Does Social Medical Insurance Achieve a Poverty Reduction Effect in China?

This paper aims to explore the impact of social medical insurance (SMI) on poverty reduction (PR) in China. Considering the time-varying characteristics of factors, this paper uses the bootstrap Granger full sample causality and subsample rolling window model to find the relationship between SMI and PR. The results highlight that in some periods, there is a bidirectional causal link between SMI and PR. Influenced by the medical insurance reform and medication measures. Social medical insurance does not have a positive impact on poverty reduction in some periods. These results are supported by the Utility Maximization Model of Insurance Consumption, which highlights that individuals make utility maximization choices when choosing insurance. The effect of medical insurance on poverty alleviation depends on whether an individual's investment in medical insurance can maximize its utility. If the proportion of social medical insurance reimbursement is too low, individuals will give up buying social medical insurance. Thus, the anti-poverty effect of social medical insurance is difficult to achieve. Therefore, authorities need to pay attention to specific contexts and social medical insurance policies and further improve the social medical insurance system to promote the realization of the anti-poverty of social medical insurance.

Transitional and Long-Term Care System in Japan and Current Challenges for Stroke Patient Rehabilitation

In Japan, the national medical insurance system and long-term care insurance (LTCI) system cover rehabilitation therapy for patients with acute, convalescent, and chronic stroke. Medical insurance covers early and multidisciplinary rehabilitation therapy during acute phase hospitalizations. Patients requiring assistance in their activities of daily living (ADL) after hospitalization are transferred to kaifukuki (convalescent) rehabilitation wards (KRW), which the medical insurance system has also covered. In these wards, patients can receive intensive and multidisciplinary rehabilitation therapy to improve their ADL and transition to a smooth home discharge. After discharge from these hospitals, elderly patients with stroke can receive outpatient (day-care) rehabilitation and home-based rehabilitation using the LTCI system. The Japanese government has proposed building a community-based integrated care system by 2025 to provide comprehensive medical services, long-term care, preventive care, housing, and livelihood support for patients. This policy aims to promote smooth coordination between medical insurance services and LTCI providers. Accordingly, the medical insurance system allows hospitals to receive additional fees by providing patient information to rehabilitation service providers in the LTCI system. A comprehensive database on acute, convalescent, and chronic phase stroke patients and seamless cooperation between the medical care system and LTCI system is expected to be established in the future. There are only 2,613 board-certified physiatrists in Japan, and many medical schools lack a department for rehabilitation medicine; establishing such a department at each school is encouraged to teach students efficient medical care procedures, to conduct research, and to facilitate the training of personnel in comprehensive stroke rehabilitation.

Does Social Insurance Block the Inter-Generational Transmission of Poverty? Evidence from the 2018 China Family Panel Survey

In this research, we explored whether participation in pension insurance and medical insurance for children and fathers blocks the inter-generational transmission of poverty. Using data from the China Family Panel Survey of 2018, this paper took the average level of insurance participation of a sample group as an instrumental variable, applied the IV-probit model, and found that the participation of children in pension insurance and the participation of fathers in medical insurance significantly reduce the probability of the inter-generational transmission of poverty, but that the participation of children in medical insurance and the participation of fathers in pension insurance increase it. These results were robust. Furthermore, there was heterogeneity in household registration, geographical location, and marriage with regard to the impact of social insurance participation on the inter-generational transmission of poverty. These results could help the formulation of anti-poverty policies to address the inter-generational transmission of poverty.

Application of Smart Healthcare in LTCI, Outpatient Mutual-Aid Guarantee Mechanism, and Sustainability of Medical Insurance Fund for Urban Employees

With the aggravation of population aging and the increase of life expectancy, long-term care insurance (LTCI) system has been established to meet the medical and long-term care needs of the increasing elderly population. In China, LTCI system is currently not a stand-alone insurance, but it is attached to the national basic medical insurance fund for urban employees (MIUE). As a result, the expenditure of LTCI is a part of the expenditure of the MIUE, which has an impact on the sustainability of the MIUE. By modeling the income and expenditure of MIUE, especially including the expenditure of LTCI, this study optimized an LTCI system with a higher individual out-of-pocket payment ratio of LTCI and implementation of the outpatient mutual-aid guarantee mechanism (OMAGM), which could improve the sustainability of the MIUE. The study also reveals the following: (i) solely increasing individual out-of-pocket payment ratio of LTCI to 20%–50% can only postpone the deficit on Social Pooling Accounts (SPAs) by 1 or 2 years, and the effect is very limited. (ii) Besides a higher individual out-of-pocket payment ratio, further implementation of a partial OMAGM from 2022 will postpone the deficit on SPAs by 7–9 years, and the implementation of a complete OMAGM from 2022 will postpone the deficit by 14–18 years. Accordingly, China should implement OMAGM as soon as possible to enhance the solvency of MIUE fund, and, in the long run, an independent LTCI scheme should be established to ensure the stability and sustainability of the LTCI fund and the MIUE fund.

An Exploratory Study on Personal Finance in the Context of COVID-19

The world is currently experiencing a dramatic crisis that has not yet reached bottom. In Mexico, in the second quarter of 2020, there was a drop in the gross domestic product of 18.9% compared to the same quarter of 2019. In this context, the objective is to identify types of personal expenses in households located in Culiacán, Sinaloa, Mexico as of July 15, 2020. The main results were that most of the respondents' budgets spend according to their income, have had no problem paying their bank loans on time, would consider a fund for future contingencies, have not purchased health insurance, have not bought a computer or cell phone, among other issues analyzed. The main findings are oriented to the fact that the studied population has not acquired additional medical insurance despite the pandemic. It is also concluded that the population under study has become aware of having savings for contingency funds and that digital life still shows resistance in making personal financial decisions.

Probing into the Dilemma of Hospice Care for the Elderly in China

With the aging of the population gradually become a worldwide trend, China has entered into the aging society in 2000, the phenomenon of “getting old before getting rich” has caused a severe challenge. As a part of the pension system, hospice should be paid attention and promoted. However, due to the influence of China’s traditional view of death and the fact that hospice is not included in the medical insurance system, the idea of hospice has not been widely publicized. Based on Maslow’s hierarchy of needs theory, this paper analyzes the current situation of hospice care for the elderly in China and explores the specific difficulties encountered in its development, then we hope people re-understand the saying “a good death is better than a lazy life” and choose hospice care services rationally.

Deny Network Mutual Assistance’s Insurance Nature

The level of medical insurance has been significantly enhanced because to Network Mutual Assistance. However, the definition of the legal nature of Network Mutual Assistance is quite different in the regulations and judgement documents. This article reviews the principles of insurance and concludes that, while Network Mutual Assistance complies with some aspects of insurance legislation, it lacks the profit elements of insurance. The existing law does not include Network Mutual Assistance under the definition of insurance.

A Computational Intelligence Approach for Predicting Medical Insurance Cost

In the domains of computational and applied mathematics, soft computing, fuzzy logic, and machine learning (ML) are well-known research areas. ML is one of the computational intelligence aspects that may address diverse difficulties in a wide range of applications and systems when it comes to exploitation of historical data. Predicting medical insurance costs using ML approaches is still a problem in the healthcare industry that requires investigation and improvement. Using a series of machine learning algorithms, this study provides a computational intelligence approach for predicting healthcare insurance costs. The proposed research approach uses Linear Regression, Support Vector Regression, Ridge Regressor, Stochastic Gradient Boosting, XGBoost, Decision Tree, Random Forest Regressor, Multiple Linear Regression, and k-Nearest Neighbors A medical insurance cost dataset is acquired from the KAGGLE repository for this purpose, and machine learning methods are used to show how different regression models can forecast insurance costs and to compare the models’ accuracy. The results shows that the Stochastic Gradient Boosting (SGB) model outperforms the others with a cross-validation value of 0.0.858 and RMSE value of 0.340 and gives 86% accuracy.