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Objective:To identify the influencing factors for community elderly health services provided by general practitioners (GPs) using the social ecological theory, for reference in improving their participation and satisfaction.Methods:According to the social ecological theory, an ecological model for GPs to carry out community elderly health services was constructed from four levels: public policy ecology, community health service ecology, interpersonal relationship ecology, and individual characteristics ecology of general practitioners. A survey questionnaire was designed with six latent variables: public health policy support, public health service and basic medical service supply, doctor-patient relationship, individual participation and individual satisfaction. The questionnaire was distributed to 220 GPs from 11 primary healthcare institutions in Jiangsu province, China, who were randomly selected between October and November 2021. Exploratory and confirmatory analyses of the model were conducted using AMOS 25.0.Results:A total of 207 valid questionnaires were collected, and all the KMO values of the six latent variables were greater than 0.7, while the composite reliability values and average variance extracted values greater than 0.7 and 0.5, respectively. Both the reliability and validity of the data met the analysis requirements. Exploratory analysis revealed that public health policy support had a direct positive effect on both public health service and basic medical service supply (both effect sizes being 0.37). Public health service had a direct positive effect on doctor-patient relationship, individual participation and individual satisfaction (effect sizes being 0.52, 0.22, and 0.31, respectively). The direct effect of basic medical service supply on doctor-patient relationship was not significant (effect size being 0.03), but it had a direct positive effect on public health service (effect size being 0.46). Doctor-patient relationship had a direct positive effect on individual participation (effect size being 0.51), but its direct effect on individual satisfaction was not significant (effect size being 0.06). Individual participation had a direct positive effect on individual satisfaction (effect size being 0.52). Conclusions:By optimizing the public policy ecosystem, community health service ecosystem, and interpersonal relationship ecosystem, the participation and satisfaction of general practitioners can be systematically improved.
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OBJECTIVES@#Acute ischemic stroke (AIS) is one of the main causes of disability in middle-aged and elderly people, and early activity plays an important role in functional recovery. This study aims to understand the factors that affect the implementation of early activity in patients with AIS and to provide reference for promoting early activity implementation and developing intervention strategies for AIS patients.@*METHODS@#Using purposive sampling, 19 AIS patients and their caregivers who visited at Stroke Center in the Third Xiangya Hospital of Central South University and the Third Hospital of Changsha from June to December 2021, as well as 19 medical staff, hospital administrators, or community workers providing medical health services to stroke patients, were selected as interviewes. A semi-structured interview was conducted based on the social ecological theory model, and the Colaizzi seven-step method was used to analyze the interview data.@*RESULTS@#According to qualitative interview results, the factors affecting early activity in AIS patients were summarized into 4 themes and 12 sub-themes: medical staff factors (insufficient knowledge and skills, insufficient knowledge of early activity, unclear division of responsibilities), patient factors (severity of the disease, lack of knowledge, psychological pressure, fear of falling), social environmental factors (lack of social support, shortage of human resources and rehabilitation equipment, insufficient medical insurance support), and evidence and norms (the evidence for early activity needs improvement, lack of standardized early activity procedures).@*CONCLUSIONS@#Early activity in AIS patients is impacted by factors at multiple levels, including medical staff, patients, social environment, and evidence and norms. Developing comprehensive intervention strategies to address these factors can promote early activity implementation in AIS patients.