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

NCT04643626 | Completed DMC

• 1 other identifier: NMRR-19-2948-51031
• Study Type: interventional
• Target: 56
• Locations: 1 country
• Sites: 1

Brief Summary

Multi-center prospective pilot trial study

Conditions

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

Keywords

artificial intelligence dietary application; weight; oral intake

Outcome Measures

Primary Outcomes (3)

• weight changes

  compare weight before intervention and after intervention

  one month

• daily energy intake

  compare daily energy intake before intervention and after intervention

  one month

• daily protein intake

  compare daily protein intake before intervention and after intervention

  one month

Secondary Outcomes (2)

• PG-SGA score

  one month

• Nutrition Impact Symptoms (NIS)

  one month

Study Arms (2)

IG

EXPERIMENTAL

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.

Device: artificial intelligence dietary android mobile application

CG

NO INTERVENTION

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

Interventions

artificial intelligence dietary android mobile application DEVICE

subjects use artificial intelligence dietary mobile application to monitor dietary intake

Also known as: iDSA

IG

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64), Older Adult (65+)

You may qualify if:

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

You may not qualify if:

• 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

Sponsors & Collaborators

• Universiti Putra Malaysia: lead
• National Cancer Institute, Malaysia: collaborator

Study Sites (1)

National Cancer Institute

Putrajaya, Putrajaya, 62250, Malaysia

Location

MeSH Terms

Conditions

Malnutrition; Kwashiorkor; Body Weight Changes; Body Weight

Condition Hierarchy (Ancestors)

Nutrition Disorders; Nutritional and Metabolic Diseases; Severe Acute Malnutrition; Signs and Symptoms; Pathological Conditions, Signs and Symptoms

Study Officials

• Chiou Yi Ho

  National Cancer Insitute, Malaysia

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: RANDOMIZED
• Masking: NONE
• Purpose: SUPPORTIVE CARE
• Intervention Model: PARALLEL
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Principal Investigator

Model Details: Multi-center prospective pilot trial study

Study Record Dates

• First Submitted: November 3, 2020
• First Posted: November 25, 2020
• Study Start: May 1, 2021
• Primary Completion: January 1, 2022
• Study Completion: March 31, 2022
• Last Updated: November 4, 2022

Record last verified: 2022-11

Locations

MY (1)