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

Weight Change, Body Clinical Trial

Official title:

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

Clinical Trial Details — Status: Completed

Administrative data

• NCT number: NCT04643626
• Other study ID #: NMRR-19-2948-51031
• Status: Completed
• Phase: N/A
• Start date: May 1, 2021
• Est. completion date: March 31, 2022

Study information

• Verified date: November 2022
• Source: Universiti Putra Malaysia
• Contact: n/a
• Is FDA regulated: No
• Study type: Interventional

Clinical Trial Summary

Multi-center prospective pilot trial study

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.

Recruitment information / eligibility

• Status: Completed
• Enrollment: 56
• Est. completion date: March 31, 2022
• Est. primary completion date: January 1, 2022
• Accepts healthy volunteers: No
• Gender: All
• Age group: 18 Years and older

Eligibility

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

Related Conditions & MeSH terms

• Body Weight Changes
• Kwashiorkor
• Malnutrition
• Malnutrition, Calorie
• Malnutrition; Protein
• Weight Change, Body

Intervention

Device:
• artificial intelligence dietary android mobile application
subjects use artificial intelligence dietary mobile application to monitor dietary intake

Locations

Country	Name	City	State
Malaysia	National Cancer Institute	Putrajaya	Wilayah Persekutuan Putrajaya

Sponsors (2)

Lead Sponsor	Collaborator
Universiti Putra Malaysia	National Cancer Institute, Malaysia

Country where clinical trial is conducted

Malaysia, 

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	weight changes	compare weight before intervention and after intervention	one month
Primary	daily energy intake	compare daily energy intake before intervention and after intervention	one month
Primary	daily protein intake	compare daily protein intake before intervention and after intervention	one month
Secondary	PG-SGA score	compare PG-SGA score (numerical data) before intervention and after intervention	one month
Secondary	Nutrition Impact Symptoms (NIS)	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	one month