Clinical trial NCT03412695: Development of a Decision Support System to Prevent and Treat Disease-related Malnutrition
Official title: Development of a Decision Support System to Prevent and Treat Disease-related Malnutrition
Study type: INTERVENTIONAL
Overall status: COMPLETED
Phase: NA
Conditions: Malnutrition
Keywords: Disease-related malnutrition
eHealth
Decision support system
Clinical nutrition
Lead sponsor: Oslo University Hospital
Sponsor class: OTHER
Collaborators: name: University of Oslo
First posted: 2018-01-26
Enrollment: 100
Sex: ALL
Minimum age (years): 18
Standard ages: ADULT
OLDER_ADULT
Accepts healthy volunteers: no
Allocation: RANDOMIZED
Intervention model: PARALLEL
Primary purpose: PREVENTION

Brief summary: The prevalence of disease-related malnutrition among hospitalized patients is 30-50%. There is a lack of tools to follow up the nutritional treatment of these patients. The investigators develop the decision support system "MyFood" which can be used to assess patients' dietary intake, evaluate intake against individual needs, and propose nutrition related measures and an individual nutrition plan for each patient. The investigators will study the clinical effects of using MyFood among hospitalized patients. In addition the implementation of the tool among healthcare workers will be studied.

Detailed description: The prevalence of disease-related malnutrition among hospitalized patients is 30-50%. Disease-related malnutrition increase the morbidity and mortality among patients and leads to longer length of stay. There is a lack of tools to follow up the nutritional treatment of patients at nutritional risk. The decision support system "MyFood" is developed in the project with the purpose to prevent and treat disease-related malnutrition. MyFood includes 4 modules: 1) A function to register patient needs and symptoms, 2) Dietary assessment function, 3) Automatic evaluation of dietary intake compared to individual needs, 4) Feedback, including a report on intake of energy, protein, and liquids compared to individual needs, and recommendations for nutritional measures and an individual nutrition plan.

Clinical effects of using MyFood among hospitalized patients will be studied in a randomized controlled trial. In addition, the implementation of the tool among nurses and other healthcare workers will be explored.

Eligibility criteria: Exclusion Criteria:

* \<72 hours expected hospital stay
* Terminal patients
* Pregnant
* Psychiatric patients
* Patients who cannot read the Norwegian Language
* Patients diagnosed with: sickle cell anemia, haemophilia, or deep vein thrombosis

Primary outcomes:
measure: Change in body weight (kg) during hospital stay
timeFrame: 2 times each week, from patient admission (day 1) to hospital discharge (on average day 11)
Secondary outcomes:
measure: Patient length of hospital stay
timeFrame: At the day of patient discharge (on day 11)
measure: Change in body Composition
timeFrame: 2 times each week, from patient admission (day 1) to hospital discharge (on average day 11)
measure: Proportion of patients who receives a nutrition diagnose
timeFrame: Assessed from medical journals every second day during each patient's hospital stay (11 days on average)
measure: Proportion of patients who get implemented nutrition-related measures
timeFrame: Assessed from medical journals every second day during each patient's hospital stay (11 days on average)
measure: Proportion of patients who receive a nutrition plan
timeFrame: Assessed from the participating patients' medical journals on day 2 and every second day during hospital stay (11 days on average)
measure: Re-admissions
timeFrame: 30 days after discharge
measure: Patient generated subjective global assessment (PG-SGA) score
timeFrame: Measured on day 1 and at admission (day 11 on average)
Other outcomes:
Locations:
city: Oslo
country: Norway
facility: Oslo university hospital, Rikshospitalet
Study officials:
References:
citation: Paulsen MM, Varsi C, Andersen LF. Process evaluation of the implementation of a decision support system to prevent and treat disease-related malnutrition in a hospital setting. BMC Health Serv Res. 2021 Mar 25;21(1):281. doi: 10.1186/s12913-021-06236-3.
citation: Paulsen MM, Paur I, Gjestland J, Henriksen C, Varsi C, Tangvik RJ, Andersen LF. Effects of using the MyFood decision support system on hospitalized patients' nutritional status and treatment: A randomized controlled trial. Clin Nutr. 2020 Dec;39(12):3607-3617. doi: 10.1016/j.clnu.2020.03.012. Epub 2020 Mar 19.