Development of a Decision Support System to Prevent and Treat Disease-related Malnutrition

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Clinical Phase

NA

Total Enrollment

100 participants

Study Classification

INTERVENTIONAL

Study Start Date

2018-08-22

Study Completion Date

2019-05-31

Brief Summary

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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.

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Detailed Description

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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.

Conditions

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Malnutrition

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

PARALLEL

Primary Study Purpose

PREVENTION

Blinding Strategy

NONE

Study Groups

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Arm A

Use of the MyFood tool among patients and nurses (intervention group)

Group Type EXPERIMENTAL

MyFood

Intervention Type DEVICE

Patients included in the intervention group will use the MyFood app to record their dietary intake. Nurses will use the report and recommendations in the MyFood tool to follow up the nutritional treatment of the patients.

Arm B

No intervention. Regular hospital routines

Group Type NO_INTERVENTION

No interventions assigned to this group

Interventions

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MyFood

Patients included in the intervention group will use the MyFood app to record their dietary intake. Nurses will use the report and recommendations in the MyFood tool to follow up the nutritional treatment of the patients.

Intervention Type DEVICE

Eligibility Criteria

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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

Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No