As healthcare costs continue to rise, accurate cost-effectiveness estimates are crucial. However, estimating the costs and outcomes of different interventions is complicated by uncertainty.
In model-based health economic evaluations (HEEs), uncertainty can arise from limited data, methodological limitations, and variability in clinical outcomes.
A recent review identified 80 methods for identifying, analyzing, and communicating uncertainty in HEEs. Quantifying uncertainty wherever possible is crucial to ensure accurate and unbiased cost-effectiveness estimates, ultimately leading to optimal allocation of healthcare resources
🌟 Embracing technology for elderly care is essential in enhancing health and independence. Discover how smart home technologies, wearable devices, and telehealth services are shifting elderly care. Let’s create a supportive environment for our ageing population.
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Learn more about the latest innovations in elderly care and how they can improve the quality of life for older adults.
🌍📈 The elderly population in Sub-Saharan Africa is set to triple by 2050, presenting unique healthcare challenges. Our latest article explores the current policy environment, healthcare needs, and future directions for effective policymaking. Let’s ensure our ageing population receives the care and support they deserve. Read more on our website! #SyenzaNews #Healthcare #AgingPopulation #SubSaharanAfrica #PolicyResearch 🌟
🔍 Explore the latest insights on dementia risk factors in the UK! Unveiling trends, disparities, and strategies for effective prevention. Let’s work towards a healthier future together!
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