Design of a decision tree for monitoring geriatric syndromes in the adult population: An integrative proposal

Geriatric syndromes constitute a series of highly prevalent conditions, of multi-causal origin and that are associated with morbidity and mortality, as well as being interrelated. Detecting these syndromes in a timely manner is of vital importance for the care of the elderly, however, the application of the validated instruments for this purpose requires a learning curve and dedication time, with which the primary care care staff cannot account. This study aims to design a geriatric syndrome surveillance system that is easy to access and use that can be used in clinical practice and in primary health care. In a second phase (not contemplated in this protocol), the the development of a tool based on artificial intelligence for the detection and approach of intervention strategies. At the end of this project, it is expected to have designed an evaluation algorithm for the main geriatric syndromes, which will serve as the main input for the second phase of this project. From the meetings held with the experts and the reviews of the bibliography, it is proposed to carry out at least one systematic review where the information found is synthesized.