the doctor-patient relationship in PHCs using field research methodology.MethodThe field research methodology was employed to address the research questions. Quantitative methods were utilized for data collection and analysis. A structure questionnaire was used to collect data based on the research questions. Our investigation encompassed twenty-five village clinics across three counties in China. A total of 574 subjects helped us to finish this investigation in the study. The collected data was analyzed using statistical analysis including ordinary least squares (OLS) model and propensity scores matching model (PSM) to estimate the relationship.ResultThe findings from ordinary least squares (OLS) regression revealed that FDCS had a positive influence on patient trust in doctors within PHCs, with patients who participated the FDCS exhibiting higher levels of trust compared to those who did not participate. Propensity score matching (PSM) analysis further confirmed these results by accounting for selection bias.ConclusionsThe implementation of family doctor contract service has brought about significant transformation in the doctor-patient relationship within rural Chinese PHCs. In essence, it has revolutionized the service model of doctor in PHC, playing a pivotal role in improving primary health quality and enhance the service capability of doctors in PHC. This transformative process has been crucial for carrying out hierarchical diagnosis and treatment policy, which aims to adjust the medical service structure and optimizing the health service system. Therefore, it is imperative for government authorities and health administration departments to ensure continuous support for this essential service through appropriate formulation.

A spatial feature analysis of primary health care utilization in a large city in China and its implications for family doctor contract service policy

BackgroundFamily doctor contract policy is now run by the State Council as an important move to promote the hierarchical medical system. Whether the family doctor contract policy achieves the initial government’s goal should be measured further from the perspective of patient visits between hospitals and community health centers, which are regarded as grass medical agencies.MethodsThe spatial feature measurement method is applied with ArcGIS 10.2 software to analyze the spatial aggregation effect of patient visits to hospitals or community health centers among 20 districts of one large city in China and analyze the family doctor contract policy published in those areas to compare the influence of visit tendencies.ResultsFrom year 2016-2020, visits to hospitals were in the high-high cluster, and the density was spatially overflow, while there was no such tendency in visits to community health centers. The analysis of different family doctor contract policy implementation times in 20 districts reflects that the family doctor contract policy has a very limited effect on the promotion of the hierarchical medical system, and the innovation of the family doctor contract policy needs to be considered.ConclusionsA brief summary and potential implications.A multi-integrated medical system along with family doctor contract policy needs to be established, especially integrated in leadership and governance, financing, workforce, and service delivery between hospitals and community health centers, to promote the hierarchical medical system.

家庭医生签约服务模式在农村老年高血压患者中的研究进展

家庭医生签约服务模式在农村老年高血压患者中的研究进展

Primary health care team faultlines and team performance: the mediating role of knowledge sharing.

Family doctor teams, serving as health gatekeepers, are extensively advocated in China. Their composition, comprising a heterogeneous mix of professionals, contributes to a more comprehensive service, but also poses challenges. Consequently, scholarly interest has arisen in comprehending how these compositions, known as faultlines, influence team dynamics and outcomes. However, there is a lack of comprehensive exploration into how faultlines influence team members' communication processes and knowledge sharing. This study aims to provide insights into the associations between faultlines in primary care teams and team performance, specifically exploring how knowledge sharing may mediate these effects, with the goal of revealing key insights to optimize contracted family doctor services. Survey data from 291 family doctor teams in China was utilized to test hypotheses, revealing a negative association between (social-category and information-based) faultlines and knowledge sharing. Team knowledge sharing acts as a mediator in the relationship between these faultlines and team performance. Our findings advance faultlines theory and emphasize the mediating role of knowledge sharing in elucidating the interplay between faultlines and team performance. These insights are crucial for fostering collaboration, managing faultlines, and enhancing healthcare team performance.

Survey on the Current Situation and Problems of Contracted Family Doctor Services for the Elderly—Taking D Community Health Service Center of Xinghualing District, Taiyuan City as an Example

Survey on the Current Situation and Problems of Contracted Family Doctor Services for the Elderly—Taking D Community Health Service Center of Xinghualing District, Taiyuan City as an Example

Willingness to maintain contracts with family doctors among Chinese residents: results from one national cross-sectional study and a meta-analysis of 25 studies.

A number of studies have investigated the influencing factors regarding the renewal of contracts associated with Family Doctor Contract Services (FDCS) in different regions of China since it was officially implemented in 2009; however, none of the previous studies have been considered using a nationally representative sample in combination with a meta-analysis. A multistage stratified sampling method was used to investigate participants' socio-demographic characteristics, health status, understanding, use, and evaluation of the FDCS, and their willingness to renew contracts in Eastern, Central, and Western China from September to November 2021. We searched the PubMed, Ovid Medline, CNKI, VIP, Wanfang, and SinoMed databases to retrieve previous studies related to the willingness of Chinese residents to renew contracts with their family doctor (FD), and a meta-analysis was performed to systematically summarize the willingness to maintain contracts and influencing factors. Among 2,394 residents, 2,122 (88.64%) were willing to renew their contracts. The mixed-effect logistic regression model results demonstrated that residents who (1) preferred primary health service institutions, (2) had a better knowledge of FDCS, (3) were more willing to visit primary health service after signing the contract with FDs, (4) were not intending to change FDs, (5) were satisfied with FDCS, and (6) trusted in FDs reported a higher level of willingness to maintain contracts with FDs. Our meta-analysis confirmed that older age, being married, having chronic diseases, choosing primary medical institutions for the first contact, having a good knowledge of FDCS/FDs, being satisfied with FDCS and the medical skills of FDs, and trusting FDs were all positively associated with residents' willingness to renew contracts (p < 0.05). The willingness of consumers to maintain contracts with FDs in China varies in different areas. Giving priority services to groups of high need contributed to an improved rate of renewal. We suggest that in order to continue to increase annual contract renewal, it is necessary to strengthen consumer awareness through effective marketing and continue to work toward meeting consumer expectations, thereby increasing confidence and trust in FDCS.

Choices of medical institutions and associated factors in older patients with multimorbidity in stabilization period in China: A study based on logistic regression and decision tree model

AbstractBackgroundAs China's population ages, its disease spectrum is changing, and the coexistence of multiple chronic diseases has become the norm with respect to the health status of its elderly population. However, the health institution choices of older patients with multimorbidity in stabilization period remains underresearched. This study investigate the factors influencing the choices of older patients with multimorbidity to provide references for the rational allocation of healthcare resources.MethodsA multistage, stratified, whole‐group random‐sampling method was used to select eligible older patients from September to December of 2022 who attended the Community Health Service Center of Guangdong Province. We adopted a self‐designed questionnaire to collect patients' general, disease‐related, social‐support information, their intention to choose a healthcare provider. A binary logistic regression and decision tree model based on the Chi‐squared automatic interaction detector algorithm were implemented to analyze the associated factors involved.ResultsA total of 998 patients in stabilization period were included in the study, of which 593 (59.42%) chose hospital and 405 (40.58%) chose primary care. Our binary logistic regression results revealed that age, sex, individual average annual income, educational level, self‐reported health status, activities of daily living, alcohol consumption, family doctor contracting, and family supervision of medication or exercise were the principal factors influencing the choice of medical institutions for older patients with multimorbidity (p &lt; 0.05). The decision‐tree model reflected three levels and 11 nodes, and we screened a total of four influencing factors: activities of daily living, age, a family doctor contract, and patient sex. The data showed that the logistic regression model possessed an accuracy of 72.9% and that the decision tree model exhibited an accuracy of 68.7%. Prediction using the binary logistic regression was thus statistically superior to the categorical decision‐tree model based on the Chi‐squared automatic interaction detector algorithm (Z = 3.238, p = 0.001).ConclusionMore than half of older patients with multimorbidity in stabilization period chose hospitals for healthcare. Efforts should be made to improve the quality of healthcare services and increase the medical contracting rate and recognition of family doctors so as to attract older patients with multimorbidity to primary medical institutions.

Study on the determinants of health professionals’ performance on diabetes management care in China

BackgroundAs the direct providers of diabetes management care in primary health care facilities (PHFs) in China, health professionals’ performance on management care of diabetes determines the quality of services and patients’ outcomes. This study aims to analyze the key determinants of health professionals’ performance on diabetes management care in PHFs in China.MethodsWe conducted a cross-sectional study in 72 PHFs in 6 cities that piloted the contracted family doctor service (CFDS). Self-developed questionnaire was used to measure three kinds of factors (capacity, motivation and opportunity) potentially influencing the performance of health professionals. The performance of diabetes management care in the study was measured as whether health professionals delivered 7 service items required by the National Basic Public Health Service Guideline with a total of 7 points and was divided into three grades of good, medium and bad. The questionnaire is self-administered by all the health professionals involved in the study with the number of 434. The Chi-square tests were used to compare differences of performance on diabetes management care among health professionals with different characteristics. The ordinal logistic regression was used to analyze the determinants on the performance of diabetes management care.ResultsHealth professionals who got higher score on diabetes knowledge test had odds of better performance on diabetes management care (OR = 1.529, P < 0.001). health professionals with higher degree of self-reported satisfaction on training (OR = 1.224, P < 0.05) and perception of decreasing workload (OR = 3.336, P < 0.01) had odds of better performance on diabetes management care. While health professionals with negative feeling on information system support had odds of worse performance on diabetes management care (OR = 0.664, P < 0.01).ConclusionsAttention should be paid to the training of health professionals’ knowledge on diabetes management capacity. Furthermore, measures to improve training for health professionals could satisfying their needs for self-growth and improve the motivation of health professionals. The information system supporting management care should be improved continuously to improve the health professionals’ working opportunities and decrease the workload.