Health spending measures the final consumption of health goods and services (i.e., current health expenditure), including personal medical care (curative care, rehabilitation care, long-term care, ancillary services and medical products) and collective services (prevention and public health services, as well as health services). There seems to be no correlation between health costs and average weekly hours, indicating that there is no effect on productivity. To meet the need for reliable information on national health issues, the Kaiser Family Foundation is a non-profit organization based in San Francisco, California. Therefore, as spending on health care increases, Americans' health status will improve and labor productivity will increase.
While increased health spending is associated with better health outcomes, especially in low-income countries, there is no “recommended” level of health spending. Finally, the effects of health spending on a different group (for example, different age groups) within a state were not studied. For example, improvements in health may only translate into an increase in worker productivity after a delay of several decades. We analyze the data to determine the patterns and relationships between health care spending indicators and economic performance.
It is also essential that policy makers implement appropriate policies at the macroeconomic level aimed at public health spending and economic development. Spending on health care can result in better provision of health opportunities, which can strengthen human capital and improve productivity, thus contributing to economic performance. The figure shows a negative relationship, since, as the costs of personal health care increase, the average time spent shopping decreases. In a study on the impact of health indicators for the period 1965-1990 in developed and developing countries, the economic performance of developing countries increased significantly with an improvement in public health (20).
This confirms two trends: Americans spend more on health care over time; and personal income increases faster than health care expenses in terms of dollar amounts. Figure 14 shows a neural network model based on machine learning to analyze what type of health expenditure most affects GDP per capita. In the figure, the bar chart represents GDP and the trendline represents personal health spending. In light of these potential benefits, universal access to health care is something that deserves further research.