The Health Care Resources focus area is divided into three chapters: Hospitals, Doctors, and Other Health Care Professionals. They focus on facilities, personnel, equipment, and the necessary infrastructure for the provision of healthcare services. These resources are essential for providing medical care, promoting health, and addressing healthcare needs of individuals and populations. The Hospitals chapter covers two indicators: hospital beds available per 1000 persons and the average number of beds per hospital in a geographical region. The Doctors chapter shows physicians’ density available per 1000 inhabitants and dentists’ density per 1000 inhabitants in a region. When it comes to the Other Health Care Professionals chapter, the three indicators it covers are: the density of nurses and pharmacists per 1000 inhabitants and physiotherapists per 100 thousand inhabitants.
The health indicators domain encompasses a dynamic global landscape with varying levels of development. While significant progress has been made in North America, Western Europe, and parts of Asia, driven by advanced healthcare systems and robust data infrastructure, disparities remain, particularly in developing regions that face data collection and infrastructure challenges. Health systems are diverse, with many organizations involved in indicator development, underscoring the need for collaborative efforts to ensure standardized measurements. The healthcare sector faces challenges in financing, determinants, and resource allocation. Insufficient funding and inefficient allocation hinder universal access, while limited resources hamper investment in infrastructure and technology. Addressing challenges such as human resource shortages, lack of healthcare infrastructure, and affordability is crucial for optimizing resource utilization in the sector.
The dataset encompasses data from 152 countries. The charts depict the situation of each country in six different domains. These domains are socioeconomic indicators, macroeconomic indicators, health indicators, digital and connectivity indicators, consumption indicators, as well as logistics and transport indicators. Within these domains, various segments are covered, including demography, economic measures, economic inequality, employment, consumption, health determinants, and much more.
The composition of each domain follows a comprehensive approach that combines both top-down and bottom-up methodologies, with each domain and segment being guided by a specific rationale. To evaluate the situation of these six domains within each country, we rely on pertinent indicators and data from reputable international institutions, local national statistical offices, industry associations, and leading private institutions. Additionally, we undertake data processing procedures to address issues such as missing timelines, outliers, and data inconsistency. Our data processing incorporates advanced statistical techniques, including interpolation, exponential moving weighted average, and the Savitzky-Golay filter. These methods contribute to the refinement and enhancement of data quality.
In our forecasting process, a wide range of statistical techniques is utilized based on the characteristics of the markets. For example, the S-curve function is employed to forecast the adoption of new technology, products, and services, aligning the forecast model with the theory of innovation adoption. Additionally, the data is forecasted using ARIMA with and without seasonality considerations, exponential trend smoothing, and the Compound Annual Growth Rate (CAGR), with the option to incorporate adjustment factors when necessary. These techniques enable accurate and reliable forecast methods tailored to the unique characteristics of the data in each market and country.
The data is updated twice per year or every time there is a significant change in their dynamics. The impacts of the COVID-19 pandemic and of the Russia/Ukraine war are considered at a country-specific level.
Other Health Professionals
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