The Awareness and Attitude of Contracted Service Among General Medical Practitioners in Community Health Service Centers in Urban China: A Cross-Sectional Study

Yin, Tao; Yin, Delu; He, Huijing; Zheng, Xiaoguo; Li, Ruili; Yang, Huimin; Wang, Lihong; Chen, Bowen

doi:10.3389/fpubh.2021.572311

Cited by 7 publications

(4 citation statements)

References 25 publications

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“…Li et al analyzed the influencing factors of patient satisfaction through a multiple logistic regression model ( 28 ). Zhou et al used a multi-level logistic regression method to test the associated factors of job satisfaction among medical personnel in 2018 ( 29 ). As one of the most widely used linear regression analysis models, the accuracy of the analysis results obtained by multiple regression models remains to be discussed due to the possible natural defects of collinearity sensitivity between independent variables.…”

Section: Introductionmentioning

confidence: 99%

Effective analysis of job satisfaction among medical staff in Chinese public hospitals: a random forest model

Li,

Meng

2024

Front. Public Health

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ObjectiveThis study explored the factors and influence degree of job satisfaction among medical staff in Chinese public hospitals by constructing the optimal discriminant model.MethodsThe participant sample is based on the service volume of 12,405 officially appointed medical staff from different departments of 16 public hospitals for three consecutive years from 2017 to 2019. All medical staff (doctors, nurses, administrative personnel) invited to participate in the survey for the current year will no longer repeat their participation. The importance of all associated factors and the optimal evaluation model has been calculated.ResultsThe overall job satisfaction of medical staff is 25.62%. The most important factors affecting medical staff satisfaction are: Value staff opinions (Q10), Get recognition for your work (Q11), Democracy (Q9), and Performance Evaluation Satisfaction (Q5). The random forest model is the best evaluation model for medical staff satisfaction, and its prediction accuracy is higher than other similar models.ConclusionThe improvement of medical staff job satisfaction is significantly related to the improvement of democracy, recognition of work, and increased employee performance. It has shown that improving these five key variables can maximize the job satisfaction and motivation of medical staff. The random forest model can maximize the accuracy and effectiveness of similar research.

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Section: Introductionmentioning

confidence: 99%

Effective analysis of job satisfaction among medical staff in Chinese public hospitals: a random forest model

Li,

Meng

2024

Front. Public Health

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“…Previous studies about FDCS in China mostly focused on the current status of FDCS,[ 19 20 ] residents’ awareness,[ 21 22 23 ] and the influencing factors of whether contract or not. [ 24 25 ] Due to the short period of time since the implementation of the FDCS system in China, the system is still in an early stage and its impact on primary health care is yet to be identified.…”

Section: Introductionmentioning

confidence: 99%

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

Wang,

Cheng,

2024

Journal of Family Medicine and Primary Care

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Introduction: 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. Methods: 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. Results: 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). Conclusion: 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.

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“…Our previous study, which was conducted among 286 primary healthcare providers in limited areas in China, has revealed a moderate prevalence (43.7%) of intention-to-leave. 13 However, more representative data covering a broad range of geographic areas and diverse study populations, especially those fight against COVID-19 pandemic in the primary healthcare settings, is urgently needed for policymakers to initiate targeted health enhancing strategies.…”

Section: Introductionmentioning

confidence: 99%

Occupational Risk Factors for Physical and Mental Health in Primary Healthcare Providers: A National Cross-Sectional Survey from 62 Urban Communities in China

Yin¹,

Lü²,

Xiong³

et al. 2023

JMDH

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Purpose To understand the physical and mental health status of primary healthcare providers (PHPs) including physicians, nurses and other staff and the workplace risk factors for depression, anxiety and intention-to-leave. Patients and Methods In December 2021, a national cross-sectional survey was conducted from 62 urban communities in China, and all PHPs were invited to complete a standardized questionnaire. Information on demographic, health-related lifestyle, cardiovascular risk factors and physical health status, occupational stress and intention-to-leave was collected. Depression and anxiety were assessed using the Zung Self-Rating Anxiety/Depression Scale (SAS/SDS). Results A total of 4901 PHPs were included. 67.0% males currently drank alcohol vs 25.3% in females; 36.0% males currently smoked cigarettes vs 1.4% in females. Notably, more than half males were overweight or obese, but this proportion was 24.2% in females. The prevalence of chronic diseases, including hypertension, diabetes, dyslipidemia, non-alcoholic fatty liver disease, gout, and disease clustering were higher in males than in females. The prevalence of depression and anxiety were high, 50% had depression, of whom 15.6% had moderate/severe depression. Over 15% participants had varied levels of anxiety, and approximately 4% had moderate/severe anxiety. PHPs who aged 18–29 (OR: 1.31, 95% CI: 1.05–1.64), were males (OR: 1.34, 95% CI: 1.14–1.57), with lower professional title (comparing with staff with senior title, the ORs of the intermedium, junior and none were 1.83, 2.18 and 2.49, respectively), took charge in nursing (OR: 1.41, 95% CI: 1.20–1.65), with higher perceived stress level (OR: 1.82, 95% CI: 1.41–2.34), and suffering from severe fatigue (OR: 2.55, 95% CI: 1.99–3.27) were more likely to have depression. Likewise, PHPs who were younger, with intermedium professional title, had higher perceived pressure level, and higher fatigue levels were more likely to have anxiety. Conclusion The mental health of PHPs is worrisome, with a high burden of chronic diseases and occupational risk factors. Younger PHPs, nurses, and those with higher levels of work pressure and fatigue are more vulnerable to psychological problems. The high prevalence of intention-to-leave calls for strategies that relieve the workplace stress and enhance the human resource capability.

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The Awareness and Attitude of Contracted Service Among General Medical Practitioners in Community Health Service Centers in Urban China: A Cross-Sectional Study

Cited by 7 publications

References 25 publications

Effective analysis of job satisfaction among medical staff in Chinese public hospitals: a random forest model

Effective analysis of job satisfaction among medical staff in Chinese public hospitals: a random forest model

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

Occupational Risk Factors for Physical and Mental Health in Primary Healthcare Providers: A National Cross-Sectional Survey from 62 Urban Communities in China

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