Effect of Artıfıcıal Intellıgence Based Mobıle Vırtual Assıstant
NCT ID: NCT06079450
Last Updated: 2023-10-12
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
1 participants
OBSERVATIONAL
2022-06-10
2023-08-07
Brief Summary
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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.
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Detailed Description
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Conditions
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Study Design
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OTHER
OTHER
Study Groups
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experimental group
Artificial intelligence-based mobile application initiative was implemented for diabetes patients
artificial intelligence based mobile application
Artificial intelligence-based mobile application developed by me that includes diabetes education for individuals with diabetes.
control group
no intervention was applied
No interventions assigned to this group
Interventions
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artificial intelligence based mobile application
Artificial intelligence-based mobile application developed by me that includes diabetes education for individuals with diabetes.
Eligibility Criteria
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Inclusion Criteria
* Using insulin for at least six months,
* Being between the ages of 18- 65,
* Being able to read and write and speak Turkish,
* Having an Android phone and being able to use mobile applications,
* To volunteer to participate in the study.
18 Years
65 Years
FEMALE
No
Sponsors
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Izmir Tinaztepe University
OTHER
Responsible Party
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Gökşen POLAT
Lecturer of Internal Medicine Nursing
Locations
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Izmir Katip Celebi University
Izmır, , Turkey (Türkiye)
Countries
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Other Identifiers
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IKCU
Identifier Type: -
Identifier Source: org_study_id
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