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BackgroundFamily practice and family doctors are critical part of China’s primary healthcare delivery in a constantly evolving society. As the first point of contact with the medical system, family practices require physically and psychologically sound and a well-motivated family doctors at all times. This is because an error can lead to loss of lives as gatekeepers of the medical system. Our study explored the extent to which positive psychological capital promotes higher performance among family doctors.MethodsA questionnaire was used to collect data from family doctors in Shanghai, Nanjing, and Beijing. We applied a structural equation analysis to analyze the causal relationship among the variables.ResultsWe found out that psychological well-being and job involvement significantly influences the performance of family doctors in China. The study also noted that psychological capital moderates the relationship between psychological well-being attainment, job involvement, and performance.ConclusionsStudies have shown that these pressures affect their well-being considerably. For this reason, a healthcare professional who experiences positive emotions affects the total behavior which culminates into performance.

The maternity insurance fund in some provinces in China has accumulated unprecedented deficit levels. This imminent depletion can cause a catastrophic health crisis for maternal health. This study analyzed the post-policy impact of key factors on maternity insurance income inflow and outflow in Jiangsu Province and Guangxi Zhuang Autonomous Region (AR). We applied Pasera’s ARLD model and VECM Granger Causality Test to establish long- and short-term impact of selected factors that determines the income and expenditure of the maternity insurance fund in the two regions based on data from 2011 to 2019. Our results show that the addition of new births due to the universal two-child policy has increased the per capita utilization of the maternity insurance fund in both areas. We further observed that the impact of the maternity insurance contribution rate to the maternity insurance fund decays with time giving a long-run limited impact in both provinces. Thus the positive impact is stronger in the short term, but in the long term, its influence or contribution to stability of the funds reduces. The positive impact of interest from investment in the maternity insurance fund is however insignificant in both provinces, giving a major cause for concern on its role in maternity insurance fund income generation. In the short term, the contribution rate of the maternity insurance fund must be adjusted upward or the payment base expanded to receive additional contribution from all employees to avoid complete depletion of the fund. In the long term, we recommend the need to replenish the maternity insurance funds through proper investment options for the funds. We further recommend the need to look for other sources of funding social interventions based on existing practices in other countries.

Background: Global health crisis continues to drive the dynamics of corporate social responsibility (CSR) across industries with self-perpetuating momentum. From a historical point of view, more than a century of immense corporate fecundity has formed the ecological conditions and shaped current understanding of the effect of public health on CSR. This study sought to examine the extent to which companies are able to balance their business interest with social interest through health-related CSR and how knowledge of them can help explain the potential impact of COVID-19. Method: This study employs a narrative review of current literature; however, the integrative strategy was combined with the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) checklist to rigorously select the necessary articles for proper integrative synthesis. Results: We note that in the pursuit of their social responsibility, corporate enterprises struggle to balance the interest of society and their own interest. Genuine CSR activities such as donations are often undermined by unbridled and excessive desire to draw society on themselves to reap economic benefits are largely dominated by the need to advance. There are signals that enterprises might see COVID-19-related CSR as an entry door to increase corporate influence thereby commercializing the pandemic. Conclusions: The impact of COVID-19 on CSR is epochal. There is a moral obligation for enterprises to reform current risk assessments and collaborate more deeply with state agencies to invest in the health and safety inspections at the world place. CSR strategies must be proactive to endure other unknown pandemics with equal capacity to disrupt business operations. Companies must create innovative and regular activities to educate its stakeholders to become more committed to safeguarding future enterprise-based defense mechanism needed to diagnose, protect, treat, and rehabilitate victims and those threatened by pandemics and other emergencies that affect the stability of an organization to reduce its cost and protect revenue.

Background The family doctors’ contract service problem is not about government management alone, but an interaction of a complex social environment. Consequently, the effect of contracted services of family doctors not only depends on policy incentives but also needs to win the participation, acknowledgement, and confidence of community residents. The purpose of this integrative review is to examine whether there is any significant evidence that social capital in the form of social networking groups and other forms of social groups have any positive impact on the acceptance and the effectiveness of family doctors' contractual services. Method Research on qualitative, quantitative and hybrid methods published in peer-reviewed journals on the social capital role in the process of contract service of family doctors were eligible for inclusion. In view of the increasing attention paid to the contract service effect of family doctors during this period, a 10-year time scale was selected to ensure full coverage of relevant literature in the same period. In total, 809 articles were determined in the database retrieval results which were downloaded and transferred to the Mendeley reference application software. Results Twelve articles met the inclusion criteria for this integrative review and the quality of the included studies were assessed using the published criteria for the critical appraisal of quantitative and qualitative research methods. Majority of the articles assessed reported that there was evidence of a positive link between social support, especially a sense of belonging and the presence of regular family doctors. The influencing factors of patients' contract behavior of studies conducted in China were social interaction of social capital, acceptance of the first contact in the community, year of investigation, and exposure to the public. Conclusion The study affirms previous studies that suggest that social resources have the propensity to improve relationship between patients and clients and between doctors and peers for the benefit of the patients and the stability of the overall healthcare system. Through the integration of various social resources family doctor systems accelerate the development of community construction. These social capital (social network groups) can guide residents to use family doctor services to maintain health. Social capital can also help residents have a regular and reliable family doctor.

BackgroundEmerging countries continue to suffer gravely from insufficient healthcare funding, which adversely affects access to quality healthcare and ultimately the health status of citizens. By using panel data from the World Development Indicators, the study examined the determinants of health care expenditure among twenty-two (22) emerging countries from the year 2000 to 2018.MethodsThe study employed cross-section dependence and homogeneity tests to confirm cross-sectional dependence and to deal with homogeneity issues. The Quantile regression technique is employed to test for the relationship between private and public health care expenses and its determinants. The Pooled mean group causality test is used to examine the causal connections among the variables.ResultsThe outcome of the quantile regression test revealed that economic growth and aging population could induce healthcare costs in emerging countries. However, the impact of industrialization, agricultural activities, and technological advancement on health expenses are found to be noticeably heterogeneous at the various quantile levels. Unidirectional causality was found between industrialization and public health expenses; whereas two-way causal influence was reveled amongst public health expenditure and GDP per capita; public health expenditure and agricultural activities.ConclusionIt is therefore suggested that effective and integrated strategies should be considered by industries and agricultural sectors to help reduce preventable diseases that will ultimately reduce healthcare costs among the emerging countries.

Background Hospital electronic information management systems (HEIMS) are widely used in Ghana, and hence its performance must be carefully assessed. Nurses as clinical health personnel are the largest cluster of hospital staff and are the pillar of healthcare delivery. Therefore, they play a crucial role in the adoption and assessment of HEIMSs in Ghana. This report sought to assess the “Social Influence” (SI) and “Facilitating Conditions” (FC) that support Nurses’ Acceptance of HEIMS in Ghana using the “Unified Theory of Acceptance and Use of Technology” (UTAUT) model. Methods This study applied a non-experimental survey design. An electronic platform questionnaire on smartphones was used to collect data on 660 nurses. Statistically, AMOS Structural Equation Modelling (SEM) version 22.0 was employed to examine the research model. Results “Behavioral Intention” (BI) to HEIMS use was significantly predicted by SI and FC (p 2 = 43.2) and BI (R2 = 0.39.6) with both constructs explaining a total of 51.7% of the variance in nurses’ acceptance to use HEIMS. Conclusion Nurses’ adoption of HEIMS in terms of the UB was influenced by SI and BI, whiles SI and FC had the strongest influence on BI (serving as mediator) of UB to adopt and use HEIMS among the nurses in Ghanaian hospitals.

This study aims to examine the impact of China's population policy changes on social insurance. Nearly 4 decades ago, China ushered in the 1-child policy as a family planning policy to control the adverse effect of high population growth. The current maternity insurance system in China is designed to fit the operations of the 1-child policy. However, the implementation of the comprehensive 2-child policy can pose a challenge to the sustainability of the current maternity insurance scheme hence the call for reform. The study empanels a novel and comprehensive system dynamic model that incorporates all the related factors that influence the income and expenditure of maternity insurance in the Jiangsu Province. Data are mainly derived from the historical data of the Statistical Yearbook of Jiangsu Province and the National Bureau of Statistics of China. These are used to construct and simulate a system dynamic model to determine a sustainable contribution rate for maternity insurance. In conclusion, if the rate of contribution of the current maternity insurance policy is not increased, the burden of implementing the comprehensive 2-child policy will exacerbate the current deficit balance of the maternity insurance fund. The existing maternity insurance benefits thus cannot be maintained, and women's health will be threatened. In the short term, the study proposes an increase in the rate of premium payment to prolong the life of the maternity insurance. In the long term, there is a need to improve the level of coordination and expand the coverage of maternity insurance.

Background While the demand for health services keep escalating at the grass roots or rural areas of China, a substantial portion of healthcare resources remain stagnant in the more developed cities and this has entrenched health inequity in many parts of China. At its conception, China’s Deepen Medical Reform started in 2012 was intended to flush out possible disparities and promote a more equitable and efficient distribution of healthcare resources. Nearly half a decade of this reform, there are uncertainties as to whether the attainment of the objectives of the reform is in sight. Methods Using a hybrid of panel data analysis and an augmented data envelopment analysis (DEA), we model human resources, material, finance to determine their technical and scale efficiency to comprehensively evaluate the transverse and longitudinal allocation efficiency of community health resources in Jiangsu Province. Results We observed that the Deepen Medical Reform in China has led to an increase concern to ensure efficient allocation of community health resources by health policy makers in the province. This has led to greater efficiency in health resource allocation in Jiangsu in general but serious regional or municipal disparities still exist. Using the DEA model, we note that the output from the Community Health Centers does not commensurate with the substantial resources (human resources, materials, and financial) invested in them. We further observe that the case is worst in less-developed Northern parts of Jiangsu Province. Conclusions The government of Jiangsu Province could improve the efficiency of health resource allocation by improving the community health service system, rationalizing the allocation of health personnel, optimizing the allocation of material resources, and enhancing the level of health of financial resource allocation.

Background Medical care facilities in both developed and developing countries around the world continue to invest in hospital information technologies (HITs). Nevertheless, it has been discovered that user acceptance of these technologies is one of the imperative issues during their implementation and management in developing countries such as Ghana. Purpose Notably, the technology acceptance assessment of nurses is a timely one since they play a very important role in the medical sector. Based on the model of “Unified Theory of Acceptance and Use of Technology,” this study explored the factors that affect Ghanaian nurses’ acceptance of HIT. Design/Method/Approach: A descriptive nonexperimental research design was employed in this study to recruit 660 nurses (404 females and 256 males) from 3 teaching and 2 regional hospitals in Ghana. A standardized electronic platform questionnaire (based on the Unified Theory of Acceptance and Use of Technology model) was designed on smartphones and was self-administered, while the data collected were analyzed via the SmartPLS Structural Equation Modeling path analysis. The “Social Influence” ( t = 3.656, p 2 = 0.607) of the variance in the nurses’ intentions to use the HIT systems. Conclusions Precisely, HIT systems are essential in the quality and the enhancement of nursing services provision and in the effectiveness of the performance of nursing staff. This study, therefore, offers a piece of empirical evidence for hospital administrators in developing countries especially Ghana, to assess the success probability of new HITs before and after their implementation.

Background While the demand for the health service keeps escalating at the grass root or rural areas of China, a substantial portion of healthcare resources remains stagnant in the more developed cities and this has entrenched health inequity in many parts of China. At its conception, the Deepening Health Care Reform in 2012 China was intended to flush out these discrepancies and promote a more equitable and efficient distribution of health resources. Nearly half a decade of this reform, there are uncertainties as to whether the attainment of the objectives of the reform is in sight. Methods We divided Jiangsu Province into 3 zones according to the level of economic and social development i.e. developed, developing, and undeveloped areas. Using a hybrid of Panel data analysis and an augmented Data Envelopment Analysis (DEA), we model human resources, capital inputs of Community Health Centers to comprehensively determine the technical and scale efficiency of community health resources in 3 zones in Jiangsu Province. Results We sampled data and analysed efficiency and productivity growth of 75 Community Health Centers in 13 cities of Jiangsu Province from 2011 to 2015, which shows that a significant productive growth among Community Health Centers between 2011 and 2015. Mirroring the behavior of Community Health Centers, technological progress was the underlying force for the growth and the deterioration in efficiency change was found. This can be credited partly to the Deepening Health Care Reform measures aimed at improving technology availability in health centers in sub-urban areas. The regional summary of the DEA result shows that the stage of economic development and the efficiency performance of hospital did not necessarily go hand in hand among the 3 zones of Jiangsu. Conclusions The government of China in general and Jiangsu province in particular could improve the efficiency of health resources allocation by improving the community health service system, rationalizing the allocation of health personnel, optimizing the allocation of material resources and enhancing the level of health of financial resources allocation.

Early accounts of the development of modern medicine suggest that the clinical skills, scientific competence, and doctors’ judgment were the main impetus for treatment decision, diagnosis, prognosis, therapy assessment, and medical progress. Yet, clinician judgment has its own critics and is sometimes harshly described as notoriously fallacious and an irrational and unfathomable black box with little transparency. With the rise of contemporary medical research, the reputation of clinician judgment has undergone significant reformation in the last century as its fallacious aspects are increasingly emphasized relative to the evidence based options. Within the last decade, however, medical forecasting literature has seen tremendous change and new understanding is emerging on best ways of sharing medical information to complement the evidence based medicine practices. This review revisits and highlights the core debate on clinical judgments and its interrelations with evidence based medicine. It outlines the key empirical results of clinician judgments relative to evidence based models and identifies its key strengths and prospects, the key limitations and conditions for the effective use of clinician judgment, and the extent to which it can be optimized and professionalized for medical use.