Malnutrition
Conditions
Brief summary
Nutrition Department of University Hospital La Paz decided to implement some method of screening in our centre which allowed us to detect as many patients with malnutrition risk as possible. Due to the large size of our centre, with about 1,500 beds and the few human resources in our unit, we chose to use the CONUT system (Nutritional Control), a 100% automatic method based on analytical parameters, very easy to use, low cost and whose validity is confirmed, characteristics that fulfilled our needs. The implementation of this nutritional screening method has led to a change in the ìnutritionafi culture of our centre respect to DRM in most of our professionals: doctors and nurses and even in the management team, so all of them understand the importance of the process and know about the available tools and knowledge to indicate an adequate and early nutritional support.
Interventions
OTHERCONUT screening system
CONUT has been working from june of 2010 and it has detected risk of malnutrition in 32% of the evaluated patients. The method collects information from databases of Admission Service (affiliation, age, date) and Laboratory (albumin, cholesterol, total lymphocytes) and generates, in the report of analytical results, alert information about each patient's nutritional risk and also nutritional recommendations based on the risk identified.
Sponsors
Instituto de Investigación Hospital Universitario La Paz
Study design
Observational model
COHORT
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
15 Years to No maximum
Inclusion criteria
* Patients of both sexes * Patients older than 15 years * Patients admitted to the General Hospital or Traumatology area * Patients who have signed the informed consent to participate in the study * Patients who do not meet any
Exclusion criteria
.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| To detect as many patients with malnutrition risk as possible | Three months | The method collects information from databases of Admission Service (affiliation, age, date) and Laboratory (albumin, cholesterol, total lymphocytes) and generates, in the report of analytical results, alert information about each patient's nutritional risk and also nutritional recommendations based on the risk identified. Prior to its implantation several evaluations were performed in order to allow us to better know the extra workload, as it was the main factor that could limit our ability to assume that screening method and also many training activities for doctors and hospital health professionals who were increasingly assuming responsibilities in the nutritional treatment of their patients. |
Countries
Spain
Outcome results
None listed