Future Scenarios of Aging and Elderly Care in Post-Industrial Societies

Abstract

This study aims to explore future scenarios of aging and elderly care in post-industrial societies. A qualitative research design was employed, utilizing semi-structured interviews with 22 participants from online communities and a review of scientific articles to analyze current trends and anticipate future challenges. Participants included elderly individuals, caregivers, healthcare professionals, social workers, and policymakers. Data collection was conducted through online interviews and thematic analysis was performed using NVivo software. The study reached theoretical saturation, and findings were validated through triangulation with existing literature. The results indicate that technological integration, particularly in AI-assisted home care, telemedicine, and smart monitoring devices, will significantly impact elderly independence and healthcare accessibility. Community-based and decentralized care models emerged as preferable alternatives to institutional care, with intergenerational living, cooperative housing, and local government support playing essential roles. Economic and policy challenges, including financial sustainability of pension systems and workforce shortages in elderly care, were highlighted as significant concerns. The study also found that psychosocial well-being, including social engagement, cognitive stimulation, and family caregiver support, is crucial for maintaining mental health in aging populations. Additionally, ethical and cultural considerations, such as autonomy in decision-making and end-of-life care policies, remain essential in shaping elderly care systems globally. The future of elderly care in post-industrial societies will depend on the effective integration of technology, economic policies, community-driven initiatives, mental health support, and ethical frameworks. Policymakers, healthcare providers, and technology developers must collaborate to create sustainable, inclusive, and ethically responsible elderly care models that address the growing needs of aging populations.