NUTRIGEP

Personalized Nutrition in Geriatrics for the Prevention of Malnutrition 

Malnutrition in our hospital environment is a major problem due to two circumstances, its high prevalence and the morbidity it entails, which translates into an increase in hospital stays. Despite being a situation known by clinicians and health officials, it often goes unnoticed.

One of the essential components of quality care, with a view to achieving  therapeutic objectives, involves monitoring, maintenance and treatment of  nutritional status of patients.

Disregard  nutritional status drives our patients  to a situation of risk and clinical insecurity, so the early detection of  malnutrition or the risk of suffering from it are essential requirements to establish,  with the greatest precocity also, the most appropriate treatment and its follow-up.

The presence  of malnutrition  from the patients  hospital admission can greatly determine the evolution and prognosis of your disease and  cause an increase in hospital stay and healthcare costs.

There are numerous scientific societies and national and international organizations that call for its detection as early as possible, so that it is possible to implement the necessary measures to avoid its consequences. With the aim of systematizing nutritional screening and early identification of malnourished patients on admission, Osakidetza has specifically included this line of work in its new Osakidetza 2020 Patient Safety strategy.

Nutrigep is a Hazitek project (File No.: ZL-2020/00233), is co-financed by the Department of Economic Development, Sustainability and Environment of the Basque Government and the European Union, through the ERDF, within the framework of the Country's Operational Program Basque ERDF 2014-2020.

O bjectives

  • Determine prevalence  of malnutrition in  patients admitted to the Asunción Klinika, their grade and type

  • To analyze the possible relationship between different risk factors and the nutritional status of patients during their admission

  • To analyze the relationship between complications during admission and the degree of malnutrition on admission:

    • surgical dehiscence

    • infection in the community

    • Appearance of pressure ulcer

    • Re-entry

  • To analyze the economic impact of malnutrition on hospitalized patients

  • Establish, through knowledge with current scientific evidence, some correction methods so that it is possible to implement the necessary measures to avoid the consequences of malnutrition.

  •   Predict and prevent possible malnutrition in geriatric patients, as well as management and personalization of diets for adequate and preventive food management

  • Development of a tool based on artificial intelligence for the prevention, monitoring and personalized feeding of the patient

  • Reduce the number of malnutritions, which add complications, such as dehiscence, infection, ulcers and readmission, which in turn entail a higher social and health cost

 

Participating entities:

Funded by:

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