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

Not Applicable

Completed

• Conditions: Malnutrition; Protein; Malnutrition, Calorie; Weight Change, Body
• Interventions: Device: artificial intelligence dietary android mobile application

• Registration Number: NCT04643626
• Lead Sponsor: Universiti Putra Malaysia

Brief Summary

Multi-center prospective pilot trial study

Detailed 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.

Study Timeline

• Study First Submitted: 2020-11-03
• Study First Submitted QC: 2020-11-24
• Study First Posted: 2020-11-25
• Study Start: 2021-05-01
• Primary Completion: 2022-01-01
• Study Completion: 2022-03-31
• Status Verified: 2022-11
• Last Update Submitted: 2022-11-01
• Last Update Posted: 2022-11-04

Recruitment & Eligibility

• Status: COMPLETED
• Sex: All
• Target Recruitment: 56

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

Study & Design

• Study Type: INTERVENTIONAL
• Study Design: PARALLEL

Arm && Interventions

Group	Intervention	Description
IG	artificial intelligence dietary android mobile application	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.

Primary Outcome Measures

Name	Time	Method
weight changes	one month	compare weight before intervention and after intervention
daily energy intake	one month	compare daily energy intake before intervention and after intervention
daily protein intake	one month	compare daily protein intake before intervention and after intervention

Secondary Outcome Measures

Name	Time	Method
Nutrition Impact Symptoms (NIS)	one month	compare NIS score (scale data) before intervention and after intervention. The score range from 1 to 5 where score 1 is better while score 5 is worst
PG-SGA score	one month	compare PG-SGA score (numerical data) before intervention and after intervention

Trial Locations

Locations (1)

National Cancer Institute; 🇲🇾 Putrajaya, Wilayah Persekutuan Putrajaya, Malaysia