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Effect of Artıfıcıal Intellıgence Based Mobıle Vırtual Assıstant

NCT06079450 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 1

Last updated 2023-10-12

No results posted yet for this study

Summary

Aim: This study was conducted experimentally to examine the effect of artificial intelligence-based mobile virtual assistant developed for individuals with diabetes on cost, hospitalization rate, self-care and hypoglycemia.

Methods: The research is multi-stage and designed as three stages in itself. According to this; development of the mobile application in the first and second stages and adding artificial intelligence to the application as a project; In the third stage, it was planned to examine the effect of the application on the variables and scales. The data of the study were collected between June 2022 and June 2023 in the Endocrinology Polyclinic of two private hospitals in Izmir and a diabetes association where individuals with diabetes were registered. Power 0.80 was determined by using NCSS PAS statistical software from the population of the research; The minimum number of samples to be included in the study was calculated as n:122 and they were divided into two as intervention and control groups by randomization. The research sample was carried out as intervention (n:60) and control (n:60) lastly due to death and cost. Five data collection tools were used, namely "Individual Introduction Form", "Diabetes Self-Care Scale", "Hypoglycemia Confidence Scale", "Mobile Application Opinion Form" and "Cost Table". An artificial intelligence-based mobile virtual assistant application was applied to the individuals with diabetes in the intervention group, and the data were collected three times, at the 0th, 6th and 12th months, and the costs were recorded. The standard outpatient trainings, which are currently applied, continued to be given to individuals with diabetes in the control group, the data were collected twice, at the beginning (0. month) and 12. months, and the costs were recorded. In the evaluation of the data, number, percentage, arithmetic mean, standard deviation, minimum and maximum median were calculated. Among the variables, chi-square, Kruskal Wallis, Mann Whitney U test and t test were used.

Conditions

Interventions

OTHER

artificial intelligence based mobile application

Artificial intelligence-based mobile application developed by me that includes diabetes education for individuals with diabetes.

Sponsors & Collaborators

  • Izmir Tinaztepe University

    lead OTHER

Eligibility

Min Age
18 Years
Max Age
65 Years
Sex
FEMALE
Healthy Volunteers
No

Timeline & Regulatory

Start
2022-06-10
Primary Completion
2023-01-10
Completion
2023-08-07

Countries

  • Turkey (Türkiye)

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Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06079450 on ClinicalTrials.gov