About this Research Topic

Background

With the global population aging rapidly, healthcare systems face unprecedented challenges in managing the complex needs of the elderly. The prevalence of chronic diseases such as cardiovascular diseases, diabetes, and neurodegenerative disorders is rising, further complicating the healthcare landscape. Alongside the increasing disease burden, the need for sustainable long-term care models is more crucial than ever. Traditional healthcare approaches are often insufficient in addressing the multifaceted needs of older adults, who require coordinated care, personalized treatment plans, and continuous monitoring.

Innovative approaches that integrate diverse fields such as epidemiology, statistics, and health economics have the potential to revolutionize how we manage healthcare for an aging society. Understanding the economic impact of aging—including the direct and indirect costs associated with chronic disease management and long-term care—is vital. Moreover, optimizing healthcare delivery through data-driven strategies, predictive analytics, and evidence-based policy frameworks can significantly improve health outcomes and enhance the quality of life for the elderly. The role of technology, including digital health solutions and telemedicine, also offers promising avenues for improving access to care and supporting independent living.

This Research Topic "Challenges and Innovations in Healthcare Management and Long-Term Care for an Aging Society," aims at addressing the pressing challenges and innovative solutions in healthcare management and long-term care for an aging society. It seeks to explore critical research questions, such as how to optimize healthcare delivery for older adults, develop sustainable economic models for long-term care, and effectively manage chronic diseases in aging populations. This Research Topic encourages contributions that apply epidemiological methods, advanced statistical models, and health economic analyses to these problems. By fostering interdisciplinary research, it aims to provide valuable insights that inform policies, improve care strategies, and enhance the quality of life for older adults globally.

Topics may include, but are not limited to:

● Epidemiological trends and determinants of health in aging populations.

● Statistical modelling and data analytics for optimizing healthcare delivery and resource allocation.

● Health economic evaluations, including cost-effectiveness and cost-benefit analyses in long-term care.

● Mathematical approaches to develop predictive models and decision-support tools for chronic disease management.

● Innovative healthcare management strategies and policy frameworks for sustainable aging care.

● Technological advancements and digital solutions in long-term care.

Article types and fees

This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:

• Brief Research Report
• Case Report
• Clinical Trial
• Community Case Study
• Data Report
• Editorial
• General Commentary
• Hypothesis and Theory
• Methods
• ... View all formats

Articles that are accepted for publication by our external editors following rigorous peer review incur a publishing fee charged to Authors, institutions, or funders.

Article types

This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:

• Brief Research Report
• Case Report
• Clinical Trial
• Community Case Study
• Data Report
• Editorial
• General Commentary
• Hypothesis and Theory
• Methods
• Mini Review
• Opinion
• Original Research
• Perspective
• Policy and Practice Reviews
• Review
• Study Protocol
• Systematic Review

Keywords: Healthcare Management; Long-Term Care; Aging Society

Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

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