Green Approach to Improved Nutritional Support for Cancer Patients (GAIN)

September 1, 2025 updated by: Christine Henriksen, University of Oslo
In this study, we aim to reduce the burden of malnutrition in cancer patients by implementing and evaluating an improved nutritional support, using digital communication and registration tools during the clinical pathway. The project targets a group of patients with a high frequency of malnutrition, due to cancer and the subsequent therapy, where knowledge on the efficient and cost-effective treatment is scarce. The effect of the improved nutrition support will be evaluated in a randomised controlled trial, and the primary endpoint is the prevalence of malnutrition. The long-term goal is to benefit the patients by increasing the completion rate of cancer treatment, reducing the infection rate, need for antibiotics, the total length of hospital stays and number of non-elective re-admissions, and thus increasing the patients' quality of life and survival. The project will be patient-orientated and result in a sustainable approach for the management of malnutrition.

Study Overview

Status

Active, not recruiting

Conditions

Intervention / Treatment

Detailed Description

WP1. Effect of the improved nutritional support

Task 1.1 Recruitment of participants

Consenting, eligible participants will be screened for malnutrition using NRS-2002 by the PhD student, and randomised to intervention or control group stratified for malnutrition risk. All participants will go through a baseline assessment at the Center for clinical nutrition. Participants in the intervention group will be scheduled for a first dietitian visit at the nutrition outpatient clinic at OUH, at the same day as the baseline assessment.

Task 1.2 Intervention

Included in the green approach to improved nutritional support are:

  • Individual dietitian support for patients at risk
  • Self-monitoring of food intake and weight

Digital communication tools to enable frequent follow-up during the cancer treatment. Patients at risk of malnutrition will be given individual goals on energy- and protein intake, weight and body composition. The goals will be converted to specific, measurable and acceptable guidance according to the motivational interview techniques.

Participants will be provided with a tablet computer to monitor dietary intake using the FoodCapture system, intended for nutrition monitoring and follow-up. The interface of FoodCapture consists of an app for mobile devices and a website and includes functions to record, evaluate and document nutrition and generate reports for health professionals.

The technical development of the FoodCapture device is performed by the University Centre for Information Technology (USIT) at the University of Oslo. A web form is used for data flow in the app and data are sent to 'Services for sensitive data' (Tjenester for sensitive data, TSD), both hosted by USIT. Information registered in the FoodCapture app and the recordings of dietary intake are sent encrypted through the web form to TSD. The TSD system is a high-security private cloud eInfrastructure to process and store sensitive research data. It is included in NorStore, the Norwegian national infrastructure for handling and storing scientific data (21).

All data recorded in the FoodCapture app are continuously sent to TSD. In cases of technical problems or loss of internet connection, the data are stored temporarily in an encrypted format before being sent to TSD when the device resumes an internet connection.

To gain access to the FoodCapture web report, healthcare professionals have to complete an access form, that has to be approved by an administrator. Log-in to the webserver is done through the common log-in solution to public services in Norway: ID-porten and authentication is sent to the TSD server to verify access to the web report. The FoodCapture tool is CE marked as a medical device class 1 and registered at the Norwegian Medicines Agency.

Self-monitoring of weight will be facilitated by a digital scale, with a wireless connection to the tablet computer. All data from the digital scale will be transferred to "Services for Sensitive Data" (TSD) and then becomes available for the dietitian, who contacts patients in need of support.

The intervention includes physical and digital follow-up sessions (telephone or video-meetings) with the patient's personal dietician, who will be the main responsible for the nutritional support throughout the clinical pathway. The patient follow-up frequency will be customised, depending on the situation and the patient's needs, but will at a minimum include one physical visits in addition to digital follow-ups during the first 6 months.

Follow-up visits. All participants will be followed up after 6 months to assess malnutrition status. The 12 months follow-up visit is included to evaluate the long-term effect on quality of life and survival.

Sample size: Based on our previous experience with the effect of FoodCapture, we expect a difference in the prevalence of malnutrition of 17 percentage points after 6 months. With a statistical power of 80 % and a significance level of 5 %, we will need a total of 104 patients: 52 in each group to detect expected difference. To allow for a 20 % drop-out, we will recruit 130 participants, and anticipate that the recruitment will last for about 7 months.

WP2. Implementation of improved nutritional support

WP2 will be conducted in close cooperation with the users, including patients, health care professionals and next-of-kin. An implementation study will be performed before and in parallel with the effect study (WP1), using a mixed-method approach with qualitative and quantitative measurements. This WP consists of three tasks:

Task 2.1 First, we will explore the readiness and potential barriers and facilitators of the improved nutritional support by using the Consolidated Framework for Implementation Research. Data will be gathered in focus group discussions.

Task 2.2 The identified barriers and facilitators will be used to create a plan for the implementation of the improved nutritional support. The plan will include implementation strategies, like methods for stakeholder engagement, management support, training and follow-up.

Task 2.3 Finally, we will study the implementation outcomes as described by Proctor et al (30) and explore how the nutritional support is perceived among patients and their next-of-kins. This will include acceptability and practical use of the nutritional support and compatibility with the clinical pathway, if the intervention was delivered as intended, and how the intervention can reach sustainability in the future. Data will be gathered using online questionnaires, technical log-data, focus group discussions and individual interviews

WP3. Economic evaluation on nutritional support

WP3 will be conducted in close cooperation with experts on health economics at the Clinical Trial Unit at OUH. Economic evaluation is defined as the comparison of alternative options in terms of cost and consequences (outcomes).

To calculate the economic impact of the improved nutritional support, based on the results of WP1. We will perform a cost-utility analysis of the nutritional support compared to standard routine care in cancer patients, taking a societal perspective. The generic outcome is Quality adjusted life-years (QALYs) measured by the generic instrument EQ-5D-5L. In order to generate QALYs, health utilities are needed. Utilities are preference weights, measured on a scale from 0 (dead) and 1 (full health). Data will be collected through self-reported measures and electronic patient records, and the health economic analysis will include following costs:

Intervention related costs, mainly related to intervention implementation (introduction to health care personnel and patients, maintenance (software and security updates) and personnel costs due to follow-up.

Health care costs/direct costs, mainly related to use of health care services (including primary care; general practitioner, physical therapy, psychology visits, secondary care; hospitalization, readmission, outpatient visits, use of antibiotics, enteral and parenteral nutrition products.

Societal costs/indirect costs, including work absence (i.e., productivity loss).

Study Type

Interventional

Enrollment (Estimated)

130

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Oslo County
      • Oslo, Oslo County, Norway, 0316
        • University of Oslo

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Description

Inclusion Criteria:

Adults with primary:

  • gynaecologic cancer with planned radiation therapy (ca. cervix)
  • colorectal cancer
  • lymphomas

Exclusion Criteria:

  • Exclusion criteria are defined as patients admitted with TNM stage 4
  • Terminal condition (life expectancy < 6 months).

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Health Services Research
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
No Intervention: Control
Usual care
Experimental: Intervention
Extra nutritional support
Advice regarding energy, protein and nutrient intake during cancer treatment
Other Names:
  • Usual care

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Malnutrition
Time Frame: After 6 months
Measured by PG-SGA
After 6 months

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Other clinical outcomes
Time Frame: 6 months
Cancer treatment completion rate
6 months
Survival
Time Frame: 12 months
From electronic medical records
12 months
Health-related quality of life
Time Frame: 6 and 12 months
Questionnaires Core 30 (QLQ-C30)
6 and 12 months
Health costs
Time Frame: 12 months
To be estimated
12 months
Appreciation by health care professionals and patients
Time Frame: 6 months
By interviews
6 months
Infection rate
Time Frame: 6 months
Number
6 months
Need for antibiotics
Time Frame: 6 months
Number
6 months
Length of hospital stay
Time Frame: 6 months
Days
6 months
Re-admissions
Time Frame: 6 and 12 months
Number
6 and 12 months
Cancer specific quality of life
Time Frame: 6 and 12 months
EQ-5D-5L
6 and 12 months
Malnutrition by GLIM
Time Frame: 6 month
Malnutrition measured by the objective method developed by the Global Leadership Initiative on Malnutrition (GLIM). The GLIM-criteria also categories the participants i three groups: Well-nourished, moderate malnutrition and severe malnutrition.
6 month

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Christine Henriksen, PhD, University of Oslo

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

October 1, 2022

Primary Completion (Estimated)

October 31, 2025

Study Completion (Estimated)

April 30, 2026

Study Registration Dates

First Submitted

September 8, 2022

First Submitted That Met QC Criteria

September 14, 2022

First Posted (Actual)

September 16, 2022

Study Record Updates

Last Update Posted (Estimated)

September 8, 2025

Last Update Submitted That Met QC Criteria

September 1, 2025

Last Verified

April 1, 2025

More Information

Terms related to this study

Other Study ID Numbers

  • 267889

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

product manufactured in and exported from the U.S.

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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