Global demographic shifts, particularly the growing elderly population and their need for chronic disease management are straining healthcare systems. Innovative models that emphasize telemedicine and digitalization offer promising solutions to improve care and reduce costs. To evaluate the feasibility and sustainability of such a model, an adaptive mixed-methods approach, including dynamic context monitoring and a Strengths, Weaknesses, Opportunities, and Threats (SWOT) analysis, was employed. A preliminary three-month regional study aimed to prevent acute events in older adults and enhance the quality of life using digital devices for self-monitoring vital signs was conducted. These data were transmitted in real-time to a platform monitored by general practitioners. Despite the short experimental period, early findings are promising, indicating the model’s potential for scalability and adaptability to various settings, such as protected discharge or chronic care programs. However, addressing challenges like internet connectivity, healthcare professional engagement, sociocultural resistance, and the need for ongoing training is crucial. Effectively managing these factors while leveraging existing strengths and opportunities could lead to more efficient, responsive healthcare systems.

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An Adaptive Mixed-Methods Approach for the Sustainability Assessment of Innovative Healthcare Models

  • Manila Caragiuli,
  • Agnese Brunzini,
  • Chiara Massera,
  • Michele Germani

摘要

Global demographic shifts, particularly the growing elderly population and their need for chronic disease management are straining healthcare systems. Innovative models that emphasize telemedicine and digitalization offer promising solutions to improve care and reduce costs. To evaluate the feasibility and sustainability of such a model, an adaptive mixed-methods approach, including dynamic context monitoring and a Strengths, Weaknesses, Opportunities, and Threats (SWOT) analysis, was employed. A preliminary three-month regional study aimed to prevent acute events in older adults and enhance the quality of life using digital devices for self-monitoring vital signs was conducted. These data were transmitted in real-time to a platform monitored by general practitioners. Despite the short experimental period, early findings are promising, indicating the model’s potential for scalability and adaptability to various settings, such as protected discharge or chronic care programs. However, addressing challenges like internet connectivity, healthcare professional engagement, sociocultural resistance, and the need for ongoing training is crucial. Effectively managing these factors while leveraging existing strengths and opportunities could lead to more efficient, responsive healthcare systems.