Forecasting the Health Transition and Medical Expenditure of the Future Elderly in China: A Longitudinal Study Based on Markov Chain and Two Part Model

Set in the rapid development of population aging, this study focuses on the relationship between health and medical expenditure of the elderly population. Taking the health and medical expenditure of the elderly as the research object, this study analyzes the characteristics and the intrinsic relationship between them. Based on the future elderly model, this study calculates the transition probability of the elderly's self-assessment health state using the Health Transition Model and estimates the medical expenditure of the elderly by the Two-Part Model. Based on the above, this study predicts the trend of the population size and medical expenditure of the elderly in the next 15 years (2020–2035). Based on the results, the policy suggestions are put forward. To begin with, strengthening health management and health services for the elderly in the construction of healthy China. Next, building a comprehensive system of health care for the elderly in government, society, family, and individual. Then, establishing a long-term care service system as soon as possible. In addition, it is better to establish lifelong health consciousness and cultivate healthy accomplishment behavior. Finally, it is necessary to promote gender mainstreaming in the health field.

Risk of Negative Health Outcomes and High Costs for People With Diabetes and Unmet Psychological Needs in the United States

Measuring the population-level relationship between compromised mental health and diabetes care remains an important goal for clinicians and health care decision-makers. We evaluated the impact of self-reported unmet psychological need on health care resource utilization and total health care expenditure in people with type 2 diabetes. Patients who reported unmet psychological needs were more likely than those who did not to incur a higher annual medical expenditure, have greater resource utilization, and have a higher risk of all-cause mortality.

Risk of Negative Health Outcomes and High Costs for People With Diabetes and Unmet Psychological Needs in the United States

Measuring the population-level relationship between compromised mental health and diabetes care remains an important goal for clinicians and health care decision-makers. We evaluated the impact of self-reported unmet psychological need on health care resource utilization and total health care expenditure in people with type 2 diabetes. Patients who reported unmet psychological needs were more likely than those who did not to incur a higher annual medical expenditure, have greater resource utilization, and have a higher risk of all-cause mortality.

Risk of Negative Health Outcomes and High Costs for People With Diabetes and Unmet Psychological Needs in the United States

Measuring the population-level relationship between compromised mental health and diabetes care remains an important goal for clinicians and health care decision-makers. We evaluated the impact of self-reported unmet psychological need on health care resource utilization and total health care expenditure in people with type 2 diabetes. Patients who reported unmet psychological needs were more likely than those who did not to incur a higher annual medical expenditure, have greater resource utilization, and have a higher risk of all-cause mortality.

Pathways of Teach-Back Communication to Health Outcomes Among Individuals With Diabetes: A Pathway Modeling

Teach-back method can help promote interactive communication between patients and providers. However, the mechanism of how teach-back operates in routine care is uninvestigated. Using pathway analysis, we explored the potential pathways of patient teach-back to health outcomes among individuals with diabetes. Study sample included 2901 US adults with diabetes ascertained from the 2011 to 2016 Longitudinal Medical Expenditure Panel Survey. Our pathway model analysis showed that patient teach-back was associated with better interaction with providers, shared decision-making, and receiving lifestyle advice. Teach-back had a direct negative effect on condition-specific hospitalization and indirect negative effects through lifestyle advice and diabetic complication. Teach-back method may promote active interactions between patients and providers by creating an opportunity to be more engaged in shared decision-making and receive additional health advice from providers. These improvements seem to be associated with a reduction in risks for complications and related hospitalization.

Study on the Factors Influencing Total Health Cost Based on Multiple Regression Model

In recent years, China's social economy and income level of residents have increased rapidly, the total cost of health has increased rapidly, and the level of medical expenditure of residents has been increasing. This paper establishes a multivariate linear regression model using data from 1996 to 2020, and analyzes several important influencing factors that affect overall health expenditure. The aim is to formulate a health financing policy suitable for the coordinated development of China's social economy, and to provide a basis for adapting to the needs of economic development, structural adjustment and institutional transformation.

Design a Remote Patient Health Monitoring System (RPHMS) Using IoT

Healthcare has become one of the principal issue with the rise in human population and medical expenditure. For a healthy life, it is essential to follow human body’s vital signals. Continuous Monitoring of patient’s vital signals cannot be provided outside hospital. As it is hard to monitor the patient’s condition for 24 hours, it was proposed in this paper to observe continuously the condition of patient despite the patient being busy with his routine and to screen the health status to the doctors through Internet of Things. This paper proposes health monitoring system using non-intrusive biomedical sensors that measure five parameters like ECG, SPO2, toxic gas, temperature and blood pressure. Proposed method makes use of Arduino Uno Controller to which non-invasive biomedical sensors are connected. The output is displayed on any digital monitoring system using Arduino Uno. The data obtained from the sensors is uploaded to the Thing Speak cloud to store and to access patient’s information by their doctors or by the concerned for necessary follow-ups in real-time. IoT is a powerful domain where sensors can connect and data is viewed over the Internet.

Current Status of Repeated Hospitalization in South Korea: Focused on Ambulatory Care Sensitive Conditions

Purpose: Repeated hospitalization could be a proxy of unnecessary or preventive admission in South Korea where barriers to hospitalization are relatively low. This study aimed to estimate the current status of repeated hospitalization due to ambulatory care sensitive conditions (ACSC) in South Korea.Methods: Using the National Health Information Database, repeated hospitalization databases were constructed in units of episodes for patients who had been admitted more than twice between January 2017 and December 2018. The number of hospitalizations, total in-hospital days, and total medical expenditure were calculated and compared by patient characteristics in both of the entire patient group and the ACSC patient group.Results: Of total hospitalization episodes, 26.6% reported repeated admission, and 6.7% of repeated hospitalization was due to ACSC. A total of 183,110 patients with ACSC had been admitted an average of 2.9 times and spent an average of KRW5,630,118. In other words, KRW1,309 billion had been spent for repeated hospitalization due to ACSC. The scale of medical expenditure was relatively large in the highest and lowest socioeconomic status.Conclusion: Repeated hospitalization for ACSC can be considered a simple and intuitive indicator when assessing unnecessary hospitalizations or evaluating healthcare policy.

Internal Migration Experience and Depressive Symptoms among Middle-Aged and Older Adults: Evidence from China

Background: This study aimed to examine the association of internal migration experience with depressive symptoms among middle-aged and elderly Chinese, as well as explore possible mechanisms of the relationship. Methods: Participants were from the China Health and Retirement Longitudinal Study (CHARLS), a nationally representative sample of residents aged 45 years and older (n = 43,854). Survey data on depressive symptoms and internal migration experience were collected from biennial CHARLS surveys (CHARLS 2011/2013/2015) and a unique CHARLS life history survey in 2014, respectively. Multiple logistic regressions and the Karlson–Holm–Breen (KHB) method were employed in the statistical analyses. Results: The overall prevalence rate of depressive symptoms among middle-aged and older adults was 34.6%. Internal migration experience was associated with higher risks of depressive symptoms (OR = 1.07, 95% CI = 1.02–1.12, p < 0.01), especially among females (OR = 1.08, 95% CI = 1.01–1.14, p < 0.05), middle-aged adults (OR = 1.12, 95% CI = 1.06–1.19, p < 0.001), rural-to-urban migrants who had not obtained an urban hukou (OR = 1.13, 95% CI = 1.07–1.19, p < 0.001), and those who had low migration frequency and first migrated out at 35 years of age or older. Chronic disease (17.98%, p < 0.001), physical injury (7.04%, p < 0.001), medical expenditure (7.98%, p < 0.001), pension insurance (4.91%, p < 0.001), and parent–child interaction (4.45%, p < 0.01) were shown to mediate the association of internal migration experience with depressive symptoms. Conclusions: This study indicates that there is a significant association between internal migration experience and high risks of depression onset later in life. It is suggested to reduce institutional barriers for migrants and implement evidence-based interventions to improve migrants’ mental health.