The Impact of Artificial Intelligence Dietary Smartphone Application on Nutritional Status Among Cancer Patients

University of Putra Malaysia (UPM)

Status: Completed

Conditions: Malnutrition; Protein; Weight Change, Body; Malnutrition, Calorie

Treatments: Device: artificial intelligence dietary android mobile application

Study type: Interventional

Funder types: Other

Identifiers

NCT04643626

NMRR-19-2948-51031

Details and patient eligibility

About

Multi-center prospective pilot trial study

Full description

This is a clinical study to evaluate impact of dietary smartphone application on nutritional status among cancer patients. the study hypotheses there is improvement in nutritional outcome in intervention group if compare with control group. the eligible subjects will be screened according to inclusion criteria and approached individually to participate in this study. The consented subjects will be divided randomly into two groups, intervention and conventional groups. Conventional dietitian care will be given to conventional group (CG) while intervention group (IG) will received innovated dietitian care where they will be introduced with iDSA apps and installed in consented subjects' smartphone. All subjects will be reviewed again by dietitian in 1-month time to assess nutritional status (weight and energy protein intake) as well as nutrition impact symptoms.

Enrollment: 56 patients

Sex: All

Ages: 18+ years old

Volunteers: No Healthy Volunteers

Inclusion criteria

• Possessing smartphone and is willing to use smartphone application
• Been referred to dietitian in outpatient clinic
• At least 18 years of age
• Malaysian

Exclusion criteria

• Inability to use the smartphone application (eg. due to vision problems)
• Not been referred to dietitian in outpatient clinic
• Patients who participate in other study at the same time
• On nutrition support (enteral / intra-venous)
• Vulnerable subjects

Trial design

Primary purpose: Supportive Care

Allocation: Randomized

Interventional model: Parallel Assignment

Masking: None (Open label)

---

56 participants in 2 patient groups

IG

Experimental group

Description:

artificial intelligence dietary application, iDSA, will be introduced and installed. Explanation on the function and application of iDSA will be given. Daily energy and macro-nutrients requirement target will bed set. The daily energy and macronutrients requirement target is secured by password. Subjects will record their daily dietary intake (food with cooking method and portion size) and nutrition impact symptoms via smartphone application at least 3 times a week. Subjects able to keep track their intake at home. During follow up session, subjects show the iDSA diet intake summary records to Researcher for further assessment.

Treatment:

Device: artificial intelligence dietary android mobile application

CG

No Intervention group

Description:

CG will receive conventional dietitian care includes nutrition care process using conventional 24 hours diet recall method for dietary assessment